Project description

we investigated the relationship between foreign visitors and view spots by using a tourism app data.One of Japan\’s busiest tourist seasons is underway, with cherry blossoms in full bloom in large parts of the country. Visitors from around the world have long flocked to Japan at this time of year. But recent data shows an unexpected development. Places that aren\’t well known among Japanese residents are becoming increasingly popular with foreign tourists.

What makes this project innovative?

It is easy to simply visualize tourist attraction data. However, by analyzing the attributes of tourists and comparing them with past data, we can discover new unique news perspectives from the data. Based on the "some unnaturalness" revealed from data analysis, we will actually research the local area. There is innovation in journalism that identifies causes that can not be understood in numerical figures.

What was the impact of your project? How did you measure it?

In the Japanese news site of our company, the total engaged mins was 67,736 (from chartbeat). This was the longest in our web feature news published in a week(from April 1 to April 6, 2019) . For some inconsistencies that have become apparent in data analysis, we believe that local area research are effective.

Source and methodology

We used data from the tourism app "Japan Travel" to analyze the number of visitors at 48 viewing spots in Tokyo during last year's cherry blossom season.We used spreadsheet software for data analysis and software developed by our company for the data visualization.

Technologies Used

Data processing was done in spreadsheet. For the visualisation we built a custom visualisation system named NMAPS with OpenGL and some our developed technology.

Project members

- Keisuke Takada(NHK World), Producer ( - Sayaka Kaneko(NHK World), Producer (


Additional links


Click Follow to keep up with the evolution of this project:
you will receive a notification anytime the project leader updates the project page.