Readme.txt

Q1: Data Lading In Dict
Q2: Get user input for city (chicago, new york city, washington). HINT: Use a while loop to handle invalid inputs
Q3 : Get user input for month (all, january, february, ... , june)
Q4: Get user input for day of week (all, monday, tuesday, ... sunday)
Q5: Loads data for the specified city and filters by month and day if applicable.
Q6: load data file into a dataframe
Q7: convert the Start Time column to datetime
Q8: Extract month and day of week from Start Time to create new columns
Q9: filter by month if applicable
Q10: Displays statistics on the most frequent times of travel.
	Q10.1: display the most common month
	Q10.2: display the most common day of week
	Q10.3 display the most common start hour
Q11:Display most commonly used start station
Q12: display most commonly used end station
Q13: display most frequent combination of start station and end station trip
Q14: Displays statistics on the total and average trip duration.
	Q 14.1: display total travel time
	Q14.2: display mean travel time
Q15: Displays statistics on bikeshare users
	Q15.1: Display counts of user types
	Q15.2: Display counts of gender
	Q15.3 Display earliest, most recent, and most common year of birth