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https://github.com/mjb3/biossdata.jl
Data stuff for Chris
https://github.com/mjb3/biossdata.jl
Last synced: 2 days ago
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Data stuff for Chris
- Host: GitHub
- URL: https://github.com/mjb3/biossdata.jl
- Owner: mjb3
- Created: 2020-10-08T01:54:16.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2020-10-30T09:17:41.000Z (about 4 years ago)
- Last Synced: 2024-11-18T06:58:48.825Z (2 months ago)
- Language: Julia
- Size: 14.4 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Population data
This repo contains:
- A SQLite database with population densities, ready to query.
- SQLite commands and DDL scripts for initialising the database from scratch for reference.
- Julia code for fetching some data (see examples folder)
- Sample queries (see the SQL folder)
## Database: db/chrisbits.db
### Tables
- `spatial_map_sm` various different geographical groupings
- `areadata_gender` population density by LAD / gender
- `areadata_age` population density by LAD / age (year)
- `weekly_deaths` deaths by LAD / cause / location, etc
### Using the database
SQLite databases are files. One way to access them is by using the command line tool. Open a terminal and `cd` to the database directory, then run:
```
cmd> sqlite3 chrisbits.db
```
Use `.help` to find information on commands such as `.tables` which lists the tables in the database. You can also run queries:
```
sqlite> .headers on
sqlite> SELECT * FROM spatial_map_sm LIMIT 10;
```
The [SQLite documentation][sqlite_docs] has useful information about writing queries and other things.
### Querying from Julia, R, etc
The command line tool can be used to run queries [inline or via scripts] and save the results to a CSV file, but APIs are available for most languages. An example in Julia, which imports population density data based the queries below is given in the `examples` folder - more to come in other languages.
### Sample queries
These queries return population density by HA/gender and HA/age respectively:
```
-- Male / Female by health authority (I think!)
SELECT m.hlthau
, SUM(g.Male) as male
, SUM(g.Female) as female
FROM lad_population_gender g
INNER JOIN (SELECT DISTINCT laua, hlthau FROM spatial_map_sm) m ON(g.lad19cd = m.laua)
GROUP BY m.hlthau
-- age by the same
SELECT hlthau, age, SUM(val) as val
FROM lad_population_age a
INNER JOIN (SELECT DISTINCT laua, hlthau FROM spatial_map_sm) m ON(a.lad19cd = m.laua)
GROUP BY hlthau, age
```
This query returns weekly COVID-related deaths by HA:
```
-- weekly COVID deaths by the same / week
SELECT hlthau, week, SUM(v4_0) as val
FROM weekly_deaths w
INNER JOIN (SELECT DISTINCT laua, hlthau FROM spatial_map_sm) m ON(w.admin_geography = m.laua)
WHERE cause_of_death = 'covid-19'
GROUP BY hlthau, week
```
[sqlite_docs]: https://www.sqlite.org/docs.html