shwetaagrey / SharkTankDataDive

Explore Shark Tank investments with SQL. Uncover insights, success rates, and industry preferences.

SharkTankDataDive

Explore Shark Tank investments with SQL. Uncover insights, success rates, and industry preferences. Based on the SQL script provided, here are the problem statements and their corresponding solutions:

Problem Statement 1:

Determine the total number of episodes in Season 1.

Solution 1 :

Use the MAX function to find the highest episode number and the COUNT DISTINCT function to count unique episodes.

-- Total number of episodes
SELECT MAX(ep_no) FROM shark_data;
SELECT COUNT(DISTINCT ep_no) FROM shark_data;

Problem Statement 2:

Calculate the conversion rate of pitches to deals in Season 1.

Solution 2 :

Count the number of pitches that resulted in an investment and divide by the total number of pitches.

-- Conversion rate of pitches to deals
SELECT CAST(SUM(a.converted_not_converted) AS FLOAT) / CAST(COUNT(*) AS FLOAT) FROM (
    SELECT amount_invested_lakhs, CASE WHEN amount_invested_lakhs > 0 THEN 1 ELSE 0 END AS converted_not_converted FROM shark_data
) a;

Problem Statement 3:

Analyze the gender distribution of entrepreneurs in Season 1.

Solution 3 :

Sum the total number of male and female participants and calculate the gender ratio.

-- Gender distribution analysis
SELECT SUM(male) FROM shark_data;
SELECT SUM(female) FROM shark_data;
SELECT SUM(female) / SUM(male) FROM shark_data;

Problem Statement 4:

Identify the startup with the highest investment in each sector for Season 1.

Solution 4 :

Rank startups within each sector by the amount invested and select the top-ranked startup per sector.

-- Startup with the highest investment per sector
SELECT c.* FROM (
    SELECT brand, sector, amount_invested_lakhs, RANK() OVER (PARTITION BY sector ORDER BY amount_invested_lakhs DESC) rnk 
    FROM shark_data
) c
WHERE c.rnk = 1;