Social_media_impact
sommy
2026-05-25
1 Introduction:
This project investigates how social media usage affects students’ academic performance, sleep patterns, and mental health.
The analysis covers:
Data cleaning and preparation Exploratory Data Analysis (EDA) Descriptive statistics Data visualization Correlation analysis Hypothesis testing ANOVA Predictive modeling Insights and recommendations
#l oading of dataset
social <- read.csv("Social_media_impact_on_life.csv")2 viewing data set
names(social)## [1] "Student_ID" "Age"
## [3] "Gender" "Academic_Level"
## [5] "Country" "Avg_Daily_Usage_Hours"
## [7] "Most_Used_Platform" "Affects_Academic_Performance"
## [9] "Sleep_Hours_Per_Night" "Mental_Health_Score"
## [11] "Overall_Impact"nrow(social)## [1] 1705str(social)## 'data.frame': 1705 obs. of 11 variables:
## $ Student_ID : int 232 564 788 686 608 370 862 520 703 33 ...
## $ Age : int 21 23 22 18 24 19 22 21 24 19 ...
## $ Gender : chr "Male" "Female" "Male" "Male" ...
## $ Academic_Level : chr "Undergraduate" "Undergraduate" "Graduate" "Undergraduate" ...
## $ Country : chr "Other" "Other" "Canada" "Other" ...
## $ Avg_Daily_Usage_Hours : num 4 1.6 4.6 7 7.5 4.1 8 6 4.7 3.6 ...
## $ Most_Used_Platform : chr "Facebook" "LinkedIn" "Instagram" "Snapchat" ...
## $ Affects_Academic_Performance: chr "No" "No" "No" "Yes" ...
## $ Sleep_Hours_Per_Night : num 6.7 8.6 6.7 5.4 5 6.8 5.2 5.7 7 8.1 ...
## $ Mental_Health_Score : num 6.8 7.6 7 5.3 4.4 6.8 5.3 4.7 6.2 8.6 ...
## $ Overall_Impact : chr "Neutral" "Positive" "Neutral" "Negative" ...3 descriptive statistics
library(psych)
describe(social)## vars n mean sd median trimmed mad
## Student_ID 1 1705 439.51 267.06 427.0 429.61 315.79
## Age 2 1705 20.85 1.76 21.0 20.81 1.48
## Gender* 3 1705 1.51 0.50 2.0 1.52 0.00
## Academic_Level* 4 1705 2.05 0.89 2.0 2.07 1.48
## Country* 5 1705 64.29 27.69 74.0 65.70 25.20
## Avg_Daily_Usage_Hours 6 1705 5.10 1.68 5.1 5.11 1.93
## Most_Used_Platform* 7 1705 5.37 3.50 6.0 5.09 5.93
## Affects_Academic_Performance* 8 1705 1.59 0.49 2.0 1.62 0.00
## Sleep_Hours_Per_Night 9 1705 6.60 1.21 6.6 6.58 1.33
## Mental_Health_Score 10 1705 6.22 1.28 6.0 6.19 1.48
## Overall_Impact* 11 1705 1.74 0.88 1.0 1.68 0.00
## min max range skew kurtosis se
## Student_ID 1.0 1000.0 999.0 0.23 -0.94 6.47
## Age 18.0 24.0 6.0 0.15 -0.94 0.04
## Gender* 1.0 2.0 1.0 -0.06 -2.00 0.01
## Academic_Level* 1.0 3.0 2.0 -0.10 -1.73 0.02
## Country* 1.0 111.0 110.0 -0.48 -0.63 0.67
## Avg_Daily_Usage_Hours 1.5 8.5 7.0 -0.02 -0.80 0.04
## Most_Used_Platform* 1.0 12.0 11.0 0.38 -0.90 0.08
## Affects_Academic_Performance* 1.0 2.0 1.0 -0.38 -1.86 0.01
## Sleep_Hours_Per_Night 3.8 9.6 5.8 0.13 -0.92 0.03
## Mental_Health_Score 4.0 9.0 5.0 0.21 -0.85 0.03
## Overall_Impact* 1.0 3.0 2.0 0.53 -1.51 0.024 data preprocssing and Engineering
sum(is.na(social))## [1] 0##Absence of missing values in dataset
sum(duplicated(social))## [1] 04.1 No duplicated records
5 Convert categorical variables to factors
social$Gender <- as.factor(social$Gender)
social$Academic_Level <- as.factor(social$Academic_Level)
social$Country <- as.factor(social$Country)
social$Most_Used_Platform <- as.factor(social$Most_Used_Platform)
social$Affects_Academic_Performance <- as.factor(social$Affects_Academic_Performance)
social$Overall_Impact <- as.factor(social$Overall_Impact)
# Confirm changes
str(social)## 'data.frame': 1705 obs. of 11 variables:
## $ Student_ID : int 232 564 788 686 608 370 862 520 703 33 ...
## $ Age : int 21 23 22 18 24 19 22 21 24 19 ...
## $ Gender : Factor w/ 2 levels "Female","Male": 2 1 2 2 1 1 1 1 2 2 ...
## $ Academic_Level : Factor w/ 3 levels "Graduate","High School",..: 3 3 1 3 2 2 1 1 3 2 ...
## $ Country : Factor w/ 111 levels "Afghanistan",..: 74 74 19 74 74 74 74 74 106 74 ...
## $ Avg_Daily_Usage_Hours : num 4 1.6 4.6 7 7.5 4.1 8 6 4.7 3.6 ...
## $ Most_Used_Platform : Factor w/ 12 levels "Facebook","Instagram",..: 1 5 2 6 1 8 2 1 12 7 ...
## $ Affects_Academic_Performance: Factor w/ 2 levels "No","Yes": 1 1 1 2 2 2 2 2 1 1 ...
## $ Sleep_Hours_Per_Night : num 6.7 8.6 6.7 5.4 5 6.8 5.2 5.7 7 8.1 ...
## $ Mental_Health_Score : num 6.8 7.6 7 5.3 4.4 6.8 5.3 4.7 6.2 8.6 ...
## $ Overall_Impact : Factor w/ 3 levels "Negative","Neutral",..: 2 3 2 1 1 2 1 1 2 3 ...6 Exploratory Data Analysis (EDA)
6.1 select numerical variables
numerical_variables <- social %>% select(
Age,
Sleep_Hours_Per_Night,
Mental_Health_Score,
Avg_Daily_Usage_Hours)
describe(numerical_variables)## vars n mean sd median trimmed mad min max range
## Age 1 1705 20.85 1.76 21.0 20.81 1.48 18.0 24.0 6.0
## Sleep_Hours_Per_Night 2 1705 6.60 1.21 6.6 6.58 1.33 3.8 9.6 5.8
## Mental_Health_Score 3 1705 6.22 1.28 6.0 6.19 1.48 4.0 9.0 5.0
## Avg_Daily_Usage_Hours 4 1705 5.10 1.68 5.1 5.11 1.93 1.5 8.5 7.0
## skew kurtosis se
## Age 0.15 -0.94 0.04
## Sleep_Hours_Per_Night 0.13 -0.92 0.03
## Mental_Health_Score 0.21 -0.85 0.03
## Avg_Daily_Usage_Hours -0.02 -0.80 0.047 Distribution of Social Media Usage:This plot shows how much time students spend daily on social media platforms.
library(ggplot2)
ggplot(social,
aes(x= Avg_Daily_Usage_Hours)) +
geom_histogram(bins = 30,
fill = "steelblue",
color = "black") +
labs(
title = "Distribution of Daily Social Media Usage",
x = "Daily Usage Hours",
y = "Frequency" ) +
theme_minimal()
8 Gender distribution
ggplot(social,
aes(x = Gender,
fill = Gender)) +
geom_bar() +
labs(
title = "Gender Distribution",
x = "Gender",
y = "Count"
) +
theme_minimal()
9 Most used social Network: This chart identifies the most popular platform among students.
ggplot(social,
aes(x = Most_Used_Platform,
fill = Most_Used_Platform)) +
geom_bar() +
labs(
title = "Most Used Social Network",
x = " platform",
y = "count") +
theme_minimal() +
theme(axis.text.x = element_text(angle = 45,
hjust = 1))
11 correlation heat-map
corrplot(cor_matrix,
method = "color",
type = "upper",
addCoef.col = "black",
tl.col = "black",
tl.srt = 45)
12 Boxplot analysis
12.1 Mental Health by Academic Performance Impact
ggplot(social,
aes(x = Affects_Academic_Performance,
y = Mental_Health_Score,
fill = Affects_Academic_Performance)) +
geom_boxplot() +
labs(
title = "Mental Health by Academic Performance Impact",
x = "Academic Performance Affected",
y = "Mental Health Score"
) +
theme_minimal()
Individuals who reported that social media does not affect their
academic performance (“No”) generally have higher mental health scores.
Those who reported that it does affect their academic performance
(“Yes”) tend to have lower mental health scores. Recall a lower mental
health scores shows a negative overall impact while a higher mental
health score shows a positive overall impact
13 overall impact based on social media Usage
ggplot(social,
aes(x = Overall_Impact,
y = Mental_Health_Score,
fill = Affects_Academic_Performance)) +
geom_boxplot() +
labs(
title = "Mental Health by Overall Impact",
x = "Overall Impact",
y = "Mental Health Score"
) +
theme_minimal()
14 hypothesis testing
14.1 Does Social Media Affect Sleep?
Null Hypothesis (H0): No difference exists in sleep hours between high and low social media users. Alternative Hypothesis (H1): A significant difference exists.
# Create grouped variable
social_media <- social %>%
mutate(usage_group = ifelse(Avg_Daily_Usage_Hours > 5,
"High Usage",
"Low Usage"))
social_media## Student_ID Age Gender Academic_Level Country Avg_Daily_Usage_Hours
## 1 232 21 Male Undergraduate Other 4.0
## 2 564 23 Female Undergraduate Other 1.6
## 3 788 22 Male Graduate Canada 4.6
## 4 686 18 Male Undergraduate Other 7.0
## 5 608 24 Female High School Other 7.5
## 6 370 19 Female High School Other 4.1
## 7 862 22 Female Graduate Other 8.0
## 8 520 21 Female Graduate Other 6.0
## 9 703 24 Male Undergraduate USA 4.7
## 10 33 19 Male High School Other 3.6
## 11 519 18 Male Graduate Other 4.1
## 12 738 18 Male High School Other 7.6
## 13 119 20 Male Undergraduate Other 2.4
## 14 287 23 Female Undergraduate Other 6.2
## 15 610 24 Male Graduate India 2.7
## 16 383 18 Female Graduate Other 5.2
## 17 699 22 Female Graduate USA 6.5
## 18 302 21 Male High School Australia 6.8
## 19 277 21 Male Graduate Canada 6.9
## 20 631 20 Male Undergraduate Other 5.5
## 21 567 23 Female High School Other 2.0
## 22 110 19 Female Undergraduate Other 5.1
## 23 261 24 Male Undergraduate Other 2.0
## 24 691 23 Male Undergraduate India 2.0
## 25 109 23 Female Graduate Other 7.1
## 26 537 21 Male Undergraduate Other 6.2
## 27 824 20 Female Undergraduate Other 2.8
## 28 270 21 Female High School Other 7.4
## 29 932 20 Female Graduate USA 5.6
## 30 2 23 Female Undergraduate USA 2.7
## 31 808 20 Male High School Australia 7.3
## 32 143 24 Male Graduate Other 2.3
## 33 671 19 Male High School India 5.6
## 34 363 22 Female Graduate India 7.5
## 35 725 24 Male High School UK 5.9
## 36 120 18 Male Undergraduate UK 6.8
## 37 925 23 Male High School Other 6.7
## 38 223 22 Male Graduate Other 4.5
## 39 305 22 Male Graduate USA 5.7
## 40 70 19 Female Undergraduate Other 2.3
## 41 890 24 Male Undergraduate Other 8.3
## 42 84 21 Female Undergraduate Other 6.5
## 43 246 22 Female Graduate Other 6.9
## 44 64 20 Male Undergraduate Other 8.1
## 45 851 20 Female High School Other 7.2
## 46 827 20 Male Graduate Other 4.1
## 47 104 18 Male Graduate Other 7.2
## 48 103 19 Female High School Other 5.2
## 49 577 20 Male High School UK 7.4
## 50 692 21 Male High School Germany 3.6
## 51 124 22 Female High School Other 8.0
## 52 78 19 Female Undergraduate Other 7.9
## 53 315 21 Female Undergraduate India 6.8
## 54 483 22 Male High School Australia 7.3
## 55 512 21 Male Undergraduate Other 3.4
## 56 147 21 Female Graduate UK 4.4
## 57 603 22 Male Graduate Other 5.9
## 58 102 23 Male Graduate UK 6.0
## 59 654 24 Female High School Other 3.0
## 60 614 19 Male High School Other 2.7
## 61 552 24 Male Undergraduate Other 1.7
## 62 441 22 Female Graduate Other 6.2
## 63 847 21 Male Undergraduate Other 1.8
## 64 23 24 Female High School Other 7.1
## 65 46 20 Female High School India 6.5
## 66 620 22 Male High School Other 7.6
## 67 845 19 Female High School Other 4.9
## 68 434 24 Female High School Other 8.2
## 69 933 21 Male Undergraduate Other 5.2
## 70 7 19 Female Graduate Other 2.9
## 71 30 23 Female High School Other 4.4
## 72 395 20 Female Undergraduate Other 4.0
## 73 425 23 Male High School Other 6.4
## 74 865 22 Male Undergraduate UK 8.2
## 75 776 22 Male Undergraduate Other 5.1
## 76 867 19 Male Graduate Other 2.5
## 77 295 22 Male High School Other 6.5
## 78 786 24 Female Graduate Australia 7.5
## 79 809 24 Male Graduate Other 3.2
## 80 156 23 Male Undergraduate Germany 7.3
## 81 778 18 Female High School USA 5.7
## 82 814 23 Female Undergraduate Other 4.7
## 83 100 22 Male Graduate Other 5.9
## 84 732 18 Male High School Other 7.4
## 85 43 18 Male Undergraduate India 8.4
## 86 708 19 Male Undergraduate India 8.1
## 87 337 22 Female Undergraduate Other 3.6
## 88 904 20 Male High School Canada 5.8
## 89 201 21 Female Undergraduate USA 8.0
## 90 790 23 Male High School India 5.7
## 91 335 18 Male Undergraduate Australia 8.0
## 92 230 23 Male Undergraduate UK 3.7
## 93 4 20 Male Undergraduate Other 3.4
## 94 161 23 Female Graduate Australia 3.3
## 95 73 18 Female Undergraduate Canada 3.1
## 96 489 21 Male Graduate Other 8.2
## 97 679 20 Male Graduate USA 4.1
## 98 118 18 Female High School Other 3.5
## 99 130 21 Male High School Other 5.9
## 100 970 22 Male High School Germany 5.6
## 101 220 22 Male Graduate Canada 3.8
## 102 209 20 Male Undergraduate Other 3.8
## 103 188 21 Female Graduate Other 5.8
## 104 706 18 Male Undergraduate Other 3.7
## 105 328 20 Female High School Other 2.9
## 106 662 21 Male High School India 4.5
## 107 400 21 Male High School Other 3.8
## 108 931 20 Male Undergraduate Other 2.9
## 109 752 23 Male Undergraduate Other 5.0
## 110 542 21 Male Undergraduate Other 6.5
## 111 570 22 Female High School UK 3.6
## 112 369 18 Male Graduate Other 6.9
## 113 48 23 Female Graduate Other 2.3
## 114 444 19 Male Undergraduate Other 2.6
## 115 352 22 Male Graduate Other 6.2
## 116 644 24 Female Graduate Australia 3.8
## 117 296 20 Female Graduate Other 7.5
## 118 866 20 Male Graduate India 3.8
## 119 183 21 Female Undergraduate Other 8.4
## 120 557 24 Female Undergraduate Other 5.9
## 121 971 22 Male High School Australia 6.0
## 122 458 23 Male Undergraduate Other 3.5
## 123 864 21 Male Undergraduate Other 3.1
## 124 504 19 Female Undergraduate Canada 4.5
## 125 987 21 Female Graduate Other 5.6
## 126 419 21 Female Undergraduate Other 3.6
## 127 869 18 Male Undergraduate UK 7.3
## 128 117 21 Female High School Other 8.3
## 129 800 20 Female High School India 5.1
## 130 6 24 Female Undergraduate India 3.4
## 131 558 22 Female High School Other 8.0
## 132 983 18 Male High School Other 3.7
## 133 79 18 Female Graduate Other 3.3
## 134 225 21 Male High School Other 5.3
## 135 3 23 Female High School USA 3.8
## 136 634 24 Male High School Other 3.7
## 137 712 22 Female High School Other 1.9
## 138 656 21 Female Undergraduate Germany 4.4
## 139 873 18 Female Graduate UK 4.0
## 140 975 20 Male Undergraduate Other 5.6
## 141 469 22 Female High School Other 3.2
## 142 421 21 Female Undergraduate UK 6.1
## 143 325 18 Female Graduate Australia 5.3
## 144 76 18 Female Undergraduate Other 5.6
## 145 371 24 Male Undergraduate Other 6.3
## 146 617 23 Female High School Other 5.8
## 147 101 23 Male Undergraduate Canada 2.8
## 148 831 18 Female Undergraduate Other 6.5
## 149 900 23 Female Undergraduate Australia 4.6
## 150 828 18 Female Undergraduate USA 7.0
## 151 312 18 Male Undergraduate Other 1.8
## 152 583 18 Male High School Other 3.7
## 153 285 18 Male Graduate Other 7.9
## 154 267 22 Male Undergraduate India 4.6
## 155 460 20 Female Undergraduate Other 8.2
## 156 248 21 Female Undergraduate Other 8.4
## 157 652 22 Female Undergraduate Other 3.7
## 158 385 23 Female Graduate Other 7.3
## 159 909 24 Female Undergraduate Other 2.9
## 160 422 18 Male Undergraduate Other 1.8
## 161 767 23 Female Undergraduate Other 6.3
## 162 950 19 Male Undergraduate Other 3.4
## 163 16 24 Male High School Other 5.7
## 164 546 24 Female Graduate Other 3.8
## 165 199 21 Male High School Other 3.6
## 166 496 18 Female Graduate Other 6.5
## 167 364 24 Female Undergraduate Other 7.8
## 168 587 22 Male Graduate USA 3.7
## 169 838 18 Male High School Other 3.7
## 170 155 19 Male Undergraduate India 5.7
## 171 956 18 Female Undergraduate USA 3.3
## 172 632 21 Female Undergraduate Other 3.3
## 173 897 20 Male Undergraduate Other 1.8
## 174 457 23 Female Graduate Canada 5.4
## 175 358 20 Female High School Other 5.9
## 176 842 20 Male High School Australia 3.3
## 177 432 24 Male Undergraduate Other 7.2
## 178 688 18 Male Graduate Other 1.6
## 179 777 24 Female High School Other 3.4
## 180 982 22 Female Undergraduate Other 2.6
## 181 548 20 Female Undergraduate USA 5.1
## 182 15 23 Female Undergraduate Other 5.8
## 183 815 19 Male Undergraduate Australia 4.3
## 184 914 20 Female Undergraduate Other 2.5
## 185 375 22 Female Graduate Other 5.8
## 186 859 20 Male High School Other 2.5
## 187 834 19 Female Graduate Australia 6.4
## 188 965 20 Male Undergraduate Other 7.8
## 189 678 20 Male Graduate USA 6.5
## 190 791 22 Female Graduate India 3.0
## 191 377 24 Female Undergraduate Other 1.5
## 192 368 19 Female Undergraduate Other 8.1
## 193 193 21 Female High School Other 2.6
## 194 782 18 Male High School Other 2.7
## 195 442 23 Female Undergraduate Other 2.4
## 196 722 23 Female High School Other 6.6
## 197 674 22 Male Undergraduate USA 3.8
## 198 174 21 Female Graduate USA 5.8
## 199 374 20 Male Undergraduate Other 8.2
## 200 348 22 Male High School Other 4.5
## 201 730 18 Female Graduate Other 5.6
## 202 281 20 Male High School Other 3.5
## 203 957 23 Female Graduate Other 2.9
## 204 819 19 Male Undergraduate USA 6.6
## 205 27 24 Male Undergraduate India 8.0
## 206 639 18 Male Undergraduate Other 7.3
## 207 826 19 Female High School Other 2.5
## 208 723 19 Male Graduate Canada 2.6
## 209 206 24 Male Graduate India 2.3
## 210 28 21 Male Undergraduate Other 5.3
## 211 728 19 Female High School Other 7.7
## 212 594 19 Female High School Other 4.6
## 213 153 21 Male Graduate Other 5.9
## 214 784 18 Male High School Other 7.5
## 215 913 18 Male Graduate Canada 6.3
## 216 11 19 Male Graduate Other 5.3
## 217 451 23 Female