import pandas as pd
df = pd.read_json('cars.json')
df.head()
Name | Miles_per_Gallon | Cylinders | Displacement | Horsepower | Weight_in_lbs | Acceleration | Year | Origin | |
---|---|---|---|---|---|---|---|---|---|
0 | chevrolet chevelle malibu | 18.0 | 8 | 307.0 | 130.0 | 3504 | 12.0 | 1970 | USA |
1 | buick skylark 320 | 15.0 | 8 | 350.0 | 165.0 | 3693 | 11.5 | 1970 | USA |
2 | plymouth satellite | 18.0 | 8 | 318.0 | 150.0 | 3436 | 11.0 | 1970 | USA |
3 | amc rebel sst | 16.0 | 8 | 304.0 | 150.0 | 3433 | 12.0 | 1970 | USA |
4 | ford torino | 17.0 | 8 | 302.0 | 140.0 | 3449 | 10.5 | 1970 | USA |
from vega import VegaLite
VegaLite({
"$schema": "https://vega.github.io/schema/vega-lite/v4.json",
"mark": "point",
"encoding": {
"y": {"type": "quantitative", "field": "Acceleration"},
"x": {"type": "quantitative", "field": "Horsepower"}
}
}, df)