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Instagram Handle
MongoDB Atlas Username
Q1. Which market has the largest number of properties?
Remember we want our Engineers to stay in the most popular, populated market. To that end, use MongoDB Charts to analyze the data to determine which market (address.market field) has the largest number of properties listed in the sample dataset. Create a chart showing your analysis and provide a link to this chart using the embed code feature of Charts. Which market has the largest number of properties?
Q2. Which costs more to stay in - Tree Houses or Castles?
MongoDB Engineers typically like to stay in either Tree Houses or Castles. On average, does it cost more to stay in a treehouse or a castle? To solve this, you will probably want to use the mean value of the property_type and price fields in your chart. Which costs more to stay in - Tree Houses or Castles?
Q3. What market has the highest number of amenities?
We also like to ensure that our Engineers stay where they have the most amenities. In which market (address.market) do properties have the highest average number of amenities (amenities)? What market has the highest number of amenities?
Q4. Please enter the month and year (mm/yyyy) with the highest number of first reviews:
Of the properties with at least one review (number_of_reviews), what month and year had the highest number of first reviews (first_review field)? Please enter the month and year (mm/yyyy) with the highest number of first reviews:
Q5. What is the maximum number of bedrooms of any property?
We have a lot of Engineers these days and we want to try to get them all in the same home. Help us out and find out what is the maximum number of bedrooms (bedrooms field) of any property in the dataset? What is the maximum number of bedrooms of any property?
Please enter the URL to the HTML page you created with the embedded charts that answer the questions above.
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