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/convert-csv-to-xml.py

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+import csv
+
+fields = None
+with open('income-scraped.csv') as csvfile:
+        
+    reader = csv.reader(csvfile, delimiter=",")
+    for row in reader:
+
+        # Save header variables
+        if fields == None:
+            fields = row
+            print('<?xml version="1.0" encoding="UTF-8"?>')
+            print("<rows>")
+        else:
+            
+            # Add family unit
+            famunit = '<row>'
+            famunit += '<' + fields[0] + '>' + row[0] + '</' + fields[0] + '>'  # famindex
+            famunit += '<' + fields[1] + '>' + row[1] + '</' + fields[1] + '>'  # AGE
+            famunit += '<' + fields[2] + '>' + row[2] + '</' + fields[2] + '>'  # FTOTINC
+            famunit += '</row>'
+            
+            # Print family unit
+            print(famunit)
+            
+    print("</rows>")