Jupyter Notebook file.

Замовник: AI | Опубліковано: 21.12.2025
Бюджет: 250 $

Please refer to the file below for the Project on Python. The problem statement, instructions, and all relevant details are mentioned in the file( Please Reach out and will share the files with you). Please go through it thoroughly before attempting the project. Please find below the Project instructions: You have to submit 1 file: Jupyter Notebook file. Due Date 21 DEC 23:59 UAE timezone. Rubric. Criteria 1: How many rows and columns are present in the data? Points 1 Criteria 2: What are the datatypes of the different columns in the dataset? Points 1 Criteria 3: Are there any missing values in the data? Points 1 Criteria 4: Check the statistical summary of the data. What is the minimum, average, and maximum time it takes for food to be prepared once an order is placed? Points 3 Criteria 5: How many orders are not rated? Points 2 Criteria 6: Explore all the variables and provide observations on their distributions. Generally, histograms, boxplots, countplots, etc. are used for univariate exploration. Points 10 Criteria 7: Which are the top 5 restaurants in terms of the number of orders received? Points 2 Criteria 8: Which is the most popular cuisine on weekends? Points 2 Criteria 9: What is the mean order delivery time? Points 2 Criteria 10: The company has decided to give 20% discount vouchers to the top 3 most frequent customers. Find the IDs of these customers and the number of orders they placed. Points 3 Criteria 11: Perform a multivariate analysis to explore relationships between the important variables in the dataset. It is a good idea to explore relations between numerical variables as well as relations between numerical and categorical variables Points 12 Criteria 12: The company charges the restaurant 25% on the orders having cost greater than 20 dollars and 15% on the orders having cost greater than 5 dollars. Find the net revenue generated by the company across all orders. Points 5 Criteria 13: What are your conclusions from the analysis? What recommendations would you like to share to help improve the business? Points 6