ST_CS20_MST

言語:

英語

プロダクト種別:

データ

親プロダクト:

JAPANESE STREET DATA(日本の町丁目データ)

Summary

This dataset is a master data of town block based on the 2020 national census published by the government statistics e-Stat, collected and processed by truestar.

ST_CS20_MST: Table with column names that are easy to handle for analysis and system integration in SQL.

E_ST_CS20_MST: View with English column names that are easy to use in BI tools such as Tableau.

J_ST_CS20_MST: View with Japanese column names that are easy to use in BI tools such as Tableau.

Sample Data

Please select the table you wish to view from the data dictionary in the Snowflake Marketplace.

Click here for sample data from Japanese Street Data

Data Fields

RAW_NAME

E_NAME

J_NAME

COMMENT

ST_CS20_MST_001

Address code

11桁住所コード

CITY_CODE+STREET_CODE

ST_CS20_MST_002

Pref code

都道府県コード

出典:e-Stat 令和2年国勢調査

ST_CS20_MST_003

Pref name

都道府県名

出典:e-Stat 令和2年国勢調査

ST_CS20_MST_004

Pref code and name

都道府県名コード付

ST_CS20_MST_005

City code

市区町村コード

出典:e-Stat 令和2年国勢調査

ST_CS20_MST_006

City name

市区町村名

出典:e-Stat 令和2年国勢調査

ST_CS20_MST_007

City code name

市区町村名コード付

ST_CS20_MST_008

Street code

町丁目コード

出典:e-Stat 令和2年国勢調査

ST_CS20_MST_009

Street name

町丁目名

出典:e-Stat 令和2年国勢調査

ST_CS20_MST_010

Street code and name

町丁目名コード付

ST_CS20_MST_011

Research year

調査年度

ST_CS20_MST_012

Population

人口【人】

出典:e-Stat 令和2年国勢調査

ST_CS20_MST_013

Number of households

世帯数【世帯】

出典:e-Stat 令和2年国勢調査

ST_CS20_MST_014

Area

面積(参考)【km2】

出典:e-Stat 令和2年国勢調査 | truestar加工あり(単位変更)

Example

The following Youtube video introduces an actual visualization example using Tableau.

References

eStat Census/2020 Edition/World Geodetic System Latitude-Longitude Shapefile Version
https://www.e-stat.go.jp/gis/statmap-search?page=1&type=2&aggregateUnitForBoundary=A&toukeiCode=00200521&toukeiYear=2020&serveyId=A002005212020&coordsys=1&format=shape&datum=2000

Prepared by truestar based on the above source.

Special Notes

※Processing of small area data

Regarding the processing of small area data, we determine whether the records are held at the "Oaza-cho" level or the "Aza-chome" level based on the statistical information contained in the original data. We then apply the necessary processing to ensure that each record represents a polygon with the appropriate granularity.

The basic logic is the following three patterns:

① The case where the original data does not contain records at the "Aza-chome" level.

Adopted because there is no record at the level of "Aza-chome".

② The case where the original data contains records at the "Aza-chome" level and has statistical value.

Adopted: Records at the "Aza-chome" level.
Not adopted: Because there is a record at the "Aza-chome" level.

③ The case where the original data contains records at the "Aza-chome" level but does not contain statistics.

Adopted: Records at the "Aza-chome" level are available, but there are no statistics ⇒ Polygon integration occurs.
Not adopted: Because there are no statistics, records at the "Oaza-cho" level are adopted.