A. What topics, ideas, or problems bring you back again and again, even when no one asks you to study them?

I find it interesting how people interact with technology. As AI becomes more pervasive in society, I wonder how it might affect child development, especially if children begin relying on it during critical developmental periods. It is also interesting to see how design choices in technology can influence user behavior.

B. Demonstrate that you can load the pokemon.RData file successfully and reveal the structure of the data frame it contains.

# Load pokemon dataset
load("pokemon.RData")

# Display the structure of the data frame
str(pokemon_df)
## Classes 'tbl_df', 'tbl' and 'data.frame':    949 obs. of  22 variables:
##  $ id             : num  1 2 3 4 5 6 7 8 9 10 ...
##  $ pokemon        : chr  "bulbasaur" "ivysaur" "venusaur" "charmander" ...
##  $ species_id     : num  1 2 3 4 5 6 7 8 9 10 ...
##  $ height         : num  0.7 1 2 0.6 1.1 1.7 0.5 1 1.6 0.3 ...
##  $ weight         : num  6.9 13 100 8.5 19 90.5 9 22.5 85.5 2.9 ...
##  $ base_experience: num  64 142 236 62 142 240 63 142 239 39 ...
##  $ type_1         : chr  "grass" "grass" "grass" "fire" ...
##  $ type_2         : chr  "poison" "poison" "poison" NA ...
##  $ hp             : num  45 60 80 39 58 78 44 59 79 45 ...
##  $ attack         : num  49 62 82 52 64 84 48 63 83 30 ...
##  $ defense        : num  49 63 83 43 58 78 65 80 100 35 ...
##  $ special_attack : num  65 80 100 60 80 109 50 65 85 20 ...
##  $ special_defense: num  65 80 100 50 65 85 64 80 105 20 ...
##  $ speed          : num  45 60 80 65 80 100 43 58 78 45 ...
##  $ color_1        : chr  "#78C850" "#78C850" "#78C850" "#F08030" ...
##  $ color_2        : chr  "#A040A0" "#A040A0" "#A040A0" NA ...
##  $ color_f        : chr  "#81A763" "#81A763" "#81A763" NA ...
##  $ egg_group_1    : chr  "monster" "monster" "monster" "monster" ...
##  $ egg_group_2    : chr  "plant" "plant" "plant" "dragon" ...
##  $ url_icon       : chr  "//archives.bulbagarden.net/media/upload/7/7b/001MS6.png" "//archives.bulbagarden.net/media/upload/a/a0/002MS6.png" "//archives.bulbagarden.net/media/upload/0/07/003MS6.png" "//archives.bulbagarden.net/media/upload/7/7d/004MS6.png" ...
##  $ generation_id  : num  1 1 1 1 1 1 1 1 1 1 ...
##  $ url_image      : chr  "https://raw.githubusercontent.com/HybridShivam/Pokemon/master/assets/images/001.png" "https://raw.githubusercontent.com/HybridShivam/Pokemon/master/assets/images/002.png" "https://raw.githubusercontent.com/HybridShivam/Pokemon/master/assets/images/003.png" "https://raw.githubusercontent.com/HybridShivam/Pokemon/master/assets/images/004.png" ...

C. Please generate a basic plot using R using the pokemon data frame.

# Create scatterplot of Pokemon's height vs weight 
plot(pokemon_df$height, pokemon_df$weight,
     main = "Height vs Weight",
     xlab = "Height",
     ylab = "Weight",
     pch = 19, # use solid circles for points
     col = "blue" # set point color to blue
     )

