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.idea
RealEstate
data
.gitignore
2015_School_Letter_Grades_Spreadsheet.xlsx
GeoJSON_testing.py
Parent_Handout_4_4_2016.pdf
README.md
REST-countries.py
ar_correlations.py
ar_correlations_to_pdf.py
arheatmap.html
arheatmap.py
arschooldf.py
arschools.html
arschoolsACT.ipynb
arschools_act.html
arschools_act.py
arschools_class_size.html
arschools_class_size.py
arschools_econdis.html
arschools_econdis.py
arschools_econdiseffect.html
arschools_econdiseffect.py
arschools_rating.html
arschools_rating.py
arschools_spending.html
arschools_spending.py
bar.html
bokeh_barchart_labels_SO.py
bokeh_color_scatter.html
bokeh_color_scatter.py
bokeh_datestats_SO.py
bokeh_quickstart.py
bokeh_test.py
crossfilter.py
csv_file_line_reader.py
csv_to_list_of_dicts.py
define_database_table.py
encode_pydatetime_to_json.py
examine_avcomp.ipynb
examine_econdis.ipynb
examine_rating.ipynb
examine_spending.ipynb
fizzbuzz.py
geocodingtest.py
geojsontest.html
googlemaps_testing.py
heatmap.html
heatmaptest.py
histogram_demo_features.py
makeURL_OECD.py
mappingtest.py
passing_data.py
read_json.py
sql_start.py
using_csv_module.py
write_json.py

README.md

Python and JavaScript Data Visualization - "pyjsviz"

I started this repository for Data Visualization using a [Python Dataviz book] (http://shop.oreilly.com/product/0636920037057.do).

It has morphed into a repo to play with Data Visualization more generally. Lately Bokeh.

Bokeh Stuff here

Bokeh chart output is [presented here] (http://pyjsviz.benlove.info/).

Will add stuff about the wrangling here

Wrangling stuff

Sources

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