[SOLVED] graph statistic Data Analytics Onsite Material

Data Analytics Onsite Material
Please read carefully of the instructions and prepare these questions for technical interview. General Advice
Analysis
Clear metric definitions and analytical approach is highly valued in this challenge. Uses statistics appropriately and dentifie limitations of the work.
Business intuition
Identify opportunities in the market and propose reasonable solutions. Opportunity Sizing and high-level thinking are pretty important. We hope the see sensible approach and reasonable order of magnitude.
Communication
Writes clearly and concisely. Visualization effectiveness is essential for Data Scientist.
Data foundation
The foundation is data, including data loading, summary, cleaning and your coding.
Notes
Confidential: Please dont share or publish the data.
Data Science Analytics
Airbnb is a two sided marketplace which matches guests to hosts. The booking flow at Airbnb is as follows: a guest finds an available room (listing) that they like, and then they contact the host. Once the guest finds a listing they are interested in, there are three ways to send the host an inquiry: contact_me, book_it, or instant_book (detailed at the bottom of this document). Upon receiving the inquiry, the host can then decide whether or not to accept the request (for contact_me and book_it methods `instant_book` is auto-accepted). One of our goals at Airbnb is to increase bookings on our platform.

Prompt:
You are the first data scientist to join a cross-functional Product and Operations team working to grow bookings in Rio de Janeiro. The team asks you for help with the following:
1. What key metrics would you propose to monitor over time the success of the teams efforts in improving the guest host matching process and why? Clearly define your metric(s) and explain how each is computed.
2. What areas should we invest in to increase the number of successful bookings in Rio de Janeiro? What segments are doing well and what could be improved? Propose 2-3 specific recommendations (business initiatives and product changes) that could address these opportunities. Demonstrate rationale behind each recommendation AND prioritize your recommendations in order of their estimated impact.
3. There is also interest from executives at Airbnb about the work you are doing, and a desire to understand the broader framing of the challenge of matching supply and demand, thinking beyond the data provided. What other research, experiments, or approaches could help the company get more clarity on the problem
Your assignment: Summarize your recommendations in response to the questions above in a 5-8 slide presentation intended for the Head of Product and VP of Operations (who is not technical). Include an organized appendix sharing the details of your work conducted for the Rio team, that would be useful for the data team to understand your work.
Grading:
Your assignment will be judged according to:
1. The analytical approach and clarity of your graphs, tables, visualizations,
2. The data decisions you made and reproducibility of the analysis,
3. Strength of recommendations, prioritizations, and rationale behind those,
4. The narrative of your presentation and ability to effectively communicate to non-technical
executives,
5. How well you followed the directions.
Data Provided:
Contacts contains a row for every time that an user makes an inquiry for a stay at a listing in Rio de Janeiro.
id_guest_anon id of the guest making the inquiry.
id_host_anon id of the host of the listing to which the inquiry is made.

id_listing_anon id of the listing to which the inquiry is made.
ts_interaction_first UTC timestamp of the moment the inquiry is made.
ts_reply_at_first UTC timestamp of the moment the host replies to the inquiry, if so.
ts_accepted_at_first UTC timestamp of the moment the host accepts the inquiry, if so.
ts_booking_at UTC timestamp of the moment the booking is made, if so.
ds_checkin_first Date stamp of the check-in date of the inquiry.
ds_checkout_first Date stamp of the check-out date of the inquiry.
m_guests The number of guests the inquiry is for.
m_interactions The total number of messages sent by both the guest and host.
m_first_message_length_in_characters Number of characters in the first message sent
by the guest, if a message was sent
contact_channel_first The contact channel through which the inquiry was made. One of
{contact_me, book_it, instant_book}. *See bottom of page for more detail*
guest_user_stage_first Indicates whether the user has made a booking before sending
the inquiry (past booker). If the user has not booked before, then the user is a new user.
Listings contains data for every listing in the market
id_listing_anon anonymized id of the listing
room_type indicates whether the room is an entire home, private room, or shared room
listing_neighborhood the neighborhood of the listing
total_reviews the total number of reviews of the listing (at the time the data was pulled).
Users contains data for every user
id_user_anon anonymized id of user
words_in_user_profile the number of words in the about me section of the users
Airbnb profile (at the time of contact)
country origin country of the user
Further Information:
There are three ways to book a listing on Airbnb:
1. contact_me The guests writes a message to the host to inquire about the listing. The host has the option to 1) pre-approve the guest to book their place, or 2) they can reject, or 3) they can write a free text message with no explicit acceptance or rejection. If the host pre-approves, the guest can then go ahead and click to make the booking (but is not obligated to).
2. book_it The guest puts money down to book the place directly, but the host has to accept the reservation request. If the host accepts, the booking happens automatically. If you have used Airbnb before, this shows up as a button labeled Request to book.

3. instant_book The guest books the listing directly, without any need for the host to accept or reject actively (it is auto-accepted by the host). This shows up as a button labeled Book.
Note: A host can opt-in to the `instant_book` feature. If a host does so, a guest can use the `contact_me` or `instant_book` channels for booking that particular listing, but cannot use the `book_it` functionality. Alternatively, if a host does not opt in, a guest can use the `contact_me` or `book_it` channels only. We suggest that you browse the Airbnb website and look at listings to see the different ways that you can message a host.