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Here we will be working on a uber cab drive data set and solve below questions step by step:
github notebook link: https://github.com/goodluck08/pandas_...

Q1. Show the last 10 records of the dataset.
Q2. Show the first 10 records of the dataset
Q3. Show the dimension of the dataset.
Q4. Show the size of the dataset.
Q5. Print the information about all the variables of the data set.
Q6. Check for missing values.
Q7. How many missing values are present?
Q8. Get the initial data (name it 'df') with dropping the NA values
Q9. Get the summary of the original data (before dropping the 'na' values).
Q10. Check the information of the new dataframe.
Q11. Get the unique start destinations
Q12. What is the total number of unique start destinations?
Q13. Print the total number of unique stop destinations
Q14. Print all the Uber trips that has the starting point of San Francisco.
Q15. What is the most popular starting point for the Uber drivers?
Q16. What is the most popular dropping point for the Uber drivers?
Q17. List the most frequent route taken by Uber drivers.
Q18. Print all types of purposes for the trip in an array.
Q19. Plot a bar graph of Purposes vs Distance.
Q20. Print a dataframe of Purposes and the distance travelled for that particular Purpose.
Q21. Plot number of trips vs Category of trips.
Q22. What is proportion of trips that is Business and what is the proportion of trips that is Personal?

link for dataset: https://github.com/goodluck08/practic...

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good luck

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