9. Exploring the Gapminder Data set#

How to do it#

  1. Import the plotly.express module as px

import plotly.express as px

  1. Load the data set and check its type

gapminder = px.data.gapminder()
type(gapminder)

pandas.core.frame.DataFrame

  1. Inspect the DataFrame using the method head and tail

gapminder.head()
country continent year lifeExp pop gdpPercap iso_alpha iso_num
0 Afghanistan Asia 1952 28.801 8425333 779.445314 AFG 4
1 Afghanistan Asia 1957 30.332 9240934 820.853030 AFG 4
2 Afghanistan Asia 1962 31.997 10267083 853.100710 AFG 4
3 Afghanistan Asia 1967 34.020 11537966 836.197138 AFG 4
4 Afghanistan Asia 1972 36.088 13079460 739.981106 AFG 4 
gapminder.tail()
country continent year lifeExp pop gdpPercap iso_alpha iso_num
1699 Zimbabwe Africa 1987 62.351 9216418 706.157306 ZWE 716
1700 Zimbabwe Africa 1992 60.377 10704340 693.420786 ZWE 716
1701 Zimbabwe Africa 1997 46.809 11404948 792.449960 ZWE 716
1702 Zimbabwe Africa 2002 39.989 11926563 672.038623 ZWE 716
1703 Zimbabwe Africa 2007 43.487 12311143 469.709298 ZWE 716

  1. Use the method describe

gapminder.describe()
year lifeExp pop gdpPercap iso_num
count 1704.00000 1704.000000 1.704000e+03 1704.000000 1704.000000
mean 1979.50000 59.474439 2.960121e+07 7215.327081 425.880282
std 17.26533 12.917107 1.061579e+08 9857.454543 248.305709
min 1952.00000 23.599000 6.001100e+04 241.165876 4.000000
25% 1965.75000 48.198000 2.793664e+06 1202.060309 208.000000
50% 1979.50000 60.712500 7.023596e+06 3531.846989 410.000000
75% 1993.25000 70.845500 1.958522e+07 9325.462346 638.000000
max 2007.00000 82.603000 1.318683e+09 113523.132900 894.000000

  1. Make a scatter plot to visualize the relationship between GDP per capita and Life Expectancy for the oldes and the most recent year (i.e. 1952 and 2007)

fig = px.scatter(gapminder[gapminder.year == 1952], x='gdpPercap', y='lifeExp')
fig.show()

fig = px.scatter(gapminder[gapminder.year == 2007], x='gdpPercap', y='lifeExp')
fig.show()

  1. Enhance the scatter plot by adding color the dots according to the continent.

fig = px.scatter(gapminder[gapminder.year == 2007], x='gdpPercap', y='lifeExp', color='continent')
fig.show()