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Read online_bl.csv from data_input folder to answer question 1-3. You may find it helpful to use parse_dates=[__] while calling the read_csv() function. The data are all items listed for sale on the popular e-commerce website bukalapak.com within a specific set of categories.

Perform necessary data preparation steps and use the exploratory data analysis techniques you've acquired to answer the questions.

  1. How many unique sub categories are there in online_bl dataset? Do we have more "detergent" listings or "sugar" listings within our data?

    • [ ] 2, with more "detergent" than "sugar"
    • [ ] 2, with "detergent" and "sugar" having equal listings
    • [ ] 3, with more "sugar" than detergent
    • [ ] None of above is correct
  2. In which scale do we have our detergent stock the most?

    • [ ] 1 kg
    • [ ] 1.8 kg
    • [ ] 5 kg
    • [ ] 800 gr
  3. Which month has the lowest average price (mean on price_original) for detergent products (1.8kg and 800gr respectively) listed for sale on Bukalapak? Are they the same month?

    • [ ] Both 1.8 kg and 800 gr detergents lowest price were in August
    • [ ] Both 1.8 kg and 800 gr detergents lowest price were in October
    • [ ] 1.8 kg detergents: Lowest in August, 800 gr: Lowest in October
    • [ ] 1.8 kg detergents: Lowest in August, 800 gr: Lowest in July

Read techcrunch.csv from data_input folder to aswer question 4-6, a dataset that stores fundraising rounds and amounts from startup companies of different categories around the US.

  1. Using techcrunch.csv, which category raised the most amount in funding (raisedAmt) on average (use the median)?
    • [ ] mobile
    • [ ] cleantech
    • [ ] biotech
    • [ ] consulting
  1. In which period does Friendster gain their highest raised amount of funding?

    • [ ] 2008-08
    • [ ] 2002-12
    • [ ] 2006-08
    • [ ] 2012-01
  2. Among all companies in San Francisco, which of the following are not among the top 5 most funded ( has highest total raisedAmt) companies?

    • [ ] OpenTable
    • [ ] Friendster
    • [ ] Facebook
    • [ ] Snapfish
Quiz
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  • Quiz 1

    How many unique sub categories are there in online_bl dataset? Do we have more "detergent" listings or "sugar" listings within our data?

    Question worth 1 point

  • Quiz 2

    In which scale do we have our detergent stock the most?

    Question worth 1 point

  • Quiz 3

    Which month has the lowest average price (mean on price_original) for detergent products (1.8kg and 800gr respectively) listed for sale on Bukalapak? Are they the same month?

    Question worth 1 point

  • Quiz 4

  • Using techcrunch.csv, which category raised the most amount in funding (raisedAmt) on average (use the median)?
  • Question worth 1 point

  • Quiz 5

    In which period does Friendster gain their highest raised amount of funding?

    Question worth 1 point

  • Quiz 6

    Among all companies in San Francisco, which of the following are not among the top 5 most funded ( has highest total raisedAmt) companies?

    Question worth 1 point

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