<jupyter_start><jupyter_text>World Bank VisualizationNow we will recreate the visualization for internet usage using the world bank data.  Import the dataFirst we import and examine the data.<jupyter_code>import altair as alt
import pandas as pd
# Uncomment/run this line to enable Altair in the notebook (not JupyterLab):
alt.renderers.enable('notebook')
world = pd.read_csv("../data/World_Bank.csv")
world.head()<jupyter_output><empty_output><jupyter_text>Fixing the header namesWhile communicating a lot of information, those long header names will be troublesome.  Let's import a csv with shorter and easier to use names.<jupyter_code>world_short = pd.read_csv("../data/World_Bank_Short_Names.csv")
world_short.head()<jupyter_output><empty_output><jupyter_text>Plot 1 - Three Way Scatter PlotHere is the specification for the scatterplot.<jupyter_code>alt.Chart(world_short).mark_point().encode(
    x = "Internet_users_per_100"
)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.08817427385892117, 'fraction_numerical': 0.004149377593360996, 'mean_word_length': 6.658730158730159, 'pattern_counts': {'":': 0, '<': 13, '<?xml version=': 0, '>': 13, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
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