D. Please produce a table of either some summary statistics or a subset of the pokemon dataframe.

# Summary of dataset 
summary(pokemon_df)
##        id          pokemon            species_id        height      
##  Min.   :    1   Length:949         Min.   :  1.0   Min.   : 0.100  
##  1st Qu.:  238   Class :character   1st Qu.:191.0   1st Qu.: 0.500  
##  Median :  475   Mode  :character   Median :395.0   Median : 1.000  
##  Mean   : 1900                      Mean   :400.1   Mean   : 1.228  
##  3rd Qu.:  712                      3rd Qu.:615.0   3rd Qu.: 1.500  
##  Max.   :10147                      Max.   :802.0   Max.   :14.500  
##                                                                     
##      weight       base_experience    type_1             type_2         
##  Min.   :  0.10   Min.   : 36.0   Length:949         Length:949        
##  1st Qu.:  8.50   1st Qu.: 68.0   Class :character   Class :character  
##  Median : 28.80   Median :157.0   Mode  :character   Mode  :character  
##  Mean   : 66.21   Mean   :150.5                                        
##  3rd Qu.: 66.60   3rd Qu.:184.0                                        
##  Max.   :999.90   Max.   :608.0                                        
##                                                                        
##        hp             attack          defense       special_attack  
##  Min.   :  1.00   Min.   :  5.00   Min.   :  5.00   Min.   : 10.00  
##  1st Qu.: 50.00   1st Qu.: 55.00   1st Qu.: 50.00   1st Qu.: 50.00  
##  Median : 65.00   Median : 75.00   Median : 70.00   Median : 65.00  
##  Mean   : 68.95   Mean   : 79.47   Mean   : 74.07   Mean   : 72.81  
##  3rd Qu.: 80.00   3rd Qu.:100.00   3rd Qu.: 90.00   3rd Qu.: 95.00  
##  Max.   :255.00   Max.   :190.00   Max.   :230.00   Max.   :194.00  
##                                                                     
##  special_defense      speed          color_1            color_2         
##  Min.   : 20.00   Min.   :  5.00   Length:949         Length:949        
##  1st Qu.: 50.00   1st Qu.: 45.00   Class :character   Class :character  
##  Median : 70.00   Median : 65.00   Mode  :character   Mode  :character  
##  Mean   : 72.22   Mean   : 69.02                                        
##  3rd Qu.: 90.00   3rd Qu.: 90.00                                        
##  Max.   :230.00   Max.   :180.00                                        
##                                                                         
##    color_f          egg_group_1        egg_group_2          url_icon        
##  Length:949         Length:949         Length:949         Length:949        
##  Class :character   Class :character   Class :character   Class :character  
##  Mode  :character   Mode  :character   Mode  :character   Mode  :character  
##                                                                             
##                                                                             
##                                                                             
##                                                                             
##  generation_id    url_image        
##  Min.   :1.000   Length:949        
##  1st Qu.:2.000   Class :character  
##  Median :4.000   Mode  :character  
##  Mean   :3.695                     
##  3rd Qu.:5.000                     
##  Max.   :7.000                     
##  NA's   :147

E. Please include an image in your document.

TikTok Nap Emoji
TikTok Nap Emoji

F. Please demonstrate that you are able to extract a single numeric vector from the Pokemon data frame and apply a simple calculation to it.

# Calculate the median defense value
median(pokemon_df$defense, na.rm = TRUE)
## [1] 70

G. Please demonstrate that you are able to apply a minimum of two different mathematical operations to any single NUMERIC vector from the Pokemon data frame.

