aita = await FileAttachment("aita_clean_appended.csv").text()
aita_parsed = await d3.csvParse(aita)
table(aita_parsed)
aita_parsed.columns
viewof aitaBar = vl.markBar() // Make a bar chart
.data(aita_parsed) // Using the data
.encode(
vl.x().fieldN("verdict"),
vl.y().field("Frequency").axis({ format: "%" })
)
.render()
md ` # Candidate data:
1. RDIndex2019
2. Candidate UUID
3. State
4. Office Level
5. Office Role
6. OCDID
7. Electoral District
8. Office UUID
8. Office Name (ex. "solicitor general," "county prosecuting attorney")
9. Seat Type (empty?)
10. Seat ID (empty?)
11. Number elected (so far only seems to be 1)
12. Candidate Name
13. Candidate Party ("Republican Party","Democratic Party" )
14. Party ID Roll up
15. White/Non-White ("White" vs "Non-White strings)
16. Race ("White","Unknown","American Indian or Alaska Native","Hispanic or Latino","Asian American or Pacific Islander","Multiracial","Black or African American")
17. Gender ("Male", "Female" and)
18. Winner Y/N ("True" or "False")
`
elected_officials19 = FileAttachment("elected_officials_rd2019.csv").csv()
table(candidates19)
md ` # Elected Officials data:
1. RDIndex2019
2. State
3. Office Level
4. Office Role
5. OCDID
5. Electoral District
6. Office Name
7. Official Name (of elected official)
8. Official Party ("Nonpartisan",
9. Party Roll Up ("Independent",
10. White/Non-White ("White","Non-White","Unknown")
11. Race ("White","Unknown","American Indian or Alaska Native","Hispanic or Latino","Asian American or Pacific Islander","Multiracial","Black or African American")
12. Gender ("Male", "Female", and "Unknown")
`
table(elected_officials19)
elected_officials19.columns
candidates19.columns
viewof canBar = vl.markBar() // Make a bar chart
.data(candidates19) // Using the data
.encode(
vl.x().fieldN("Office Role"), // .sort(vl.fieldQ("frequency").order("descending")), // Letters are ordinal on the x-axis
vl.y().fieldN("Gender").axis({ format: "%" }) // Frequency on the y-axis, formatted as percent
)
.render()
d3 = require ('d3')
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
