the characteristics of data being generated by these systems make them attractive for the research

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

Data understanding and modelling

Learning Outcomes 

1. Demonstrate an understanding of data visualisation and apply key techniques used to visualise data for better communication 

2. Apply basic modelling techniques used in business analytics – Linear predictive modelling

Task: Data modelling (100%) – Word count: max 500 words Could you predict the total count of the rental bike? - Linear regression predictive analysis

Data Set Information: Bike-sharing systems are a new generation of traditional bike rentals where the whole process from membership, rental and return has become automatic. Through these systems, a user can easily rent a bike from a particular position and return to another position. Currently, there are about over 500 bike-sharing programs around the world which are composed of over 500 thousand bicycles. Today, there exists a great interest in these systems due to their important role in traffic, environmental and health issues.

Apart from interesting real-world applications of bike-sharing systems, the characteristics of data being generated by these systems make them attractive for the research. Particularly, the duration of travel, departure and arrival position is explicitly recorded in these systems. This feature turns the bike-sharing system into a virtual sensor network that can be used for sensing mobility in the city. Hence, it is expected that the most important events in the city could be detected via monitoring these data.

Here is the variable description:

Independent variables

1 instant: record index

2 workingday: if a day is neither weekend nor holiday is 1, otherwise is 0.

3 temp: Normalized temperature in Celsius.

4 atemp: Normalized feeling temperature in Celsius.

5 hum: Normalized humidity. The values are divided to 100 (max)

6 windspeed: Normalized wind speed. The values are divided to 67 (max)

Dependent variable

1 cnt: count of total rental bikes including both casual and registered  

Data files (training dataset and test dataset) are provided!

Submission requirements:

In your final submitted work, you need to include:

- One Word document file (demonstrate your strategy of data preprocessing,

descriptive analysis, predictive model results and analysis/comments). WORD DOCUMENT MUST BE 500 WORDS ANSWERING EACH SECTION ABOVE FROM 1 -4 . 

- One Excel files with all data results (To demonstrate the analysis process:

descriptive analysis for each variable, regression results, prediction results and evaluation). 

Attachments:

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