以下为卖家选择提供的数据验证报告:
数据描述
Context
This dataset is part of a series that contains three other datasets:
- UN SDG - EU 27 sample datamart (subset for 7 KPIs)
- Selected Indicators from World Bank 2000-2019: 33 indicators from World Bank website for a data project
- EU 27 Energy sources - consumption 1990-2018 / energy production, import, export by source - consumption by sector
Content
Dataset components
name | size | contents | source |
---|---|---|---|
it_1km.csv | 114.34 MB | Italy shape with 1km resolution | A |
it_10km.csv | 1.17 MB | Italy shape with 10km resolution | A |
it_100km.csv | 15.66 KB | Italy shape with 100km resolution | A |
Sources
source code | organization website | container file link |
---|---|---|
A | EEA European Environment Agency | Italy shapefile |
B | ISTAT Istituto Nazionale di Statistica | BASI TERRITORIALI E VARIABILI CENSUARIE at 2011 |
Processing done
Source: A
Converted .shp files (same name as the one under "dataset components") into CSV by using GDAL 3.0.4, released 2020/01/28, offline, under Windows 10, using the following command line: ogr2ogr -f CSV
Source: B
The data from this source for the time being are not uploaded due to errors in processing the sources (i.e. formatting errors in both .shp files and, when available, the .csv conversion provided by the source).
Anyway, if interested: the list of all the location as of 2011 is within the ZIP file Localita_2011_Point.csv from "Località italiane (shp)"
Selected the ZIP file containing the set of files WGS 84 UTM Zona 32n, latest available as of 2020-12-06: 2011
Release date and timeframe coverage
The collated dataset was released on 2020-12-06.
No timeframe coverage information available (the "localita" file is stated by ISTAT as updated at 2011).
Acknowledgements
Thanks to EEA and ISTAT for publishing the data
Inspiration
Connecting different data points to identify potential correlations, as part of my knowledge update/learning process (and to complement my other publication activities).
As part of a long-term publishing project (started in 2015 at Expo2015 in Milan), routinely share data that collect along my writing journey- generally via articles on my website on business and social change.
