https://github.com/mohamedsebaie/udacity-communicate-data-findings-fordgobike-project
Udacity-Communicate-Data-Findings-FordGoBike-Project from from (Udacity Data Analysis Advanced Nanodegree Program(Projects))
https://github.com/mohamedsebaie/udacity-communicate-data-findings-fordgobike-project
Last synced: 7 months ago
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Udacity-Communicate-Data-Findings-FordGoBike-Project from from (Udacity Data Analysis Advanced Nanodegree Program(Projects))
- Host: GitHub
- URL: https://github.com/mohamedsebaie/udacity-communicate-data-findings-fordgobike-project
- Owner: MohamedSebaie
- Created: 2020-12-03T18:29:20.000Z (almost 5 years ago)
- Default Branch: main
- Last Pushed: 2020-12-03T18:32:36.000Z (almost 5 years ago)
- Last Synced: 2025-01-21T12:28:17.394Z (9 months ago)
- Language: HTML
- Size: 7.73 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: readme.md
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README
# (Ford GoBike System Data)
## by (Mohamed Sebaie Sebaie)
## Dataset
> - This data set includes information about individual rides made in a bike-sharing system covering the greater San Francisco
Bay area.
> - Ford, in collaboration with Motivate, is launching Ford GoBike – a regional bike-share network designed to enhance sustainable transportation in the San Francisco Bay Area.
> - Beginning tomorrow, Ford GoBike is expanding the area’s existing bike-share program to 546 stations and 7,000 bikes – serving San Francisco, San Jose and East Bay; riders can access GoBike through the FordPass™ app.
> - Designed for the hilly urban environment of San Francisco, Ford GoBikes are built to be comfortable and easy to ride.
## Summary of Findings
> **- For all week days the range of start hour is between 9 to 18 and that show there are week days that the spread of subscribers is very close to the customer.**
> **- For femals their median start_hour are earlier than males in some weekdays.**
> **- The spread of subscribers to customers is the same for nights but for morning there is a low spread for subcribers than customer and for afternoon also.**
> **- The start hour for all genders seems equal for its own periods.**
> **- The Sunday and Saturday are the lowest number of trips for all start stations but the highest not always Thursday.**
> **- afternoon and morning periods are the highest for number of trips for all top start stations.**
> **- The males are the highest for number of trips for all top start stations.**
## Key Insights for Presentation
> **- We could say that with increase the distance the duration of trip increse but as i mentioned before that at 0 distance there are trip duration and that becuase the fact that may the start and end station the same but they make a trip an go back to the same start point.**
> **- males are more as subscriber and customer than Feamles.**
> **- The subscibers are more than customers in all week days but the customers number of bike trip is the same in all weekdays.**
> **- The least hours that have bike trips are from 10pm to 6am and the highest hours are 3pm to 7pm and from 7am to 9am. And the subscribers are higher for all hours. Besides,the most hours with trips are morning and afternoon but also there are some hours at night with high trips but that didn't obvious in previous plots as we said in perivious section that morninig and afternoon trips are double the night trips.**
> **- There is a symetry for median of start hour for all weekdays which is between 14 to 15 but for only friday it is 11 to 12.**
> **- The weekend days (Sunday and Saturdays) are the least number of bike Trips.But it seems that at (Sunday and Saturdays) the trips duration is higher than for other weekdays.**
> **- The median trips duration for females is slightly higher than males despite of the number of males are higher and for afternoon period is slightly higher than other periods.**
> **- The median distance for all week days are almost the same But we can say that the median trips distance for females is slightly higher than males despite of the number of males are higher and for morning periods is slightly higher than other periods and that may because the bikers go to their work by bikes.**
> **- Most star_hours are between 9 to 18 for all genders and also the median start hour is the same.**
> **- The median star_hour for afternoon and night periods is closer. the spread of data for morning period is between 10 to 11.**