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Analyzing unicorn company data

In this workspace, we'll be exploring the relationship between total funding a company receives and its valuation.

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DataFrameas
df
variable
SELECT *
FROM companies
INNER JOIN funding
USING(company_id)

import plotly.express as px
import numpy as np
import pandas as pd

px.scatter(df, x='funding', y='valuation', log_x=True, hover_name='company')
  1. There is a positive correlation between valuation and funding. The higher the valuation, the higher the funding.
  2. Funding tends to be mostly between 50 milion and 1B for most companies, which is a useful insight for unicorn companies that are in the process of pitching investors for funding. Asking for funding within this range, is likely to be successful.
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