Prepare Data for Exploration - Module 1 challenge

Prepare Data for Exploration - Module 1 challenge

  1. Which of the following items are examples of structured data? Select all that apply.

    • Business notes

    • Email message

    • Relational database

    • Calendar

  2. Fill in the blank: The number of products in a store is an example of _____ data.

    • continuous

    • discrete

    • open

    • nominal

  3. Which of the following statements accurately describe first-, second-, and third-party data? Select all that apply.

    • Second-party data is sold by a trusted partner to another party.

    • When using third-party data, it’s important to confirm its accuracy.

    • A key benefit of using first-party data is that the user knows where it came from.

    • Third-party data is collected by an individual or group using their own resources.

  4. What is the most likely reason why a data analyst would use historical data instead of gathering new data?

    • The data is constantly changing

    • The data is unknown

    • The project is unimportant

    • The project has a very short time frame

  5. A data analyst at an energy utility wants to study the opinions of all adults in Portugal about green energy. Because It would be impractical to collect data from every single person in the country, the data analyst studies a part of the population that is representative of the whole. What does this scenario describe?

    • Choosing a data type

    • Using a sample

    • Using a population

    • Choosing quantitative data

  6. Which of the following items are examples of continuous data? Select all that apply.

    • Favorite social media platform

    • Duration of a customer service call

    • Temperature of a swimming pool

    • Number of employees at a company

  7. What type of data is contained in the following spreadsheet?

    Customer Year Spend
    10048 2023 $593
    10048 2022 $719
    10048 2021 $488
    29901 2023 $1,045
    29901 2022 $992
    29901 2021 $1,180
    • Unstructured

    • Tall

    • Wide

    • Long

  8. Which of the following questions would enable a data professional to collect nominal qualitative data?

    • What is your height?

    • How many books do you own?

    • Is this your first time dining at this restaurant?

    • How many years of experience do you have?

  9. A data scientist at a tech company records whether users have accepted their company's terms of service or not. What data type is being collected in this scenario?

    • Boolean

    • Numerical

    • Text

    • String