https://github.com/giswqs/postgis

Spatial Data Management with PostgreSQL and PostGIS https://gishub.org/sdm
https://github.com/giswqs/postgis

data-science database geospatial postgis postgres postgresql

Last synced: 6 days ago
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Spatial Data Management with PostgreSQL and PostGIS https://gishub.org/sdm

• Host: GitHub
• URL: https://github.com/giswqs/postgis
• Owner: giswqs
• License: mit
• Created: 2021-03-28T19:33:10.000Z (over 3 years ago)
• Default Branch: master
• Last Pushed: 2022-08-19T14:39:35.000Z (about 2 years ago)
• Last Synced: 2024-10-24T15:57:15.626Z (14 days ago)
• Topics: data-science, database, geospatial, postgis, postgres, postgresql
• Language: Jupyter Notebook
• Homepage: https://postgis.gishub.org
• Size: 13.2 MB
• Stars: 44
• Watchers: 3
• Forks: 33
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

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README

        
# postgis

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/giswqs/postgis/master)

Spatial Data Management with PostgreSQL and PostGIS https://gishub.org/sdm

## Sample Datasets

- https://github.com/giswqs/data

- [cities.csv](https://github.com/giswqs/postgis/blob/master/data/cities.csv)

## Useful Resources

- https://www.w3schools.com/sql/default.asp

## SQL Tutorial

- https://www.scaler.com/topics/sql/

### Change column type

```

ALTER TABLE cities

ALTER COLUMN population TYPE INT

USING population::integer

```

### SQL queries for non-spatial data

The examples below use the sample dataset - [cities.csv](https://github.com/giswqs/postgis/blob/master/data/cities.csv)

- `SELECT * FROM cities`

- `SELECT * FROM cities LIMIT 10`

- `SELECT name, country FROM cities`

- `SELECT DISTINCT country FROM cities`

- `SELECT COUNT(DISTINCT country) FROM cities`

- `SELECT MAX(population) FROM cities`

- `SELECT SUM(population) FROM cities`

- `SELECT AVG(population) FROM cities`

- `SELECT * FROM cities ORDER BY country`

- `SELECT * FROM cities ORDER BY country ASC, population DESC`

- `SELECT * FROM cities WHERE country='USA'`

- `SELECT * FROM cities WHERE country='USA' OR country='CAN'`

- `SELECT * FROM cities WHERE country='USA' AND population>1000000`

- `SELECT * FROM cities WHERE country LIKE 'U%'`

- `SELECT * FROM cities WHERE country LIKE '%A'`

- `SELECT * FROM cities WHERE country LIKE '_S_'`

- `SELECT * FROM cities WHERE country IN ('USA', 'CAN', 'CHN')`

- `SELECT * FROM cities WHERE population BETWEEN 1000000 AND 10000000`