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Analyzing unicorn company data
Title goes here
DataFrameas
df
variable
-- List the 5 companies that attracted the most funding
SELECT
company AS "Company",
funding / 1000000000 AS "Funding / $1B",
valuation / 1000000000 AS "Valuation / $1B"
FROM companies
INNER JOIN funding ON companies.company_id = funding.company_id
ORDER BY funding DESC
LIMIT 5DataFrameas
df1
variable
SELECT * FROM companies INNER JOIN public.funding USING(company_id)import plotly.express as px
fig = px.scatter(df1, x='funding', y='valuation' ,log_x= True,log_y = True, title='Valuation vs Funding',hover_name= 'company')
fig.show()Queryas
query
variable
SELECT * FROM companies DataFrameas
df2
variable
SELECT COUNT(company) FROM companies WHERE country = 'Germany';