Undergraduate Other 1.6
## 218 985 20 Male High School Other 6.5
## 219 724 20 Female Undergraduate Other 8.2
## 220 239 23 Male High School Other 6.1
## 221 160 22 Male Undergraduate Other 5.7
## 222 793 19 Female Undergraduate Other 5.1
## 223 389 24 Male Graduate Other 3.8
## 224 437 20 Male Graduate India 5.7
## 225 935 20 Female Graduate UK 6.6
## 226 321 20 Male Undergraduate USA 8.3
## 227 186 20 Male Graduate Other 7.1
## 228 123 18 Male Graduate Other 3.0
## 229 198 22 Male Graduate Other 8.5
## 230 111 24 Female Graduate Other 3.5
## 231 743 18 Female Undergraduate USA 3.8
## 232 953 19 Male Undergraduate Other 2.0
## 233 998 18 Female Graduate Other 4.2
## 234 802 21 Female High School Other 4.5
## 235 742 24 Female Undergraduate Other 4.2
## 236 224 24 Female High School Other 5.6
## 237 131 21 Female Undergraduate India 3.1
## 238 169 19 Female Undergraduate Other 5.9
## 239 382 22 Female High School India 7.5
## 240 918 20 Male Graduate Other 3.8
## 241 593 21 Female High School Other 3.3
## 242 52 24 Male Graduate Other 4.1
## 243 90 19 Female Undergraduate Other 6.8
## 244 60 23 Male High School Other 3.5
## 245 338 19 Male High School Canada 3.4
## 246 452 19 Male High School Other 5.8
## 247 736 19 Female High School India 6.0
## 248 746 23 Female High School Other 3.0
## 249 44 19 Male Undergraduate USA 5.0
## 250 773 24 Female Graduate India 5.5
## 251 721 20 Female Undergraduate India 5.3
## 252 129 21 Male Undergraduate Canada 5.6
## 253 606 19 Female Undergraduate India 5.8
## 254 961 18 Male Undergraduate Other 2.2
## 255 780 24 Male Graduate Other 1.7
## 256 215 21 Male High School India 3.0
## 257 290 18 Female Graduate Other 4.7
## 258 53 23 Male Graduate Other 6.2
## 259 408 18 Male Graduate Other 6.2
## 260 310 20 Female Graduate Other 1.9
## 261 702 23 Male High School UK 2.6
## 262 660 18 Male High School Other 5.9
## 263 14 20 Male Undergraduate Other 3.9
## 264 288 22 Female High School India 7.1
## 265 350 19 Male Undergraduate USA 3.9
## 266 611 20 Male Undergraduate Other 8.0
## 267 735 24 Male Graduate Other 5.9
## 268 402 24 Female High School Australia 8.4
## 269 488 21 Female Graduate Other 7.5
## 270 524 20 Female Graduate Australia 7.5
## 271 535 19 Male High School India 5.3
## 272 431 18 Male Undergraduate Canada 6.2
## 273 664 19 Male High School Other 5.2
## 274 572 21 Male Undergraduate Other 5.5
## 275 428 20 Male Undergraduate Canada 7.9
## 276 430 23 Male Graduate Other 7.7
## 277 238 20 Male High School Other 3.9
## 278 179 21 Female High School Other 3.9
## 279 289 21 Female High School Canada 5.9
## 280 958 18 Male High School Other 3.8
## 281 991 19 Male Undergraduate Other 7.4
## 282 894 20 Female Undergraduate Other 7.2
## 283 22 19 Male Undergraduate Other 6.1
## 284 919 22 Male High School India 3.9
## 285 487 20 Female Undergraduate Australia 5.6
## 286 177 22 Female High School Other 6.3
## 287 405 22 Female Graduate Other 2.3
## 288 45 19 Male Undergraduate India 6.4
## 289 682 19 Female High School USA 5.2
## 290 698 21 Female Graduate Germany 7.1
## 291 384 23 Female Undergraduate India 6.1
## 292 677 20 Male High School Other 7.9
## 293 858 19 Female High School Canada 7.4
## 294 283 20 Female Graduate UK 7.1
## 295 718 24 Male Undergraduate Other 5.2
## 296 936 21 Male Graduate Other 5.8
## 297 98 21 Female High School Other 5.8
## 298 895 19 Female Undergraduate Other 2.2
## 299 242 24 Male Graduate Germany 6.9
## 300 602 22 Female High School Other 6.9
## 301 207 20 Female Undergraduate Other 6.3
## 302 185 24 Female High School Other 4.4
## 303 286 23 Male Undergraduate Germany 3.2
## 304 926 21 Female High School UK 7.6
## 305 65 22 Female Graduate Other 3.5
## 306 214 24 Male High School Australia 4.6
## 307 997 21 Female Undergraduate Other 6.1
## 308 166 22 Male Undergraduate Other 3.3
## 309 213 24 Male High School Other 5.2
## 310 977 20 Female Graduate UK 5.9
## 311 856 23 Female Undergraduate Other 6.1
## 312 24 21 Male Graduate Other 3.9
## 313 745 20 Male Undergraduate Other 7.2
## 314 574 22 Female Undergraduate Other 7.9
## 315 467 18 Female Undergraduate Other 7.5
## 316 157 24 Female Undergraduate USA 6.4
## 317 596 21 Male Undergraduate India 7.6
## 318 41 18 Female High School Other 5.8
## 319 618 23 Female Graduate Canada 2.8
## 320 392 20 Male Undergraduate UK 6.3
## 321 753 23 Female Undergraduate Canada 4.3
## 322 530 20 Female High School Germany 8.2
## 323 518 18 Male Graduate Other 6.9
## 324 459 22 Male Undergraduate Other 5.7
## 325 116 24 Female High School Other 5.9
## 326 599 22 Female High School Other 1.9
## 327 272 23 Male High School Other 7.7
## 328 630 24 Male Undergraduate Other 3.2
## 329 672 24 Female Graduate Other 1.7
## 330 453 21 Male Graduate India 7.8
## 331 549 21 Male High School Germany 1.9
## 332 462 19 Male Graduate USA 7.5
## 333 426 21 Male Undergraduate USA 7.1
## 334 750 20 Female High School Canada 4.3
## 335 31 23 Male Undergraduate Other 8.2
## 336 391 21 Female Undergraduate Other 8.3
## 337 247 18 Female High School Other 8.1
## 338 219 19 Male High School Other 4.8
## 339 994 20 Female Graduate Other 2.7
## 340 929 18 Male Graduate UK 7.5
## 341 107 24 Male High School Other 3.8
## 342 218 21 Female Undergraduate Other 5.9
## 343 57 23 Male High School Other 3.4
## 344 576 19 Male Undergraduate USA 3.9
## 345 17 19 Male Undergraduate Other 7.9
## 346 765 24 Male Graduate Other 2.1
## 347 260 18 Male Undergraduate Other 6.3
## 348 189 24 Male Undergraduate Other 4.4
## 349 500 21 Female Undergraduate Australia 3.7
## 350 495 24 Female High School USA 7.4
## 351 663 21 Female Undergraduate India 4.4
## 352 774 23 Male Undergraduate Other 2.5
## 353 915 19 Female High School Germany 6.5
## 354 739 21 Female High School Other 3.7
## 355 40 22 Female Graduate Australia 7.6
## 356 152 18 Male Graduate India 6.8
## 357 684 23 Male Graduate Other 7.5
## 358 979 24 Female High School Other 7.1
## 359 94 24 Male High School Canada 6.7
## 360 9 19 Male Undergraduate Other 3.6
## 361 72 21 Male High School Other 3.1
## 362 787 21 Male Graduate Other 5.2
## 363 764 18 Female Undergraduate Other 4.7
## 364 347 19 Male High School Other 2.9
## 365 63 23 Female Graduate Other 3.6
## 366 758 20 Female High School USA 5.6
## 367 737 22 Male Graduate Other 5.2
## 368 892 24 Female Undergraduate Canada 1.7
## 369 379 19 Male Graduate Other 3.7
## 370 406 22 Male Undergraduate Australia 1.5
## 371 878 21 Male Graduate India 4.4
## 372 323 21 Male Undergraduate Other 7.4
## 373 146 22 Female High School Other 4.0
## 374 314 20 Male Graduate Other 2.0
## 375 141 20 Male High School Other 5.7
## 376 555 18 Male Undergraduate Other 4.5
## 377 751 24 Male High School Canada 3.2
## 378 170 20 Female High School Other 6.7
## 379 343 21 Male Undergraduate Other 8.3
## 380 959 18 Female Undergraduate Other 3.2
## 381 853 19 Female High School Other 5.9
## 382 619 21 Male Undergraduate Other 5.2
## 383 275 22 Male Undergraduate Other 3.5
## 384 928 22 Male High School USA 8.0
## 385 294 21 Female Graduate Other 7.3
## 386 150 21 Male Graduate Other 6.3
## 387 300 21 Male Graduate Other 8.4
## 388 257 19 Male High School USA 2.4
## 389 5 23 Female Graduate Other 6.4
## 390 47 24 Female High School Other 4.8
## 391 627 23 Female High School Other 7.7
## 392 575 21 Male Undergraduate Other 6.7
## 393 871 20 Female High School Other 2.9
## 394 436 19 Female High School Other 8.3
## 395 106 18 Male Undergraduate Other 2.5
## 396 990 18 Female Graduate Other 6.2
## 397 301 24 Male Graduate Other 2.8
## 398 917 18 Female High School Other 4.8
## 399 178 20 Male High School India 7.6
## 400 386 19 Female Undergraduate Other 4.5
## 401 840 21 Male High School Other 2.6
## 402 168 22 Female Undergraduate Other 2.3
## 403 843 20 Male Undergraduate Other 2.8
## 404 355 19 Male Graduate Other 7.0
## 405 658 23 Female Undergraduate Other 5.6
## 406 539 21 Male High School UK 3.5
## 407 566 18 Female High School USA 5.9
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## 1599 599 22 Female Graduate Italy 5.1
## 1600 600 19 Male Undergraduate Russia 6.7
## 1601 601 24 Female Graduate China 5.5
## 1602 602 21 Male Undergraduate Japan 4.3
## 1603 603 23 Female Graduate Poland 6.2
## 1604 604 20 Male Undergraduate Finland 4.5
## 1605 605 22 Female Graduate Spain 6.3
## 1606 606 19 Male Undergraduate Denmark 4.7
## 1607 607 24 Female Graduate Ireland 5.9
## 1608 608 21 Male Undergraduate India 7.1
## 1609 609 23 Female Graduate Switzerland 4.4
## 1610 610 20 Male Undergraduate Turkey 6.6
## 1611 611 22 Female Graduate USA 5.4
## 1612 612 19 Male Undergraduate Mexico 6.5
## 1613 613 24 Female Graduate France 4.8
## 1614 614 21 Male Undergraduate Canada 5.7
## 1615 615 23 Female Graduate UK 6.1
## 1616 616 20 Male Undergraduate Italy 4.6
## 1617 617 22 Female Graduate Russia 6.8
## 1618 618 19 Male Undergraduate China 5.6
## 1619 619 24 Female Graduate Japan 4.2
## 1620 620 21 Male Undergraduate Poland 6.3
## 1621 621 23 Female Graduate Finland 4.4
## 1622 622 20 Male Undergraduate Spain 6.5
## 1623 623 22 Female Graduate Denmark 4.6
## 1624 624 19 Male Undergraduate Ireland 5.8
## 1625 625 24 Female Graduate India 7.0
## 1626 626 21 Male Undergraduate Switzerland 4.5
## 1627 627 23 Female Graduate Turkey 6.7
## 1628 628 20 Male Undergraduate USA 5.5
## 1629 629 22 Female Graduate Mexico 6.4
## 1630 630 19 Male Undergraduate France 4.7
## 1631 631 24 Female Graduate Canada 5.6
## 1632 632 21 Male Undergraduate UK 6.2
## 1633 633 23 Female Graduate Italy 4.8
## 1634 634 20 Male Undergraduate Russia 6.9
## 1635 635 22 Female Graduate China 5.7
## 1636 636 19 Male Undergraduate Japan 4.4
## 1637 637 24 Female Graduate Poland 6.1
## 1638 638 21 Male Undergraduate Finland 4.3
## 1639 639 23 Female Graduate Spain 6.4
## 1640 640 20 Male Undergraduate Denmark 4.5
## 1641 641 22 Female Graduate Ireland 5.9
## 1642 642 19 Male Undergraduate India 7.2
## 1643 643 24 Female Graduate Switzerland 4.6
## 1644 644 21 Male Undergraduate Turkey 6.8
## 1645 645 23 Female Graduate USA 5.3
## 1646 646 22 Male Graduate Mexico 6.3
## 1647 647 20 Female Undergraduate France 4.8
## 1648 648 23 Male Graduate Canada 5.7
## 1649 649 21 Female Undergraduate UK 6.2
## 1650 650 24 Male Graduate Italy 4.7
## 1651 651 19 Female Undergraduate Russia 6.8
## 1652 652 22 Male Graduate China 5.6
## 1653 653 20 Female Undergraduate Japan 4.3
## 1654 654 23 Male Graduate Poland 6.2
## 1655 655 21 Female Undergraduate Finland 4.4
## 1656 656 24 Male Graduate Spain 6.5
## 1657 657 19 Female Undergraduate Denmark 4.6
## 1658 658 22 Male Graduate Ireland 5.8
## 1659 659 20 Female Undergraduate India 7.1
## 1660 660 23 Male Graduate Switzerland 4.5
## 1661 661 21 Female Undergraduate Turkey 6.7
## 1662 662 24 Male Graduate USA 5.4
## 1663 663 19 Female Undergraduate Mexico 6.4
## 1664 664 22 Male Graduate France 4.7
## 1665 665 20 Female Undergraduate Canada 5.6
## 1666 666 23 Male Graduate UK 6.3
## 1667 667 21 Female Undergraduate Italy 4.8
## 1668 668 24 Male Graduate Russia 6.9
## 1669 669 19 Female Undergraduate China 5.7
## 1670 670 22 Male Graduate Japan 4.4
## 1671 671 20 Female Undergraduate Poland 6.1
## 1672 672 23 Male Graduate Finland 4.3
## 1673 673 21 Female Undergraduate Spain 6.4
## 1674 674 24 Male Graduate Denmark 4.5
## 1675 675 19 Female Undergraduate Ireland 5.9
## 1676 676 22 Male Graduate India 7.2
## 1677 677 20 Female Undergraduate Switzerland 4.6
## 1678 678 23 Male Graduate Turkey 6.8
## 1679 679 21 Female Undergraduate USA 5.3
## 1680 680 24 Male Graduate Mexico 6.2
## 1681 681 19 Female Undergraduate France 4.7
## 1682 682 22 Male Graduate Canada 5.8
## 1683 683 20 Female Undergraduate UK 6.1
## 1684 684 23 Male Graduate Italy 4.8
## 1685 685 21 Female Undergraduate Russia 6.7
## 1686 686 24 Male Graduate China 5.5
## 1687 687 19 Female Undergraduate Japan 4.2
## 1688 688 22 Male Graduate Poland 6.3
## 1689 689 20 Female Undergraduate Finland 4.4
## 1690 690 23 Male Graduate Spain 6.5
## 1691 691 21 Female Undergraduate Denmark 4.6
## 1692 692 24 Male Graduate Ireland 5.9
## 1693 693 19 Female Undergraduate India 7.0
## 1694 694 22 Male Graduate Switzerland 4.5
## 1695 695 20 Female Undergraduate Turkey 6.6
## 1696 696 23 Male Graduate USA 5.5
## 1697 697 21 Female Undergraduate Mexico 6.3
## 1698 698 24 Male Graduate France 4.8
## 1699 699 19 Female Undergraduate Canada 5.7
## 1700 700 22 Male Graduate UK 6.2
## 1701 701 20 Female Undergraduate Italy 4.7
## 1702 702 23 Male Graduate Russia 6.8
## 1703 703 21 Female Undergraduate China 5.6
## 1704 704 24 Male Graduate Japan 4.3
## 1705 705 19 Female Undergraduate Poland 6.2
## Most_Used_Platform Affects_Academic_Performance Sleep_Hours_Per_Night
## 1 Facebook No 6.7
## 2 LinkedIn No 8.6
## 3 Instagram No 6.7
## 4 Snapchat Yes 5.4
## 5 Facebook Yes 5.0
## 6 Twitter Yes 6.8
## 7 Instagram Yes 5.2
## 8 Facebook Yes 5.7
## 9 YouTube No 7.0
## 10 TikTok No 8.1
## 11 LinkedIn No 7.3
## 12 Snapchat Yes 5.3
## 13 Facebook No 8.8
## 14 LinkedIn No 5.3
## 15 Instagram No 8.6
## 16 Twitter Yes 7.0
## 17 YouTube Yes 5.4
## 18 YouTube Yes 5.7
## 19 Facebook Yes 5.9
## 20 Instagram No 6.8
## 21 Facebook No 7.9
## 22 Snapchat Yes 7.1
## 23 Facebook Yes 7.8
## 24 TikTok No 7.2
## 25 LinkedIn Yes 5.4
## 26 Instagram Yes 4.7
## 27 LinkedIn No 8.3
## 28 TikTok Yes 4.6
## 29 TikTok Yes 5.7
## 30 YouTube No 7.8
## 31 YouTube No 6.0
## 32 Snapchat No 8.2
## 33 LinkedIn No 6.9
## 34 Facebook Yes 5.2
## 35 TikTok No 5.9
## 36 Instagram Yes 5.5
## 37 Snapchat Yes 5.5
## 38 Instagram No 6.1
## 39 LinkedIn Yes 6.8
## 40 Facebook No 8.0
## 41 Twitter Yes 5.5
## 42 Twitter Yes 5.7
## 43 Twitter Yes 5.3
## 44 TikTok No 4.5
## 45 Instagram No 4.8
## 46 Twitter Yes 6.6
## 47 LinkedIn Yes 4.5
## 48 Twitter No 7.5
## 49 Instagram Yes 5.2
## 50 Instagram No 7.1
## 51 YouTube Yes 5.4
## 52 Twitter No 5.0
## 53 YouTube Yes 5.3
## 54 Twitter Yes 5.5
## 55 LinkedIn No 8.6
## 56 LinkedIn Yes 6.4
## 57 Twitter No 4.7
## 58 TikTok No 4.8
## 59 TikTok No 8.1
## 60 Instagram No 8.5
## 61 Instagram No 7.7
## 62 YouTube Yes 5.3
## 63 TikTok No 7.9
## 64 Twitter Yes 5.2
## 65 Snapchat Yes 5.7
## 66 Snapchat Yes 5.9
## 67 LinkedIn No 6.8
## 68 Instagram No 5.3
## 69 Snapchat Yes 6.4
## 70 Instagram No 7.9
## 71 YouTube No 7.3
## 72 Snapchat No 7.5
## 73 TikTok Yes 5.2
## 74 Facebook Yes 4.6
## 75 Twitter No 6.5
## 76 YouTube No 7.6
## 77 Facebook No 5.8
## 78 YouTube Yes 4.7
## 79 LinkedIn No 7.1
## 80 Facebook Yes 5.7
## 81 Instagram No 5.1
## 82 Instagram Yes 6.1
## 83 Twitter No 6.0
## 84 YouTube Yes 5.0
## 85 TikTok Yes 5.9
## 86 Instagram Yes 4.8
## 87 LinkedIn No 8.6
## 88 Twitter Yes 5.6
## 89 Snapchat Yes 5.8
## 90 Snapchat No 5.9
## 91 TikTok No 4.6
## 92 Instagram No 8.4
## 93 Facebook Yes 8.6
## 94 Facebook Yes 8.6
## 95 Snapchat No 7.8
## 96 LinkedIn Yes 6.0
## 97 LinkedIn No 7.2
## 98 TikTok No 7.0
## 99 Facebook No 6.0
## 100 YouTube Yes 5.6
## 101 YouTube No 7.5
## 102 Facebook No 7.6
## 103 Facebook Yes 5.8
## 104 Snapchat Yes 7.5
## 105 LinkedIn No 8.3
## 106 LinkedIn Yes 7.5
## 107 Snapchat Yes 7.2
## 108 Twitter No 8.2
## 109 Twitter No 6.7
## 110 Instagram Yes 5.6
## 111 Instagram Yes 7.1
## 112 LinkedIn Yes 5.9
## 113 TikTok No 8.3
## 114 Snapchat No 7.8
## 115 Instagram Yes 4.8
## 116 Instagram No 7.3
## 117 Instagram Yes 4.7
## 118 Instagram No 8.2
## 119 TikTok No 5.3
## 120 Twitter Yes 4.9
## 121 YouTube Yes 6.8
## 122 TikTok Yes 8.5
## 123 LinkedIn No 8.5
## 124 Instagram Yes 6.1
## 125 Instagram Yes 5.4
## 126 Facebook No 7.2
## 127 LinkedIn No 5.3
## 128 YouTube Yes 5.1
## 129 LinkedIn No 6.3
## 130 YouTube No 8.0
## 131 Instagram Yes 4.9
## 132 LinkedIn Yes 6.9
## 133 Instagram No 8.3
## 134 Twitter Yes 7.3
## 135 Instagram No 7.4
## 136 Instagram No 7.4
## 137 Twitter No 9.0
## 138 Facebook Yes 6.5
## 139 LinkedIn No 6.9
## 140 YouTube Yes 5.3
## 141 YouTube No 8.3
## 142 Snapchat Yes 4.5
## 143 TikTok Yes 7.1
## 144 LinkedIn Yes 5.9
## 145 TikTok Yes 5.5
## 146 Snapchat No 6.9
## 147 Twitter Yes 7.7
## 148 YouTube No 5.6
## 149 Snapchat Yes 6.9
## 150 TikTok No 4.9
## 151 Twitter No 8.0
## 152 Instagram No 6.3
## 153 TikTok Yes 5.9
## 154 Snapchat Yes 6.6
## 155 Twitter Yes 5.8
## 156 TikTok No 5.9
## 157 TikTok Yes 7.1
## 158 TikTok Yes 5.5
## 159 Twitter Yes 7.7
## 160 Twitter No 8.9
## 161 Snapchat Yes 5.7
## 162 YouTube No 8.6
## 163 Facebook Yes 6.8
## 