# Assign height variable to height_vector
height_vector <- pokemon_df$height

# Operation 1: Multiply by a constant of 2 
height_times_two <- height_vector * 2

# Operation 2: Add a constant of 1 
height_plus_one <- height_vector + 1 

# Print values
height_times_two
##   [1]  1.4  2.0  4.0  1.2  2.2  3.4  1.0  2.0  3.2  0.6  1.4  2.2  0.6  1.2  2.0
##  [16]  0.6  2.2  3.0  0.6  1.4  0.6  2.4  4.0  7.0  0.8  1.6  1.2  2.0  0.8  1.6
##  [31]  2.6  1.0  1.8  2.8  1.2  2.6  1.2  2.2  1.0  2.0  1.6  3.2  1.0  1.6  2.4
##  [46]  0.6  2.0  2.0  3.0  0.4  1.4  0.8  2.0  1.6  3.4  1.0  2.0  1.4  3.8  1.2
##  [61]  2.0  2.6  1.8  2.6  3.0  1.6  3.0  3.2  1.4  2.0  3.4  1.8  3.2  0.8  2.0
##  [76]  2.8  2.0  3.4  2.4  3.2  0.6  2.0  1.6  2.8  3.6  2.2  3.4  1.8  2.4  0.6
##  [91]  3.0  2.6  3.2  3.0 17.6  2.0  3.2  0.8  2.6  1.0  2.4  0.8  4.0  0.8  2.0
## [106]  3.0  2.8  2.4  1.2  2.4  2.0  3.8  2.2  2.0  4.4  0.8  2.4  1.2  2.6  1.6
## [121]  2.2  2.6  3.0  2.8  2.2  2.6  3.0  2.8  1.8 13.0  5.0  0.6  0.6  2.0  1.6
## [136]  1.8  1.6  0.8  2.0  1.0  2.6  3.6  4.2  3.4  3.2  4.0  3.6  8.0  4.4  4.0
## [151]  0.8  1.8  2.4  3.6  1.0  1.8  3.4  1.2  2.2  4.6  1.6  3.6  1.4  3.2  2.0
## [166]  2.8  1.0  2.2  3.6  1.0  2.4  0.6  0.6  0.6  0.6  1.2  0.4  3.0  1.2  1.6
## [181]  2.8  0.8  0.8  1.6  2.4  2.2  0.8  1.2  1.6  1.6  0.6  1.6  2.4  0.8  2.8
## [196]  1.8  2.0  1.0  4.0  1.4  1.0  2.6  3.0  1.2  2.4  3.0  2.2 18.4  1.2  2.8
## [211]  1.0  3.6  1.2  3.0  1.8  1.2  3.6  1.4  1.6  0.8  2.2  1.2  1.2  1.8  1.8
## [226]  4.2  3.4  1.2  2.8  3.6  1.0  2.2  1.2  2.8  2.4  1.4  2.8  0.8  1.2  1.4
## [241]  2.4  3.0  3.8  4.2  4.0  1.2  2.4  4.0 10.4  7.6  1.2  1.0  1.8  3.4  0.8
## [256]  1.8  3.8  0.8  1.4  3.0  1.0  2.0  0.8  1.0  0.6  1.2  2.0  1.4  2.4  1.0
## [271]  2.4  3.0  1.0  2.0  2.6  0.6  1.4  1.2  2.4  0.8  1.6  3.2  1.0  1.6  0.8
## [286]  2.4  1.6  2.8  4.0  1.0  1.6  1.6  1.2  2.0  3.0  2.0  4.6  0.4  2.0  1.2
## [301]  2.2  1.0  1.2  0.8  1.8  4.2  1.2  2.6  1.2  3.0  0.8  0.8  1.4  1.2  0.6
## [316]  0.8  3.4  1.6  3.6  4.0 29.0  1.4  3.8  1.0  1.4  1.8  2.2  1.4  2.2  4.0
## [331]  0.8  2.6  0.8  2.2  2.6  5.4  2.0  2.4  0.8  1.8  1.2  2.2  