FP-ManasMittal

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An Exploration of Mint.com data.

This is a project about exploring the mint.com dataset.

Mint.com is a popular personal finance website. Specific information about a users financial data (i.e., transaction level credit card information) is downloaded and presented to the user in a nice user interface. The company downloads 10-12 million new credit card transactions a day. No individual dataset/privacy information will be exposed.

Exploring this dataset is likely to lead to new ideas and techniques for this domain specific dataset. Some of the ideas are presented in the powerpoint.


About Mint.com: Mint.com is America’s #1 online personal finance service, providing over 1.5 million users a fresh, easy and intelligent way to manage their money. And it’s free. Launched in September 2007, Mint.com has quickly grown to track nearly $200 billion in transactions and $50 billion in assets and has identified more than $300 million in potential savings for its users.

Mint.com’s innovation is in applying advanced technology to deliver breakthrough ease-of-use. Using patent-pending technology and proprietary algorithms, Mint.com allows users to see all their financial accounts in one place, makes it easy to set and keep to budgets, and helps identify money saving ideas. Mint.com is so effective that more than 90 percent of users say they have changed their financial habits as a result of using the service.

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Siamak Faridani - Apr 11, 2011 03:12:53 pm

I think you have a wonderful dataset. Here are some of my ideas. (1) look at spending increases and come up with a suggested portfolio of stocks that reflect which companies have had sale increases (2) focus on users an allow them to see the effect of their behavior for example a flower that grows when I have zero debt and perishes when my debt grows.

Jvoytek - Apr 11, 2011 03:12:22 pm

For the clock-like visualization, why not show the data on a horizontal plane? It seems like it would be difficult to compare the relative size of the bars when they're pointing many different ways in space.

Dan - Apr 11, 2011 03:20:02 pm

Good background on Mint and the granularity of information that you have available. Sounds like there is a lot of queries that can be constructed, and various trends that you can explore. I would try to find out exactly what you would like to focus on. I like the clock visualization with the budgeted spending idea. Maybe you could allow users to construct Hadoop and Aster queries?

David Wong - Apr 11, 2011 03:25:32 pm

Very cool data set to use! Like the suggestions in class, it will be helpful to identify who the audience is and begin exploring the data to see what's interesting. I like your ideas for the visualization, especially how to handle the large amounts of data, ie offline versus online visualization. As you're looking into correlations, it might be cool to build an interactive tool that allows users to run data mining algorithms (clustering/regression) and visualize the results, taking a crowdsourcing-esque approach to the exploratory data analysis.

Matthew Can - Apr 11, 2011 06:02:24 pm

I think the idea of visualizing correlated spending is interesting, and it's something you should explore in your project. As was mentioned in class, it sounds like you're building an exploratory data analysis tool. Based on statistical analysis, it would be nice if your tool could suggest interesting views, then let the user interact with and make modifications to them.



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