164 Facebook No 7.4
## 165 TikTok No 7.4
## 166 Facebook No 4.7
## 167 YouTube Yes 5.4
## 168 TikTok No 7.1
## 169 LinkedIn Yes 6.7
## 170 Facebook Yes 7.2
## 171 Facebook No 8.0
## 172 Facebook No 8.2
## 173 Snapchat No 8.5
## 174 Snapchat Yes 7.1
## 175 YouTube Yes 4.9
## 176 LinkedIn No 8.8
## 177 Snapchat Yes 4.7
## 178 Snapchat No 8.1
## 179 YouTube No 8.2
## 180 Twitter No 7.5
## 181 Twitter Yes 6.5
## 182 Instagram No 6.2
## 183 Instagram Yes 6.7
## 184 TikTok Yes 7.7
## 185 YouTube Yes 6.0
## 186 LinkedIn No 7.4
## 187 TikTok Yes 5.5
## 188 Twitter Yes 5.2
## 189 Twitter Yes 4.5
## 190 YouTube Yes 8.9
## 191 Facebook Yes 7.2
## 192 TikTok Yes 5.6
## 193 Snapchat Yes 7.4
## 194 Snapchat No 8.5
## 195 Snapchat Yes 7.6
## 196 TikTok Yes 6.0
## 197 YouTube No 7.9
## 198 LinkedIn No 7.0
## 199 LinkedIn Yes 6.0
## 200 Facebook Yes 6.0
## 201 Twitter Yes 4.8
## 202 TikTok No 7.9
## 203 YouTube Yes 7.3
## 204 TikTok Yes 5.9
## 205 Twitter Yes 5.1
## 206 LinkedIn Yes 5.1
## 207 Twitter No 7.3
## 208 TikTok No 8.4
## 209 Twitter No 8.3
## 210 Twitter Yes 7.3
## 211 Snapchat Yes 5.7
## 212 Snapchat No 6.2
## 213 YouTube No 7.1
## 214 LinkedIn Yes 5.0
## 215 LinkedIn Yes 6.0
## 216 YouTube No 7.0
## 217 TikTok Yes 8.7
## 218 LinkedIn Yes 4.5
## 219 Twitter Yes 5.0
## 220 LinkedIn Yes 5.9
## 221 LinkedIn No 7.3
## 222 Twitter Yes 7.1
## 223 Twitter Yes 6.3
## 224 YouTube Yes 5.1
## 225 Facebook Yes 5.3
## 226 Instagram Yes 5.1
## 227 Instagram Yes 6.0
## 228 Facebook No 8.4
## 229 Instagram No 6.0
## 230 Twitter No 7.2
## 231 Twitter No 8.4
## 232 Instagram No 7.1
## 233 Twitter Yes 6.9
## 234 YouTube No 6.1
## 235 YouTube No 7.3
## 236 Facebook Yes 5.5
## 237 Facebook Yes 7.2
## 238 Instagram No 5.5
## 239 YouTube Yes 5.5
## 240 Snapchat No 6.7
## 241 LinkedIn No 8.9
## 242 Facebook No 6.1
## 243 YouTube Yes 5.6
## 244 Snapchat No 7.0
## 245 YouTube Yes 8.5
## 246 LinkedIn Yes 6.3
## 247 TikTok Yes 6.8
## 248 TikTok No 8.6
## 249 Twitter No 7.5
## 250 Twitter Yes 4.6
## 251 TikTok Yes 6.0
## 252 Facebook No 6.0
## 253 Facebook Yes 7.4
## 254 Twitter No 8.3
## 255 LinkedIn No 8.4
## 256 Instagram No 7.2
## 257 TikTok No 6.6
## 258 YouTube No 5.9
## 259 TikTok Yes 5.9
## 260 Instagram No 7.8
## 261 LinkedIn No 8.8
## 262 Facebook No 6.1
## 263 LinkedIn No 6.9
## 264 Instagram No 5.1
## 265 Twitter Yes 6.1
## 266 TikTok No 4.9
## 267 Snapchat No 6.1
## 268 Facebook Yes 5.9
## 269 YouTube Yes 4.7
## 270 Snapchat Yes 5.2
## 271 Snapchat Yes 7.0
## 272 Twitter No 4.7
## 273 Facebook Yes 6.5
## 274 Facebook Yes 5.7
## 275 Instagram Yes 4.7
## 276 Snapchat Yes 5.3
## 277 YouTube Yes 6.7
## 278 LinkedIn Yes 6.9
## 279 YouTube Yes 6.0
## 280 Facebook No 8.4
## 281 TikTok Yes 5.5
## 282 LinkedIn Yes 5.9
## 283 TikTok Yes 4.6
## 284 Facebook No 8.6
## 285 LinkedIn Yes 4.9
## 286 Snapchat Yes 5.1
## 287 Facebook No 9.0
## 288 YouTube Yes 5.9
## 289 YouTube No 7.0
## 290 LinkedIn Yes 5.5
## 291 Instagram Yes 4.6
## 292 Twitter Yes 5.4
## 293 Twitter Yes 4.6
## 294 TikTok Yes 5.9
## 295 YouTube Yes 6.5
## 296 Twitter No 5.4
## 297 YouTube Yes 4.9
## 298 Twitter No 7.6
## 299 Snapchat Yes 5.3
## 300 Snapchat Yes 4.6
## 301 Facebook Yes 5.9
## 302 Twitter No 6.2
## 303 TikTok No 8.9
## 304 Facebook No 5.9
## 305 Instagram Yes 8.7
## 306 Snapchat Yes 6.4
## 307 Twitter Yes 4.5
## 308 TikTok No 8.2
## 309 LinkedIn Yes 6.9
## 310 LinkedIn Yes 5.5
## 311 Twitter Yes 5.1
## 312 TikTok No 7.7
## 313 Facebook Yes 4.6
## 314 LinkedIn No 5.6
## 315 TikTok Yes 5.8
## 316 Twitter Yes 6.0
## 317 Facebook Yes 5.8
## 318 Twitter Yes 5.0
## 319 Twitter No 7.4
## 320 Facebook No 4.7
## 321 Snapchat Yes 7.4
## 322 Snapchat Yes 4.8
## 323 Twitter Yes 5.9
## 324 Facebook Yes 4.6
## 325 TikTok No 5.8
## 326 Snapchat No 8.4
## 327 Snapchat Yes 5.1
## 328 Twitter No 7.8
## 329 TikTok No 8.7
## 330 TikTok Yes 5.0
## 331 Instagram Yes 8.7
## 332 TikTok Yes 4.9
## 333 YouTube Yes 5.9
## 334 Facebook No 6.4
## 335 Twitter No 5.7
## 336 TikTok No 4.6
## 337 Facebook No 4.7
## 338 TikTok Yes 7.0
## 339 YouTube No 7.8
## 340 LinkedIn Yes 5.4
## 341 LinkedIn No 7.9
## 342 Instagram Yes 4.9
## 343 Instagram No 8.4
## 344 Twitter Yes 6.6
## 345 TikTok Yes 5.4
## 346 Instagram Yes 7.2
## 347 Snapchat Yes 4.5
## 348 LinkedIn Yes 7.5
## 349 Twitter No 6.7
## 350 YouTube Yes 5.9
## 351 LinkedIn Yes 6.4
## 352 LinkedIn No 7.1
## 353 Facebook No 5.9
## 354 Twitter No 8.2
## 355 TikTok Yes 5.2
## 356 Instagram Yes 4.6
## 357 Instagram Yes 5.7
## 358 YouTube Yes 4.7
## 359 Twitter Yes 6.0
## 360 Twitter Yes 6.9
## 361 Snapchat Yes 7.5
## 362 TikTok Yes 6.4
## 363 LinkedIn No 6.2
## 364 YouTube No 8.0
## 365 Snapchat No 8.4
## 366 TikTok No 6.8
## 367 Facebook Yes 7.2
## 368 YouTube No 7.1
## 369 YouTube No 7.0
## 370 Instagram No 8.7
## 371 Instagram No 7.3
## 372 Instagram Yes 4.8
## 373 Facebook Yes 6.0
## 374 Twitter No 7.7
## 375 LinkedIn Yes 5.5
## 376 LinkedIn No 6.1
## 377 TikTok No 7.5
## 378 Twitter Yes 5.1
## 379 Snapchat Yes 4.7
## 380 Snapchat No 7.8
## 381 TikTok No 6.3
## 382 YouTube Yes 6.6
## 383 LinkedIn No 8.1
## 384 YouTube Yes 5.2
## 385 TikTok Yes 5.8
## 386 YouTube Yes 5.9
## 387 Snapchat Yes 4.7
## 388 LinkedIn No 7.2
## 389 Instagram Yes 5.4
## 390 LinkedIn Yes 6.7
## 391 Snapchat Yes 5.3
## 392 Facebook Yes 4.6
## 393 Facebook No 8.4
## 394 LinkedIn Yes 5.0
## 395 LinkedIn No 8.7
## 396 Facebook Yes 5.1
## 397 Snapchat No 8.5
## 398 LinkedIn Yes 6.8
## 399 Instagram Yes 5.4
## 400 Facebook No 6.2
## 401 TikTok No 7.4
## 402 YouTube No 8.8
## 403 Twitter No 8.2
## 404 Instagram Yes 4.7
## 405 YouTube No 6.6
## 406 Instagram No 8.5
## 407 Twitter No 4.5
## 408 LinkedIn No 8.4
## 409 Facebook No 5.5
## 410 Twitter No 7.5
## 411 Instagram Yes 4.8
## 412 Instagram No 7.2
## 413 Instagram Yes 6.6
## 414 Snapchat Yes 5.3
## 415 Instagram No 5.3
## 416 LinkedIn Yes 5.8
## 417 Instagram Yes 7.5
## 418 Twitter No 7.2
## 419 YouTube Yes 5.1
## 420 Twitter Yes 6.0
## 421 Instagram No 6.9
## 422 Facebook Yes 5.5
## 423 Instagram Yes 5.9
## 424 TikTok Yes 5.8
## 425 Snapchat Yes 6.9
## 426 LinkedIn Yes 6.6
## 427 Instagram No 5.3
## 428 Snapchat Yes 5.8
## 429 TikTok No 5.3
## 430 Snapchat No 5.9
## 431 YouTube Yes 4.8
## 432 Facebook Yes 5.7
## 433 YouTube No 7.1
## 434 LinkedIn Yes 7.0
## 435 Instagram Yes 5.8
## 436 LinkedIn Yes 5.4
## 437 Snapchat Yes 6.2
## 438 Facebook Yes 6.9
## 439 Twitter Yes 7.4
## 440 LinkedIn Yes 5.5
## 441 Snapchat Yes 5.6
## 442 LinkedIn Yes 5.3
## 443 Snapchat Yes 5.3
## 444 Snapchat No 7.5
## 445 YouTube Yes 5.8
## 446 Instagram No 4.5
## 447 LinkedIn No 7.2
## 448 TikTok No 8.6
## 449 Instagram No 8.2
## 450 YouTube Yes 5.8
## 451 YouTube No 7.7
## 452 YouTube Yes 7.7
## 453 Twitter Yes 5.9
## 454 YouTube No 7.6
## 455 Snapchat Yes 8.1
## 456 YouTube Yes 5.6
## 457 Twitter No 7.5
## 458 TikTok Yes 5.5
## 459 Twitter No 8.0
## 460 YouTube Yes 6.7
## 461 YouTube Yes 5.3
## 462 Facebook No 6.0
## 463 TikTok Yes 6.8
## 464 YouTube Yes 4.5
## 465 TikTok Yes 4.7
## 466 Instagram Yes 5.8
## 467 YouTube Yes 5.8
## 468 LinkedIn Yes 5.9
## 469 LinkedIn No 8.1
## 470 YouTube Yes 6.0
## 471 TikTok Yes 4.5
## 472 Snapchat Yes 5.8
## 473 Instagram Yes 5.9
## 474 Snapchat Yes 7.1
## 475 YouTube No 8.7
## 476 TikTok Yes 8.5
## 477 YouTube No 6.4
## 478 Facebook No 7.7
## 479 TikTok Yes 5.7
## 480 Instagram Yes 6.4
## 481 Snapchat No 5.3
## 482 Instagram Yes 5.6
## 483 TikTok Yes 4.9
## 484 YouTube Yes 6.2
## 485 Facebook Yes 5.8
## 486 Twitter Yes 5.3
## 487 LinkedIn No 7.2
## 488 YouTube Yes 6.4
## 489 Snapchat No 6.6
## 490 YouTube Yes 5.6
## 491 LinkedIn Yes 5.8
## 492 Snapchat No 6.1
## 493 TikTok Yes 7.5
## 494 LinkedIn Yes 7.2
## 495 YouTube No 8.6
## 496 Twitter Yes 5.6
## 497 TikTok Yes 7.4
## 498 LinkedIn No 7.1
## 499 Twitter Yes 6.3
## 500 Twitter Yes 6.0
## 501 TikTok Yes 5.2
## 502 Twitter Yes 5.0
## 503 TikTok No 5.0
## 504 Twitter Yes 5.0
## 505 Snapchat No 7.5
## 506 Facebook Yes 7.3
## 507 LinkedIn Yes 6.1
## 508 TikTok Yes 7.1
## 509 Twitter Yes 5.3
## 510 Facebook No 7.5
## 511 YouTube Yes 6.9
## 512 YouTube Yes 6.9
## 513 Twitter Yes 5.3
## 514 LinkedIn No 7.4
## 515 Instagram No 6.0
## 516 Twitter No 4.7
## 517 Snapchat No 6.6
## 518 YouTube Yes 4.7
## 519 Facebook Yes 7.3
## 520 Snapchat No 6.2
## 521 TikTok No 6.4
## 522 TikTok Yes 6.1
## 523 Facebook Yes 5.2
## 524 Snapchat Yes 5.8
## 525 YouTube Yes 4.5
## 526 Twitter Yes 6.6
## 527 Snapchat Yes 4.9
## 528 Twitter No 8.5
## 529 Instagram No 5.4
## 530 Snapchat Yes 6.3
## 531 LinkedIn Yes 6.0
## 532 TikTok Yes 5.4
## 533 LinkedIn Yes 6.0
## 534 LinkedIn Yes 6.8
## 535 Instagram Yes 7.7
## 536 Twitter Yes 4.8
## 537 Facebook Yes 5.7
## 538 TikTok Yes 5.5
## 539 YouTube No 6.9
## 540 Instagram No 6.4
## 541 Instagram Yes 6.6
## 542 Twitter No 7.0
## 543 YouTube Yes 4.6
## 544 Twitter No 7.3
## 545 Instagram No 5.8
## 546 Instagram Yes 5.2
## 547 Twitter Yes 5.9
## 548 YouTube No 8.7
## 549 LinkedIn Yes 5.0
## 550 LinkedIn Yes 8.8
## 551 TikTok Yes 5.3
## 552 Snapchat Yes 7.3
## 553 Instagram Yes 7.4
## 554 Facebook Yes 8.7
## 555 Instagram No 8.1
## 556 TikTok Yes 6.0
## 557 TikTok Yes 5.5
## 558 TikTok Yes 6.5
## 559 Snapchat No 5.6
## 560 Twitter Yes 7.4
## 561 Twitter No 6.9
## 562 YouTube No 8.8
## 563 LinkedIn Yes 4.5
## 564 Snapchat Yes 5.2
## 565 TikTok Yes 8.2
## 566 Instagram Yes 5.4
## 567 TikTok No 7.6
## 568 TikTok No 8.8
## 569 Snapchat No 5.4
## 570 Twitter Yes 5.7
## 571 TikTok Yes 7.4
## 572 Facebook No 4.5
## 573 Instagram No 8.7
## 574 LinkedIn No 6.7
## 575 Snapchat No 5.5
## 576 Snapchat No 8.0
## 577 YouTube Yes 6.5
## 578 TikTok Yes 6.8
## 579 TikTok Yes 5.1
## 580 LinkedIn Yes 6.0
## 581 Facebook No 7.1
## 582 Facebook Yes 5.4
## 583 LinkedIn No 8.9
## 584 TikTok Yes 5.0
## 585 Snapchat Yes 7.4
## 586 Twitter No 7.3
## 587 Facebook Yes 6.9
## 588 YouTube Yes 9.0
## 589 Instagram No 7.6
## 590 Instagram No 8.0
## 591 Twitter No 7.3
## 592 LinkedIn Yes 5.8
## 593 Facebook No 5.6
## 594 Twitter No 5.6
## 595 Instagram No 7.0
## 596 TikTok Yes 8.7
## 597 Twitter Yes 4.6
## 598 TikTok Yes 5.4
## 599 LinkedIn Yes 4.6
## 600 YouTube Yes 5.1
## 601 Facebook No 7.2
## 602 TikTok Yes 5.9
## 603 YouTube No 7.6
## 604 TikTok Yes 5.6
## 605 YouTube Yes 6.4
## 606 Twitter Yes 4.6
## 607 Instagram No 6.6
## 608 YouTube No 4.5
## 609 TikTok Yes 4.8
## 610 LinkedIn No 8.5
## 611 LinkedIn Yes 8.6
## 612 Facebook Yes 5.6
## 613 Instagram Yes 5.8
## 614 YouTube Yes 7.4
## 615 LinkedIn Yes 5.1
## 616 YouTube No 5.2
## 617 Twitter Yes 4.6
## 618 Facebook No 6.7
## 619 TikTok No 8.1
## 620 Facebook No 5.1
## 621 Facebook Yes 6.8
## 622 LinkedIn No 8.2
## 623 Snapchat No 8.9
## 624 LinkedIn Yes 6.8
## 625 Instagram No 4.6
## 626 LinkedIn Yes 4.8
## 627 Instagram Yes 4.5
## 628 LinkedIn Yes 7.9
## 629 LinkedIn No 7.5
## 630 Snapchat No 4.9
## 631 LinkedIn Yes 5.7
## 632 TikTok No 6.1
## 633 Twitter Yes 7.0
## 634 Instagram No 8.6
## 635 TikTok No 8.6
## 636 Instagram No 8.2
## 637 TikTok Yes 5.0
## 638 Twitter Yes 4.9
## 639 Twitter No 7.3
## 640 Facebook No 6.8
## 641 Snapchat Yes 5.3
## 642 Instagram Yes 5.6
## 643 Facebook No 5.4
## 644 Snapchat Yes 6.5
## 645 YouTube Yes 5.0
## 646 Twitter Yes 5.4
## 647 YouTube No 6.1
## 648 LinkedIn No 5.2
## 649 Twitter Yes 7.1
## 650 Instagram Yes 5.8
## 651 Twitter No 8.8
## 652 Facebook No 6.7
## 653 Twitter Yes 5.6
## 654 Instagram No 7.8
## 655 Facebook Yes 6.6
## 656 Twitter No 7.3
## 657 YouTube Yes 5.0
## 658 Facebook Yes 4.6
## 659 Facebook Yes 7.5
## 660 YouTube Yes 5.5
## 661 YouTube No 4.9
## 662 Snapchat No 8.4
## 663 Snapchat Yes 5.4
## 664 Instagram Yes 5.9
## 665 Instagram No 8.8
## 666 Snapchat Yes 4.8
## 667 Facebook Yes 5.7
## 668 Twitter Yes 5.3
## 669 YouTube Yes 7.2
## 670 Snapchat Yes 5.6
## 671 Instagram Yes 5.7
## 672 TikTok Yes 4.8
## 673 YouTube No 6.0
## 674 TikTok No 6.3
## 675 YouTube Yes 5.6
## 676 Twitter No 5.2
## 677 Instagram No 7.0
## 678 Facebook Yes 5.2
## 679 LinkedIn Yes 4.6
## 680 YouTube No 6.1
## 681 Facebook Yes 4.8
## 682 TikTok No 7.9
## 683 LinkedIn No 7.1
## 684 LinkedIn No 7.9
## 685 LinkedIn No 8.7
## 686 Twitter No 8.5
## 687 TikTok Yes 6.3
## 688 YouTube No 6.7
## 689 YouTube Yes 5.6
## 690 Instagram No 7.3
## 691 LinkedIn No 7.4
## 692 TikTok No 7.7
## 693 Snapchat Yes 5.4
## 694 YouTube No 7.9
## 695 Snapchat No 8.2
## 696 Instagram No 8.7
## 697 LinkedIn Yes 5.9
## 698 Twitter Yes 7.1
## 699 YouTube Yes 6.0
## 700 LinkedIn No 5.9
## 701 Twitter Yes 5.2
## 702 Snapchat Yes 6.5
## 703 Facebook Yes 4.6
## 704 TikTok Yes 4.5
## 705 Facebook No 8.7
## 706 Snapchat Yes 6.6
## 707 YouTube Yes 5.2
## 708 Snapchat Yes 5.8
## 709 Snapchat Yes 6.7
## 710 LinkedIn No 8.5
## 711 LinkedIn No 6.5
## 712 LinkedIn No 5.1
## 713 YouTube No 8.5
## 714 Facebook Yes 7.1
## 715 Twitter No 6.0
## 716 LinkedIn No 7.1
## 717 Instagram Yes 7.1
## 718 LinkedIn No 6.9
## 719 YouTube No 7.4
## 720 TikTok No 7.0
## 721 TikTok Yes 5.6
## 722 LinkedIn Yes 5.5
## 723 Instagram Yes 5.8
## 724 Twitter No 6.8
## 725 Snapchat No 5.4
## 726 TikTok No 8.6
## 727 TikTok No 6.1
## 728 YouTube No 5.5
## 729 Facebook Yes 5.5
## 730 LinkedIn Yes 5.1
## 731 Facebook No 7.3
## 732 Snapchat Yes 4.6
## 733 YouTube No 7.7
## 734 LinkedIn Yes 7.1
## 735 Snapchat No 6.7
## 736 TikTok Yes 5.2
## 737 TikTok No 5.8
## 738 Twitter No 7.3
## 739 Snapchat Yes 5.8
## 740 Snapchat Yes 5.5
## 741 YouTube Yes 5.6
## 742 LinkedIn No 6.9
## 743 LinkedIn Yes 5.4
## 744 YouTube No 6.7
## 745 YouTube No 6.7
## 746 LinkedIn No 7.3
## 747 Twitter No 8.6
## 748 TikTok Yes 4.7
## 749 Snapchat Yes 5.0
## 750 Facebook Yes 8.0
## 751 Snapchat Yes 4.8
## 752 Snapchat No 7.4
## 753 Snapchat Yes 4.7
## 754 LinkedIn No 6.1
## 755 Facebook No 7.0
## 756 Instagram No 8.8
## 757 Twitter Yes 5.6
## 758 YouTube No 8.3
## 759 Facebook Yes 5.2
## 760 Facebook Yes 7.7
## 761 Facebook Yes 5.1
## 762 Instagram Yes 5.8
## 763 YouTube Yes 6.2
## 764 YouTube No 8.7
## 765 YouTube Yes 6.0
## 766 Twitter Yes 7.3
## 767 Snapchat Yes 5.0
## 768 Instagram Yes 4.6
## 769 Twitter Yes 6.9
## 770 TikTok No 5.6
## 771 Facebook No 8.8
## 772 LinkedIn No 7.6
## 773 Facebook No 7.8
## 774 Instagram No 6.7
## 775 Instagram No 4.8
## 776 Snapchat No 4.9
## 777 TikTok Yes 5.6
## 778 Snapchat Yes 4.6
## 779 Instagram Yes 5.9
## 780 Instagram No 5.3
## 781 LinkedIn No 8.9
## 782 TikTok Yes 5.7
## 783 Twitter Yes 6.1
## 784 TikTok Yes 5.5
## 785 TikTok No 7.2
## 786 Instagram Yes 5.4
## 787 LinkedIn Yes 6.3
## 788 YouTube Yes 5.2
## 789 TikTok No 7.1
## 790 Snapchat Yes 7.1
## 791 Snapchat Yes 5.9
## 792 YouTube Yes 5.7
## 793 YouTube Yes 4.9
## 794 LinkedIn Yes 7.2
## 795 Facebook Yes 4.8
## 796 Snapchat No 6.2
## 797 LinkedIn No 6.2
## 798 LinkedIn No 5.6
## 799 TikTok Yes 5.5
## 800 LinkedIn No 7.6
## 801 Snapchat No 5.8
## 802 TikTok Yes 5.4
## 803 YouTube Yes 5.3
## 804 Instagram Yes 5.3
## 805 Facebook Yes 5.7
## 806 TikTok Yes 4.8
## 807 Twitter Yes 5.2
## 808 LinkedIn Yes 5.2
## 809 Twitter Yes 5.5
## 810 TikTok Yes 4.7
## 811 LinkedIn Yes 4.6
## 812 LinkedIn Yes 5.1
## 813 LinkedIn No 5.1
## 814 Snapchat Yes 5.6
## 815 Instagram Yes 6.0
## 816 LinkedIn No 9.0
## 817 Snapchat No 5.4
## 818 Instagram Yes 6.5
## 819 TikTok Yes 5.6
## 820 Twitter Yes 5.5
## 821 Snapchat Yes 5.2
## 822 TikTok No 5.2
## 823 Facebook No 7.1
## 824 YouTube No 8.5
## 825 Twitter No 5.0
## 826 Instagram No 4.7
## 827 Facebook No 7.5
## 828 Instagram Yes 8.7
## 829 Instagram Yes 8.8
## 830 YouTube No 7.1
## 831 Facebook Yes 5.9
## 832 YouTube Yes 5.2
## 833 Facebook Yes 5.0
## 834 LinkedIn No 7.3
## 835 TikTok No 5.5
## 836 LinkedIn Yes 6.8
## 837 Facebook Yes 5.6
## 838 TikTok Yes 7.7
## 839 YouTube Yes 6.6
## 840 TikTok No 7.6
## 841 Snapchat No 7.9
## 842 Snapchat Yes 5.7
## 843 YouTube Yes 5.0
## 844 Facebook Yes 6.0
## 845 TikTok No 5.8
## 846 YouTube Yes 5.5
## 847 Instagram Yes 4.5
## 848 LinkedIn No 7.0
## 849 YouTube Yes 7.2
## 850 YouTube Yes 4.6
## 851 Snapchat No 7.2
## 852 LinkedIn No 7.5
## 853 Snapchat Yes 4.5
## 854 Facebook No 4.8
## 855 Snapchat No 7.1
## 856 Instagram Yes 4.8
## 857 Instagram Yes 4.7
## 858 Snapchat No 6.6
## 859 Facebook Yes 7.4
## 860 LinkedIn Yes 4.9
## 861 YouTube No 5.9
## 862 LinkedIn No 7.9
## 863 TikTok No 6.8
## 864 Facebook Yes 6.5
## 865 TikTok No 8.8
## 866 YouTube No 7.9
## 867 YouTube No 4.9
## 868 Facebook Yes 7.2
## 869 Facebook Yes 5.2
## 870 YouTube No 7.8
## 871 Instagram No 7.0
## 872 TikTok