Consumer Complaint Dataset

About the data

The dataset is provided by an official U.S. government website, which is a third party that provides business relationship bewteen company and consumer. The Consumer Complaint Database is a collection of complaints on a range of consumer financial products and services, starting from July 2011. The target about collecting the dataset is to build a relationship between consumer and company and focus on solve various financial bank issues. Moreover, by analyzing the dataset, it is effecient to supervise company, enforce federal consumer financial laws and write rules and regulations. All the infomation are open public and government. The column names and descriptions in the dataset is shown below.

FIELD NAME DESCRIPTION
Date received The date the CFPB received the complaint. For example, “05/25/2013.”
Product The type of product the consumer identified in the complaint. For example, “Checking or savings account” or “Student loan.”
Sub-product The type of sub-product the consumer identified in the complaint. For example, “Checking account” or “Private student loan.”
Issue The issue the consumer identified in the complaint. For example, “Managing an account” or “Struggling to repay your loan.”
Sub-issue The sub-issue the consumer identified in the complaint. For example, “Deposits and withdrawals” or “Problem lowering your monthly payments.”
Consumer complaint narrative Consumer complaint narrative is the consumer-submitted description of “what happened” from the complaint. Consumers must opt-in to share their narrative. We will not publish the narrative unless the consumer consents, and consumers can opt-out at any time. The CFPB takes reasonable steps to scrub personal information from each complaint that could be used to identify the consumer.
Company public response The company’s optional, public-facing response to a consumer’s complaint. Companies can choose to select a response from a pre-set list of options that will be posted on the public database. For example, “Company believes complaint is the result of an isolated error.”
Company The complaint is about this company. For example, “ABC Bank.”
State The state of the mailing address provided by the consumer.
ZIP code The mailing ZIP code provided by the consumer. This field may: i) include the first five digits of a ZIP code; ii) include the first three digits of a ZIP code (if the consumer consented to publication of their complaint narrative); or iii) be blank (if ZIP codes have been submitted with non-numeric values, if there are less than 20,000 people in a given ZIP code, or if the complaint has an address outside of the United States).
Tags Data that supports easier searching and sorting of complaints submitted by or on behalf of consumers.

For example, complaints where the submitter reports the age of the consumer as 62 years or older are tagged “Older American.” Complaints submitted by or on behalf of a servicemember or the spouse or dependent of a servicemember are tagged “Servicemember.” Servicemember includes anyone who is active duty, National Guard, or Reservist, as well as anyone who previously served and is a veteran or retiree.
Consumer consent provided? Identifies whether the consumer opted in to publish their complaint narrative. We do not publish the narrative unless the consumer consents, and consumers can opt-out at any time.
Submitted via How the complaint was submitted to the CFPB. For example, “Web” or “Phone.”
Date sent to company The date the CFPB sent the complaint to the company.
Company response to consumer This is how the company responded. For example, “Closed with explanation.”
Timely response? Whether the company gave a timely response. For example, “Yes” or “No.”
Consumer disputed? Whether the consumer disputed the company’s response.
Complaint ID The unique identification number for a complaint.

If you wish to know more infomation about the dataset, you can view the HERE. This is a very good source web. You can not only see the details about data, but also is able to building visualizations, such as bar chart, line chart, etc, by simply clicking on the "visualize" button, and choose whatever columns you would like to see.



My interest about the data

My interest in financial field is one of the reasons that I choose this dataset. I am curious about the types of financial Issues consumer complains about. This topic is very related to my life, since I use credit card everyday, and I have got some troubles or issues as well. I try to figure out what is the top ten issues in the banks, to see weather my problems are in the list and try to figure out something useful or interesting from the visualization.