An curious maker & coder from Malaysia, doing fun projects related to Arduino RPi, IoT, PCB, LED, linux, javascript (p5, phaser, Vue), dataviz & art installation
Published
Edited
Dec 11, 2020
md`# Protenga BME680 vs SCD30 Sensors`
url = "https://mqtt.boomgrowfarms.com/protenga/esp32-sensor/_design/sensor/_view/all-sensor?skip=5000"
md `Disable CORS in nginx with
add_header 'Access-Control-Allow-Origin' '*';
add_header 'Access-Control-Allow-Methods' 'GET, POST, OPTIONS';
`
d3 = require("d3@5")
md `### Load all the json
- key : sensor name
- value: { timestamp, timestamp2, sensor data }
### co2Format is key value pairs for charts
- name : timestamp
- value : sensor data
`
sensor = await d3.json(url)
//bme2 = bme.splice(0,500)
bme_rh = sensor.rows
.map(d => (
{
name: d.value.ts,
value: d.value.rh_bme
})
)
bme_te = sensor.rows
.map(d => (
{
name: d.value.ts,
value: d.value.te_bme
})
)
bme_co2 = sensor.rows
.map(d => (
{
name: d.value.ts,
value: d.value.co2_bme
})
)
scd_rh = sensor.rows
.map(d => (
{
name: d.value.ts,
value: d.value.rh_scd
})
)
scd_te = sensor.rows
.map(d => (
{
name: d.value.ts,
value: d.value.te_scd
})
)
scd_co2 = sensor.rows
.map(d => (
{
name: d.value.ts,
value: d.value.co2_scd
})
)
md ` ## RH Charts`
import {chart as rh_chart} with { rh as data } from '@d3/bar-chart'
md ` ## Temp Charts`
import {chart as te_chart} with { te as data } from '@d3/bar-chart'
md `## Format for multiple series
- series is data points in multiple arrays
- dates is timestamps in an array
`
co2_data = ({series : [
{name : "BME680", values:bme_co2.map(item => item.value)},
{name : "SCD30", values:scd_co2.map(item => item.value)},
],
dates: bme_co2.map(item => item.name*1000 )})
combo_data = ({series : [
{name : "BME680 TE", values:bme_te.map(item => item.value)},
{name : "SCD30 TE", values:scd_te.map(item => item.value)},
{name : "BME680 RH", values:bme_rh.map(item => item.value)},
{name : "SCD30 RH", values:scd_rh.map(item => item.value)},
],
dates: bme_te.map(item => item.name*1000 )})
md `### %Q in d3.timeParse() is epoch data`
parser = d3.timeParse("%Q")
start = bme_te.map(d => parser(d.name*1000) );
//allTS = teFormat.map(d => parser(d.name*1000) );
import {chart as co2_charts} with { co2_data as data } from '@stanleyseow/multi-line-chart'
import {chart as te_charts} with { combo_data as data } from '@stanleyseow/multi-line-chart'
co2chart = co2_charts
te_charts
md`---
## Appendix
`
md `## Requires D3`
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.