Yes 7.1
## 873 TikTok Yes 6.0
## 874 Twitter Yes 6.6
## 875 Twitter No 6.9
## 876 Instagram No 6.4
## 877 Snapchat No 6.1
## 878 YouTube No 7.2
## 879 LinkedIn Yes 6.2
## 880 Facebook No 5.8
## 881 Facebook Yes 7.3
## 882 Facebook Yes 5.1
## 883 Snapchat Yes 5.7
## 884 LinkedIn No 6.6
## 885 YouTube No 8.3
## 886 LinkedIn Yes 6.0
## 887 LinkedIn Yes 5.8
## 888 YouTube Yes 5.4
## 889 YouTube Yes 5.9
## 890 LinkedIn Yes 5.0
## 891 Instagram No 7.8
## 892 Snapchat No 7.1
## 893 Twitter Yes 5.4
## 894 Facebook No 8.4
## 895 LinkedIn No 8.2
## 896 Facebook Yes 6.3
## 897 LinkedIn Yes 6.2
## 898 YouTube Yes 7.1
## 899 Facebook Yes 5.4
## 900 LinkedIn Yes 4.7
## 901 Instagram No 8.3
## 902 LinkedIn No 7.4
## 903 Snapchat Yes 7.2
## 904 Facebook Yes 5.8
## 905 Instagram No 7.5
## 906 Twitter Yes 6.8
## 907 Snapchat No 8.5
## 908 Twitter No 7.0
## 909 Facebook No 7.4
## 910 LinkedIn Yes 6.5
## 911 Instagram Yes 6.5
## 912 Snapchat No 7.2
## 913 Facebook No 7.9
## 914 Facebook No 6.5
## 915 YouTube No 6.2
## 916 Snapchat Yes 6.3
## 917 YouTube Yes 5.5
## 918 Facebook Yes 5.3
## 919 Facebook No 6.3
## 920 LinkedIn Yes 5.7
## 921 LinkedIn No 7.5
## 922 Facebook Yes 5.8
## 923 Facebook Yes 5.5
## 924 Snapchat Yes 5.1
## 925 LinkedIn No 8.4
## 926 TikTok Yes 5.2
## 927 TikTok No 7.4
## 928 Twitter Yes 5.8
## 929 TikTok No 7.5
## 930 Instagram Yes 8.8
## 931 Facebook Yes 5.9
## 932 Instagram No 7.7
## 933 YouTube Yes 5.6
## 934 TikTok No 8.0
## 935 TikTok Yes 8.0
## 936 Twitter Yes 6.0
## 937 Instagram No 6.0
## 938 Instagram Yes 5.2
## 939 LinkedIn No 8.9
## 940 Twitter Yes 4.8
## 941 Instagram Yes 5.7
## 942 Twitter No 8.2
## 943 YouTube No 7.2
## 944 Instagram Yes 5.9
## 945 Snapchat No 8.6
## 946 LinkedIn No 4.7
## 947 Snapchat No 6.1
## 948 YouTube No 8.6
## 949 LinkedIn No 6.0
## 950 TikTok Yes 5.0
## 951 Instagram No 6.6
## 952 YouTube Yes 5.9
## 953 Twitter No 5.4
## 954 Twitter Yes 5.6
## 955 Twitter No 7.6
## 956 LinkedIn No 6.8
## 957 LinkedIn No 7.2
## 958 TikTok Yes 6.2
## 959 Snapchat No 5.0
## 960 TikTok No 5.3
## 961 YouTube No 7.4
## 962 Twitter Yes 6.0
## 963 Facebook Yes 5.1
## 964 Instagram Yes 6.6
## 965 YouTube No 7.1
## 966 Facebook No 5.1
## 967 Instagram Yes 5.4
## 968 Twitter Yes 4.6
## 969 Snapchat Yes 5.6
## 970 Snapchat Yes 5.8
## 971 Facebook No 8.4
## 972 Snapchat Yes 4.6
## 973 Instagram No 7.1
## 974 Facebook Yes 7.4
## 975 YouTube Yes 5.5
## 976 LinkedIn No 9.0
## 977 YouTube No 8.5
## 978 Snapchat Yes 4.8
## 979 Snapchat No 6.4
## 980 Facebook No 5.0
## 981 TikTok Yes 8.7
## 982 Twitter Yes 5.1
## 983 YouTube No 7.7
## 984 Twitter No 7.3
## 985 Instagram No 7.0
## 986 Instagram Yes 5.4
## 987 YouTube No 5.9
## 988 LinkedIn No 7.0
## 989 Snapchat Yes 5.5
## 990 Twitter No 5.1
## 991 YouTube Yes 5.0
## 992 YouTube No 8.6
## 993 Twitter Yes 5.9
## 994 Instagram Yes 5.6
## 995 Instagram Yes 5.8
## 996 YouTube No 7.7
## 997 YouTube Yes 5.3
## 998 Snapchat No 6.3
## 999 Snapchat No 4.6
## 1000 YouTube Yes 5.6
## 1001 Instagram Yes 6.5
## 1002 Twitter No 7.5
## 1003 TikTok Yes 5.0
## 1004 YouTube No 7.0
## 1005 Facebook Yes 6.0
## 1006 Instagram Yes 4.5
## 1007 LinkedIn No 8.0
## 1008 Snapchat Yes 6.0
## 1009 TikTok No 6.5
## 1010 Instagram No 7.0
## 1011 Snapchat Yes 6.2
## 1012 TikTok Yes 5.8
## 1013 LinkedIn No 7.2
## 1014 Instagram Yes 5.5
## 1015 YouTube No 6.8
## 1016 TikTok Yes 6.0
## 1017 LinkedIn No 7.8
## 1018 Instagram Yes 5.7
## 1019 Facebook No 6.7
## 1020 Snapchat Yes 5.9
## 1021 TikTok Yes 5.5
## 1022 LinkedIn No 7.3
## 1023 Instagram Yes 5.8
## 1024 TikTok Yes 5.4
## 1025 Facebook No 6.9
## 1026 Instagram Yes 5.2
## 1027 YouTube No 6.6
## 1028 TikTok Yes 5.9
## 1029 LinkedIn No 7.4
## 1030 Instagram Yes 5.3
## 1031 Facebook No 6.7
## 1032 Snapchat Yes 5.7
## 1033 TikTok Yes 5.4
## 1034 LinkedIn No 7.2
## 1035 Instagram Yes 5.8
## 1036 TikTok Yes 5.5
## 1037 Facebook No 6.8
## 1038 Instagram Yes 5.1
## 1039 YouTube No 6.5
## 1040 TikTok Yes 5.8
## 1041 LinkedIn No 7.3
## 1042 Instagram Yes 5.4
## 1043 Facebook No 6.6
## 1044 Snapchat Yes 5.7
## 1045 TikTok Yes 5.3
## 1046 LinkedIn No 7.1
## 1047 Instagram Yes 5.9
## 1048 TikTok Yes 5.6
## 1049 Facebook No 6.7
## 1050 Instagram Yes 5.2
## 1051 YouTube No 6.4
## 1052 TikTok Yes 5.8
## 1053 LinkedIn No 7.2
## 1054 Instagram Yes 5.5
## 1055 Facebook No 6.5
## 1056 Snapchat Yes 5.6
## 1057 TikTok Yes 5.2
## 1058 LinkedIn No 7.0
## 1059 Instagram Yes 5.9
## 1060 TikTok Yes 5.7
## 1061 Facebook No 7.1
## 1062 Instagram Yes 5.6
## 1063 TikTok Yes 6.0
## 1064 Snapchat Yes 5.2
## 1065 LinkedIn No 7.4
## 1066 Instagram Yes 5.8
## 1067 YouTube No 6.5
## 1068 TikTok Yes 5.4
## 1069 LinkedIn No 7.2
## 1070 Instagram Yes 5.9
## 1071 Snapchat Yes 5.5
## 1072 Facebook No 6.8
## 1073 TikTok Yes 5.7
## 1074 Instagram Yes 5.3
## 1075 LinkedIn No 7.3
## 1076 Snapchat Yes 5.8
## 1077 TikTok Yes 5.4
## 1078 Facebook No 7.0
## 1079 YouTube Yes 5.9
## 1080 Instagram Yes 5.2
## 1081 LinkedIn No 7.1
## 1082 TikTok Yes 5.7
## 1083 Facebook No 6.6
## 1084 LinkedIn No 7.2
## 1085 Snapchat Yes 5.3
## 1086 Instagram Yes 5.8
## 1087 TikTok Yes 5.5
## 1088 LinkedIn No 7.3
## 1089 YouTube Yes 6.0
## 1090 Instagram Yes 5.2
## 1091 Facebook No 7.0
## 1092 TikTok Yes 5.8
## 1093 Snapchat No 6.5
## 1094 Instagram Yes 5.4
## 1095 LinkedIn No 7.4
## 1096 TikTok Yes 5.7
## 1097 Snapchat Yes 5.3
## 1098 LinkedIn No 7.1
## 1099 Instagram Yes 5.9
## 1100 TikTok Yes 5.5
## 1101 YouTube Yes 5.2
## 1102 LinkedIn No 7.3
## 1103 Facebook Yes 5.8
## 1104 Instagram Yes 5.4
## 1105 LinkedIn No 7.0
## 1106 TikTok Yes 5.7
## 1107 YouTube No 6.6
## 1108 Snapchat Yes 5.5
## 1109 LinkedIn No 7.2
## 1110 Instagram Yes 5.8
## 1111 Instagram Yes 6.2
## 1112 TikTok Yes 5.9
## 1113 Facebook No 7.1
## 1114 Instagram Yes 6.0
## 1115 TikTok Yes 6.3
## 1116 Instagram No 7.2
## 1117 Facebook Yes 5.8
## 1118 Instagram Yes 6.1
## 1119 TikTok No 7.3
## 1120 Instagram Yes 6.2
## 1121 Facebook Yes 5.9
## 1122 Instagram No 7.4
## 1123 TikTok Yes 6.3
## 1124 Instagram Yes 5.8
## 1125 Facebook No 7.5
## 1126 Instagram Yes 6.4
## 1127 TikTok Yes 5.7
## 1128 Instagram No 7.6
## 1129 Facebook Yes 6.5
## 1130 Instagram Yes 5.6
## 1131 TikTok No 7.7
## 1132 Instagram Yes 6.6
## 1133 Facebook Yes 5.5
## 1134 Instagram No 7.8
## 1135 TikTok Yes 6.7
## 1136 Instagram Yes 5.4
## 1137 Facebook No 7.9
## 1138 Instagram Yes 6.8
## 1139 TikTok Yes 5.3
## 1140 Instagram No 8.0
## 1141 Facebook Yes 6.9
## 1142 Instagram Yes 5.2
## 1143 TikTok No 8.1
## 1144 Instagram Yes 7.0
## 1145 Facebook Yes 5.1
## 1146 Instagram No 8.2
## 1147 TikTok Yes 7.1
## 1148 Instagram Yes 5.0
## 1149 Facebook No 8.3
## 1150 Instagram Yes 7.2
## 1151 TikTok Yes 4.9
## 1152 Instagram No 8.4
## 1153 Facebook Yes 7.3
## 1154 Instagram Yes 4.8
## 1155 TikTok No 8.5
## 1156 Instagram Yes 7.4
## 1157 Facebook Yes 4.7
## 1158 Instagram No 8.6
## 1159 TikTok Yes 7.5
## 1160 Instagram Yes 4.6
## 1161 Instagram Yes 6.1
## 1162 Facebook No 7.2
## 1163 TikTok Yes 5.9
## 1164 Instagram Yes 6.3
## 1165 Facebook No 7.0
## 1166 TikTok Yes 6.0
## 1167 Instagram Yes 6.4
## 1168 Facebook No 7.1
## 1169 TikTok Yes 5.8
## 1170 Instagram Yes 6.5
## 1171 Facebook No 7.3
## 1172 TikTok Yes 5.7
## 1173 Instagram Yes 6.6
## 1174 Facebook No 7.4
## 1175 TikTok Yes 5.6
## 1176 Instagram Yes 6.7
## 1177 Facebook No 7.5
## 1178 TikTok Yes 5.5
## 1179 Instagram Yes 6.8
## 1180 Facebook No 7.6
## 1181 TikTok Yes 5.4
## 1182 Instagram Yes 6.9
## 1183 Facebook No 7.7
## 1184 TikTok Yes 5.3
## 1185 Instagram Yes 7.0
## 1186 Facebook No 7.8
## 1187 TikTok Yes 5.2
## 1188 Instagram Yes 7.1
## 1189 Facebook No 7.9
## 1190 TikTok Yes 5.1
## 1191 Instagram Yes 7.2
## 1192 Facebook No 8.0
## 1193 TikTok Yes 5.0
## 1194 Instagram Yes 7.3
## 1195 Facebook No 8.1
## 1196 TikTok Yes 4.9
## 1197 Instagram Yes 7.4
## 1198 Facebook No 8.2
## 1199 TikTok Yes 4.8
## 1200 Instagram Yes 7.5
## 1201 Facebook No 8.3
## 1202 TikTok Yes 4.7
## 1203 Instagram Yes 7.6
## 1204 Facebook No 8.4
## 1205 TikTok Yes 4.6
## 1206 Instagram Yes 7.7
## 1207 Facebook No 8.5
## 1208 TikTok Yes 4.5
## 1209 Instagram Yes 7.8
## 1210 Facebook No 8.6
## 1211 TikTok Yes 4.4
## 1212 Instagram Yes 7.9
## 1213 Facebook No 8.7
## 1214 TikTok Yes 4.3
## 1215 Instagram Yes 8.0
## 1216 Facebook No 8.8
## 1217 TikTok Yes 4.2
## 1218 Instagram Yes 8.1
## 1219 Facebook No 8.9
## 1220 TikTok Yes 4.1
## 1221 Instagram Yes 6.0
## 1222 TikTok Yes 6.5
## 1223 Instagram No 7.5
## 1224 Facebook No 7.8
## 1225 LINE No 7.9
## 1226 Instagram Yes 6.8
## 1227 KakaoTalk Yes 6.5
## 1228 VKontakte No 7.2
## 1229 TikTok Yes 5.8
## 1230 Instagram Yes 6.7
## 1231 Facebook No 7.4
## 1232 Instagram No 7.9
## 1233 LINE No 8.0
## 1234 TikTok Yes 6.5
## 1235 KakaoTalk Yes 6.8
## 1236 VKontakte No 7.4
## 1237 Instagram Yes 5.9
## 1238 Facebook Yes 6.6
## 1239 Instagram No 7.3
## 1240 Facebook No 7.7
## 1241 LINE No 7.8
## 1242 Instagram Yes 6.7
## 1243 KakaoTalk Yes 6.6
## 1244 VKontakte No 7.3
## 1245 TikTok Yes 5.7
## 1246 Instagram Yes 6.4
## 1247 Facebook No 7.2
## 1248 Instagram No 7.8
## 1249 LINE No 8.1
## 1250 TikTok Yes 6.6
## 1251 KakaoTalk Yes 6.9
## 1252 VKontakte No 7.5
## 1253 Instagram Yes 5.8
## 1254 Facebook Yes 6.5
## 1255 Instagram No 7.4
## 1256 Facebook No 7.6
## 1257 LINE No 8.2
## 1258 Instagram Yes 6.8
## 1259 KakaoTalk Yes 6.7
## 1260 VKontakte No 7.6
## 1261 TikTok Yes 5.6
## 1262 Instagram Yes 6.3
## 1263 Facebook No 7.5
## 1264 Instagram No 7.7
## 1265 LINE No 8.3
## 1266 TikTok Yes 6.9
## 1267 KakaoTalk Yes 7.0
## 1268 VKontakte No 7.7
## 1269 Instagram Yes 5.7
## 1270 Facebook Yes 6.4
## 1271 Instagram No 7.3
## 1272 Facebook No 7.8
## 1273 LINE No 8.4
## 1274 Instagram Yes 6.7
## 1275 KakaoTalk Yes 7.1
## 1276 VKontakte No 7.8
## 1277 TikTok Yes 5.5
## 1278 Instagram Yes 6.5
## 1279 Facebook No 7.4
## 1280 Instagram No 7.9
## 1281 LINE No 8.5
## 1282 TikTok Yes 6.8
## 1283 KakaoTalk Yes 7.2
## 1284 VKontakte No 7.9
## 1285 Instagram Yes 5.4
## 1286 Facebook Yes 6.6
## 1287 Instagram No 7.5
## 1288 Facebook No 8.0
## 1289 LINE No 8.6
## 1290 Instagram Yes 6.9
## 1291 KakaoTalk Yes 7.3
## 1292 VKontakte No 8.0
## 1293 TikTok Yes 5.3
## 1294 Instagram Yes 6.7
## 1295 Facebook No 7.6
## 1296 Instagram No 8.1
## 1297 LINE No 8.7
## 1298 TikTok Yes 7.0
## 1299 KakaoTalk Yes 7.4
## 1300 VKontakte No 8.1
## 1301 Instagram Yes 5.2
## 1302 Facebook Yes 6.8
## 1303 Instagram No 7.7
## 1304 Facebook No 8.2
## 1305 LINE No 8.8
## 1306 Instagram Yes 7.1
## 1307 KakaoTalk Yes 7.5
## 1308 VKontakte No 8.2
## 1309 TikTok Yes 5.1
## 1310 Instagram Yes 6.9
## 1311 Facebook No 7.8
## 1312 Instagram No 8.3
## 1313 LINE No 8.9
## 1314 TikTok Yes 7.2
## 1315 KakaoTalk Yes 7.6
## 1316 VKontakte No 8.3
## 1317 Instagram Yes 5.0
## 1318 Facebook Yes 7.0
## 1319 Instagram No 7.9
## 1320 Facebook No 8.4
## 1321 Instagram Yes 6.8
## 1322 Facebook No 7.8
## 1323 Instagram Yes 7.0
## 1324 WhatsApp Yes 6.5
## 1325 Instagram No 7.9
## 1326 Instagram Yes 6.7
## 1327 TikTok Yes 5.5
## 1328 WhatsApp Yes 6.6
## 1329 Instagram No 7.5
## 1330 Instagram Yes 6.9
## 1331 TikTok Yes 6.7
## 1332 Facebook No 7.9
## 1333 Instagram Yes 7.1
## 1334 WhatsApp Yes 6.4
## 1335 Instagram No 8.0
## 1336 TikTok Yes 6.8
## 1337 Instagram Yes 5.4
## 1338 WhatsApp Yes 6.5
## 1339 Instagram No 7.6
## 1340 TikTok Yes 7.0
## 1341 Instagram Yes 6.9
## 1342 Facebook No 8.0
## 1343 TikTok Yes 7.2
## 1344 WhatsApp Yes 6.3
## 1345 Instagram No 8.1
## 1346 Instagram Yes 6.9
## 1347 TikTok Yes 5.3
## 1348 WhatsApp Yes 6.4
## 1349 Instagram No 7.7
## 1350 Instagram Yes 7.1
## 1351 TikTok Yes 7.0
## 1352 Facebook No 8.1
## 1353 Instagram Yes 7.3
## 1354 WhatsApp Yes 6.2
## 1355 Instagram No 8.2
## 1356 TikTok Yes 7.0
## 1357 Instagram Yes 5.2
## 1358 WhatsApp Yes 6.3
## 1359 Instagram No 7.8
## 1360 TikTok Yes 7.2
## 1361 Instagram Yes 7.1
## 1362 Facebook No 8.2
## 1363 TikTok Yes 7.4
## 1364 WhatsApp Yes 6.1
## 1365 Instagram No 8.3
## 1366 Instagram Yes 7.1
## 1367 TikTok Yes 5.1
## 1368 WhatsApp Yes 6.2
## 1369 Instagram No 7.9
## 1370 Instagram Yes 7.3
## 1371 TikTok Yes 7.2
## 1372 Facebook No 8.3
## 1373 Instagram Yes 7.5
## 1374 WhatsApp Yes 6.0
## 1375 Instagram No 8.4
## 1376 TikTok Yes 7.2
## 1377 Instagram Yes 5.0
## 1378 WhatsApp Yes 6.1
## 1379 Instagram No 8.0
## 1380 TikTok Yes 7.4
## 1381 Instagram Yes 7.3
## 1382 Facebook No 8.4
## 1383 TikTok Yes 7.6
## 1384 WhatsApp Yes 5.9
## 1385 Instagram No 8.5
## 1386 Instagram Yes 7.3
## 1387 TikTok Yes 4.9
## 1388 WhatsApp Yes 6.0
## 1389 Instagram No 8.1
## 1390 Instagram Yes 7.5
## 1391 TikTok Yes 7.4
## 1392 Facebook No 8.5
## 1393 Instagram Yes 7.7
## 1394 WhatsApp Yes 5.8
## 1395 Instagram No 8.6
## 1396 TikTok Yes 7.4
## 1397 Instagram Yes 4.8
## 1398 WhatsApp Yes 5.9
## 1399 Instagram No 8.2
## 1400 TikTok Yes 7.6
## 1401 Instagram Yes 7.5
## 1402 Facebook No 8.6
## 1403 TikTok Yes 7.8
## 1404 WhatsApp Yes 5.7
## 1405 Instagram No 8.7
## 1406 Instagram Yes 7.5
## 1407 TikTok Yes 4.7
## 1408 WhatsApp Yes 5.8
## 1409 Instagram No 8.3
## 1410 Instagram Yes 7.7
## 1411 TikTok Yes 7.6
## 1412 Facebook No 8.7
## 1413 Instagram Yes 7.9
## 1414 WhatsApp Yes 5.6
## 1415 Instagram No 8.8
## 1416 TikTok Yes 7.6
## 1417 Instagram Yes 4.6
## 1418 WhatsApp Yes 5.7
## 1419 Instagram No 8.4
## 1420 TikTok Yes 7.8
## 1421 Instagram Yes 7.7
## 1422 Facebook No 8.8
## 1423 TikTok Yes 8.0
## 1424 WhatsApp Yes 5.5
## 1425 Instagram No 8.9
## 1426 Instagram Yes 7.7
## 1427 TikTok Yes 4.5
## 1428 WhatsApp Yes 5.6
## 1429 Instagram No 8.5
## 1430 Instagram Yes 7.9
## 1431 TikTok Yes 7.8
## 1432 Facebook No 8.9
## 1433 Instagram Yes 8.1
## 1434 WhatsApp Yes 5.4
## 1435 Instagram No 9.0
## 1436 TikTok Yes 7.8
## 1437 Instagram Yes 4.4
## 1438 WhatsApp Yes 5.5
## 1439 Instagram No 8.6
## 1440 TikTok Yes 8.0
## 1441 Instagram Yes 7.9
## 1442 Facebook No 9.0
## 1443 TikTok Yes 8.2
## 1444 WhatsApp Yes 5.3
## 1445 Instagram No 9.1
## 1446 Instagram Yes 7.9
## 1447 TikTok Yes 4.3
## 1448 WhatsApp Yes 5.4
## 1449 Instagram No 8.7
## 1450 Instagram Yes 8.1
## 1451 TikTok Yes 8.0
## 1452 Facebook No 9.1
## 1453 Instagram Yes 8.3
## 1454 WhatsApp Yes 5.2
## 1455 Instagram No 9.2
## 1456 TikTok Yes 8.0
## 1457 Instagram Yes 4.2
## 1458 WhatsApp Yes 5.3
## 1459 Instagram No 8.8
## 1460 TikTok Yes 8.2
## 1461 Instagram Yes 8.1
## 1462 Facebook No 9.2
## 1463 TikTok Yes 8.4
## 1464 WhatsApp Yes 5.1
## 1465 Instagram No 9.3
## 1466 Instagram Yes 8.1
## 1467 TikTok Yes 4.1
## 1468 WhatsApp Yes 5.2
## 1469 Instagram No 8.9
## 1470 Instagram Yes 8.3
## 1471 TikTok Yes 8.2
## 1472 Facebook No 9.3
## 1473 Instagram Yes 8.5
## 1474 WhatsApp Yes 5.0
## 1475 Instagram No 9.4
## 1476 TikTok Yes 8.2
## 1477 Instagram Yes 4.0
## 1478 WhatsApp Yes 5.1
## 1479 Instagram No 9.0
## 1480 TikTok Yes 8.4
## 1481 Instagram Yes 8.3
## 1482 Facebook No 9.4
## 1483 TikTok Yes 8.6
## 1484 WhatsApp Yes 4.9
## 1485 Instagram No 9.5
## 1486 Instagram Yes 8.3
## 1487 TikTok Yes 3.9
## 1488 WhatsApp Yes 5.0
## 1489 Instagram No 9.1
## 1490 Instagram Yes 8.5
## 1491 TikTok Yes 8.4
## 1492 Facebook No 9.5
## 1493 Instagram Yes 8.7
## 1494 WhatsApp Yes 4.8
## 1495 Instagram No 9.6
## 1496 TikTok Yes 8.4
## 1497 Instagram Yes 3.8
## 1498 WhatsApp Yes 4.9
## 1499 Instagram No 9.2
## 1500 TikTok Yes 8.6
## 1501 WhatsApp Yes 6.3
## 1502 WeChat No 7.8
## 1503 Instagram No 8.2
## 1504 Instagram Yes 7.5
## 1505 TikTok Yes 7.0
## 1506 WhatsApp Yes 6.8
## 1507 Instagram Yes 6.5
## 1508 Facebook No 7.9
## 1509 WhatsApp Yes 6.0
## 1510 Instagram Yes 7.4
## 1511 Instagram Yes 6.4
## 1512 WeChat No 7.9
## 1513 TikTok No 8.3
## 1514 Instagram Yes 7.6
## 1515 TikTok Yes 6.9
## 1516 WhatsApp Yes 6.7
## 1517 Instagram Yes 6.4
## 1518 Facebook No 8.0
## 1519 WhatsApp Yes 5.9
## 1520 TikTok Yes 7.5
## 1521 WhatsApp Yes 6.5
## 1522 WeChat No 8.0
## 1523 Instagram No 8.4
## 1524 Facebook Yes 7.7
## 1525 TikTok Yes 6.8
## 1526 WhatsApp Yes 6.6
## 1527 Instagram Yes 6.3
## 1528 Facebook No 8.1
## 1529 WhatsApp Yes 5.8
## 1530 Instagram Yes 7.6
## 1531 TikTok Yes 6.6
## 1532 WeChat No 8.1
## 1533 Instagram No 8.5
## 1534 Facebook Yes 7.8
## 1535 TikTok Yes 6.7
## 1536 WhatsApp Yes 6.5
## 1537 Instagram Yes 6.2
## 1538 Facebook No 8.2
## 1539 WhatsApp Yes 5.7
## 1540 TikTok Yes 7.7
## 1541 WhatsApp Yes 6.7
## 1542 WeChat No 8.2
## 1543 Instagram No 8.6
## 1544 Instagram Yes 7.9
## 1545 TikTok Yes 6.6
## 1546 WhatsApp Yes 6.4
## 1547 Instagram Yes 6.1
## 