applied data science capstone coursera week 1 quiz answers

Check Points: Data Collection API

1. Did you Request and parse the SpaceX launch data using the GET request?

  • Yes
  • No

2. Did you filter the dataframe to only include Falcon 9 launches?

  • Yes
  • No

3. Did you relace None values in the PayloadMass with the mean?

  • Yes
  • No

Graded Quiz: Data Collection API with Webscraping

4. After you performed a GET request on the Space X API and convert the response to a dataframe using pd.json_normalize. What year is located in the first row in the column static_fire_date_utc?

2006

5. Using the API, how many Falcon 9 launches are there after we remove Falcon 1 launches?

90

6. At the end of the API data collection process, how many missing values are there for the column landingPad?

26

7. After making a request to the Falcon9 Launch Wiki page and creating a BeautifulSoup object what is the output of:

soup.title

  • < td colspan=”9″ > First flight of Falcon 9 v1.0. < sup class=”reference” id=”cite_ref-sfn20100604_17-0″
  • <table class=”wikitable plainrowheaders collapsible” style=”width: 100%;”>
  • <title> List of Falcon 9 and Falcon Heavy launches – Wikipedia </title>

Check Points: Data Wrangling

8. Did you calculate the number of launches on each site?

  • Yes
  • No

Shuffle Q/A 1

9. Did you calculate the number and occurrence of each orbit?

  • Yes
  • No

10. Did you calculate the number and occurrence of mission outcome per orbit type?

  • Yes
  • No
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