truestar inc.: Prepper Open Data Bank – Japanese Census & Spatial Data
Statistics and street level spatial data updated every 5 years
日本語はこちら → https://truestar.co.jp/prepper/jcsd/
Prepper Open Data Bank provides a variety of Japanese open data, which has already been cleansed and is ready for use.
The datasets include the Japanese regional polygon data, which is edited by truestar based on the open data such as the national census and the data of Digital National Land Information.
We combined the polygon data and aggregated numerical data to make it one record for each prefecture code, city code, and street code.
This makes it easier to match with the statistical data of the national census. These datasets already include the basic data such as population or the number of households. You can analyze the trading area by street and visualize it easily.
In addition, you can also share the data by geography type and do the mapping easily by using the BI or GIS tools. In general, when you use the population statistics provided in the open data, especially, the subregional dataset is too large and often difficult to deal with. However, by sharing the edited dataset, we can make the trading area analysis more effective and speedier.
– ADDRESS_CODE | 11桁住所コード
– PREF_CODE | 都道府県コード
– PREF_NAME | 都道府県名
– CITY_CODE | 市区町村コード
– CITY_NAME | 市区町村名
– STREET_CODE | 町丁目コード
– STREET_NAME | 町丁目名
– STREET_NAME1 | 大字・町名
– STREET_NAME2 | 字・丁目名
– INCLUDED_IN_AREA_CODE | 秘匿先情報
– INCLUDING_AREA_CODES | 合算地域
– POLYGON_JP_STREET | 町丁目ポリゴン
– POPULATION | 人口【人】
– POPULATION_MALE | 男性人口【人】
– POPULATION_FEMALE | 女性人口【人】
– NUMBER_OF_HOUSEHOLDS | 世帯数【世帯】
– AVERAGE_AGE_MALE | 男性平均年齢【歳】
– AVERAGE_AGE_FEMALE | 女性平均年齢【歳】
Edited by truestar based on the following data:
the national census 2015 provided by e-Stat (Japanese Government Statistics)
SUB REGIONAL BOUNDARY DATA
About the Provider:
Using varied business intelligence (BI) tools such as Tableau, Alteryx, and Exploratory, we provide a wide range of support. We provide insights and clarity on issues ranging from organizing operations, defining the requirements for processing, analyzing, and visualizing data, to introducing and implementing various tools. We enable clients to realize an optimal use of data in various fields, such as marketing, production management, human resources, or finance.
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