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<html lang="en">
<head>
<meta charset="UTF-8" />
<script src="https://d3js.org/d3.v6.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/vega@5"></script>
<script src="https://cdn.jsdelivr.net/npm/vega-lite@5"></script>
<script src="https://cdn.jsdelivr.net/npm/vega-embed@6"></script>
<style>
table {
font-family: Arial, Helvetica, sans-serif;
border-collapse: collapse;
width: 400px;
}
table td,
#customers th {
border: 1px solid #ddd;
padding: 8px;
}
table tr:nth-child(even) {
background-color: #f2f2f2;
}
table tr:hover {
background-color: #ddd;
}
table th {
padding-top: 12px;
padding-bottom: 12px;
text-align: left;
background-color: #04AA6D;
color: white;
}
code {
width: 50%;
float: left;
}
</style>
</head>
<body>
<script>
var tabulate = function (data, columns) {
var table = d3.select('body').append('table')
var thead = table.append('thead')
var tbody = table.append('tbody')
thead.append('tr')
.selectAll('th')
.data(columns)
.enter()
.append('th')
.text(function (d) { return d })
var rows = tbody.selectAll('tr')
.data(data)
.enter()
.append('tr')
var cells = rows.selectAll('td')
.data(function (row) {
return columns.map(function (column) {
return { column: column, value: row[column] }
})
})
.enter()
.append('td')
.text(function (d) { return d.value })
return table;
}
</script>
<script>
//load api compoenents. using # instead of / to avoid github pages 404
var url = window.location.href;
var urlComponents = url.split("#");
country = urlComponents[1];
indicator = urlComponents[2];
var D = {};
var timeSeries = {};
var M = [];
//ths is the main function that loads the metadata directly from github
d3.csv("./metadata-staging.csv").then(function (data) {
data = data.filter(function (d) {
if (Object.keys(d).indexOf("") > -1) {
delete d[""];
}
return d.country != "";
});
console.log(data);
return data
//we select the country and indicator from the url and construct the dictionary D
}).then(function (data) {
data.forEach(function (d) {
if (Object.keys(D).indexOf(d.country) < 0) {
D[d.country] = {};
};
D[d.country][d.ecoSeries] = d
})
// console.log(D);
})
raw_data = null;
//this function create the api call using the csv metafile
function load(country, indicator) {
if (Object.keys(D).indexOf(country) < 0) {
document.body.innerHTML = "Country not found";
} else if (Object.keys(D[country]).indexOf(indicator) < 0) {
document.body.innerHTML = "Indicator not found";
} else {
timeSeries = D[country][indicator];
}
//country-specific api calls
d3.json(timeSeries.API_full)
.then(function (data) {
// console.log(data, timeSeries.date, country)
raw_data = data;
if (country == 'gbr') {
const keysToKeep = ['date', 'value'];
const cull = list => list.map(o => Object.fromEntries(
keysToKeep.map(k => [k, o[k]])
));
if (timeSeries.date == 'months.date') {
M = cull(data['months']);
} else if (timeSeries.date == 'quarters.date') {
M = cull(data['quarters']);
}
} else if (country == 'usa') {
const keysToKeep = ['date', 'value'];
const cull = list => list.map(o => Object.fromEntries(
keysToKeep.map(k => [k, o[k]])
));
M = cull(data['observations'])
} else if (country == 'can') {
const keysToKeep = ['refPer', 'value'];
const cull = list => list.map(o => Object.fromEntries(
keysToKeep.map(k => [k, o[k]])
));
M = cull(data[0]['object']['vectorDataPoint']);
} else if (country == 'aus') {
var Mdates = data.data.structure.dimensions.observation[0].values;
var Mvalues = Object.values(data.data.dataSets[0].series[Object.keys(data.data.dataSets[0].series)[0]].observations).flat();
M = []
for (var i = 0; i < Mdates.length; i++) {
M.push({ date: Mdates[i].end, value: Mvalues[i] })
}
}
else if (country == 'nga') {
if (timeSeries.source == 'CBN') {
var Mdates = ['2013-10-01', '2014-01-01', '2014-04-01', '2014-07-01', '2014-10-01', '2015-01-01', '2015-04-01', '2015-07-01', '2015-10-01']
var Mvalues = data.data[0].values;
M = []
for (var i = 0; i < Mdates.length; i++) {
M.push({ date: Mdates[i], value: Mvalues[i] })
}
} else {
const keysToKeep = ['Time', 'Value'];
const cull = list => list.map(o => Object.fromEntries(
keysToKeep.map(k => [k, o[k]])
));
M = cull(data.data);
}
}
else if (country == 'ken') {
var start = new Date(data.data[0].startDate.slice(0, 10));
var end = new Date(data.data[0].endDate.slice(0, 10));
var Mdates = d3.timeMonth.range(start, end, (timeSeries.frequency == "Q" ? 3 : 1)).map(d3.timeFormat("%Y-%m-%d"));
var Mvalues = data.data[0].values;
M = []
for (var i = 0; i < Mdates.length; i++) {
M.push({ date: Mdates[i], value: Mvalues[i] })
}
} else if (country == 'jpn') {
M = []
var d = data.GET_STATS.STATISTICAL_DATA.DATA_INF.DATA_OBJ.filter(function (d) {
return d.VALUE['@cycle'] == '1'
})
for (var i = 0; i < d.length; i++) {
var e = d[i].VALUE['@time']
M.push({ date: e.slice(0, 4) + '-' + e.slice(4, 6) + '-' + '01', value: d[i].VALUE['$'] })
}
}
else if (country == 'idn') {
//1. Readable labels for vervar, var, turvar, tahun, turtahun are returned in bps_data response
label_keys = ['vervar', 'var', 'turvar', 'tahun', 'turtahun']
labels = {}
for (key of label_keys) {
labels[key] = {}
for (item of data[key]) {
labels[key][item.val] = item.label
}
// 2. get all posible keys - there may be a more elegant way of doing this but parsing keys rather than matching is difficult because of ambiguity due to non zero filled values
// Is there a better way to do this? e.g. a ES6 ittertools alternative?
