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Performing analysis on past 4000 crowdfunding-projects to uncover the trend, so that an informed decision can be taken to launch a new successful fundraising campaign

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Fundraising campaign Analysis

Performing analysis on past fundraising campaign data to uncover the trend

Overview of Project and Purpose

Louise’s wants to launch a fundraising campaign and for that, she wants to know how different campaigns performed in relation to their launch dates and their funding goals. We have a dataset that has data from different campaigns. I used this data to visualize campaign outcomes based on their launch dates and their funding goals.

Analysis and Challenges

To analyze the data, firstly, I cleaned the data by using various Excel functions. For example, I converted the date into correct and readable format. Then, I color-coded the outcomes and percentage funded. I used the pivot table and Vlookup function to create more crisp and useful data tables and then created the charts to have a clear view of the trends.

Analysis of Outcomes Based on Launch Date

Outcomes Based on Launch Date

Analysis of Outcomes Based on Goals

Outcomes Based on Goals

Challenges and Difficulties Encountered

It's very difficult to understand that much data in the starting as it is my first project. But, I did it step by step, and I am able to clean and make it readable. Another challenge I faced is that It took a lot of time as I am new to this. However, doing this Project, I learned a lot and now I can create a Pivot table, use filters in effective ways, and do Vlookup.

Results

What are two conclusions you can draw about the Outcomes based on Launch Date?

1- The most successful events launched in the months of May, June, and July. Therefore, these months are ideal for launching an event. 2- December is the worst month to launch an event because the probability of success is the least in this month.

What can you conclude about the Outcomes based on Goals?

1-The probability of success decreases as the Goal amount increases and vice versa. The Goal amount should be less than $15000 to have the probability of success more than failure.

What are some limitations of this dataset?

The data do not have sufficient information about the common attributes of a successful and failed campaign.

What are some other possible tables and/or graphs that we could create?

We can create a table and draw graphs about the outcomes based on the length of the events.

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Performing analysis on past 4000 crowdfunding-projects to uncover the trend, so that an informed decision can be taken to launch a new successful fundraising campaign

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