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SQL Data Analysis Project

In this project, i went through SQL Server Integration Services (SSIS) to import data from CSV files into SQL Server Database, then i went through cleaning data and making it ready to be used for analytics. And then last, I explored the imported data with SQL for insights.

The dataset is from SBA Open Data

SSIS Foreach Loop Container In order to load multiple source files

Part 1 : Cleaning Data with SQL

select *
into sba_naics_sector_codes_description 
from(

	SELECT 
		  [NAICS_Industry_Description],
		  iif([NAICS_Industry_Description] like '%–%', substring([NAICS_Industry_Description], 8, 2 ), '') LookupCodes,
		  iif([NAICS_Industry_Description] like '%–%', ltrim(substring([NAICS_Industry_Description], CHARINDEX('–', [NAICS_Industry_Description]) + 1, LEN([NAICS_Industry_Description]) )), '') Sector
	  FROM [PortfolioDB].[dbo].[sba_industry_standards]
	  where [NAICS_Codes] = ''
) main
where 
	LookupCodes != ''

SELECT [NAICS_Industry_Description]
      ,[LookupCodes]
      ,[Sector]
  FROM [PortfolioDB].[dbo].[sba_naics_sector_codes_description]
  order by LookupCodes

insert into [dbo].[sba_naics_sector_codes_description]
values 
  ('Sector 31 – 33 – Manufacturing', 32, 'Manufacturing'), 
  ('Sector 31 – 33 – Manufacturing', 33, 'Manufacturing'), 
  ('Sector 44 - 45 – Retail Trade', 45, 'Retail Trade'),
  ('Sector 48 - 49 – Transportation and Warehousing', 49, 'Transportation and Warehousing')

update  [dbo].[sba_naics_sector_codes_description]
set Sector = 'Manufacturing'
where LookupCodes = 31

Part 2 : Exploring Datausing SQL

Summary of All PPP Approved Lending

Select count(LoanNumber) as Loans_Approved
       , sum(InitialApprovalAmount) Total_Net_Dollars
       , AVG(InitialApprovalAmount) Average_Loan_Size, 
(select count(distinct (OriginatingLender))from [dbo].[sba_public_data])Total_Originating_Lender_Count
from [dbo].[sba_public_data]
order by 3 desc

Summary of 2021 PPP Approved Lending

Select count(LoanNumber) as Loans_Approved
       , sum(InitialApprovalAmount) Total_Net_Dollars
       , AVG(InitialApprovalAmount) Average_Loan_Size, 
(select count(distinct (OriginatingLender))from [dbo].[sba_public_data] where year(DateApproved) = 2021)Total_Originating_Lender_Count
from [dbo].[sba_public_data]
where year(DateApproved) = 2021
order by 3 desc

Summary of 2020 PPP Approved Lending

Select count(LoanNumber) as Loans_Approved
       , sum(InitialApprovalAmount) Total_Net_Dollars  
       , AVG(InitialApprovalAmount) Average_Loan_Size, 
(select count(distinct (OriginatingLender))from [dbo].[sba_public_data] where year(DateApproved) = 2020)Total_Originating_Lender_Count
from [dbo].[sba_public_data]
where year(DateApproved) = 2020
order by 3 desc

Summary of 2021 PPP Approved Loans per Originating Lender, loan count, total amount and average

–Data is ordered by Net_Dollars

Select top 15 OriginatingLender
       , count(LoanNumber) as Loans_Approved
       , sum(InitialApprovalAmount) Net_Dollars
       , AVG(InitialApprovalAmount) Average_Loan_Size
from [dbo].[sba_public_data]
where year(DateApproved) = 2021
group by OriginatingLender
order by 3 desc

Top 15 Originating Lenders for 2021 PPP Loans

Select top 15 OriginatingLender
       , count(LoanNumber) as Loans_Approved
       , sum(InitialApprovalAmount) Net_Dollars
       , AVG(InitialApprovalAmount) Average_Loan_Size
from [dbo].[sba_public_data]
where year(DateApproved) = 2020
group by OriginatingLender
order by 3 desc

Top 20 Industries that received the PPP Loans in 2021

with cte as (

	select ncd.Sector
         , count(LoanNumber) as Loans_Approved
         , sum(CurrentApprovalAmount) Net_Dollars
	from [dbo].[sba_public_data] main
	inner join [dbo].[sba_naics_sector_codes_description]  ncd
		on left(cast(main.NAICSCode as varchar), 2) = ncd.LookupCode
	where year(DateApproved) = 2021 
	group by ncd.Sector
	--order by 3 desc
)
SELECT 
	sector,
  Loans_Approved,
	SUM(Net_Dollars) OVER(PARTITION BY sector) AS Net_Dollars,
	--SUM(Net_Dollars) OVER() AS Total,
	CAST(1. * Net_Dollars / SUM(Net_Dollars) OVER() AS DECIMAL(5,2)) * 100 AS "Percent by Amount"  
FROM cte  
order by 3 desc
--where year(DateApproved) = 2021 

States and Territories

select BorrowerState as state
       , count(LoanNumber) as Loan_Count
       , sum(CurrentApprovalAmount) Net_Dollars
from [dbo].[sba_public_data] main
--where cast(DateApproved as date) < '2021-06-01'
group by BorrowerState
order by 1

Demographics for PPP

select race
       , count(LoanNumber) as Loan_Count
       , sum(CurrentApprovalAmount) Net_Dollars
from [dbo].[sba_public_data]
group by race
order by 3

select gender
       , count(LoanNumber) as Loan_Count
       , sum(CurrentApprovalAmount) Net_Dollars
from [dbo].[sba_public_data]
group by gender
order by 3

select Ethnicity
       , count(LoanNumber) as Loan_Count
       , sum(CurrentApprovalAmount) Net_Dollars
from [dbo].[sba_public_data]
group by Ethnicity
order by 3

select Veteran, count(LoanNumber) as Loan_Count, sum(CurrentApprovalAmount) Net_Dollars
from [dbo].[sba_public_data]
group by Veteran
order by 3

How much of the PPP Loans of 2021 have been fully forgiven

select count(LoanNumber) as Count_of_Payments
       ,  sum(ForgivenessAmount) Forgiveness_amount_paid
from sba_public_data
where year(DateApproved) = 2020 and ForgivenessAmount <> 0

Summary of 2021 PPP Approved Lending

Select count(LoanNumber) as Loans_Approved
       , sum(InitialApprovalAmount) Total_Net_Dollars
       , sum(ForgivenessAmount) Forgiveness_amount_paid,
(select count(distinct (OriginatingLender))from [dbo].[sba_public_data] where year(DateApproved) = 2021)Total_Originating_Lender_Count
from [dbo].[sba_public_data]
where year(DateApproved) = 2020 
order by 3 desc

In which month was the highest amount given out by the SBA to borrowers

select Year(DateApproved) Year_Approved
      , Month(DateApproved)Month_Approved
      , ProcessingMethod, sum(CurrentApprovalAmount) Net_Dollars
from sba_public_data
group by Year(DateApproved),  Month(DateApproved), ProcessingMethod
order by 4 desc