Date post: | 12-Apr-2017 |
Category: |
Data & Analytics |
Upload: | ping-yin |
View: | 34 times |
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Expenses for City of Dallasin 2013 & 2014
Ping Yin9/20/2016
Overview
Purpose: Querying data to find features
Steps: Step 1: Preparing data Step 2: Querying data
Overview Data source: www.dallasopendata.com/Financial
Step 1: Preparing data 1.Defining library and uploading data
Step 1: Preparing data 2.Importing data and generating SAS data sets
Step 1: Preparing data 3.Using data step to format data sets
Step 1: Preparing data 3.Using data step to format data set
Step 1: Preparing data 3.Using data step to format data set
Step 2: Querying data 1.A glance of data sets
Step 2: Querying data 2.Total expenses in both years
Step 2: Querying data 3.Displaying payments monthly
Step 2: Querying data 3.Displaying payments monthly
Step 2: Querying data 4.Top 10 max payments
Step 2: Querying data 4.Top 10 max payments
Step 2: Querying data 5.Creating two tables grouped by vendors
Step 2: Querying data 5.Creating two tables grouped by vendors
Step 2: Querying data 6.Top 10 vendors
Step 2: Querying data 6.Top 10 vendors
Step 2: Querying data 7.Top 10 new vendors in 2014
Step 2: Querying data 8.Top 10 vendors amount increased from 2013 to 2014
Step 2: Querying data 9.Top 10 vendors amount decreased from 2013 to 2014
Step 2: Querying data 10.Top 10 vendors by percent
Step 2: Querying data 10.Top 10 vendors by percentage
Step 2: Querying data 11.Top 10 vendors percentage increased from 2013 to 2014
Step 2: Querying data 12.Top 10 vendors percentage decreased from 2013 to 2014
Thanks!