- Manually collected the points of murals in three neighborhoods
- The three neighborhoods were: Old North St. Louis, Covenant Blu Grand Center, Forest Park Southeast
- Used geojson.io to plot the relative locations of the murals
- Downloaded a shpfile containing the neighborhoods boundaries from the City of St. Louis' open data portal
- Exported a separate geojson of each of the three neighborhoods in QGIS
- Imported the neighborhood boundaries and the points for each neighborhood into their own graphic in Datawrapper: 1, 2, 3
- Created the bike route in Google My Maps and exported as a KML, save to geojson
- Each part of the route in Google My Maps needed to be its own individual segment
- Export the chart without headers or background from Datawrapper into Illustrator
- Imported SVG file from Datawrapper
- Ungrouped all the layers
- Re-organized the contents into four layers: ai2html-settings, interactions:svg, furniture and basemap
- Export the artboard using ai2html
- Add the following settings to ai2html export:
inline_svg: true,png_transparent: yes - For static graphics, added the SVG output to the story
- For the scrollytelling portion, copy and pasted ai2html output into story and used Scrollama to animate features
- Analysis used in the story can be found in
analysis.ipynb - Crime data scraped from the St. Louis Post-Dispatch's crime tracker using Selenium
- Census data scraped from the City of St. Louis using BeautifulSoup
- Walkability data scraped from Walk Score using BeautifulSoup
- Percent of race in a neighborhood: ((pct_group - total population of neighborhood) / total population of neighborhood ) * 100
- Murals per capita: (num_murals / total population of neighborhood)