Type of data: Check all that apply. Use "Other" to specify other types so that we can include them in further updates. |
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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. |
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