En cours

BIXI data analysis using R Programming

Objectives and Goals:

1. By using software R or some data mining techniques, Analyze the open data of Bixi Bikes from

their online site of year 2014, 2015 and 2016, resulting in prediction for year 2017.

2. Need a report of 25 to 30 pages.

3. Compare them and analyze which months are very demanding for BIXI and also compare them.

Categories them as the busiest and less busy months.

4. Also, compare the summer time (May, June, July and August) and define tourism and vacation

time and how it can benefit Montreal.

5. Check where are more users for bikes and the need to put more bikes in the docks. For example,

downtown areas, near universities, Tourism areas, etc.

6. Describes about how Canada’s weather effects all the facility of BIXI bikes to the users.

7. What can we do to use more BIXI bikes so that it will help environment as well? For instances,

offers, discounts, stylish bikes that been recently used by the BIXI people.

8. Make clusters, line graphs, histograms, tables, diagrams, figures, etc.

9. At the end, Benchmark the Montreal’s BIXI system with the Toronto’s or Vancouver’s BIXI

system. Some basic fundamentals that can be used, for example, users, number of bikes being

used, facilities, modes of payment, availability, etc.

Compétences : Traitement de Données, Langage de programmation R

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Concernant l'employeur :
( 12 commentaires ) Montreal, Canada

N° du projet : #12720670

Décerné à :

Omie217

I am a scientist who regularly uses R and I publish! Look forward to discussing more details with you :)

189 $ CAD en 5 jours
(3 Commentaires)
2.1

23 freelance ont fait une offre moyenne de 294 $ pour ce travail

schoudhary1553

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5.5
suyashdhoot

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5.4
aki003iitr

4 years of experience in data [url removed, login to view] science and analytics professional with excellent coding skills in R and Python .  - Proficient in R, Python, SQL,Matlab ; Hands on experience with VBA & Tableau - Statistic Plus

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4.4
rutvikparmar

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quantmacro

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3.9
MasimovAnar

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3.8
KavTan

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3.1
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istatisticSPSS

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2.5
Kuntalbakuli

I have checked the file BIXI [url removed, login to view] and MedardCarusoThomasJTG2016. I have checked the data set from the link https://secure.bixi.com. I am practicing R for ten years, from my graduation day. I can do this project Plus

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1.6
artigupta16

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dhrima

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GSPavan

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MetaoriginLab

Though I am new here but my team has 4 years of experience into R [url removed, login to view] very well execute this Project

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koyelpghosh

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cruzjulian

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himanshusikaria

Having worked on Bike Rental dataset earlier ([url removed, login to view]) I have an advantage of better understanding the problem at hand. My strength is in data visualisation and providing strategic insights. Also having Plus

277 $ CAD en 5 jours
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