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A tool for extraction, analysis, and
presentation of DHS data
Stephen Oloo and Catherine Pfeifer, ILRI
2018 CGIAR Platform...
Process 1: DHS Data
Cluster coordinates :
Cluster is a group of 20-40 households
For the participants to remain
anonymous ...
Process 2: Data extraction
Main data extracted
Household economic activity
Country specific livestock variable
Process 2: Data modelling
• Mean of squared residuals: 0.03818643
• % Var explained: 54.84
Process 2: Prediction
Proportion of livestock keepers in E. Africa
This presentation is licensed for use under the Creative Commons Attribution 4.0 International Licence.
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A tool for extraction, analysis, and presentation of DHS data

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Presented by Stephen Oloo and Catherine Pfeifer at the CGIAR Platform for Big Data in Agriculture Convention, Nairobi, 3-5 October 2018


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A tool for extraction, analysis, and presentation of DHS data

  1. 1. A tool for extraction, analysis, and presentation of DHS data Stephen Oloo and Catherine Pfeifer, ILRI 2018 CGIAR Platform for Big Data in Agriculture Convention, Nairobi 3rd – 5th Oct, 2018
  2. 2. Process 1: DHS Data Cluster coordinates : Cluster is a group of 20-40 households For the participants to remain anonymous the GPS coordinates for the cluster are randomly shifted (2km in urban, 5km in rural area)
  3. 3. Process 2: Data extraction Main data extracted Household economic activity Country specific livestock variable
  4. 4. Process 2: Data modelling • Mean of squared residuals: 0.03818643 • % Var explained: 54.84
  5. 5. Process 2: Prediction Proportion of livestock keepers in E. Africa
  6. 6. This presentation is licensed for use under the Creative Commons Attribution 4.0 International Licence. better lives through livestock ilri.org ILRI thanks all donors and organizations which globally support its work through their contributions to the CGIAR Trust Fund “The goal is to turn data into information, and information into insight” By Carly Fiorina

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