In [1]:
import jupyterviz

In [2]:
import pandas as pd

In [3]:
df = pd.read_csv("data/cities.csv")

In [4]:
#jupyterviz.serve(df)

In [5]:
jupyterviz.viz(type="vegalite",data=df.to_dict(orient="records"),spec={
  "data": {"url": "https://localhost:8090/api/db","formatType": "json"},
  "transform": {},
  "mark": "bar",
  "encoding": {
    "x": {"field": "country","type": "nominal"},
    "y": {"aggregate": "count","field": "*","type": "quantitative"}
  }
})


Out[5]:

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