1548 Facebook No 8.3
## 1549 WhatsApp Yes 5.6
## 1550 Instagram Yes 7.8
## 1551 TikTok Yes 6.8
## 1552 WeChat No 8.3
## 1553 Instagram No 8.7
## 1554 Facebook Yes 8.0
## 1555 TikTok Yes 6.5
## 1556 WhatsApp Yes 6.3
## 1557 Instagram Yes 6.0
## 1558 Facebook No 8.4
## 1559 WhatsApp Yes 5.5
## 1560 TikTok Yes 7.9
## 1561 WhatsApp Yes 6.9
## 1562 WeChat No 8.4
## 1563 Instagram No 8.8
## 1564 Instagram Yes 8.1
## 1565 TikTok Yes 6.4
## 1566 WhatsApp Yes 6.2
## 1567 Instagram Yes 5.9
## 1568 Facebook No 8.5
## 1569 WhatsApp Yes 5.4
## 1570 Instagram Yes 8.0
## 1571 Instagram Yes 7.2
## 1572 Twitter No 7.8
## 1573 TikTok Yes 6.8
## 1574 Facebook Yes 5.9
## 1575 Instagram No 7.5
## 1576 TikTok Yes 6.2
## 1577 Instagram Yes 6.7
## 1578 Facebook Yes 6.1
## 1579 Twitter No 7.4
## 1580 Instagram Yes 7.0
## 1581 TikTok Yes 6.4
## 1582 Facebook No 7.3
## 1583 Instagram Yes 6.0
## 1584 WeChat Yes 6.5
## 1585 Twitter No 7.6
## 1586 Facebook Yes 6.3
## 1587 Instagram No 7.7
## 1588 TikTok Yes 6.2
## 1589 Instagram No 7.4
## 1590 Twitter Yes 6.8
## 1591 Instagram Yes 5.8
## 1592 Facebook No 7.5
## 1593 TikTok Yes 6.1
## 1594 Instagram Yes 6.9
## 1595 Facebook Yes 6.3
## 1596 Instagram Yes 6.7
## 1597 TikTok No 7.3
## 1598 Facebook Yes 6.2
## 1599 Twitter No 7.1
## 1600 Instagram Yes 6.0
## 1601 WeChat Yes 6.8
## 1602 Twitter No 7.6
## 1603 Instagram Yes 6.4
## 1604 Facebook No 7.4
## 1605 TikTok Yes 6.3
## 1606 Instagram No 7.2
## 1607 Twitter Yes 6.6
## 1608 Facebook Yes 5.7
## 1609 Instagram No 7.4
## 1610 TikTok Yes 6.2
## 1611 Instagram Yes 6.9
## 1612 Facebook Yes 6.1
## 1613 Twitter No 7.3
## 1614 Instagram Yes 6.7
## 1615 TikTok Yes 6.4
## 1616 Facebook No 7.2
## 1617 Instagram Yes 5.9
## 1618 WeChat Yes 6.8
## 1619 Twitter No 7.5
## 1620 TikTok Yes 6.3
## 1621 Instagram No 7.4
## 1622 Facebook Yes 6.2
## 1623 Twitter No 7.3
## 1624 Instagram Yes 6.6
## 1625 TikTok Yes 5.8
## 1626 Facebook No 7.3
## 1627 Instagram Yes 6.1
## 1628 Twitter Yes 6.8
## 1629 Facebook Yes 6.2
## 1630 Instagram No 7.2
## 1631 TikTok Yes 6.7
## 1632 Facebook Yes 6.3
## 1633 Twitter No 7.1
## 1634 Instagram Yes 5.9
## 1635 WeChat Yes 6.7
## 1636 Twitter No 7.4
## 1637 TikTok Yes 6.4
## 1638 Instagram No 7.5
## 1639 Facebook Yes 6.2
## 1640 Twitter No 7.3
## 1641 Instagram Yes 6.5
## 1642 TikTok Yes 5.7
## 1643 Facebook No 7.2
## 1644 Instagram Yes 6.0
## 1645 Twitter Yes 6.8
## 1646 Facebook Yes 6.2
## 1647 Instagram No 7.1
## 1648 TikTok Yes 6.6
## 1649 Twitter Yes 6.3
## 1650 Facebook No 7.2
## 1651 Instagram Yes 5.9
## 1652 WeChat Yes 6.7
## 1653 Twitter No 7.5
## 1654 TikTok Yes 6.3
## 1655 Instagram No 7.4
## 1656 Facebook Yes 6.1
## 1657 Twitter No 7.3
## 1658 Instagram Yes 6.6
## 1659 TikTok Yes 5.8
## 1660 Facebook No 7.3
## 1661 Instagram Yes 6.0
## 1662 Twitter Yes 6.8
## 1663 TikTok Yes 6.2
## 1664 Facebook No 7.2
## 1665 Instagram Yes 6.7
## 1666 Twitter Yes 6.2
## 1667 TikTok No 7.1
## 1668 Instagram Yes 5.9
## 1669 WeChat Yes 6.7
## 1670 Twitter No 7.4
## 1671 Facebook Yes 6.4
## 1672 Instagram No 7.5
## 1673 TikTok Yes 6.2
## 1674 Twitter No 7.3
## 1675 Instagram Yes 6.5
## 1676 Facebook Yes 5.7
## 1677 TikTok No 7.2
## 1678 Instagram Yes 6.0
## 1679 Twitter Yes 6.8
## 1680 Facebook Yes 6.3
## 1681 Instagram No 7.2
## 1682 TikTok Yes 6.6
## 1683 Twitter Yes 6.4
## 1684 Facebook No 7.1
## 1685 Instagram Yes 6.0
## 1686 WeChat Yes 6.8
## 1687 Twitter No 7.5
## 1688 TikTok Yes 6.2
## 1689 Instagram No 7.4
## 1690 Facebook Yes 6.1
## 1691 Twitter No 7.3
## 1692 Instagram Yes 6.5
## 1693 TikTok Yes 5.8
## 1694 Facebook No 7.3
## 1695 Instagram Yes 6.1
## 1696 Twitter Yes 6.7
## 1697 TikTok Yes 6.2
## 1698 Facebook No 7.1
## 1699 Instagram Yes 6.6
## 1700 Twitter Yes 6.3
## 1701 TikTok No 7.2
## 1702 Instagram Yes 5.9
## 1703 WeChat Yes 6.7
## 1704 Twitter No 7.5
## 1705 Facebook Yes 6.3
## Mental_Health_Score Overall_Impact usage_group
## 1 6.8 Neutral Low Usage
## 2 7.6 Positive Low Usage
## 3 7.0 Neutral Low Usage
## 4 5.3 Negative High Usage
## 5 4.4 Negative High Usage
## 6 6.8 Neutral Low Usage
## 7 5.3 Negative High Usage
## 8 4.7 Negative High Usage
## 9 6.2 Neutral Low Usage
## 10 8.6 Positive Low Usage
## 11 6.8 Neutral Low Usage
## 12 5.5 Negative High Usage
## 13 8.5 Positive Low Usage
## 14 5.4 Negative High Usage
## 15 7.8 Positive Low Usage
## 16 6.3 Neutral High Usage
## 17 5.0 Negative High Usage
## 18 5.0 Negative High Usage
## 19 5.0 Negative High Usage
## 20 6.8 Neutral High Usage
## 21 7.1 Positive Low Usage
## 22 6.5 Neutral High Usage
## 23 8.5 Positive Low Usage
## 24 8.6 Positive Low Usage
## 25 5.1 Negative High Usage
## 26 5.7 Negative High Usage
## 27 8.2 Positive Low Usage
## 28 4.7 Negative High Usage
## 29 5.1 Negative High Usage
## 30 7.7 Positive Low Usage
## 31 5.7 Negative High Usage
## 32 8.1 Positive Low Usage
## 33 6.6 Neutral High Usage
## 34 4.0 Negative High Usage
## 35 4.9 Negative High Usage
## 36 4.2 Negative High Usage
## 37 5.0 Negative High Usage
## 38 6.6 Neutral Low Usage
## 39 6.3 Neutral High Usage
## 40 8.5 Positive Low Usage
## 41 4.3 Negative High Usage
## 42 4.2 Negative High Usage
## 43 4.5 Negative High Usage
## 44 5.7 Negative High Usage
## 45 4.2 Negative High Usage
## 46 6.7 Neutral Low Usage
## 47 5.9 Negative High Usage
## 48 6.4 Neutral High Usage
## 49 5.0 Negative High Usage
## 50 8.5 Positive Low Usage
## 51 4.7 Negative High Usage
## 52 4.9 Negative High Usage
## 53 4.6 Negative High Usage
## 54 4.7 Negative High Usage
## 55 8.8 Positive Low Usage
## 56 6.6 Neutral Low Usage
## 57 5.4 Negative High Usage
## 58 5.5 Negative High Usage
## 59 8.0 Positive Low Usage
## 60 7.6 Positive Low Usage
## 61 8.7 Positive Low Usage
## 62 5.5 Negative High Usage
## 63 8.1 Positive Low Usage
## 64 4.8 Negative High Usage
## 65 4.1 Negative High Usage
## 66 6.0 Negative High Usage
## 67 6.6 Neutral Low Usage
## 68 4.4 Negative High Usage
## 69 6.1 Neutral High Usage
## 70 7.7 Positive Low Usage
## 71 6.2 Neutral Low Usage
## 72 7.2 Positive Low Usage
## 73 4.6 Negative High Usage
## 74 4.1 Negative High Usage
## 75 6.9 Neutral High Usage
## 76 8.4 Positive Low Usage
## 77 5.5 Negative High Usage
## 78 5.3 Negative High Usage
## 79 8.6 Positive Low Usage
## 80 5.3 Negative High Usage
## 81 4.9 Negative High Usage
## 82 6.6 Neutral Low Usage
## 83 7.0 Neutral High Usage
## 84 4.7 Negative High Usage
## 85 5.3 Negative High Usage
## 86 4.1 Negative High Usage
## 87 8.6 Positive Low Usage
## 88 5.5 Negative High Usage
## 89 5.1 Negative High Usage
## 90 5.2 Negative High Usage
## 91 5.8 Negative High Usage
## 92 7.2 Positive Low Usage
## 93 8.7 Positive Low Usage
## 94 8.3 Positive Low Usage
## 95 7.5 Positive Low Usage
## 96 5.4 Negative High Usage
## 97 6.8 Neutral Low Usage
## 98 6.5 Neutral Low Usage
## 99 6.7 Neutral High Usage
## 100 5.7 Negative High Usage
## 101 7.9 Positive Low Usage
## 102 8.7 Positive Low Usage
## 103 4.9 Negative High Usage
## 104 7.0 Positive Low Usage
## 105 8.4 Positive Low Usage
## 106 7.0 Neutral Low Usage
## 107 6.1 Neutral Low Usage
## 108 7.6 Positive Low Usage
## 109 6.8 Neutral Low Usage
## 110 4.3 Negative High Usage
## 111 6.0 Neutral Low Usage
## 112 4.9 Negative High Usage
## 113 8.8 Positive Low Usage
## 114 8.8 Positive Low Usage
## 115 5.9 Negative High Usage
## 116 6.5 Neutral Low Usage
## 117 4.6 Negative High Usage
## 118 7.8 Positive Low Usage
## 119 5.9 Negative High Usage
## 120 4.1 Negative High Usage
## 121 6.9 Neutral High Usage
## 122 7.3 Positive Low Usage
## 123 8.5 Positive Low Usage
## 124 6.6 Neutral Low Usage
## 125 5.1 Negative High Usage
## 126 9.0 Positive Low Usage
## 127 4.0 Negative High Usage
## 128 4.2 Negative High Usage
## 129 6.1 Neutral High Usage
## 130 7.5 Positive Low Usage
## 131 4.0 Negative High Usage
## 132 6.9 Neutral Low Usage
## 133 8.5 Positive Low Usage
## 134 6.7 Neutral High Usage
## 135 7.1 Positive Low Usage
## 136 8.7 Positive Low Usage
## 137 8.6 Positive Low Usage
## 138 6.5 Neutral Low Usage
## 139 6.1 Neutral Low Usage
## 140 5.4 Negative High Usage
## 141 7.5 Positive Low Usage
## 142 4.1 Negative High Usage
## 143 6.4 Neutral High Usage
## 144 5.2 Negative High Usage
## 145 5.6 Negative High Usage
## 146 6.1 Neutral High Usage
## 147 8.1 Positive Low Usage
## 148 4.3 Negative High Usage
## 149 6.6 Neutral Low Usage
## 150 5.4 Negative High Usage
## 151 8.0 Positive Low Usage
## 152 6.5 Neutral Low Usage
## 153 4.7 Negative High Usage
## 154 6.9 Neutral Low Usage
## 155 4.6 Negative High Usage
## 156 5.0 Negative High Usage
## 157 6.7 Neutral Low Usage
## 158 5.7 Negative High Usage
## 159 8.1 Positive Low Usage
## 160 8.6 Positive Low Usage
## 161 5.9 Negative High Usage
## 162 7.6 Positive Low Usage
## 163 6.6 Neutral High Usage
## 164 6.3 Neutral Low Usage
## 165 7.8 Positive Low Usage
## 166 4.8 Negative High Usage
## 167 5.6 Negative High Usage
## 168 7.5 Positive Low Usage
## 169 6.2 Neutral Low Usage
## 170 6.2 Neutral High Usage
## 171 8.8 Positive Low Usage
## 172 8.6 Positive Low Usage
## 173 7.5 Positive Low Usage
## 174 6.5 Neutral High Usage
## 175 5.1 Negative High Usage
## 176 7.9 Positive Low Usage
## 177 5.4 Negative High Usage
## 178 8.6 Positive Low Usage
## 179 8.2 Positive Low Usage
## 180 8.5 Positive Low Usage
## 181 6.9 Neutral High Usage
## 182 6.2 Neutral High Usage
## 183 6.3 Neutral Low Usage
## 184 8.5 Positive Low Usage
## 185 4.7 Negative High Usage
## 186 8.2 Positive Low Usage
## 187 4.4 Negative High Usage
## 188 5.2 Negative High Usage
## 189 4.2 Negative High Usage
## 190 7.1 Positive Low Usage
## 191 7.6 Positive Low Usage
## 192 5.5 Negative High Usage
## 193 7.4 Positive Low Usage
## 194 7.6 Positive Low Usage
## 195 7.6 Positive Low Usage
## 196 5.0 Negative High Usage
## 197 7.3 Positive Low Usage
## 198 6.4 Neutral High Usage
## 199 5.7 Negative High Usage
## 200 6.3 Neutral Low Usage
## 201 5.9 Negative High Usage
## 202 7.8 Positive Low Usage
## 203 8.5 Positive Low Usage
## 204 5.0 Negative High Usage
## 205 5.3 Negative High Usage
## 206 4.1 Negative High Usage
## 207 8.3 Positive Low Usage
## 208 8.2 Positive Low Usage
## 209 8.9 Positive Low Usage
## 210 6.1 Neutral High Usage
## 211 5.3 Negative High Usage
## 212 6.2 Neutral Low Usage
## 213 6.4 Neutral High Usage
## 214 5.4 Negative High Usage
## 215 6.0 Negative High Usage
## 216 6.7 Neutral High Usage
## 217 8.9 Positive Low Usage
## 218 4.7 Negative High Usage
## 219 5.9 Negative High Usage
## 220 4.8 Negative High Usage
## 221 6.9 Neutral High Usage
## 222 6.6 Neutral High Usage
## 223 6.2 Neutral Low Usage
## 224 4.2 Negative High Usage
## 225 4.6 Negative High Usage
## 226 5.8 Negative High Usage
## 227 4.5 Negative High Usage
## 228 7.9 Positive Low Usage
## 229 5.3 Negative High Usage
## 230 7.3 Positive Low Usage
## 231 7.2 Positive Low Usage
## 232 8.2 Positive Low Usage
## 233 6.8 Neutral Low Usage
## 234 6.3 Neutral Low Usage
## 235 6.1 Neutral Low Usage
## 236 4.1 Negative High Usage
## 237 8.5 Positive Low Usage
## 238 4.0 Negative High Usage
## 239 4.7 Negative High Usage
## 240 6.2 Neutral Low Usage
## 241 7.9 Positive Low Usage
## 242 6.0 Neutral Low Usage
## 243 5.0 Negative High Usage
## 244 6.0 Neutral Low Usage
## 245 8.0 Positive Low Usage
## 246 6.4 Neutral High Usage
## 247 6.5 Neutral High Usage
## 248 7.7 Positive Low Usage
## 249 6.6 Neutral Low Usage
## 250 5.1 Negative High Usage
## 251 6.5 Neutral High Usage
## 252 6.3 Neutral High Usage
## 253 6.5 Neutral High Usage
## 254 7.4 Positive Low Usage
## 255 7.6 Positive Low Usage
## 256 7.2 Positive Low Usage
## 257 7.0 Neutral Low Usage
## 258 5.6 Negative High Usage
## 259 4.9 Negative High Usage
## 260 7.8 Positive Low Usage
## 261 8.1 Positive Low Usage
## 262 6.2 Neutral High Usage
## 263 6.6 Neutral Low Usage
## 264 4.1 Negative High Usage
## 265 6.0 Neutral Low Usage
## 266 4.8 Negative High Usage
## 267 6.1 Neutral High Usage
## 268 5.5 Negative High Usage
## 269 6.0 Negative High Usage
## 270 4.8 Negative High Usage
## 271 6.8 Neutral High Usage
## 272 4.2 Negative High Usage
## 273 6.1 Neutral High Usage
## 274 6.0 Negative High Usage
## 275 5.2 Negative High Usage
## 276 4.5 Negative High Usage
## 277 6.0 Neutral Low Usage
## 278 6.1 Neutral Low Usage
## 279 5.1 Negative High Usage
## 280 8.3 Positive Low Usage
## 281 4.1 Negative High Usage
## 282 4.2 Negative High Usage
## 283 4.9 Negative High Usage
## 284 8.3 Positive Low Usage
## 285 5.9 Negative High Usage
## 286 5.7 Negative High Usage
## 287 7.1 Positive Low Usage
## 288 5.9 Negative High Usage
## 289 6.7 Neutral High Usage
## 290 4.4 Negative High Usage
## 291 5.2 Negative High Usage
## 292 5.3 Negative High Usage
## 293 5.8 Negative High Usage
## 294 4.2 Negative High Usage
## 295 6.0 Neutral High Usage
## 296 4.9 Negative High Usage
## 297 4.1 Negative High Usage
## 298 8.9 Positive Low Usage
## 299 4.3 Negative High Usage
## 300 4.3 Negative High Usage
## 301 5.3 Negative High Usage
## 302 6.2 Neutral Low Usage
## 303 8.0 Positive Low Usage
## 304 4.7 Negative High Usage
## 305 8.0 Positive Low Usage
## 306 6.8 Neutral Low Usage
## 307 5.3 Negative High Usage
## 308 7.4 Positive Low Usage
## 309 6.9 Neutral High Usage
## 310 4.3 Negative High Usage
## 311 4.9 Negative High Usage
## 312 7.5 Positive Low Usage
## 313 4.4 Negative High Usage
## 314 5.3 Negative High Usage
## 315 4.6 Negative High Usage
## 316 5.2 Negative High Usage
## 317 4.8 Negative High Usage
## 318 5.6 Negative High Usage
## 319 8.4 Positive Low Usage
## 320 4.3 Negative High Usage
## 321 6.1 Neutral Low Usage
## 322 4.0 Negative High Usage
## 323 4.1 Negative High Usage
## 324 4.8 Negative High Usage
## 325 5.6 Negative High Usage
## 326 8.1 Positive Low Usage
## 327 5.7 Negative High Usage
## 328 8.4 Positive Low Usage
## 329 8.0 Positive Low Usage
## 330 4.5 Negative High Usage
## 331 8.1 Positive Low Usage
## 332 4.2 Negative High Usage
## 333 4.7 Negative High Usage
## 334 6.2 Neutral Low Usage
## 335 4.9 Negative High Usage
## 336 4.8 Negative High Usage
## 337 5.6 Negative High Usage
## 338 6.1 Neutral Low Usage
## 339 7.5 Positive Low Usage
## 340 4.2 Negative High Usage
## 341 8.8 Positive Low Usage
## 342 5.6 Negative High Usage
## 343 7.3 Positive Low Usage
## 344 6.9 Neutral Low Usage
## 345 4.2 Negative High Usage
## 346 7.2 Positive Low Usage
## 347 5.2 Negative High Usage
## 348 6.8 Neutral Low Usage
## 349 6.6 Neutral Low Usage
## 350 4.3 Negative High Usage
## 351 6.4 Neutral Low Usage
## 352 8.8 Positive Low Usage
## 353 5.3 Negative High Usage
## 354 7.3 Positive Low Usage
## 355 4.5 Negative High Usage
## 356 4.1 Negative High Usage
## 357 4.5 Negative High Usage
## 358 4.0 Negative High Usage
## 359 4.5 Negative High Usage
## 360 6.8 Neutral Low Usage
## 361 8.9 Positive Low Usage
## 362 7.0 Neutral High Usage
## 363 6.4 Neutral Low Usage
## 364 7.4 Positive Low Usage
## 365 8.4 Positive Low Usage
## 366 6.5 Neutral High Usage
## 367 6.0 Neutral High Usage
## 368 7.5 Positive Low Usage
## 369 6.7 Neutral Low Usage
## 370 8.6 Positive Low Usage
## 371 6.1 Neutral Low Usage
## 372 4.8 Negative High Usage
## 373 6.2 Neutral Low Usage
## 374 7.7 Positive Low Usage
## 375 6.0 Negative High Usage
## 376 6.4 Neutral Low Usage
## 377 8.0 Positive Low Usage
## 378 5.7 Negative High Usage
## 379 5.0 Negative High Usage
## 380 8.5 Positive Low Usage
## 381 6.8 Neutral High Usage
## 382 6.3 Neutral High Usage
## 383 7.2 Positive Low Usage
## 384 4.7 Negative High Usage
## 385 5.6 Negative High Usage
## 386 4.5 Negative High Usage
## 387 5.4 Negative High Usage
## 388 8.6 Positive Low Usage
## 389 5.4 Negative High Usage
## 390 6.4 Neutral Low Usage
## 391 5.3 Negative High Usage
## 392 4.5 Negative High Usage
## 393 8.4 Positive Low Usage
## 394 4.5 Negative High Usage
## 395 8.6 Positive Low Usage
## 396 5.2 Negative High Usage
## 397 7.6 Positive Low Usage
## 398 6.3 Neutral Low Usage
## 399 4.1 Negative High Usage
## 400 6.6 Neutral Low Usage
## 401 8.9 Positive Low Usage
## 402 9.0 Positive Low Usage
## 403 7.3 Positive Low Usage
## 404 5.5 Negative High Usage
## 405 6.5 Neutral High Usage
## 406 8.4 Positive Low Usage
## 407 5.8 Negative High Usage
## 408 7.6 Positive Low Usage
## 409 4.3 Negative High Usage
## 410 7.9 Positive Low Usage
## 411 4.5 Negative High Usage
## 412 8.2 Positive Low Usage
## 413 6.5 Neutral High Usage
## 414 6.0 Negative High Usage
## 415 5.5 Negative High Usage
## 416 4.2 Negative