#i Created the dataset based on my screen time data in the phone
screen_time_data <- data.frame(
  Week = c(40, 41, 42, 43),
  Week_Date = c("28 Sep - 4 Oct", "5 Oct - 11 Oct", "12 Oct - 18 Oct", "19 Oct - 25 Oct"),
  Total_Screen_Time_Minutes = c(27*60 + 1, 50*60 + 43, 49*60 + 3, 53*60 + 38),
  Daily_Average_Minutes = c(6*60 + 45, 7*60 + 14, 7*60 + 0, 7*60 + 39),
  Instagram_Minutes = c(NA, 29*60 + 28, NA, 32*60 + 16),
  WhatsApp_Minutes = c(NA, 5*60 + 23, NA, 5*60 + 55),
  YouTube_Minutes = c(NA, 4*60 + 23, NA, NA),
  Chrome_Minutes = c(NA, NA, NA, 3*60 + 48),
  Social_Category_Minutes = c(NA, NA, NA, 44*60 + 30)
)

# Calculate additional metrics
screen_time_data$Total_Hours <- round(screen_time_data$Total_Screen_Time_Minutes / 60, 1)
screen_time_data$Daily_Hours <- round(screen_time_data$Daily_Average_Minutes / 60, 1)

# Save the dataset
write.csv(screen_time_data, "my_actual_screen_time.csv", row.names = FALSE)

#importing all libraries required

library(ggplot2)
library(dplyr)

## 
## Attaching package: 'dplyr'

## The following objects are masked from 'package:stats':
## 
##     filter, lag

## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union

library(tidyr)
library(scales)
library(lubridate)

## 
## Attaching package: 'lubridate'

## The following objects are masked from 'package:base':
## 
##     date, intersect, setdiff, union

knitr::opts_chunk$set(echo = FALSE, warning = FALSE, message = FALSE)
# Read the actual data
my_data <- read.csv("my_actual_screen_time.csv")

after 4 week i had a shocking realisation

#simple graph about my screen time explosion how it went up in these four weeks.

# I observed that these is A 98 % percentage increase in 4 weeks

#i tried to undersatand what made me so addicted to my phone screen

simple pie chart

# I found the culprit . that is instagram!!. i wasted all my time on instagram.

#Instagram alone consumed instagram_week 43 hours** in Week 43 of my entire screen time!

Daily Impact: When Life Became Digital

these are the hours per day i spent in a week

#My phone time rivaled both sleep and my work. my balance was completely broken de to that.

App Breakdown: The Digital Ecosystem

Instagram wasn’t alone - it had accomplices like whats app and chrome.

#Bar graph

#72.5% of my social media time was just Instagram .the algorithm had me completely hooked

i started to wonder what else could i have done in that time

so these are all the things i could have done instead of watching reels on instagram like exercise, learning guiter, cooking etc

My Digital solution Action Plan

**The Hard Truths:

Instagram consumed more than any app in most of the hours/week of my life
My screen time almost doubled in one month from 27h to→ 54h
60% of all app usage was just one platform and that was insta.

MY Recovery Plan:

Instagram Limit:i will use only 1 hour/day maximum that will be 7h/week - 78% reduction
Digital Curfew: No phone usage after 10 PM
App Blocking: restrict the Use by using rest mode during study hours
Weeklyatatus check: 15-minute screen time review every Sunday
Replacement Activities: Read physical books during previous scroll time

My Instagram Addiction: My phone screen time analysis

2025-10-28