Recently, I have been reading and taking some courses on the concept of tidy data. My discoveries motivated me to write this article about tidy data because data must be in the proper format (tidy) before analysis can be done.

In this series of articles, I will share some thoughts…

In the previous article in this tidy data series, I introduced the concept of tidy data and highlighted the principles of tidy data. If you have not read the last article, you can read it here.

Before we dive right into these case studies, let me refresh your knowledge about…

Source: https://www.123rf.com/photo_99216070_writing-note-showing-review-time-business-photo-showcasing-evaluating-survey-reviewing-analysis-chec.html

This week I read the paper titled: “Impact of missing data on bias and precision when estimating change in patient-reported outcomes from a clinical registry” by Ayilara, O et al. (2019).

The main objective of the study was to compare the impact of several missing data methods on the precision…

Source: https://www.pageuppeople.com.sg/resource/hr-its-time-for-your-performance-review/

This week I read the paper titled: “Use of Deep Learning to Examine the Association of the Built Environment With Prevalence of Neighborhood Adult Obesity” by Adyasha M. & Elaine O. N (2018).

It is evident that obesity have been linked with several factors such as genetics, diet, physical activity…

Arimoro Olayinka

Guided Project Instructor at Coursera Inc.

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