Exploring Data Quality Assessment and Tools in Day 2 Introduction
Dive into Day 2 Introduction where you will learn about different tests to assess data quality, practice these tests, understand their challenges, evaluate data quality using numerical summaries and graphical methods, debate on data quality tests, work with CSV files, explore software tools like Who Anthro Data Survey Analyser, and engage in hands-on exercises with anthropometry data.
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Presentation Transcript
Day 2: introduction
Day 2: introduction Objectives Learn different tests to asses data quality Practice the tests Understand the challenges of each test 2
Day 2: introduction Evaluating data quality Numerical summaries are useful for checking that data are within an expected range Graphical methods are often more informative than numerical summaries A key graphical method for examining the distribution of a variable is the histogram 3
5 min Debate what tests do you know on data quality? Do you use them often?
Day 2: introduction Data files CSV files (Comma Separated Value) 5
Day 2: introduction Software The NIPN data quality toolkit Who Anthro Data Survey Analyser Excel STATA SPSS Online calculators https://whonutrition.shinyapps.io/anthro/ 6
Day 2: introduction Software Who Anthro Data Survey Analyser https://www.who.int/tools/child-growth- standards/software New version coming soon 7
Day 2: introduction Exercise : preparing your data Open the file ex01.csv using Excel or other software The file ex01.csv is a comma-separated-value (CSV) file containing anthropometry data from a SMART survey in Angola. How many variables the file has? What are they? What are the problems with the sex variable? Amend the sex variable until it can be read by WHO anthro Build an histogram in Excel for any variable you want 8