1.0  3.0  2.0
## [346]  3.0  1.4  3.0  1.2 12.4  0.6  2.0  1.2  2.2  1.6  3.2  4.0  1.2  2.4  1.2
## [361]  1.4  3.0  1.6  2.2  2.8  0.8  3.4  3.6  2.0  1.2  1.2  2.2  3.0  1.2  2.4
## [376]  3.2  3.4  3.6  3.8  2.8  4.0  9.0  7.0 14.0  0.6  3.4  0.8  2.2  4.4  1.0
## [391]  1.8  2.4  0.8  1.6  3.4  0.6  1.2  2.4  1.0  2.0  0.6  2.0  1.0  1.8  2.8
## [406]  0.4  1.8  1.8  3.2  1.0  2.6  0.4  1.0  1.8  0.6  2.4  0.8  1.4  2.2  0.8
## [421]  1.0  0.6  1.8  2.4  0.8  2.4  0.8  2.4  1.8  1.8  1.0  2.0  0.4  0.8  2.0
## [436]  1.0  2.6  1.0  1.2  1.2  1.0  2.0  1.4  2.8  3.8  1.2  1.4  2.4  1.6  4.0
## [451]  1.6  2.6  1.4  2.6  2.8  0.8  2.4  2.0  2.0  4.4  2.2  2.4  3.4  4.8  4.0
## [466]  3.6  3.2  3.0  3.8  2.0  1.6  4.0  5.0  1.8  3.2  2.8  4.4  2.6  0.6  0.6
## [481]  0.6  0.6 10.8  8.4  3.4  7.4  9.0  3.0  0.8  0.6  3.0  0.4  6.4  0.8  1.2
## [496]  1.6  6.6  1.0  2.0  3.2  1.0  1.6  3.0  1.0  2.2  0.8  1.8  2.4  0.8  2.2
## [511]  1.2  2.2  1.2  2.0  1.2  2.0  1.2  2.2  0.6  1.2  2.4  1.6  3.2  0.8  1.8
## [526]  3.4  0.8  1.8  0.6  1.4  2.2  1.2  2.4  2.8  1.0  1.6  3.0  2.6  2.8  0.6
## [541]  1.0  2.4  0.8  2.4  5.0  0.6  1.4  1.0  2.2  2.0  1.4  2.0  3.0  1.2  2.6
## [556]  2.0  0.6  2.8  1.2  2.2  2.8  1.0  3.4  1.4  2.4  1.0  2.8  1.2  3.8  1.4
## [571]  3.2  0.8  1.0  0.8  1.4  3.0  0.6  1.2  2.0  1.0  2.6  0.8  2.2  2.6  1.2
## [586]  3.8  0.8  1.0  2.0  0.4  1.2  2.4  4.4  2.4  0.2  1.6  1.2  2.0  0.6  1.2
## [601]  1.2  0.4  2.4  4.2  1.0  2.0  0.6  1.2  2.0  1.2  2.0  3.6  1.0  5.2  2.2
## [616]  0.8  1.6  1.4  1.8  2.8  3.2  2.0  5.6  1.0  3.2  3.2  1.0  3.0  1.0  2.4
## [631]  2.8  0.6  1.6  2.8  3.6  2.2  3.2  4.2  3.8  4.0  3.0  3.0  6.4  5.8  3.0
## [646]  6.0  2.8  1.2  3.0  0.8  1.4  3.2  0.8  2.0  3.0  0.6  1.2  3.0  0.8  2.0
## [661]  0.6  1.4  2.4  0.6  0.6  2.4  1.2  3.0  0.2  0.4  2.2  1.8  3.4  1.2  4.2
## [676]  2.4  0.6  1.2  1.6  1.6  3.4  0.4  1.6  0.8  1.6  0.8  3.0  1.0  2.6  1.0
## [691]  3.6  1.0  2.6  1.0  2.0  1.6  5.0  2.6  5.4  2.0  1.6  0.4  0.6  0.6  1.6
## [706]  4.0  0.4  0.8  3.0  0.8  1.8  2.0  4.0  1.0  3.0  6.0 11.6 10.0  1.4  1.0
## [721]  3.4  0.6  1.4  3.2  0.8  1.4  3.6  0.8  1.2  3.6  0.6  1.2  