Exploratory Data Analysis
Prince Kumar
2026-03-29
Introduction
This project perform Exploratory Data Analysis (EDA) to understand the data set using summary statistics and visualization.
Load Dataset
summary(cars)## speed dist
## Min. : 4.0 Min. : 2.00
## 1st Qu.:12.0 1st Qu.: 26.00
## Median :15.0 Median : 36.00
## Mean :15.4 Mean : 42.98
## 3rd Qu.:19.0 3rd Qu.: 56.00
## Max. :25.0 Max. :120.00library(readr)
LifeCycleSavings## sr pop15 pop75 dpi ddpi
## Australia 11.43 29.35 2.87 2329.68 2.87
## Austria 12.07 23.32 4.41 1507.99 3.93
## Belgium 13.17 23.80 4.43 2108.47 3.82
## Bolivia 5.75 41.89 1.67 189.13 0.22
## Brazil 12.88 42.19 0.83 728.47 4.56
## Canada 8.79 31.72 2.85 2982.88 2.43
## Chile 0.60 39.74 1.34 662.86 2.67
## China 11.90 44.75 0.67 289.52 6.51
## Colombia 4.98 46.64 1.06 276.65 3.08
## Costa Rica 10.78 47.64 1.14 471.24 2.80
## Denmark 16.85 24.42 3.93 2496.53 3.99
## Ecuador 3.59 46.31 1.19 287.77 2.19
## Finland 11.24 27.84 2.37 1681.25 4.32
## France 12.64 25.06 4.70 2213.82 4.52
## Germany 12.55 23.31 3.35 2457.12 3.44
## Greece 10.67 25.62 3.10 870.85 6.28
## Guatamala 3.01 46.05 0.87 289.71 1.48
## Honduras 7.70 47.32 0.58 232.44 3.19
## Iceland 1.27 34.03 3.08 1900.10 1.12
## India 9.00 41.31 0.96 88.94 1.54
## Ireland 11.34 31.16 4.19 1139.95 2.99
## Italy 14.28 24.52 3.48 1390.00 3.54
## Japan 21.10 27.01 1.91 1257.28 8.21
## Korea 3.98 41.74 0.91 207.68 5.81
## Luxembourg 10.35 21.80 3.73 2449.39 1.57
## Malta 15.48 32.54 2.47 601.05 8.12
## Norway 10.25 25.95 3.67 2231.03 3.62
## Netherlands 14.65 24.71 3.25 1740.70 7.66
## New Zealand 10.67 32.61 3.17 1487.52 1.76
## Nicaragua 7.30 45.04 1.21 325.54 2.48
## Panama 4.44 43.56 1.20 568.56 3.61
## Paraguay 2.02 41.18 1.05 220.56 1.03
## Peru 12.70 44.19 1.28 400.06 0.67
## Philippines 12.78 46.26 1.12 152.01 2.00
## Portugal 12.49 28.96 2.85 579.51 7.48
## South Africa 11.14 31.94 2.28 651.11 2.19
## South Rhodesia 13.30 31.92 1.52 250.96 2.00
## Spain 11.77 27.74 2.87 768.79 4.35
## Sweden 6.86 21.44 4.54 3299.49 3.01
## Switzerland 14.13 23.49 3.73 2630.96 2.70
## Turkey 5.13 43.42 1.08 389.66 2.96
## Tunisia 2.81 46.12 1.21 249.87 1.13
## United Kingdom 7.81 23.27 4.46 1813.93 2.01
## United States 7.56 29.81 3.43 4001.89 2.45
## Venezuela 9.22 46.40 0.90 813.39 0.53
## Zambia 18.56 45.25 0.56 138.33 5.14
## Jamaica 7.72 41.12 1.73 380.47 10.23
## Uruguay 9.24 28.13 2.72 766.54 1.88
## Libya 8.89 43.69 2.07 123.58 16.71
## Malaysia 4.71 47.20 0.66 242.69 5.08Including Plots
You can also embed plots, for example:
library(ggplot2)
data <- data.frame(x=c(1,2,3,4), y=c(2,4,6,8))
ggplot(data, aes(x=x, y=y)) + geom_line() + geom_point()
Note that the echo = FALSE parameter was added to the code
chunk to prevent printing of the R code that generated the plot.