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-json.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
+        
+        else:
+            
+            # Start JSON string
+            if row[0] == "1":
+                famunit = '['
+            else: 
+                famunit = ''
+            
+            # Add family unit
+            famunit += '{'
+            famunit += '"' + fields[0] + '":' + row[0] + ','  # famindex
+            famunit += '"' + fields[1] + '":' + row[1] + ','  # AGE
+            famunit += '"' + fields[2] + '":' + row[2]         # FTOTINC
+            famunit += '}'
+            
+            # Close set if at end
+            if (row[0] == "200"): 
+                famunit += ']'
+            else:
+                famunit += ','
+            
+            # Print family unit
+            print(famunit)