tvl-depot/users/wpcarro/ynabsql/dataviz/index.js
William Carroll 899828adeb feat(wpcarro/ynab): Proof-of-concept viz for finances
After experimenting with existing "data engineering solutions" like
datasette, periscope, I think rolling my own dataviz for this project might be
easiest (surprisingly).

**Wish List:**
- Benthos job to dump my financial transactions into a SQL table.
- Scatter plot of expenses (or just transactions generally).
  - Support filtering the data using "Simple Select" query language.
- Stacked histogram of income/expenses with a line overlaying the "idealized"
  savings.

Change-Id: Iec2948641dba8c4c6d5ad19a0e1ea142b81198af
Reviewed-on: https://cl.tvl.fyi/c/depot/+/7784
Tested-by: BuildkiteCI
Reviewed-by: wpcarro <wpcarro@gmail.com>
2023-01-08 22:49:08 +00:00

72 lines
1.7 KiB
JavaScript

const colors = {
red: 'rgb(255, 99, 132)',
orange: 'rgb(255, 159, 64)',
yellow: 'rgb(255, 205, 86)',
green: 'rgb(75, 192, 192)',
blue: 'rgb(54, 162, 235)',
purple: 'rgb(153, 102, 255)',
grey: 'rgb(201, 203, 207)'
};
function randomExpense() {
// 10/1000 expenses are O(1,000)
// 100/2000 expenses are O(100)
// 1,000/2000 expenses are O(10)
// 10,000/2000 expenses are O(1)
const r = Math.random();
if (r <= 0.02) {
return Math.floor(Math.random() * 5000);
} else if (r <= 0.1) {
return Math.floor(Math.random() * 1000);
} else if (r <= 0.5) {
return Math.floor(Math.random() * 100);
} else {
return Math.floor(Math.random() * 10);
}
}
// Browser starts to choke around 10,000 data points.
function generateData() {
return Array(2000).fill(0).map(x => ({
// select a random day [0, 365]
x: Math.floor(Math.random() * 365),
// select a random USD amount in the range [1, 5,000]
y: randomExpense(),
// TODO(wpcarro): Attach transaction to `metadata` key.
metadata: { foo: 'bar' },
}));
}
////////////////////////////////////////////////////////////////////////////////
// Main
////////////////////////////////////////////////////////////////////////////////
const mount = document.getElementById('mount');
new Chart(mount, {
type: 'scatter',
data: {
datasets: [
{
label: 'Expenses',
data: generateData(),
backgroundColor: colors.red,
}
],
},
options: {
plugins: {
tooltip: {
callbacks: {
title: function (x) {
return `$${x[0].raw.y}`;
},
label: function (x) {
return JSON.stringify(x.raw.metadata);
},
},
},
},
},
})