Otaku demographic statistics in Japan

  • Last Update:January,10,2014 Created:January,10,2014
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Title of the dataset Otaku demographic statistics in Japan
Provenance of the dataset otakujournalist.com
How were the data collected/created? What was the cost? The dataset were collected by several methods such as web-based polls, on-site surveys and etc.
Data sharing policy Other
Data sharing policy

About data analysis and simulation

Type of data: Check all that apply. Use "Other" to specify other types so that we can include them in further updates. text number table
Variable labels of dataset (the names of the variables) INTERESTING GENRE|AGE|HOMETOWN|CAREER|SEX|REVENUE
Outline of data The dataset provide demographic information about otaku or people with obsessive interests, commonly the anime and manga in Japan.
Simulation process The dataset can be analyzed many ways depending on the area of interests. For instance, if a company doing business in entertainment wants to attract people from this group, that company may design some mascot character of its product to serve the group’s preference. The dataset can also be analyzed to find suggestive solutions to some social problems like Hikkikomori and some other kinds of social disorders.
Expected outcome of the process (obtained knowledge, analysis results, output of tools) N/A
Anticipation for analyses/simulations other than the typical ones provided above Since anime and manga are considered as a subculture in Japan, the result may offer a better understanding of people who are obsessed with a hobby to the extent that it becomes a major part of their identity.

Other

Comments The dataset is a valuable source that provides the information related to the matter concerned. The selection of methods used to analyze the dataset is a very important step as different methods lead to different interpretations. Thus, we must carefully combine the dataset with a proper method to obtain the most favorable result.
What kind of data/tools do you wish to have? A computer software with robust computing functions that is user-friendly and flexible enough for users to design the dataset according to their preferences.
Visualized information
Sample data

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