High Usage
## 417 6.6 Neutral High Usage
## 418 7.5 Positive Low Usage
## 419 4.9 Negative High Usage
## 420 4.8 Negative High Usage
## 421 6.5 Neutral Low Usage
## 422 5.7 Negative High Usage
## 423 4.0 Negative High Usage
## 424 4.2 Negative High Usage
## 425 6.4 Neutral High Usage
## 426 6.5 Neutral Low Usage
## 427 4.9 Negative High Usage
## 428 4.8 Negative High Usage
## 429 5.0 Negative High Usage
## 430 4.6 Negative High Usage
## 431 5.4 Negative High Usage
## 432 4.0 Negative High Usage
## 433 6.6 Neutral High Usage
## 434 6.7 Neutral Low Usage
## 435 5.1 Negative High Usage
## 436 4.3 Negative High Usage
## 437 6.8 Neutral Low Usage
## 438 6.5 Neutral Low Usage
## 439 6.5 Neutral Low Usage
## 440 5.6 Negative High Usage
## 441 5.8 Negative High Usage
## 442 5.0 Negative High Usage
## 443 5.0 Negative High Usage
## 444 8.2 Positive Low Usage
## 445 4.3 Negative High Usage
## 446 5.9 Negative High Usage
## 447 8.9 Positive Low Usage
## 448 8.7 Positive Low Usage
## 449 8.2 Positive Low Usage
## 450 4.5 Negative High Usage
## 451 7.6 Positive Low Usage
## 452 7.9 Positive Low Usage
## 453 4.1 Negative High Usage
## 454 7.6 Positive Low Usage
## 455 7.3 Positive Low Usage
## 456 5.4 Negative High Usage
## 457 8.9 Positive Low Usage
## 458 5.4 Negative High Usage
## 459 7.0 Positive Low Usage
## 460 6.4 Neutral High Usage
## 461 5.8 Negative High Usage
## 462 6.3 Neutral Low Usage
## 463 6.8 Neutral High Usage
## 464 5.7 Negative High Usage
## 465 4.1 Negative High Usage
## 466 4.9 Negative High Usage
## 467 4.7 Negative High Usage
## 468 5.4 Negative High Usage
## 469 8.8 Positive Low Usage
## 470 5.8 Negative High Usage
## 471 4.5 Negative High Usage
## 472 4.0 Negative High Usage
## 473 5.2 Negative High Usage
## 474 7.2 Positive Low Usage
## 475 8.6 Positive Low Usage
## 476 7.1 Positive Low Usage
## 477 6.6 Neutral High Usage
## 478 7.9 Positive Low Usage
## 479 4.1 Negative High Usage
## 480 6.7 Neutral Low Usage
## 481 4.3 Negative High Usage
## 482 5.1 Negative High Usage
## 483 5.4 Negative High Usage
## 484 6.4 Neutral Low Usage
## 485 4.6 Negative High Usage
## 486 6.0 Negative High Usage
## 487 7.5 Positive Low Usage
## 488 6.0 Neutral Low Usage
## 489 6.4 Neutral High Usage
## 490 5.0 Negative High Usage
## 491 4.1 Negative High Usage
## 492 6.6 Neutral Low Usage
## 493 9.0 Positive Low Usage
## 494 6.3 Neutral High Usage
## 495 7.5 Positive Low Usage
## 496 4.6 Negative High Usage
## 497 6.9 Neutral Low Usage
## 498 7.1 Positive Low Usage
## 499 6.9 Neutral High Usage
## 500 6.5 Neutral High Usage
## 501 4.1 Negative High Usage
## 502 4.7 Negative High Usage
## 503 5.6 Negative High Usage
## 504 4.1 Negative High Usage
## 505 7.8 Positive Low Usage
## 506 8.5 Positive Low Usage
## 507 6.3 Neutral Low Usage
## 508 8.1 Positive Low Usage
## 509 5.0 Negative High Usage
## 510 8.3 Positive Low Usage
## 511 6.2 Neutral Low Usage
## 512 6.4 Neutral High Usage
## 513 6.0 Negative High Usage
## 514 6.9 Neutral Low Usage
## 515 5.5 Negative High Usage
## 516 4.6 Negative High Usage
## 517 6.9 Neutral Low Usage
## 518 4.8 Negative High Usage
## 519 6.2 Neutral High Usage
## 520 6.1 Neutral High Usage
## 521 6.9 Neutral Low Usage
## 522 6.3 Neutral High Usage
## 523 5.1 Negative High Usage
## 524 4.9 Negative High Usage
## 525 5.6 Negative High Usage
## 526 7.0 Neutral Low Usage
## 527 5.1 Negative High Usage
## 528 7.0 Positive Low Usage
## 529 5.5 Negative High Usage
## 530 6.2 Neutral Low Usage
## 531 4.1 Negative High Usage
## 532 6.0 Negative High Usage
## 533 4.8 Negative High Usage
## 534 6.3 Neutral Low Usage
## 535 8.5 Positive Low Usage
## 536 4.9 Negative High Usage
## 537 5.0 Negative High Usage
## 538 5.0 Negative High Usage
## 539 6.9 Neutral Low Usage
## 540 6.8 Neutral High Usage
## 541 6.8 Neutral Low Usage
## 542 8.9 Positive Low Usage
## 543 5.1 Negative High Usage
## 544 8.9 Positive Low Usage
## 545 5.1 Negative High Usage
## 546 5.9 Negative High Usage
## 547 4.4 Negative High Usage
## 548 7.2 Positive Low Usage
## 549 5.0 Negative High Usage
## 550 8.5 Positive Low Usage
## 551 5.1 Negative High Usage
## 552 6.3 Neutral High Usage
## 553 6.6 Neutral Low Usage
## 554 8.9 Positive Low Usage
## 555 7.8 Positive Low Usage
## 556 4.3 Negative High Usage
## 557 4.2 Negative High Usage
## 558 6.8 Neutral Low Usage
## 559 6.0 Negative High Usage
## 560 6.7 Neutral Low Usage
## 561 6.1 Neutral Low Usage
## 562 8.5 Positive Low Usage
## 563 5.4 Negative High Usage
## 564 5.2 Negative High Usage
## 565 8.6 Positive Low Usage
## 566 4.4 Negative High Usage
## 567 8.3 Positive Low Usage
## 568 8.5 Positive Low Usage
## 569 5.4 Negative High Usage
## 570 5.9 Negative High Usage
## 571 6.7 Neutral Low Usage
## 572 5.9 Negative High Usage
## 573 7.4 Positive Low Usage
## 574 6.5 Neutral High Usage
## 575 5.9 Negative High Usage
## 576 8.6 Positive Low Usage
## 577 6.4 Neutral High Usage
## 578 6.9 Neutral High Usage
## 579 4.9 Negative High Usage
## 580 4.1 Negative High Usage
## 581 6.5 Neutral Low Usage
## 582 4.4 Negative High Usage
## 583 8.3 Positive Low Usage
## 584 4.8 Negative High Usage
## 585 6.9 Neutral High Usage
## 586 7.1 Positive Low Usage
## 587 6.7 Neutral Low Usage
## 588 8.5 Positive Low Usage
## 589 7.9 Positive Low Usage
## 590 8.7 Positive Low Usage
## 591 6.0 Neutral Low Usage
## 592 4.4 Negative High Usage
## 593 4.6 Negative High Usage
## 594 5.7 Negative High Usage
## 595 6.3 Neutral Low Usage
## 596 7.5 Positive Low Usage
## 597 4.7 Negative High Usage
## 598 4.9 Negative High Usage
## 599 5.0 Negative High Usage
## 600 4.1 Negative High Usage
## 601 7.3 Positive Low Usage
## 602 4.6 Negative High Usage
## 603 7.6 Positive Low Usage
## 604 5.3 Negative High Usage
## 605 6.4 Neutral Low Usage
## 606 4.0 Negative High Usage
## 607 6.3 Neutral High Usage
## 608 5.8 Negative High Usage
## 609 5.7 Negative High Usage
## 610 8.0 Positive Low Usage
## 611 7.4 Positive Low Usage
## 612 4.5 Negative High Usage
## 613 5.2 Negative High Usage
## 614 6.7 Neutral Low Usage
## 615 4.3 Negative High Usage
## 616 4.9 Negative High Usage
## 617 4.8 Negative High Usage
## 618 6.6 Neutral High Usage
## 619 7.1 Positive Low Usage
## 620 4.1 Negative High Usage
## 621 6.4 Neutral High Usage
## 622 7.7 Positive Low Usage
## 623 7.4 Positive Low Usage
## 624 6.6 Neutral High Usage
## 625 6.0 Negative High Usage
## 626 4.7 Negative High Usage
## 627 4.4 Negative High Usage
## 628 8.2 Positive Low Usage
## 629 7.4 Positive Low Usage
## 630 4.2 Negative High Usage
## 631 5.3 Negative High Usage
## 632 6.5 Neutral Low Usage
## 633 8.4 Positive Low Usage
## 634 7.7 Positive Low Usage
## 635 7.9 Positive Low Usage
## 636 7.3 Positive Low Usage
## 637 4.2 Negative High Usage
## 638 4.3 Negative High Usage
## 639 6.3 Neutral Low Usage
## 640 6.9 Neutral Low Usage
## 641 5.7 Negative High Usage
## 642 4.6 Negative High Usage
## 643 4.0 Negative High Usage
## 644 6.8 Neutral Low Usage
## 645 5.6 Negative High Usage
## 646 5.7 Negative High Usage
## 647 6.5 Neutral Low Usage
## 648 5.2 Negative High Usage
## 649 7.0 Neutral High Usage
## 650 5.5 Negative High Usage
## 651 7.0 Positive Low Usage
## 652 6.3 Neutral Low Usage
## 653 4.4 Negative High Usage
## 654 7.0 Positive Low Usage
## 655 6.9 Neutral Low Usage
## 656 7.0 Positive Low Usage
## 657 4.1 Negative High Usage
## 658 5.2 Negative High Usage
## 659 8.8 Positive Low Usage
## 660 5.8 Negative High Usage
## 661 4.9 Negative High Usage
## 662 7.7 Positive Low Usage
## 663 5.1 Negative High Usage
## 664 4.8 Negative High Usage
## 665 8.4 Positive Low Usage
## 666 4.9 Negative High Usage
## 667 5.6 Negative High Usage
## 668 4.1 Negative High Usage
## 669 6.3 Neutral Low Usage
## 670 4.2 Negative High Usage
## 671 5.7 Negative High Usage
## 672 5.3 Negative High Usage
## 673 7.0 Neutral High Usage
## 674 6.2 Neutral Low Usage
## 675 5.7 Negative High Usage
## 676 5.6 Negative High Usage
## 677 8.2 Positive Low Usage
## 678 5.9 Negative High Usage
## 679 5.4 Negative High Usage
## 680 6.7 Neutral Low Usage
## 681 5.0 Negative High Usage
## 682 7.4 Positive Low Usage
## 683 6.5 Neutral High Usage
## 684 8.8 Positive Low Usage
## 685 8.4 Positive Low Usage
## 686 8.3 Positive Low Usage
## 687 6.8 Neutral High Usage
## 688 6.8 Neutral High Usage
## 689 4.5 Negative High Usage
## 690 8.2 Positive Low Usage
## 691 6.5 Neutral High Usage
## 692 7.8 Positive Low Usage
## 693 5.8 Negative High Usage
## 694 7.2 Positive Low Usage
## 695 7.4 Positive Low Usage
## 696 7.9 Positive Low Usage
## 697 5.5 Negative High Usage
## 698 7.0 Neutral Low Usage
## 699 6.7 Neutral Low Usage
## 700 5.9 Negative High Usage
## 701 5.4 Negative High Usage
## 702 6.1 Neutral High Usage
## 703 4.3 Negative High Usage
## 704 5.9 Negative High Usage
## 705 8.3 Positive Low Usage
## 706 6.8 Neutral Low Usage
## 707 4.6 Negative High Usage
## 708 5.1 Negative High Usage
## 709 6.9 Neutral Low Usage
## 710 8.7 Positive Low Usage
## 711 6.8 Neutral High Usage
## 712 4.2 Negative High Usage
## 713 8.5 Positive Low Usage
## 714 6.1 Neutral High Usage
## 715 7.0 Neutral Low Usage
## 716 7.1 Positive Low Usage
## 717 8.0 Positive Low Usage
## 718 6.0 Neutral High Usage
## 719 9.0 Positive Low Usage
## 720 6.2 Neutral Low Usage
## 721 5.3 Negative High Usage
## 722 4.7 Negative High Usage
## 723 4.3 Negative High Usage
## 724 6.2 Neutral High Usage
## 725 4.1 Negative High Usage
## 726 7.5 Positive Low Usage
## 727 6.3 Neutral Low Usage
## 728 4.8 Negative High Usage
## 729 5.7 Negative High Usage
## 730 5.1 Negative High Usage
## 731 6.6 Neutral High Usage
## 732 5.2 Negative High Usage
## 733 8.9 Positive Low Usage
## 734 7.4 Positive Low Usage
## 735 6.8 Neutral Low Usage
## 736 5.1 Negative High Usage
## 737 4.1 Negative High Usage
## 738 6.6 Neutral High Usage
## 739 5.6 Negative High Usage
## 740 4.5 Negative High Usage
## 741 5.0 Negative High Usage
## 742 6.5 Neutral Low Usage
## 743 5.8 Negative High Usage
## 744 6.3 Neutral Low Usage
## 745 6.1 Neutral Low Usage
## 746 7.3 Positive Low Usage
## 747 8.0 Positive Low Usage
## 748 5.8 Negative High Usage
## 749 4.5 Negative High Usage
## 750 9.0 Positive Low Usage
## 751 5.4 Negative High Usage
## 752 8.0 Positive Low Usage
## 753 5.4 Negative High Usage
## 754 6.6 Neutral Low Usage
## 755 7.2 Positive Low Usage
## 756 9.0 Positive Low Usage
## 757 5.1 Negative High Usage
## 758 7.8 Positive Low Usage
## 759 4.3 Negative High Usage
## 760 8.7 Positive Low Usage
## 761 4.7 Negative High Usage
## 762 5.5 Negative High Usage
## 763 6.1 Neutral Low Usage
## 764 7.8 Positive Low Usage
## 765 5.1 Negative High Usage
## 766 8.4 Positive Low Usage
## 767 5.5 Negative High Usage
## 768 4.3 Negative High Usage
## 769 6.1 Neutral Low Usage
## 770 5.0 Negative High Usage
## 771 7.9 Positive Low Usage
## 772 7.6 Positive Low Usage
## 773 7.1 Positive Low Usage
## 774 6.8 Neutral High Usage
## 775 5.8 Negative High Usage
## 776 5.6 Negative High Usage
## 777 6.0 Negative High Usage
## 778 5.6 Negative High Usage
## 779 4.4 Negative High Usage
## 780 4.8 Negative High Usage
## 781 7.4 Positive Low Usage
## 782 5.6 Negative High Usage
## 783 6.5 Neutral Low Usage
## 784 4.8 Negative High Usage
## 785 8.1 Positive Low Usage
## 786 4.7 Negative High Usage
## 787 6.4 Neutral High Usage
## 788 4.6 Negative High Usage
## 789 7.1 Positive Low Usage
## 790 9.0 Positive Low Usage
## 791 4.1 Negative High Usage
## 792 4.2 Negative High Usage
## 793 5.5 Negative High Usage
## 794 6.5 Neutral Low Usage
## 795 4.2 Negative High Usage
## 796 6.7 Neutral Low Usage
## 797 6.9 Neutral Low Usage
## 798 4.5 Negative High Usage
## 799 5.6 Negative High Usage
## 800 8.9 Positive Low Usage
## 801 4.9 Negative High Usage
## 802 4.6 Negative High Usage
## 803 5.8 Negative High Usage
## 804 5.1 Negative High Usage
## 805 4.6 Negative High Usage
## 806 4.0 Negative High Usage
## 807 5.5 Negative High Usage
## 808 4.6 Negative High Usage
## 809 4.4 Negative High Usage
## 810 4.3 Negative High Usage
## 811 5.4 Negative High Usage
## 812 5.9 Negative High Usage
## 813 4.3 Negative High Usage
## 814 4.5 Negative High Usage
## 815 4.4 Negative High Usage
## 816 8.2 Positive Low Usage
## 817 4.1 Negative High Usage
## 818 6.6 Neutral Low Usage
## 819 4.5 Negative High Usage
## 820 4.7 Negative High Usage
## 821 5.0 Negative High Usage
## 822 5.8 Negative High Usage
## 823 6.6 Neutral Low Usage
## 824 8.9 Positive Low Usage
## 825 6.0 Negative High Usage
## 826 4.4 Negative High Usage
## 827 7.1 Positive Low Usage
## 828 8.5 Positive Low Usage
## 829 8.6 Positive Low Usage
## 830 8.1 Positive Low Usage
## 831 4.4 Negative High Usage
## 832 5.2 Negative High Usage
## 833 6.0 Negative High Usage
## 834 6.9 Neutral High Usage
## 835 5.9 Negative High Usage
## 836 6.4 Neutral Low Usage
## 837 5.6 Negative High Usage
## 838 7.7 Positive Low Usage
## 839 6.4 Neutral High Usage
## 840 9.0 Positive Low Usage
## 841 7.3 Positive Low Usage
## 842 5.4 Negative High Usage
## 843 4.8 Negative High Usage
## 844 5.7 Negative High Usage
## 845 5.9 Negative High Usage
## 846 4.5 Negative High Usage
## 847 5.8 Negative High Usage
## 848 6.2 Neutral High Usage
## 849 6.0 Neutral High Usage
## 850 5.4 Negative High Usage
## 851 6.2 Neutral Low Usage
## 852 8.3 Positive Low Usage
## 853 5.8 Negative High Usage
## 854 4.2 Negative High Usage
## 855 8.3 Positive Low Usage
## 856 4.8 Negative High Usage
## 857 5.6 Negative High Usage
## 858 6.8 Neutral Low Usage
## 859 6.1 Neutral Low Usage
## 860 5.9 Negative High Usage
## 861 5.9 Negative High Usage
## 862 8.3 Positive Low Usage
## 863 6.5 Neutral Low Usage
## 864 6.5 Neutral Low Usage
## 865 8.8 Positive Low Usage
## 866 8.0 Positive Low Usage
## 867 5.8 Negative High Usage
## 868 6.5 Neutral Low Usage
## 869 5.5 Negative High Usage
## 870 7.2 Positive Low Usage
## 871 7.3 Positive Low Usage
## 872 7.3 Positive Low Usage
## 873 6.1 Neutral Low Usage
## 874 6.7 Neutral Low Usage
## 875 6.0 Neutral High Usage
## 876 6.5 Neutral Low Usage
## 877 6.2 Neutral Low Usage
## 878 7.0 Positive Low Usage
## 879 6.4 Neutral Low Usage
## 880 5.5 Negative High Usage
## 881 6.1 Neutral High Usage
## 882 4.9 Negative High Usage
## 883 5.7 Negative High Usage
## 884 6.7 Neutral Low Usage
## 885 8.2 Positive Low Usage
## 886 4.5 Negative High Usage
## 887 4.1 Negative High Usage
## 888 5.9 Negative High Usage
## 889 4.1 Negative High Usage
## 890 4.5 Negative High Usage
## 891 8.8 Positive Low Usage
## 892 7.5 Positive Low Usage
## 893 5.2 Negative High Usage
## 894 8.5 Positive Low Usage
## 895 7.2 Positive Low Usage
## 896 6.1 Neutral Low Usage
## 897 6.2 Neutral Low Usage
## 898 8.8 Positive Low Usage
## 899 5.7 Negative High Usage
## 900 4.1 Negative High Usage
## 901 7.2 Positive Low Usage
## 902 7.3 Positive Low Usage
## 903 6.1 Neutral High Usage
## 904 4.7 Negative High Usage
## 905 8.8 Positive Low Usage
## 906 6.9 Neutral High Usage
## 907 7.7 Positive Low Usage
## 908 7.8 Positive Low Usage
## 909 8.8 Positive Low Usage
## 910 6.8 Neutral High Usage
## 911 6.9 Neutral Low Usage
## 912 7.7 Positive Low Usage
## 913 8.5 Positive Low Usage
## 914 6.4 Neutral Low Usage
## 915 6.6 Neutral Low Usage
## 916 6.5 Neutral High Usage
## 917 4.9 Negative High Usage
## 918 5.5 Negative High Usage
## 919 6.8 Neutral Low Usage
## 920 5.7 Negative High Usage
## 921 8.3 Positive Low Usage
## 922 5.3 Negative High Usage
## 923 4.1 Negative High Usage
## 924 4.6 Negative High Usage
## 925 7.6 Positive Low Usage
## 926 4.1 Negative High Usage
## 927 6.8 Neutral Low Usage
## 928 4.4 Negative High Usage
## 929 7.9 Positive Low Usage
## 930 9.0 Positive Low Usage
## 931 4.1 Negative High Usage
## 932 8.3 Positive Low Usage
## 933 4.2 Negative High Usage
## 934 7.2 Positive Low Usage
## 935 8.5 Positive Low Usage
## 936 7.0 Neutral Low Usage
## 937 5.3 Negative High Usage
## 938 4.7 Negative High Usage
## 939 7.5 Positive Low Usage
## 940 5.0 Negative High Usage
## 941 4.6 Negative High Usage
## 942 7.2 Positive Low Usage
## 943 7.4 Positive Low Usage
## 944 4.3 Negative High Usage
## 945 8.6 Positive Low Usage
## 946 4.3 Negative High Usage
## 947 6.6 Neutral Low Usage
## 948 8.4 Positive Low Usage
## 949 5.8 Negative High Usage
## 950 4.8 Negative High Usage
## 951 6.8 Neutral Low Usage
## 952 5.0 Negative High Usage
## 953 5.4 Negative High Usage
## 954 4.5 Negative High Usage
## 955 8.6 Positive Low Usage
## 956 6.5 