言語：
英語
プロダクト種別：
データ
親プロダクト：
JAPANESE PREFECTURE DATA(日本の都道府県データ)
This dataset is a view that combines item data from the “2016 Economic Census Activity Survey by Industry” section of the Statistical Table [PR_ST] of the All Statistics Survey, with the prefecture statistical master [PR_ST_MST], prefecture survey master [PR_TB_MST], and prefecture master table [PR_MST].
Please select the table you wish to view from the data dictionary in the snowflake marketplace.
Click here to view sample data from Japanese Prefecture Data
Issue:
There are records where ESTATDB statistic name [ESTATDB_STATS_FULL_NAME] is the same, but the statistics value [STATS_VALUE] is different.
Reason for difference:
This is because the ESTATDB table name [ESTATDB_TABLE_NAME] is different.
Details:
This is an example for table number 3-3 and table number 4-3-1.
ESTATDB_STATS_FULL_ID | ESTATDB_STATS_FULL_NAME | STATS_VALUE | PREF_NAME | ESTATDB_TABLE_NAME |
0112020009|202001|0|0|00|0 | 人口|国籍総数|総数|総数|総数 | 5,224,614 | 北海道 | 3-3男女，年齢（5歳階級），出生の月，国籍総数か日本人別人口－全国，都道府県，市区町村 |
0112020010|202001|0|0|0|00 | 人口|国籍総数|総数|総数|総数 | 4,609,750 | 北海道 | 4-3-1男女，年齢（5歳階級），配偶関係，国籍総数か日本人別人口（15歳以上）－全国，都道府県，市区町村 |
※This is an example from another view, but the same issue occurs in this view.
Example:
Although ESTATDB_Statistic_Name [ESTATDB_STATS_FULL_NAME] is the same, the statistic value [STATS_VALUE] is different.
The reason for the difference in the statistic value is that Table 3-3 is the total population, including those under 15 years old, while Table 4-3-1 is the total population of those 15 years old and above.
Note:
In this case, if you only specify ESTATDB_Statistic_Name [ESTATDB_STATS_FULL_NAME], the result will be the sum of the statistics values of two tables.
Solution:
When specifying ESTATDB_Statistic_Name [ESTATDB_STATS_FULL_NAME] to output the statistic value, please specify ESTATDB_Statistic_Code [ESTATDB_STATS_FULL_ID] or ESTATDB_Table_Name [ESTATDB_TABLE_NAME] together.