2.2  0.8  1.4
## [736]  0.8  1.0  3.0  1.2  3.4  1.2  0.2  0.4  1.0  1.6  0.4  0.8  1.4  2.0  5.0
## [751]  0.6  3.6  0.6  1.8  0.4  2.0  1.2  2.4  1.0  4.2  0.6  1.4  2.4  0.2  3.0
## [766]  4.0  1.0  4.0  1.0  2.6  0.6  3.8  4.6  0.6  0.8  4.0  0.6  0.4  1.8  6.0
## [781]  7.8  1.2  2.4  3.2  3.6  2.4  3.8  2.6  0.4  0.2  6.8  8.0  2.4  4.8  3.6
## [796]  7.6 18.4  0.6 11.0  4.8  2.0  1.4  3.4  3.4  3.4  1.0  1.0  0.8 13.8  0.6
## [811]  0.6  0.6  0.6  0.6  0.6  0.6  0.6  2.0  2.6  1.2  2.8  6.0  2.6  6.6  7.2
## [826]  2.8  1.2  3.4  0.6  1.0  1.6  1.4  2.2  3.4  4.8  3.4  3.4  3.2  2.4  2.8
## [841]  4.4  3.4 13.0  4.2  4.6  3.0  2.8  4.0  3.4  3.8  5.0  3.8  3.2  2.0  4.4
## [856]  2.6  3.6  2.4  2.4  3.8  2.6  5.4  0.4  3.6  4.6  3.8  3.8  1.0  3.0  3.2
## [871]  3.0  5.0  4.0 21.0  4.4  4.2  2.2  5.0 19.6 10.0 21.6  0.8  0.8  0.8  0.8
## [886]  0.8  0.8 13.0  5.0  2.6  3.6  2.8  0.6  1.4  2.8  0.8  0.8  0.8  0.8  0.8
## [901]  0.8  1.4  1.4  2.4  1.2  2.2  0.4  1.4  0.8  2.2  0.8  2.0  3.4  1.4  2.0
## [916] 21.8  2.0  3.0  3.0  2.4 10.0  9.0  2.8  5.2  1.2  1.2  1.2  2.2 16.4  3.0
## [931]  4.2  0.6  0.6  0.6  0.6  0.6  0.6  0.6  0.6  0.6  0.6  0.6  0.6  0.6  0.4
## [946]  0.8  0.8  4.8  2.0
height_plus_one
##   [1]  1.7  2.0  3.0  1.6  2.1  2.7  1.5  2.0  2.6  1.3  1.7  2.1  1.3  1.6  2.0
##  [16]  1.3  2.1  2.5  1.3  1.7  1.3  2.2  3.0  4.5  1.4  1.8  1.6  2.0  1.4  1.8
##  [31]  2.3  1.5  1.9  2.4  1.6  2.3  1.6  2.1  1.5  2.0  1.8  2.6  1.5  1.8  2.2
##  [46]  1.3  2.0  2.0  2.5  1.2  1.7  1.4  2.0  1.8  2.7  1.5  2.0  1.7  2.9  1.6
##  [61]  2.0  2.3  1.9  2.3  2.5  1.8  2.5  2.6  1.7  2.0  2.7  1.9  2.6  1.4  2.0
##  [76]  2.4  2.0  2.7  2.2  2.6  1.3  2.0  1.8  2.4  2.8  2.1  2.7  1.9  2.2  1.3
##  [91]  2.5  2.3  2.6  2.5  9.8  2.0  2.6  1.4  2.3  1.5  2.2  1.4  3.0  1.4  2.0
## [106]  2.5  2.4  2.2  1.6  2.2  2.0  2.9  2.1  2.0  3.2  1.4  2.2  1.6  2.3  1.8
## [121]  2.1  2.3  2.5  2.4  2.1  2.3  2.5  2.4  1.9  7.5  3.5  1.3  1.3  2.0  1.8
## [136]  1.9  1.8  1.4  2.0  1.5  2.3  2.8  3.1  2.7  2.6  3.0  2.8  5.0  3.2  3.0
## [151]  1.4  1.9  2.2  2.8  1.5  1.9  2.7  1.6  2.1  3.3  1.8  2.8  1.7  2.6  2.0
## [166]  2.4  1.5  2.1  