Neutral Low Usage
## 957 6.7 Neutral Low Usage
## 958 6.3 Neutral Low Usage
## 959 5.8 Negative High Usage
## 960 4.9 Negative High Usage
## 961 7.1 Positive Low Usage
## 962 4.6 Negative High Usage
## 963 4.3 Negative High Usage
## 964 6.3 Neutral Low Usage
## 965 8.3 Positive Low Usage
## 966 4.6 Negative High Usage
## 967 5.4 Negative High Usage
## 968 5.6 Negative High Usage
## 969 5.9 Negative High Usage
## 970 5.1 Negative High Usage
## 971 8.9 Positive Low Usage
## 972 5.1 Negative High Usage
## 973 7.7 Positive Low Usage
## 974 6.2 Neutral High Usage
## 975 4.2 Negative High Usage
## 976 8.3 Positive Low Usage
## 977 8.8 Positive Low Usage
## 978 4.4 Negative High Usage
## 979 6.4 Neutral Low Usage
## 980 4.5 Negative High Usage
## 981 7.5 Positive Low Usage
## 982 4.8 Negative High Usage
## 983 8.4 Positive Low Usage
## 984 8.0 Positive Low Usage
## 985 6.8 Neutral Low Usage
## 986 5.1 Negative High Usage
## 987 4.7 Negative High Usage
## 988 8.5 Positive Low Usage
## 989 5.6 Negative High Usage
## 990 5.3 Negative High Usage
## 991 4.6 Negative High Usage
## 992 8.6 Positive Low Usage
## 993 5.3 Negative High Usage
## 994 4.5 Negative High Usage
## 995 5.1 Negative High Usage
## 996 7.8 Positive Low Usage
## 997 5.0 Negative High Usage
## 998 6.6 Neutral High Usage
## 999 5.2 Negative High Usage
## 1000 4.6 Negative High Usage
## 1001 6.0 Negative High Usage
## 1002 8.0 Neutral Low Usage
## 1003 5.0 Negative High Usage
## 1004 7.0 Positive Low Usage
## 1005 6.0 Negative Low Usage
## 1006 4.0 Negative High Usage
## 1007 9.0 Neutral Low Usage
## 1008 6.0 Negative High Usage
## 1009 7.0 Positive Low Usage
## 1010 7.0 Positive Low Usage
## 1011 5.0 Negative Low Usage
## 1012 6.0 Negative High Usage
## 1013 8.0 Positive Low Usage
## 1014 5.0 Negative High Usage
## 1015 7.0 Positive Low Usage
## 1016 6.0 Negative Low Usage
## 1017 8.0 Neutral Low Usage
## 1018 5.0 Negative Low Usage
## 1019 7.0 Positive Low Usage
## 1020 6.0 Negative Low Usage
## 1021 5.0 Negative High Usage
## 1022 8.0 Positive Low Usage
## 1023 6.0 Negative Low Usage
## 1024 5.0 Negative High Usage
## 1025 7.0 Positive Low Usage
## 1026 5.0 Negative High Usage
## 1027 7.0 Positive Low Usage
## 1028 6.0 Negative Low Usage
## 1029 8.0 Neutral Low Usage
## 1030 5.0 Negative High Usage
## 1031 7.0 Positive Low Usage
## 1032 6.0 Negative Low Usage
## 1033 5.0 Negative High Usage
## 1034 8.0 Positive Low Usage
## 1035 6.0 Negative Low Usage
## 1036 5.0 Negative High Usage
## 1037 7.0 Positive Low Usage
## 1038 5.0 Negative High Usage
## 1039 7.0 Negative Low Usage
## 1040 6.0 Negative Low Usage
## 1041 8.0 Positive Low Usage
## 1042 5.0 Negative High Usage
## 1043 7.0 Positive Low Usage
## 1044 6.0 Negative Low Usage
## 1045 5.0 Negative High Usage
## 1046 8.0 Positive Low Usage
## 1047 6.0 Negative Low Usage
## 1048 5.0 Negative High Usage
## 1049 7.0 Positive Low Usage
## 1050 5.0 Negative High Usage
## 1051 7.0 Negative Low Usage
## 1052 6.0 Negative Low Usage
## 1053 8.0 Positive Low Usage
## 1054 5.0 Negative High Usage
## 1055 7.0 Positive Low Usage
## 1056 6.0 Negative Low Usage
## 1057 5.0 Negative High Usage
## 1058 8.0 Positive Low Usage
## 1059 6.0 Negative Low Usage
## 1060 5.0 Negative High Usage
## 1061 7.0 Positive Low Usage
## 1062 5.0 Negative High Usage
## 1063 6.0 Negative Low Usage
## 1064 4.0 Negative High Usage
## 1065 8.0 Neutral Low Usage
## 1066 6.0 Negative Low Usage
## 1067 7.0 Negative Low Usage
## 1068 5.0 Negative High Usage
## 1069 8.0 Positive Low Usage
## 1070 6.0 Negative Low Usage
## 1071 5.0 Negative High Usage
## 1072 7.0 Positive Low Usage
## 1073 6.0 Negative Low Usage
## 1074 5.0 Negative High Usage
## 1075 8.0 Positive Low Usage
## 1076 6.0 Negative Low Usage
## 1077 5.0 Negative High Usage
## 1078 7.0 Positive Low Usage
## 1079 6.0 Negative Low Usage
## 1080 5.0 Negative High Usage
## 1081 8.0 Positive Low Usage
## 1082 6.0 Negative Low Usage
## 1083 7.0 Negative Low Usage
## 1084 8.0 Positive Low Usage
## 1085 5.0 Negative High Usage
## 1086 6.0 Negative Low Usage
## 1087 5.0 Negative High Usage
## 1088 8.0 Positive Low Usage
## 1089 6.0 Negative Low Usage
## 1090 5.0 Negative High Usage
## 1091 7.0 Positive Low Usage
## 1092 6.0 Negative Low Usage
## 1093 7.0 Negative Low Usage
## 1094 5.0 Negative High Usage
## 1095 8.0 Positive Low Usage
## 1096 6.0 Negative Low Usage
## 1097 5.0 Negative High Usage
## 1098 8.0 Positive Low Usage
## 1099 6.0 Negative Low Usage
## 1100 5.0 Negative High Usage
## 1101 5.0 Negative High Usage
## 1102 8.0 Positive Low Usage
## 1103 6.0 Negative Low Usage
## 1104 5.0 Negative High Usage
## 1105 7.0 Positive Low Usage
## 1106 6.0 Negative Low Usage
## 1107 7.0 Negative Low Usage
## 1108 5.0 Negative High Usage
## 1109 8.0 Positive Low Usage
## 1110 6.0 Negative Low Usage
## 1111 5.0 Negative High Usage
## 1112 6.0 Negative High Usage
## 1113 7.0 Positive Low Usage
## 1114 5.0 Negative High Usage
## 1115 6.0 Negative High Usage
## 1116 8.0 Positive Low Usage
## 1117 5.0 Negative High Usage
## 1118 6.0 Negative High Usage
## 1119 7.0 Positive Low Usage
## 1120 5.0 Negative High Usage
## 1121 6.0 Negative High Usage
## 1122 8.0 Positive Low Usage
## 1123 5.0 Negative High Usage
## 1124 6.0 Negative High Usage
## 1125 7.0 Positive Low Usage
## 1126 5.0 Negative High Usage
## 1127 6.0 Negative High Usage
## 1128 8.0 Positive Low Usage
## 1129 5.0 Negative High Usage
## 1130 6.0 Negative High Usage
## 1131 7.0 Positive Low Usage
## 1132 5.0 Negative Low Usage
## 1133 6.0 Negative High Usage
## 1134 8.0 Positive Low Usage
## 1135 5.0 Negative Low Usage
## 1136 6.0 Negative High Usage
## 1137 7.0 Positive Low Usage
## 1138 5.0 Negative Low Usage
## 1139 6.0 Negative High Usage
## 1140 8.0 Positive Low Usage
## 1141 5.0 Negative Low Usage
## 1142 6.0 Negative High Usage
## 1143 7.0 Positive Low Usage
## 1144 5.0 Negative Low Usage
## 1145 6.0 Negative High Usage
## 1146 8.0 Positive Low Usage
## 1147 5.0 Negative Low Usage
## 1148 6.0 Negative Low Usage
## 1149 7.0 Positive Low Usage
## 1150 5.0 Negative Low Usage
## 1151 6.0 Negative Low Usage
## 1152 8.0 Positive Low Usage
## 1153 5.0 Negative Low Usage
## 1154 6.0 Negative Low Usage
## 1155 7.0 Positive Low Usage
## 1156 5.0 Negative Low Usage
## 1157 6.0 Negative Low Usage
## 1158 8.0 Positive Low Usage
## 1159 5.0 Negative Low Usage
## 1160 6.0 Negative Low Usage
## 1161 5.0 Negative High Usage
## 1162 7.0 Negative Low Usage
## 1163 6.0 Negative High Usage
## 1164 5.0 Negative Low Usage
## 1165 7.0 Positive High Usage
## 1166 6.0 Negative High Usage
## 1167 5.0 Negative Low Usage
## 1168 7.0 Negative High Usage
## 1169 6.0 Negative High Usage
## 1170 5.0 Negative Low Usage
## 1171 7.0 Positive Low Usage
## 1172 6.0 Negative High Usage
## 1173 5.0 Negative Low Usage
## 1174 7.0 Negative High Usage
## 1175 6.0 Negative High Usage
## 1176 5.0 Negative Low Usage
## 1177 7.0 Positive Low Usage
## 1178 6.0 Negative High Usage
## 1179 5.0 Negative Low Usage
## 1180 7.0 Negative Low Usage
## 1181 6.0 Negative High Usage
## 1182 5.0 Negative Low Usage
## 1183 7.0 Positive Low Usage
## 1184 6.0 Negative High Usage
## 1185 5.0 Negative Low Usage
## 1186 7.0 Negative Low Usage
## 1187 6.0 Negative High Usage
## 1188 5.0 Negative Low Usage
## 1189 7.0 Positive Low Usage
## 1190 6.0 Negative Low Usage
## 1191 5.0 Negative Low Usage
## 1192 7.0 Negative Low Usage
## 1193 6.0 Negative High Usage
## 1194 5.0 Negative Low Usage
## 1195 7.0 Positive Low Usage
## 1196 6.0 Negative Low Usage
## 1197 5.0 Negative Low Usage
## 1198 7.0 Negative Low Usage
## 1199 6.0 Negative High Usage
## 1200 5.0 Negative Low Usage
## 1201 7.0 Positive Low Usage
## 1202 6.0 Negative Low Usage
## 1203 5.0 Negative Low Usage
## 1204 7.0 Negative Low Usage
## 1205 6.0 Negative High Usage
## 1206 5.0 Negative Low Usage
## 1207 7.0 Positive Low Usage
## 1208 6.0 Negative Low Usage
## 1209 5.0 Negative Low Usage
## 1210 7.0 Negative Low Usage
## 1211 6.0 Negative High Usage
## 1212 5.0 Negative Low Usage
## 1213 7.0 Positive Low Usage
## 1214 6.0 Negative Low Usage
## 1215 5.0 Negative Low Usage
## 1216 7.0 Negative Low Usage
## 1217 6.0 Negative High Usage
## 1218 5.0 Negative Low Usage
## 1219 7.0 Positive Low Usage
## 1220 6.0 Negative Low Usage
## 1221 5.0 Negative High Usage
## 1222 6.0 Negative High Usage
## 1223 8.0 Positive Low Usage
## 1224 7.0 Positive Low Usage
## 1225 8.0 Neutral Low Usage
## 1226 6.0 Negative High Usage
## 1227 6.0 Negative High Usage
## 1228 7.0 Positive Low Usage
## 1229 4.0 Negative High Usage
## 1230 6.0 Negative High Usage
## 1231 7.0 Positive Low Usage
## 1232 8.0 Positive Low Usage
## 1233 8.0 Neutral Low Usage
## 1234 5.0 Negative High Usage
## 1235 6.0 Negative Low Usage
## 1236 7.0 Positive Low Usage
## 1237 4.0 Negative High Usage
## 1238 6.0 Negative High Usage
## 1239 7.0 Positive Low Usage
## 1240 8.0 Positive Low Usage
## 1241 8.0 Neutral Low Usage
## 1242 5.0 Negative High Usage
## 1243 6.0 Negative High Usage
## 1244 7.0 Positive Low Usage
## 1245 4.0 Negative High Usage
## 1246 6.0 Negative High Usage
## 1247 7.0 Positive Low Usage
## 1248 8.0 Positive Low Usage
## 1249 8.0 Neutral Low Usage
## 1250 5.0 Negative High Usage
## 1251 6.0 Negative Low Usage
## 1252 7.0 Positive Low Usage
## 1253 4.0 Negative High Usage
## 1254 6.0 Negative High Usage
## 1255 7.0 Positive Low Usage
## 1256 8.0 Positive Low Usage
## 1257 8.0 Neutral Low Usage
## 1258 5.0 Negative High Usage
## 1259 6.0 Negative Low Usage
## 1260 7.0 Positive Low Usage
## 1261 4.0 Negative High Usage
## 1262 6.0 Negative High Usage
## 1263 7.0 Positive Low Usage
## 1264 8.0 Positive Low Usage
## 1265 8.0 Neutral Low Usage
## 1266 5.0 Negative High Usage
## 1267 6.0 Negative Low Usage
## 1268 7.0 Positive Low Usage
## 1269 4.0 Negative High Usage
## 1270 6.0 Negative High Usage
## 1271 7.0 Positive Low Usage
## 1272 8.0 Positive Low Usage
## 1273 8.0 Neutral Low Usage
## 1274 5.0 Negative High Usage
## 1275 6.0 Negative Low Usage
## 1276 7.0 Positive Low Usage
## 1277 4.0 Negative High Usage
## 1278 6.0 Negative High Usage
## 1279 7.0 Positive Low Usage
## 1280 8.0 Positive Low Usage
## 1281 8.0 Neutral Low Usage
## 1282 5.0 Negative High Usage
## 1283 6.0 Negative Low Usage
## 1284 7.0 Positive Low Usage
## 1285 4.0 Negative High Usage
## 1286 6.0 Negative Low Usage
## 1287 7.0 Positive Low Usage
## 1288 8.0 Positive Low Usage
## 1289 8.0 Neutral Low Usage
## 1290 5.0 Negative High Usage
## 1291 6.0 Negative Low Usage
## 1292 7.0 Positive Low Usage
## 1293 4.0 Negative High Usage
## 1294 6.0 Negative Low Usage
## 1295 7.0 Positive Low Usage
## 1296 8.0 Positive Low Usage
## 1297 8.0 Neutral Low Usage
## 1298 5.0 Negative High Usage
## 1299 6.0 Negative Low Usage
## 1300 7.0 Positive Low Usage
## 1301 4.0 Negative High Usage
## 1302 6.0 Negative Low Usage
## 1303 7.0 Positive Low Usage
## 1304 8.0 Positive Low Usage
## 1305 8.0 Neutral Low Usage
## 1306 5.0 Negative Low Usage
## 1307 6.0 Negative Low Usage
## 1308 7.0 Positive Low Usage
## 1309 4.0 Negative High Usage
## 1310 6.0 Negative Low Usage
## 1311 7.0 Positive Low Usage
## 1312 8.0 Positive Low Usage
## 1313 8.0 Neutral Low Usage
## 1314 5.0 Negative Low Usage
## 1315 6.0 Negative Low Usage
## 1316 7.0 Positive Low Usage
## 1317 4.0 Negative High Usage
## 1318 6.0 Negative Low Usage
## 1319 7.0 Positive Low Usage
## 1320 8.0 Positive Low Usage
## 1321 6.0 Negative High Usage
## 1322 8.0 Positive Low Usage
## 1323 7.0 Negative Low Usage
## 1324 5.0 Negative High Usage
## 1325 8.0 Positive Low Usage
## 1326 6.0 Negative High Usage
## 1327 5.0 Negative High Usage
## 1328 6.0 Negative High Usage
## 1329 7.0 Positive Low Usage
## 1330 6.0 Negative High Usage
## 1331 6.0 Negative High Usage
## 1332 8.0 Positive Low Usage
## 1333 7.0 Negative Low Usage
## 1334 5.0 Negative High Usage
## 1335 8.0 Positive Low Usage
## 1336 6.0 Negative High Usage
## 1337 5.0 Negative High Usage
## 1338 6.0 Negative High Usage
## 1339 7.0 Positive Low Usage
## 1340 6.0 Negative High Usage
## 1341 6.0 Negative Low Usage
## 1342 8.0 Positive Low Usage
## 1343 7.0 Negative Low Usage
## 1344 5.0 Negative High Usage
## 1345 8.0 Positive Low Usage
## 1346 6.0 Negative High Usage
## 1347 5.0 Negative High Usage
## 1348 6.0 Negative High Usage
## 1349 7.0 Positive Low Usage
## 1350 6.0 Negative High Usage
## 1351 6.0 Negative Low Usage
## 1352 8.0 Positive Low Usage
## 1353 7.0 Negative Low Usage
## 1354 5.0 Negative High Usage
## 1355 8.0 Positive Low Usage
## 1356 6.0 Negative High Usage
## 1357 5.0 Negative High Usage
## 1358 6.0 Negative High Usage
## 1359 7.0 Positive Low Usage
## 1360 6.0 Negative Low Usage
## 1361 6.0 Negative Low Usage
## 1362 8.0 Positive Low Usage
## 1363 7.0 Negative Low Usage
## 1364 5.0 Negative High Usage
## 1365 8.0 Positive Low Usage
## 1366 6.0 Negative High Usage
## 1367 5.0 Negative High Usage
## 1368 6.0 Negative High Usage
## 1369 7.0 Positive Low Usage
## 1370 6.0 Negative Low Usage
## 1371 6.0 Negative Low Usage
## 1372 8.0 Positive Low Usage
## 1373 7.0 Negative Low Usage
## 1374 5.0 Negative High Usage
## 1375 8.0 Positive Low Usage
## 1376 6.0 Negative Low Usage
## 1377 5.0 Negative High Usage
## 1378 6.0 Negative High Usage
## 1379 7.0 Positive Low Usage
## 1380 6.0 Negative Low Usage
## 1381 6.0 Negative Low Usage
## 1382 8.0 Positive Low Usage
## 1383 7.0 Negative Low Usage
## 1384 5.0 Negative High Usage
## 1385 8.0 Positive Low Usage
## 1386 6.0 Negative Low Usage
## 1387 5.0 Negative High Usage
## 1388 6.0 Negative High Usage
## 1389 7.0 Positive Low Usage
## 1390 6.0 Negative Low Usage
## 1391 6.0 Negative Low Usage
## 1392 8.0 Positive Low Usage
## 1393 7.0 Negative Low Usage
## 1394 5.0 Negative High Usage
## 1395 8.0 Positive Low Usage
## 1396 6.0 Negative Low Usage
## 1397 5.0 Negative High Usage
## 1398 6.0 Negative High Usage
## 1399 7.0 Positive Low Usage
## 1400 6.0 Negative Low Usage
## 1401 6.0 Negative Low Usage
## 1402 8.0 Positive Low Usage
## 1403 7.0 Negative Low Usage
## 1404 5.0 Negative High Usage
## 1405 8.0 Positive Low Usage
## 1406 6.0 Negative Low Usage
## 1407 5.0 Negative High Usage
## 1408 6.0 Negative High Usage
## 1409 7.0 Positive Low Usage
## 1410 6.0 Negative Low Usage
## 1411 6.0 Negative Low Usage
## 1412 8.0 Positive Low Usage
## 1413 7.0 Negative Low Usage
## 1414 5.0 Negative High Usage
## 1415 8.0 Positive Low Usage
## 1416 6.0 Negative Low Usage
## 1417 5.0 Negative High Usage
## 1418 6.0 Negative High Usage
## 1419 7.0 Positive Low Usage
## 1420 6.0 Negative Low Usage
## 1421 6.0 Negative Low Usage
## 1422 8.0 Positive Low Usage
## 1423 7.0 Negative Low Usage
## 1424 5.0 Negative High Usage
## 1425 8.0 Positive Low Usage
## 1426 6.0 Negative Low Usage
## 1427 5.0 Negative High Usage
## 1428 6.0 Negative High Usage
## 1429 7.0 Positive Low Usage
## 1430 6.0 Negative Low Usage
## 1431 6.0 Negative Low Usage
## 1432 8.0 Positive Low Usage
## 1433 7.0 Negative Low Usage
## 1434 5.0 Negative High Usage
## 1435 8.0 Positive Low Usage
## 1436 6.0 Negative Low Usage
## 1437 5.0 Negative High Usage
## 1438 6.0 Negative High Usage
## 1439 7.0 Positive Low Usage
## 1440 6.0 Negative Low Usage
## 1441 6.0 Negative Low Usage
## 1442 8.0 Positive Low Usage
## 1443 7.0 Negative Low Usage
## 1444 5.0 Negative High Usage
## 1445 8.0 Positive Low Usage
## 1446 6.0 Negative Low Usage
## 1447 5.0 Negative High Usage
## 1448 6.0 Negative High Usage
## 1449 7.0 Positive Low Usage
## 1450 6.0 Negative Low Usage
## 1451 6.0 Negative Low Usage
## 1452 8.0 Positive Low Usage
## 1453 7.0 Negative Low Usage
## 1454 5.0 Negative High Usage
## 1455 8.0 Positive Low Usage
## 1456 6.0 Negative Low Usage
## 1457 5.0 Negative High Usage
## 1458 6.0 Negative High Usage
## 1459 7.0 Positive Low Usage
## 1460 6.0 Negative Low Usage
## 1461 6.0 Negative Low Usage
## 1462 8.0 Positive Low Usage
## 1463 7.0 Negative Low Usage
## 1464 5.0 Negative High Usage
## 1465 8.0 Positive Low Usage
## 1466 6.0 Negative Low Usage
## 1467 5.0 Negative High Usage
## 1468 6.0 Negative High Usage
## 1469 7.0 Positive Low Usage
## 1470 6.0 Negative Low Usage
## 1471 6.0 Negative Low Usage
## 1472 8.0 Positive Low Usage
## 1473 7.0 Negative Low Usage
## 1474 5.0 Negative High Usage
## 1475 8.0 Positive Low Usage
## 1476 6.0 Negative Low Usage
## 1477 5.0 Negative High Usage
## 1478 6.0 Negative High Usage
## 1479 7.0 Positive Low Usage
## 1480 