Jupyter Notebook file.
Budget: $30 – $250 USD
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
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
Related categories:
Python
Statistics
Data Mining
Statistical Analysis
SPSS Statistics
Data Science
NumPy
Data Visualization
Data Analysis
Pandas