2.8  1.5  2.2  1.3  1.3  1.3  1.3  1.6  1.2  2.5  1.6  1.8
## [181]  2.4  1.4  1.4  1.8  2.2  2.1  1.4  1.6  1.8  1.8  1.3  1.8  2.2  1.4  2.4
## [196]  1.9  2.0  1.5  3.0  1.7  1.5  2.3  2.5  1.6  2.2  2.5  2.1 10.2  1.6  2.4
## [211]  1.5  2.8  1.6  2.5  1.9  1.6  2.8  1.7  1.8  1.4  2.1  1.6  1.6  1.9  1.9
## [226]  3.1  2.7  1.6  2.4  2.8  1.5  2.1  1.6  2.4  2.2  1.7  2.4  1.4  1.6  1.7
## [241]  2.2  2.5  2.9  3.1  3.0  1.6  2.2  3.0  6.2  4.8  1.6  1.5  1.9  2.7  1.4
## [256]  1.9  2.9  1.4  1.7  2.5  1.5  2.0  1.4  1.5  1.3  1.6  2.0  1.7  2.2  1.5
## [271]  2.2  2.5  1.5  2.0  2.3  1.3  1.7  1.6  2.2  1.4  1.8  2.6  1.5  1.8  1.4
## [286]  2.2  1.8  2.4  3.0  1.5  1.8  1.8  1.6  2.0  2.5  2.0  3.3  1.2  2.0  1.6
## [301]  2.1  1.5  1.6  1.4  1.9  3.1  1.6  2.3  1.6  2.5  1.4  1.4  1.7  1.6  1.3
## [316]  1.4  2.7  1.8  2.8  3.0 15.5  1.7  2.9  1.5  1.7  1.9  2.1  1.7  2.1  3.0
## [331]  1.4  2.3  1.4  2.1  2.3  3.7  2.0  2.2  1.4  1.9  1.6  2.1  1.5  2.5  2.0
## [346]  2.5  1.7  2.5  1.6  7.2  1.3  2.0  1.6  2.1  1.8  2.6  3.0  1.6  2.2  1.6
## [361]  1.7  2.5  1.8  2.1  2.4  1.4  2.7  2.8  2.0  1.6  1.6  2.1  2.5  1.6  2.2
## [376]  2.6  2.7  2.8  2.9  2.4  3.0  5.5  4.5  8.0  1.3  2.7  1.4  2.1  3.2  1.5
## [391]  1.9  2.2  1.4  1.8  2.7  1.3  1.6  2.2  1.5  2.0  1.3  2.0  1.5  1.9  2.4
## [406]  1.2  1.9  1.9  2.6  1.5  2.3  1.2  1.5  1.9  1.3  2.2  1.4  1.7  2.1  1.4
## [421]  1.5  1.3  1.9  2.2  1.4  2.2  1.4  2.2  1.9  1.9  1.5  2.0  1.2  1.4  2.0
## [436]  1.5  2.3  1.5  1.6  1.6  1.5  2.0  1.7  2.4  2.9  1.6  1.7  2.2  1.8  3.0
## [451]  1.8  2.3  1.7  2.3  2.4  1.4  2.2  2.0  2.0  3.2  2.1  2.2  2.7  3.4  3.0
## [466]  2.8  2.6  2.5  2.9  2.0  1.8  3.0  3.5  1.9  2.6  2.4  3.2  2.3  1.3  1.3
## [481]  1.3  1.3  6.4  5.2  2.7  4.7  5.5  2.5  1.4  1.3  2.5  1.2  4.2  1.4  1.6
## [496]  1.8  4.3  1.5  2.0  2.6  1.5  1.8  2.5  1.5  2.1  1.4  1.9  2.2  1.4  2.1
## [511]  1.6  2.1  1.6  2.0  1.6  2.0  1.6  2.1  1.3  1.6  2.2  1.8  2.6  1.4  1.9
## [526]  2.7  1.4  1.9  1.3  1.7  2.1  1.6  2.2  2.4  1.5  1.8  2.5  2.3  2.4  1.3
## [541]  1.5  2.2  1.4  2.2  3.5  1.3  1.7  1.5  2.1  2.0  1.7  2.0  2.5  1.6  2.3
## [556]  2.0  1.3  2.4  