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Date post: 12-Apr-2017
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Expenses for City of Dallas in 2013 & 2014 Ping Yin 9/20/2016
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Page 1: SQL project

Expenses for City of Dallasin 2013 & 2014

Ping Yin9/20/2016

Page 2: SQL project

Overview

Purpose: Querying data to find features

Steps: Step 1: Preparing data Step 2: Querying data

Page 3: SQL project

Overview Data source: www.dallasopendata.com/Financial

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Step 1: Preparing data 1.Defining library and uploading data

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Step 1: Preparing data 2.Importing data and generating SAS data sets

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Step 1: Preparing data 3.Using data step to format data sets

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Step 1: Preparing data 3.Using data step to format data set

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Step 1: Preparing data 3.Using data step to format data set

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Step 2: Querying data 1.A glance of data sets

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Step 2: Querying data 2.Total expenses in both years

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Step 2: Querying data 3.Displaying payments monthly

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Step 2: Querying data 3.Displaying payments monthly

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Step 2: Querying data 4.Top 10 max payments

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Step 2: Querying data 4.Top 10 max payments

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Step 2: Querying data 5.Creating two tables grouped by vendors

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Step 2: Querying data 5.Creating two tables grouped by vendors

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Step 2: Querying data 6.Top 10 vendors

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Step 2: Querying data 6.Top 10 vendors

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Step 2: Querying data 7.Top 10 new vendors in 2014

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Step 2: Querying data 8.Top 10 vendors amount increased from 2013 to 2014

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Step 2: Querying data 9.Top 10 vendors amount decreased from 2013 to 2014

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Step 2: Querying data 10.Top 10 vendors by percent

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Step 2: Querying data 10.Top 10 vendors by percentage

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Step 2: Querying data 11.Top 10 vendors percentage increased from 2013 to 2014

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Step 2: Querying data 12.Top 10 vendors percentage decreased from 2013 to 2014

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Thanks!


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