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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 funding as f INNER JOIN companies as c ON f.company_id=c.company_id
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd

df.head()

df.select_investors.describe()
# Summarize funding by select_investor for top 10 investors
top_investors = df.groupby('select_investors')['funding'].sum().reset_index().nlargest(10, 'funding')

# Create bar chart
plt.figure(figsize=(10, 6))
sns.barplot(x='select_investors', y='funding', data=top_investors)
plt.title('Total Funding by Top 10 Select Investors')
plt.xlabel('Select Investor')
plt.ylabel('Total Funding')
plt.xticks(rotation=90)
plt.show()
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