Add VT2-examples: all 6 chapters of 'Visualize This' (110 files) — data scraping, ETL, trends, categorical, multivariate, spatial, distribution analysis

VT2-examples/vt2-ch3-codedata-dir/process-income.py

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+import numpy as np
+import pandas as pd
+
+
+# Load CSV
+people = pd.read_csv('income-scraped.csv')
+
+# See first rows.
+people.head()
+
+# Subset.
+over40 = people[people.AGE > 40]
+over40.head()
+
+# New column.
+people['isover40'] = people['AGE'] > 40
+people['agegrp'] = (people['AGE'] / 10).apply(np.floor) * 10
+
+
+# Median.
+people['FTOTINC'].median()
+
+
+# Grouped median.
+people.groupby(['isover40'])['FTOTINC'].median()
+people.groupby(['agegrp'])['FTOTINC'].median()