Data Analysis Report: Crowdfunding, AirBNB and Investment Options

This report presents a comprehensive analysis of crowdfunding projects using Kickstarter data and AirBNB investments in the Greater Melbourne area. The first part of the report focuses on crowdfunding, exploring data using BigML and SPSS tools to identify significant attributes for project success, including linear regression analysis. The second part investigates AirBNB, evaluating investment feasibility and suitability for a $2 million property, including the use of SPSS for data analysis. The report addresses key questions regarding investment viability, optimal property and room types for maximum return on investment, and provides detailed data analysis methods and results, referencing relevant sources.

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Table of Contents
Part 1 - Crowdfunding..................................................................................................................................................... 1
1.1 Data Explore....................................................................................................................................................... 1
1.2 Determination of Most Important Attributes of the Project.................................................................................7
1.3 Justification of Most Important Attributes of the Project...................................................................................13
Part 2 - AirBNB.............................................................................................................................................................. 15
2.1 Questions.......................................................................................................................................................... 15
2.2 Data Analysis Method....................................................................................................................................... 18
References....................................................................................................................................................................... 23
Appendix........................................................................................................................................................................ 24
References...................................................................................................................................................................... 24

Part 1 - Crowdfunding
This report revolves around crowdfunding, for which kickstarter.com website is
considered. This project concentrates on analyzing the considered website by usingBigML and
SPSS tools. The objective of crowdfunding is to collect funds to work on creative projects,
where an individual name Penny Robinson events this fund raising. Her talents include writing,
singing and painting. The background of crowdfunding includes that Penny lacks investments to
show her creative talents, so the idea of funding is used to support funds for her talents. She has
taken initiative of gathering necessary data related to crowdfunding websites that will help to
collect the cash required. Mostly, the website investigated permits talents such as stage events,
games and so on for gathering a large number of crowds to collect the funds for the selected
projects.
This report will present the details of this project, to get the necessary funds through
crowdfunding website. This project will comprises of tasks such as studying and analyzing the
gathered data; finding extra information which will help the project; Finding out project’s highly
significant attributes; Evaluating the success of the project; Concentrating on the significant
attributes; and utilizing tools like SPSS and BigML.
Therefore, the above tasks will help in discussing and evaluating best solution for Penny
to have a successful project.
1.1 Data Explore
The following figure shows the provided attributes; based on this data the kick-starter
data will be studied.
The tools like SPSS and BigML are used to analyze the data.
1

In SPSS
Open SPSS tool.
Go to FileImportExcel.
Upload the Kick-Starter data present in an excel file.
This complete Kick Starter’s data exploration.
In BigML
Open BigML, which helps to explore the Kick Started data.
Navigate to BigML online.
2

Upload the given data as illustrated in the below figure.
The following figure indicates the success of adding the source.
Once the data source is added configure the data set has to the BigML tool.
Choose Configure data setfor data exploration.
3

Then, create a dataset with a data set name.
The following figure illustrates the data set creation process.
4

At last, the data is explored successfully.
This helps to identify the highly essential attributes for this project.
1.2 Determining highly significant Attributes
The following sectioncollects the necessary money via, crowdfunding for Penny’s
creative project. The objective of this section is to recognize the highly essential attributes.
In SPSS (Statistical Package for the Social Sciences),
5

Next, for this project we shall select the attributes which are important and vital for
utilising them for the linear regression method in SPSS.
On SPSS, for doing linear regression follow the below mentioned steps:
1) Go to Analyze Regression Linear.
2) Choose the independent variable and dependent variables such as project_sucess
and highest_pledge_reward_$.
The linear regression’s output is represented below,
Model outputis displayed in the below table,
Below is the display of the Model summary,
Below is the representation of the ANOVA table,
6

Below is the display for the output of Coefficient’s,
Below is the representation of the Residual statistics,
7

In BigML,
The essential attributes of this project are represented in the below figure. These
attributes are selected with the help of ensemble techniques.
Create ensemble once the objective type and field is selected.
8

The following figure illustrates the process of ensemble.
The ensemble’s output is displayed below.
9

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