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Lesson

Intro to Lesson

12 September 2022

The objective of data cleaning is to facilitate data analysis while avoiding the introduction of coding errors.

Evidential: A new experiment engine for the social sector

10 July 2025

Evidence-based approaches to tackling Zambia’s blood shortage

9 July 2025

Enhancing sanitation equity in Ethiopia

3 July 2025

Lessons from on-the-ground data collection: How SurveyStream helped us streamline field operations

3 July 2025

IDinsight welcomes Caitlin Tulloch and Larry Cooley to its Advisory Board

27 June 2025

Wheels of Work: A Cross-Country Look at Digital Driving Gigs in India, Indonesia, and Kenya

26 June 2025

Dignity Analysis: Insights from Afrobarometer and Arab Barometer Surveys

26 June 2025

Why survey data should be here to stay

25 June 2025

Closing the gap between data and decisions: Two practical tools

24 June 2025

Balancing rigor and cost in sampling

20 June 2025

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