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Slides Draft (What do we want to show) (10-15 slides) #4

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KaufmannLukas opened this issue Oct 12, 2023 · 2 comments
Open

Slides Draft (What do we want to show) (10-15 slides) #4

KaufmannLukas opened this issue Oct 12, 2023 · 2 comments

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@KaufmannLukas
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KaufmannLukas commented Oct 12, 2023

  1. Team & Project intro
  2. Data Intro: quick intro into dataset (what's in there, what can you see (short!), what is the data about?)
  3. Questions raised from the data
  4. Hypotheses based on Research questions
  5. Data Insight No.1 - success rate per category
  6. Data insight No.2 - success rate per country?
  7. Data insight No.3 - goal vs. pledged average numbers
  8. Data insight No.4 - dev by year?
  9. Data insight No.5 - ?
  10. Hypotheses results
  11. Model: question and our use case => what do we want to show?
  12. Model: first results and next step: look at subset to achieve a specific learning
  13. Model with subset: results
  14. Model: Learning
  15. Model: Possible next steps
  16. Final learnings

https://docs.google.com/presentation/d/1TfJUwwZJrRWy1xweT7l2leq1er3BnPJyVRPeXqhOMNs/edit#slide=id.SLIDES_API1280726013_0

@PaulZbigniew
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PaulZbigniew commented Oct 13, 2023

  1. Team & Project intro
  2. Data Intro: quick intro into dataset (what's in there, what can you see (short!), what is the data about?)
  3. Questions raised from the data
  4. Hypotheses based on Research questions
  5. Data Insight No.1 - success rate per category
  6. Data insight No.2 - success rate per country?
  7. Data insight No.3 - goal vs. pledged average numbers
  8. Data insight No.4 - dev by year?
  9. Data insight No.5 - ?
  10. Hypotheses results
  11. Model: question and our use case => what do we want to show?
  12. Model: first results and next step: look at subset to achieve a specific learning
  13. Model with subset: results
  14. Model: Learning
  15. Model: Possible next steps
  16. Final learnings

1 similar comment
@PaulZbigniew
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Collaborator

PaulZbigniew commented Oct 16, 2023

  1. Team & Project intro
  2. Data Intro: quick intro into dataset (what's in there, what can you see (short!), what is the data about?)
  3. Questions raised from the data
  4. Hypotheses based on Research questions
  5. Data Insight No.1 - success rate per category
  6. Data insight No.2 - success rate per country?
  7. Data insight No.3 - goal vs. pledged average numbers
  8. Data insight No.4 - dev by year?
  9. Data insight No.5 - ?
  10. Hypotheses results
  11. Model: question and our use case => what do we want to show?
  12. Model: first results and next step: look at subset to achieve a specific learning
  13. Model with subset: results
  14. Model: Learning
  15. Model: Possible next steps
  16. Final learnings

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