6.0 Negative Low Usage
## 1481 6.0 Negative Low Usage
## 1482 8.0 Positive Low Usage
## 1483 7.0 Negative Low Usage
## 1484 5.0 Negative High Usage
## 1485 8.0 Positive Low Usage
## 1486 6.0 Negative Low Usage
## 1487 5.0 Negative High Usage
## 1488 6.0 Negative High Usage
## 1489 7.0 Positive Low Usage
## 1490 6.0 Negative Low Usage
## 1491 6.0 Negative Low Usage
## 1492 8.0 Positive Low Usage
## 1493 7.0 Negative Low Usage
## 1494 5.0 Negative High Usage
## 1495 8.0 Positive Low Usage
## 1496 6.0 Negative Low Usage
## 1497 5.0 Negative High Usage
## 1498 6.0 Negative High Usage
## 1499 7.0 Positive Low Usage
## 1500 6.0 Negative Low Usage
## 1501 6.0 Negative High Usage
## 1502 7.0 Positive Low Usage
## 1503 8.0 Positive Low Usage
## 1504 7.0 Negative Low Usage
## 1505 6.0 Negative High Usage
## 1506 6.0 Negative High Usage
## 1507 5.0 Negative High Usage
## 1508 7.0 Positive Low Usage
## 1509 5.0 Negative High Usage
## 1510 7.0 Negative Low Usage
## 1511 6.0 Negative High Usage
## 1512 7.0 Positive Low Usage
## 1513 8.0 Positive Low Usage
## 1514 7.0 Negative Low Usage
## 1515 6.0 Negative High Usage
## 1516 6.0 Negative High Usage
## 1517 5.0 Negative High Usage
## 1518 7.0 Positive Low Usage
## 1519 5.0 Negative High Usage
## 1520 7.0 Negative Low Usage
## 1521 6.0 Negative High Usage
## 1522 7.0 Positive Low Usage
## 1523 8.0 Positive Low Usage
## 1524 7.0 Negative Low Usage
## 1525 6.0 Negative High Usage
## 1526 6.0 Negative High Usage
## 1527 5.0 Negative High Usage
## 1528 7.0 Positive Low Usage
## 1529 5.0 Negative High Usage
## 1530 7.0 Negative Low Usage
## 1531 6.0 Negative High Usage
## 1532 7.0 Positive Low Usage
## 1533 8.0 Positive Low Usage
## 1534 7.0 Negative Low Usage
## 1535 6.0 Negative High Usage
## 1536 6.0 Negative High Usage
## 1537 5.0 Negative High Usage
## 1538 7.0 Positive Low Usage
## 1539 5.0 Negative High Usage
## 1540 7.0 Negative Low Usage
## 1541 6.0 Negative High Usage
## 1542 7.0 Positive Low Usage
## 1543 8.0 Positive Low Usage
## 1544 7.0 Negative Low Usage
## 1545 6.0 Negative High Usage
## 1546 6.0 Negative High Usage
## 1547 5.0 Negative High Usage
## 1548 7.0 Positive Low Usage
## 1549 5.0 Negative High Usage
## 1550 7.0 Negative Low Usage
## 1551 6.0 Negative High Usage
## 1552 7.0 Positive Low Usage
## 1553 8.0 Positive Low Usage
## 1554 7.0 Negative Low Usage
## 1555 6.0 Negative High Usage
## 1556 6.0 Negative High Usage
## 1557 5.0 Negative High Usage
## 1558 7.0 Positive Low Usage
## 1559 5.0 Negative High Usage
## 1560 7.0 Negative Low Usage
## 1561 6.0 Negative High Usage
## 1562 7.0 Positive Low Usage
## 1563 8.0 Positive Low Usage
## 1564 7.0 Negative Low Usage
## 1565 6.0 Negative High Usage
## 1566 6.0 Negative High Usage
## 1567 5.0 Negative High Usage
## 1568 7.0 Positive Low Usage
## 1569 5.0 Negative High Usage
## 1570 7.0 Negative Low Usage
## 1571 5.0 Negative High Usage
## 1572 8.0 Positive Low Usage
## 1573 6.0 Negative High Usage
## 1574 4.0 Negative High Usage
## 1575 7.0 Positive Low Usage
## 1576 5.0 Negative High Usage
## 1577 6.0 Negative High Usage
## 1578 5.0 Negative High Usage
## 1579 7.0 Positive Low Usage
## 1580 6.0 Negative High Usage
## 1581 5.0 Negative High Usage
## 1582 7.0 Positive Low Usage
## 1583 5.0 Negative High Usage
## 1584 6.0 Negative High Usage
## 1585 8.0 Positive Low Usage
## 1586 5.0 Negative High Usage
## 1587 7.0 Positive Low Usage
## 1588 5.0 Negative High Usage
## 1589 7.0 Positive Low Usage
## 1590 6.0 Negative High Usage
## 1591 4.0 Negative High Usage
## 1592 7.0 Positive Low Usage
## 1593 5.0 Negative High Usage
## 1594 6.0 Negative High Usage
## 1595 5.0 Negative High Usage
## 1596 6.0 Negative High Usage
## 1597 7.0 Positive Low Usage
## 1598 5.0 Negative High Usage
## 1599 7.0 Positive High Usage
## 1600 4.0 Negative High Usage
## 1601 6.0 Negative High Usage
## 1602 8.0 Positive Low Usage
## 1603 5.0 Negative High Usage
## 1604 7.0 Positive Low Usage
## 1605 5.0 Negative High Usage
## 1606 7.0 Positive Low Usage
## 1607 6.0 Negative High Usage
## 1608 4.0 Negative High Usage
## 1609 7.0 Positive Low Usage
## 1610 5.0 Negative High Usage
## 1611 6.0 Negative High Usage
## 1612 5.0 Negative High Usage
## 1613 7.0 Positive Low Usage
## 1614 6.0 Negative High Usage
## 1615 5.0 Negative High Usage
## 1616 7.0 Positive Low Usage
## 1617 4.0 Negative High Usage
## 1618 6.0 Negative High Usage
## 1619 8.0 Positive Low Usage
## 1620 5.0 Negative High Usage
## 1621 7.0 Positive Low Usage
## 1622 5.0 Negative High Usage
## 1623 7.0 Positive Low Usage
## 1624 6.0 Negative High Usage
## 1625 4.0 Negative High Usage
## 1626 7.0 Positive Low Usage
## 1627 5.0 Negative High Usage
## 1628 6.0 Negative High Usage
## 1629 5.0 Negative High Usage
## 1630 7.0 Positive Low Usage
## 1631 6.0 Negative High Usage
## 1632 5.0 Negative High Usage
## 1633 7.0 Positive Low Usage
## 1634 4.0 Negative High Usage
## 1635 6.0 Negative High Usage
## 1636 8.0 Positive Low Usage
## 1637 5.0 Negative High Usage
## 1638 7.0 Positive Low Usage
## 1639 5.0 Negative High Usage
## 1640 7.0 Positive Low Usage
## 1641 6.0 Negative High Usage
## 1642 4.0 Negative High Usage
## 1643 7.0 Positive Low Usage
## 1644 5.0 Negative High Usage
## 1645 6.0 Negative High Usage
## 1646 5.0 Negative High Usage
## 1647 7.0 Positive Low Usage
## 1648 6.0 Negative High Usage
## 1649 5.0 Negative High Usage
## 1650 7.0 Positive Low Usage
## 1651 4.0 Negative High Usage
## 1652 6.0 Negative High Usage
## 1653 8.0 Positive Low Usage
## 1654 5.0 Negative High Usage
## 1655 7.0 Positive Low Usage
## 1656 5.0 Negative High Usage
## 1657 7.0 Positive Low Usage
## 1658 6.0 Negative High Usage
## 1659 4.0 Negative High Usage
## 1660 7.0 Positive Low Usage
## 1661 5.0 Negative High Usage
## 1662 6.0 Negative High Usage
## 1663 5.0 Negative High Usage
## 1664 7.0 Positive Low Usage
## 1665 6.0 Negative High Usage
## 1666 5.0 Negative High Usage
## 1667 7.0 Positive Low Usage
## 1668 4.0 Negative High Usage
## 1669 6.0 Negative High Usage
## 1670 8.0 Positive Low Usage
## 1671 5.0 Negative High Usage
## 1672 7.0 Positive Low Usage
## 1673 5.0 Negative High Usage
## 1674 7.0 Positive Low Usage
## 1675 6.0 Negative High Usage
## 1676 4.0 Negative High Usage
## 1677 7.0 Positive Low Usage
## 1678 5.0 Negative High Usage
## 1679 6.0 Negative High Usage
## 1680 5.0 Negative High Usage
## 1681 7.0 Positive Low Usage
## 1682 6.0 Negative High Usage
## 1683 5.0 Negative High Usage
## 1684 7.0 Positive Low Usage
## 1685 4.0 Negative High Usage
## 1686 6.0 Negative High Usage
## 1687 8.0 Positive Low Usage
## 1688 5.0 Negative High Usage
## 1689 7.0 Positive Low Usage
## 1690 5.0 Negative High Usage
## 1691 7.0 Positive Low Usage
## 1692 6.0 Negative High Usage
## 1693 4.0 Negative High Usage
## 1694 7.0 Positive Low Usage
## 1695 5.0 Negative High Usage
## 1696 6.0 Negative High Usage
## 1697 5.0 Negative High Usage
## 1698 7.0 Positive Low Usage
## 1699 6.0 Negative High Usage
## 1700 5.0 Negative High Usage
## 1701 7.0 Positive Low Usage
## 1702 4.0 Negative High Usage
## 1703 6.0 Negative High Usage
## 1704 8.0 Positive Low Usage
## 1705 5.0 Negative High Usagesocial_media$usage_group <- as.factor(social_media$usage_group)14.2 Independent t-test( one numerical dependent, and one independent with two categories?usage grp)
sleep_test <- t.test(
Sleep_Hours_Per_Night ~ usage_group,
data = social_media)
sleep_test##
## Welch Two Sample t-test
##
## data: Sleep_Hours_Per_Night by usage_group
## t = -46.441, df = 1637.6, p-value < 2.2e-16
## alternative hypothesis: true difference in means between group High Usage and group Low Usage is not equal to 0
## 95 percent confidence interval:
## -1.881645 -1.729146
## sample estimates:
## mean in group High Usage mean in group Low Usage
## 5.703953 7.509349A Welch two-sample t-test was conducted to examine differences in sleep duration between students with high and low social media usage. The analysis revealed a statistically significant difference in sleep hours, t(1637.6) = -46.44, p < 0.001. Students with high social media usage slept significantly fewer hours (M = 5.70) compared to low-usage students (M = 7.51). The mean difference ranged from -1.88 to -1.73 hours at the 95% confidence interval.
15 ANOVA Analysis
15.1 ANOVA tests whether mental health scores differ significantly across social media platforms. one dependt and one independent with 3 or more categories? most_used_platform
Null hypothesis: there is no significant diff across mean Alternative hypothesis: there are diff across at least platform
anova_model <- aov(
Mental_Health_Score ~ Most_Used_Platform,
data = social_media)
summary(anova_model)## Df Sum Sq Mean Sq F value Pr(>F)
## Most_Used_Platform 11 138.9 12.623 8.02 9.11e-14 ***
## Residuals 1693 2664.7 1.574
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1A one-way ANOVA was conducted to determine whether significant differences existed across social media platforms regarding the mental health score across each social platform. The analysis revealed a statistically significant effect of platform usage, F(11, 1693) = 8.02, p < 0.001. This indicates that at least one social media platform differs significantly from the others in its impact on the mental health score.
16 WHICH grp diff using POST HOCK TEST
TukeyHSD(anova_model)## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = Mental_Health_Score ~ Most_Used_Platform, data = social_media)
##
## $Most_Used_Platform
## diff lwr upr p adj
## Instagram-Facebook -0.26950313 -0.59992934 0.06092308 0.2426264
## KakaoTalk-Facebook -0.42734375 -1.64002372 0.78533622 0.9920976
## LINE-Facebook 1.57265625 0.35997628 2.78533622 0.0013873
## LinkedIn-Facebook 0.16924716 -0.23277961 0.57127393 0.9677106
## Snapchat-Facebook -0.37835046 -0.80141226 0.04471133 0.1323784
## TikTok-Facebook -0.49310646 -0.84380522 -0.14240771 0.0002814
## Twitter-Facebook -0.13204963 -0.53825885 0.27415958 0.9960407
## VKontakte-Facebook 0.57265625 -0.64002372 1.78533622 0.9276283
## WeChat-Facebook 0.03932292 -1.05138495 1.13003079 1.0000000
## WhatsApp-Facebook -0.89030671 -1.50513437 -0.27547905 0.0001470
## YouTube-Facebook -0.21582860 -0.62571972 0.19406252 0.8576006
## KakaoTalk-Instagram -0.15784062 -1.36120229 1.04552106 0.9999995
## LINE-Instagram 1.84215938 0.63879771 3.04552106 0.0000386
## LinkedIn-Instagram 0.43875029 0.06577290 0.81172768 0.0068344
## Snapchat-Instagram -0.10884733 -0.50440755 0.28671290 0.9991250
## TikTok-Instagram -0.22360333 -0.54058318 0.09337652 0.4707488
## Twitter-Instagram 0.13745350 -0.24002833 0.51493533 0.9896278
## VKontakte-Instagram 0.84215938 -0.36120229 2.04552106 0.4839038
## WeChat-Instagram 0.30882605 -0.77151198 1.38916408 0.9987536
## WhatsApp-Instagram -0.62080358 -1.21704150 -0.02456566 0.0326608
## YouTube-Instagram 0.05367453 -0.32776660 0.43511567 0.9999990
## LINE-KakaoTalk 2.00000000 0.32384650 3.67615350 0.0055275
## LinkedIn-KakaoTalk 0.59659091 -0.62836761 1.82154943 0.9115046
## Snapchat-KakaoTalk 0.04899329 -1.18302908 1.28101566 1.0000000
## TikTok-KakaoTalk -0.06576271 -1.27484809 1.14332267 1.0000000
## Twitter-KakaoTalk 0.29529412 -0.93104343 1.52163166 0.9997550
## VKontakte-KakaoTalk 1.00000000 -0.67615350 2.67615350 0.7256022
## WeChat-KakaoTalk 0.46666667 -1.12347216 2.05680550 0.9984135
## WhatsApp-KakaoTalk -0.46296296 -1.77327243 0.84734650 0.9919218
## YouTube-KakaoTalk 0.21151515 -1.01604689 1.43907720 0.9999915
## LinkedIn-LINE -1.40340909 -2.62836761 -0.17845057 0.0099593
## Snapchat-LINE -1.95100671 -3.18302908 -0.71898434 0.0000158
## TikTok-LINE -2.06576271 -3.27484809 -0.85667733 0.0000017
## Twitter-LINE -1.70470588 -2.93104343 -0.47836834 0.0003584
## VKontakte-LINE -1.00000000 -2.67615350 0.67615350 0.7256022
## WeChat-LINE -1.53333333 -3.12347216 0.05680550 0.0708600
## WhatsApp-LINE -2.46296296 -3.77327243 -1.15265350 0.0000001
## YouTube-LINE -1.78848485 -3.01604689 -0.56092280 0.0001278
## Snapchat-LinkedIn -0.54759762 -1.00466647 -0.09052877 0.0051963
## TikTok-LinkedIn -0.66235362 -1.05340383 -0.27130341 0.0000022
## Twitter-LinkedIn -0.30129679 -0.74281302 0.14021943 0.5254206
## VKontakte-LinkedIn 0.40340909 -0.82154943 1.62836761 0.9955666
## WeChat-LinkedIn -0.12992424 -1.23426763 0.97441914 0.9999998
## WhatsApp-LinkedIn -1.05955387 -1.69825858 -0.42084916 0.0000042
## YouTube-LinkedIn -0.38507576 -0.82998179 0.05983028 0.1672743
## TikTok-Snapchat -0.11475600 -0.52740116 0.29788916 0.9990343
## Twitter-Snapchat 0.24630083 -0.21445110 0.70705276 0.8447484
## VKontakte-Snapchat 0.95100671 -0.28101566 2.18302908 0.3241190
## WeChat-Snapchat 0.41767338 -0.69450020 1.52984696 0.9866646
## WhatsApp-Snapchat -0.51195625 -1.16410613 0.14019363 0.2982152
## YouTube-Snapchat 0.16252186 -0.30147937 0.62652309 0.9924906
## Twitter-TikTok 0.36105683 -0.03429197 0.75640563 0.1126400
## VKontakte-TikTok 1.06576271 -0.14332267 2.27484809 0.1472046
## WeChat-TikTok 0.53242938 -0.55428052 1.61913928 0.9080698
## WhatsApp-TikTok -0.39720025 -1.00490725 0.21050675 0.5945348
## YouTube-TikTok 0.27727786 -0.12185303 0.67640876 0.4960793
## VKontakte-Twitter 0.70470588 -0.52163166 1.93104343 0.7714043
## WeChat-Twitter 0.17137255 -0.93450028 1.27724538 0.9999972
## WhatsApp-Twitter -0.75825708 -1.39960263 -0.11691154 0.0063443
## YouTube-Twitter -0.08377897 -0.53246793 0.36490999 0.9999807
## WeChat-VKontakte -0.53333333 -2.12347216 1.05680550 0.9948074
## WhatsApp-VKontakte -1.46296296 -2.77327243 -0.15265350 0.0140867
## YouTube-VKontakte -0.78848485 -2.01604689 0.43907720 0.6213953
## WhatsApp-WeChat -0.92962963 -2.12794588 0.26868662 0.3163510
## YouTube-WeChat -0.25515152 -1.36238208 0.85207905 0.9998405
## YouTube-WhatsApp 0.67447811 0.03079426 1.31816197 0.0304242insight: p< 0.05 show a high significant difference between social networks
17 Gender and Academic Performance Impact
17.1 CHI -Test: This test checks whether academic performance impact depends on gender. test for association or dependency usually between 2 categorical variables
Hypotheses Null Hypothesis (H₀) :There is no association between gender and academic performance impact.
Alternative Hypothesis (H₁): There is an association between gender and academic performance impact.
# Contingency table
chi_table <- table(
social_media$Gender,
social_media$Affects_Academic_Performance
)
chi_table##
## No Yes
## Female 336 491
## Male 358 520# Chi-square test
chisq.test(chi_table)##
## Pearson's Chi-squared test with Yates' continuity correction
##
## data: chi_table
## X-squared = 0.00014133, df = 1, p-value = 0.9905No assocaition between gender and academic performance.A Pearson Chi-square test was conducted to determine whether gender is associated with the perceived academic impact of social media usage. The analysis revealed no statistically significant association between gender and academic performance impact, χ²(1) = 0.00014, p = 0.9905. This suggests that male and female students experience similar academic effects from social media usage.
social %>%
count(Affects_Academic_Performance)## Affects_Academic_Performance n
## 1 No 694
## 2 Yes 1011ggplot(social,
aes(x = Avg_Daily_Usage_Hours,
y = Mental_Health_Score,
color = Gender)) +
geom_point(alpha = 0.7) +
geom_smooth(method = "lm",
se = FALSE) +
labs(
title = "Relationship Between Social Media Usage and Mental Health",
x = "Daily Usage Hours",
y = "Mental Health Score"
) +
theme_minimal()
academic_analysis <- social %>%
group_by(Academic_Level) %>%
summarise(
avg_usage = mean(Avg_Daily_Usage_Hours,
na.rm = TRUE),
avg_mental_health = mean(Mental_Health_Score,
na.rm = TRUE),
avg_sleep = mean(Sleep_Hours_Per_Night,
na.rm = TRUE)
)
academic_analysis## # A tibble: 3 × 4
## Academic_Level avg_usage avg_mental_health avg_sleep
## <fct> <dbl> <dbl> <dbl>
## 1 Graduate 4.99 6.27 6.73
## 2 High School 5.28 6.18 6.34
## 3 Undergraduate 5.12 6.18 6.61ggplot(academic_analysis,
aes(x = Academic_Level,
y = avg_usage,
fill = Academic_Level)) +
geom_bar(stat = "identity") +
labs(
title = "Average Usage Across Academic Levels",
x = "Academic Level",
y = "Average Daily Usage"
) +
theme_minimal() +
theme(axis.text.x = element_text(angle = 45,
hjust = 1))
10 Social Media Usage vs Mental Health: The scatterplot helps determine whether increased social media usage is associated with better or worse mental health.
#Sleep Hours vs Social Media Usage
#correlation