In [3]:

import plotly.graph_objects as go

In [4]:

categories = [
    'Data Extraction',
    'Data Cleaning',
    'Data Wrangling',
    'Exploratory Analysis',
    'Data Action']

In [18]:

DATA_ANALYSIS = [2, 1, 2, 5, 1]
DATA_SCIENCE = [4, 3, 3, 4, 5]

In [19]:

fig = go.Figure()

fig.add_trace(go.Scatterpolar(
      r=DATA_ANALYSIS,
      theta=categories,
      fill='toself',
      name='Data Analysis'
))
fig.add_trace(go.Scatterpolar(
      r=DATA_SCIENCE,
      theta=categories,
      fill='toself',
      name='Data Science',
    opacity=.5
))

fig.update_layout(
  polar=dict(
    radialaxis=dict(
      visible=True,
      range=[0, 5]
    )),
  showlegend=True
)

fig.show()

Santiago BasultoSantiago Basulto

Radar Chart - Data Science vs Data Analysis