7. Avoiding Common Pitfalls to Create Interactive Visualizations

Activity 7: Determining Which Features to Visualize on a Scatter Plot

Solution

1. Navigate to the folder where you have stored the .csv files and initiate a Jupyter Notebook.
2. Import pandas, numpy, and plotly.express:

   import pandas as pd
   import numpy as np
   import plotly.express as px

3. Create the same DataFrame, but instead of including only the gdp column from the gm DataFrame, include the population, fertility, and life columns as well:

   co2 = pd.read_csv('co2.csv')
   gm = pd.read_csv('gapminder.csv')
   df_gm = gm[['Country', 'region']].drop_duplicates()
   df_w_regions = pd.merge(co2, df_gm, left_on='country', right_on='Country', how='inner')
   df_w_regions = df_w_regions.drop('Country', axis='columns')
   new_co2 = pd.melt(df_w_regions, id_vars=['country', 'region'])
   columns = ['country', 'region...