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

  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. 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. Process 2: Data extraction Main data extracted Household economic activity Country specific livestock variable
  4. Process 2: Data modelling • Mean of squared residuals: 0.03818643 • % Var explained: 54.84
  5. Process 2: Prediction Proportion of livestock keepers in E. Africa
  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

Editor's Notes

  1. Is the title ok? Gaps not peculiar to tools used at ILRI.. They are common to other tools Spent time on the presentation outline 15 min presentation Balance – what’s the value proposition.. Why is this important and why to invest and less on what we will do Partners.. Why we need them, what do they bring? There’s no lab for this topic! and the connections we do and the field sites we have are the way to do research
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