alexbhatt/stata_training

Stata Training for Data Cleaning, Management and Manipulation

Stata Training: Data Cleaning, Management and Manipulation

Intro

This is a self-directed training to teach you how to manipulate and clean data in Stata like a data wizard.
For each task, you’ll be provided with the key Stata commands you'll want to use for each task. Importantly, the code/commands I've suggested are not the only way to solve each problem, just one way. Always remember to write lots of comments within your do file. Explain what and why you've done something.

This training is broken down into four sections, each one building on what you have just learned:

1. Data Import
2. Data Cleaning
3. Data Management
4. Data Manipulation

Before you start

This training requires Stata v12.0 or higher.

File structure on your computer is important. By having a good folder structure, you will be able to find files easier, and your code will be cleaner and easier. Also, it helps to differentiate where you data is coming from (import versus export data). For most projects, I recommend having a project directory with the following subfolders as a minimum:

Folder	Subfolder	Contents
project directory		this is the main folder
	\data	data files (.dta, original import data .csv .xlsx)
	\exports	data you export from Stata
	\code	.do files

How long will I need to complete this?

Depending on your own level of experience prior to starting will determine how long this training will take. If you have no experience whatsoever, this may take up to 12 hours to complete. However, if you are already Stata-fluent, it may take about 3 hours. Depending on your time commitments, you may find it helpful to complete just a few tasks each day, one section, or sit down and dedicate a day (or two). Work at your own pace, and remember you can always ask questions. Some of these Stata commands can be quite frustrating to understand and use properly (like the final boss, you'll meet them at the end). Don't give up.

GitBook comments/questions

You should be viewing this training via GitBook. If you are, you will see a [+] in a box to the right of the text as you see in the image below. Clicking the [+] icon will toggle the comments on or off. You can start a new discussion or respond to existing comments from your colleagues. This feature can be used to ask questions, or work together to solve problems. To use the comments/discussion features you will need to register (free account) or sign in.

Training materials

Click here to download the training files project directory. Unzip the contents into a project folder on your computer.

The dataset

These data contain simulated laboratory surveillance data of incident cases of bacterial bloodstream infections in England from 2015 to 2017. There is only one record per infection episode, however, an individual can have multiple infection episodes over time. The raw data can be found in the \data subfolder in the project directory (stata_training_materials.zip)

The do file

Within the \code subfolder, you will find a template do file which contains some of the hints found within the manual, and all the tasks. Complete your code in this do file.

The answers

In the \exports subfolder, you will find a file called summary.xlsx. This contains the final result outputs. If you have completed the training correctly, your results will be similar to the ones found in the summary.xlsx. However, your result values may be slightly different (+/- 10%). That's okay, it will be due to how you have chosen to do a few steps.

You do not get a copy of the code. Sorry, no copy/paste for you. This training will enable you to independently create your own multi-stage do files.

Evaluation and Certificate of Completion

Upon completing the course, you can download a Certificate of Completion if you complete a quick evaluation survey. The results of which will be used to improve the course. The evaluation/certificate link is found at the bottom of the training manual.

Contact info

Author: Alex Bhattacharya
Email: [email protected]
Updated: 30 Jan 2018
Version: 4.0