Building Website
- Stare: Closed
- Premiu: $50
- Intrări primite: 13
Sumarul concursului
Please Ignore the name of the contest.
The name of the contest should have been "Analyzing data."
The person who has the most insights and best explanation will win. This is a sample data set, anyone who wins this competition will be considered for the contract.
Rules:
If there is a tie, the first entry will win.
The winner may be selected in the next 7 hours. Time starts now.
Code and other materials are required when the winner is selected.
No cheating. You may barrow codes or do whatever but no cheating.
Your codes should be neat.
Visualization should be relevant.
A brief explanation is enough.
1). Data analysis using Python or Power-BI
I want to answer the following questions and write a brief paragraph for each.
Note; RRate, Price, Loyalty_duration are the three most important variables.
1. How does RRate change with every dollar increment in price?
2. Based on history, a higher RRate is better. What is the best price to get the best RRate?
3. Method 1 vs Method 2
4. RRate vs all the other variables.
5. What is the best model to calculate RRate?
6. Any other insights
List of variables in the dataset:
(1). Price; money
(2).Loyalty_duration ; Loyalty_duration of clients.
(3).Price_strategyBins; price in bins/groups. Category.
(4). Client_type; "yes" or "no" if the client purchase in bulk.
(5).Payment_method; How often we monitor payment. "1A1", "2A30", "3A60", "4A90". Category
(6). Method ; This is the method of monitoring payments. A, B and C. Category
(7). RRate; If the client will return or not. Float / numerical.
Good luck!
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