1.6  2.1  2.4  1.5  2.7  1.7  2.2  1.5  2.4  1.6  2.9  1.7
## [571]  2.6  1.4  1.5  1.4  1.7  2.5  1.3  1.6  2.0  1.5  2.3  1.4  2.1  2.3  1.6
## [586]  2.9  1.4  1.5  2.0  1.2  1.6  2.2  3.2  2.2  1.1  1.8  1.6  2.0  1.3  1.6
## [601]  1.6  1.2  2.2  3.1  1.5  2.0  1.3  1.6  2.0  1.6  2.0  2.8  1.5  3.6  2.1
## [616]  1.4  1.8  1.7  1.9  2.4  2.6  2.0  3.8  1.5  2.6  2.6  1.5  2.5  1.5  2.2
## [631]  2.4  1.3  1.8  2.4  2.8  2.1  2.6  3.1  2.9  3.0  2.5  2.5  4.2  3.9  2.5
## [646]  4.0  2.4  1.6  2.5  1.4  1.7  2.6  1.4  2.0  2.5  1.3  1.6  2.5  1.4  2.0
## [661]  1.3  1.7  2.2  1.3  1.3  2.2  1.6  2.5  1.1  1.2  2.1  1.9  2.7  1.6  3.1
## [676]  2.2  1.3  1.6  1.8  1.8  2.7  1.2  1.8  1.4  1.8  1.4  2.5  1.5  2.3  1.5
## [691]  2.8  1.5  2.3  1.5  2.0  1.8  3.5  2.3  3.7  2.0  1.8  1.2  1.3  1.3  1.8
## [706]  3.0  1.2  1.4  2.5  1.4  1.9  2.0  3.0  1.5  2.5  4.0  6.8  6.0  1.7  1.5
## [721]  2.7  1.3  1.7  2.6  1.4  1.7  2.8  1.4  1.6  2.8  1.3  1.6  2.1  1.4  1.7
## [736]  1.4  1.5  2.5  1.6  2.7  1.6  1.1  1.2  1.5  1.8  1.2  1.4  1.7  2.0  3.5
## [751]  1.3  2.8  1.3  1.9  1.2  2.0  1.6  2.2  1.5  3.1  1.3  1.7  2.2  1.1  2.5
## [766]  3.0  1.5  3.0  1.5  2.3  1.3  2.9  3.3  1.3  1.4  3.0  1.3  1.2  1.9  4.0
## [781]  4.9  1.6  2.2  2.6  2.8  2.2  2.9  2.3  1.2  1.1  4.4  5.0  2.2  3.4  2.8
## [796]  4.8 10.2  1.3  6.5  3.4  2.0  1.7  2.7  2.7  2.7  1.5  1.5  1.4  7.9  1.3
## [811]  1.3  1.3  1.3  1.3  1.3  1.3  1.3  2.0  2.3  1.6  2.4  4.0  2.3  4.3  4.6
## [826]  2.4  1.6  2.7  1.3  1.5  1.8  1.7  2.1  2.7  3.4  2.7  2.7  2.6  2.2  2.4
## [841]  3.2  2.7  7.5  3.1  3.3  2.5  2.4  3.0  2.7  2.9  3.5  2.9  2.6  2.0  3.2
## [856]  2.3  2.8  2.2  2.2  2.9  2.3  3.7  1.2  2.8  3.3  2.9  2.9  1.5  2.5  2.6
## [871]  2.5  3.5  3.0 11.5  3.2  3.1  2.1  3.5 10.8  6.0 11.8  1.4  1.4  1.4  1.4
## [886]  1.4  1.4  7.5  3.5  2.3  2.8  2.4  1.3  1.7  2.4  1.4  1.4  1.4  1.4  1.4
## [901]  1.4  1.7  1.7  2.2  1.6  2.1  1.2  1.7  1.4  2.1  1.4  2.0  2.7  1.7  2.0
## [916] 11.9  2.0  2.5  2.5  2.2  6.0  5.5  2.4  3.6  1.6  1.6  1.6  2.1  9.2  2.5
## [931]  3.1  1.3  1.3  1.3  1.3  1.3  1.3  1.3  1.3  1.3  1.3  1.3  1.3  1.3  1.2
## [946]  1.4  1.4  3.4  2.0