Add files via upload

Eploratory_Data_Analysis_Company_Layoffs.sql

@@ -0,0 +1,179 @@
+-- Eploratory Data Analysis
+
+SELECT *
+FROM layoffs_staging2;
+
+
+SELECT MAX(total_laid_off), MAX(percentage_laid_off)
+FROM layoffs_staging2;
+
+
+SELECT *
+FROM layoffs_staging2
+WHERE percentage_laid_off = 1
+ORDER BY funds_raised_millions DESC;
+
+
+SELECT company, SUM(total_laid_off)
+FROM layoffs_staging2
+GROUP BY company
+ORDER BY 2 DESC;
+
+
+SELECT MIN(`date`), MAX(`date`)
+FROM layoffs_staging2;
+
+# MIN(`date`), MAX(`date`)
+'2020-03-11', '2023-03-06'
+
+
+SELECT industry, SUM(total_laid_off)
+FROM layoffs_staging2
+GROUP BY industry
+ORDER BY 2 DESC;
+
+-- top 2 
+# industry, SUM(total_laid_off)
+'Consumer', '45182'
+'Retail', '43613'
+-- makes sense considering covid
+
+SELECT *
+FROM layoffs_staging2;
+
+
+SELECT country, SUM(total_laid_off)
+FROM layoffs_staging2
+GROUP BY country
+ORDER BY 2 DESC;
+
+-- top 4
+# country, SUM(total_laid_off)
+'United States', '256559'
+'India', '35993'
+'Netherlands', '17220'
+'Sweden', '11264'
+
+
+SELECT YEAR(`date`), SUM(total_laid_off)
+FROM layoffs_staging2
+GROUP BY YEAR(`date`)
+ORDER BY 1 DESC;
+
+-- TOTAL laid off is rising
+
+# YEAR(`date`), SUM(total_laid_off)
+'2023', '125677'
+'2022', '160661'
+'2021', '15823'
+'2020', '80998'
+NULL, '500'
+
+SELECT stage, SUM(total_laid_off)
+FROM layoffs_staging2
+GROUP BY stage
+ORDER BY 2 DESC;
+
+-- Top 5
+
+# stage, SUM(total_laid_off)
+'Post-IPO', '204132'
+'Unknown', '40716'
+'Acquired', '27576'
+'Series C', '20017'
+'Series D', '19225'
+
+
+SELECT stage, SUM(total_laid_off)
+FROM layoffs_staging2
+GROUP BY stage
+ORDER BY 2 DESC;
+
+-- Progression of lay-off - Rolling sum
+
+SELECT SUBSTRING(`date`,6,2) AS `MONTH`, SUM(total_laid_off)
+FROM layoffs_staging2
+GROUP BY `MONTH`
+;
+
+-- just the month isnt as acurate wont be good when using rolling sum
+-- change to year and month
+
+SELECT SUBSTRING(`date`,1,7) AS `MONTH`, SUM(total_laid_off)
+FROM layoffs_staging2
+WHERE SUBSTRING(`date`,1,7) IS NOT NULL
+GROUP BY `MONTH`
+ORDER BY 1 ASC
+;
+
+-- layoffs now sorted per month and year
+-- Rolling sum
+WITH Rolling_Total AS
+(
+SELECT SUBSTRING(`date`,1,7) AS `MONTH`, SUM(total_laid_off) AS total_off
+FROM layoffs_staging2
+WHERE SUBSTRING(`date`,1,7) IS NOT NULL
+GROUP BY `MONTH`
+ORDER BY 1 ASC
+)
+SELECT `MONTH`, total_off,
+SUM(total_off) OVER(ORDER BY `MONTH`) AS rolling_total
+FROM Rolling_Total;
+
+
+SELECT company, SUM(total_laid_off)
+FROM layoffs_staging2
+GROUP BY company
+ORDER BY 2 DESC;
+
+
+SELECT company, YEAR(`date`), SUM(total_laid_off)
+FROM layoffs_staging2
+GROUP BY company, YEAR(`date`)
+ORDER BY 3 DESC;
+
+
+
+
+WITH company_year (company, years, total_laid_off) AS
+(
+SELECT company, YEAR(`date`), SUM(total_laid_off)
+FROM layoffs_staging2
+GROUP BY company, YEAR(`date`)
+), Company_year_rank AS 
+(SELECT *, DENSE_RANK() OVER (PARTITION BY years ORDER BY total_laid_off DESC) AS Ranking
+FROM company_year
+WHERE years IS NOT NULL)
+SELECT *
+FROM Company_year_rank
+WHERE Ranking <= 5
+;
+
+-- following results show top 5 companies to lay off employees for each year
+
+# company, years, total_laid_off, Ranking
+'Uber', '2020', '7525', '1'
+'Booking.com', '2020', '4375', '2'
+'Groupon', '2020', '2800', '3'
+'Swiggy', '2020', '2250', '4'
+'Airbnb', '2020', '1900', '5'
+'Bytedance', '2021', '3600', '1'
+'Katerra', '2021', '2434', '2'
+'Zillow', '2021', '2000', '3'
+'Instacart', '2021', '1877', '4'
+'WhiteHat Jr', '2021', '1800', '5'
+'Meta', '2022', '11000', '1'
+'Amazon', '2022', '10150', '2'
+'Cisco', '2022', '4100', '3'
+'Peloton', '2022', '4084', '4'
+'Carvana', '2022', '4000', '5'
+'Philips', '2022', '4000', '5'
+'Google', '2023', '12000', '1'
+'Microsoft', '2023', '10000', '2'
+'Ericsson', '2023', '8500', '3'
+'Amazon', '2023', '8000', '4'
+'Salesforce', '2023', '8000', '4'
+'Dell', '2023', '6650', '5'
+
+
+-- Workout how many ppl were in the company originally total laid off / percentage laid off