let possibleKeys = {};
for (let vervar in labels['vervar']) { // this isn't quite as inneficient as it looks because only 2 or 3 values for most of these
for (let variable in labels['var']) {
for (let turvar in labels['turvar']) {
for (let tahun in labels['tahun']) {
for (let turtahun in labels['turtahun']) {
let key = "" + vervar + variable + turvar + tahun + turtahun;
possibleKeys[key] = {
"year": labels['tahun'][tahun],
"subyear": labels['turtahun'][turtahun],
"subvariable": labels['turvar'][turvar],
"variable": labels['var'][variable],
"vertical_variable": labels['vervar'][vervar]
};
}
}
}
}
}
// 3. Parse the data by matching the keys to the possible keys
M = []
for (let key in data.datacontent) {
if (key in possibleKeys) {
let datum_labels = possibleKeys[key];
parsed_datum = {}
parsed_datum['value'] = data.datacontent[key];
// parse the date using the year and subyear
subyear_lookups = { "January": "01-01", "February": "02-01", "March": "03-01", "April": "04-01", "May": "05-01", "June": "06-01", "July": "07-01", "August": "08-01", "September": "09-01", "October": "10-01", "November": "11-01", "December": "12-01", "Quarter I": "01-01", "Quarter 1": "01-01", "Quarter 2": "04-01", "Quarter II": "04-01", "Quarter III": "07-01", "Quarter 3": "07-01", "Quarter IV": "10-01", "Quarter 4": "10-01", "Semester 1 (March)": "03-01", "Semester 2 (September)": "09-01", "Annual": "01-01", "Annually": "01-01", "Yearly": "01-01" } // TODO: lazy
parsed_datum['date'] = datum_labels.year + "-" + subyear_lookups[datum_labels.subyear]
//parsed_datum['series'] = datum_labels.subvariable
//parsed_datum['variable'] = datum_labels.variable
parsed_datum['year'] = datum_labels.year
parsed_datum['subyear'] = datum_labels.subyear
//parsed_datum['vertical_variable'] = datum_labels.vertical_variable
M.push(parsed_datum)
}
}
// 4. Fixing Issues with Annual/Sub-Annual Data by dropping Annual data when a year has sub-annual data
const uniqueYears = [...new Set(M.map(item => item.year))];
for (let year of uniqueYears) {
let subAnnualData = M.filter(item => item.year == year && item.subyear != "Annual")
if (subAnnualData.length > 0) {
annual_keys = ['Annually', 'Annual', 'Yearly']
// if there is sub-annual data, remove the annual data
M = M.filter(item => item.year != year || !annual_keys.includes(item.subyear))
}
}
}
} else if (country == "ind"){
console.log(`timeSeries.date_keys: ${timeSeries.date_keys}, timeSeries.value_keys: ${timeSeries.value_keys}, timeSeries.filters: ${timeSeries.filter}, timeSeries.orient: ${timeSeries.orient}`)
const date_keys = JSON.parse(timeSeries.date_keys)
const value_keys = JSON.parse(timeSeries.value_keys)
const filter = JSON.parse(timeSeries.filter)
M = parse_india(data, date_keys, value_keys, filter, timeSeries.orient);
}
else if (country =="mex") {
M = data.Series[0]["OBSERVATIONS"].map( d => {
let year = d.TIME_PERIOD.slice(0, 4);
let month = (d.TIME_PERIOD.length > 4) ? d.TIME_PERIOD.slice(5, 7): "01";
//Adding in a year month variable that vegalite can read
const year_month = `${year}-${month}-01`;
//Creating the dict that can be passed by vegalite
return {
date: year_month,
value: d.OBS_VALUE,
year,
subyear: month
}
}
)
}
else if (country == "bra") {M = data.map( d=>
{
let year = d.data.slice(6, 10);
let month = d.data.slice(3, 5);
const year_month = `${year}-${month}-01`;
return {
date: year_month,
value: d.valor,
year,
subyear: month
}
}
)
}
})
//load a master vegalite spec and modify it to the country and indicator
setTimeout(function () {
d3.selectAll("table").remove();
document.querySelector('#code').innerHTML = "";
d3.json("./default_vega_lite_spec.json")
.then(function (vlSpec) {
vlSpec.data.values = M;
if (timeSeries.date == "quarters.date")
vlSpec.transform.push({
"as": "date",
"calculate": "timeParse(replace(replace(replace(replace(datum.date, 'Q1', '02'), 'Q2', '05'), 'Q3', '08'), 'Q4', '11'), '%Y %m')"
});
if (timeSeries.country == "can")
vlSpec.transform.push({
"as": "date",
"calculate": "toDate(datum.refPer)"
});
if ((timeSeries.country == "nga") && (timeSeries.source == "CBN")) {
vlSpec.transform.push({
"as": "date",
"calculate": "toDate(datum.Time)"
});
vlSpec.transform.push({
"as": "value",
"calculate": "datum.Value"
});
}
vlSpec.title.text = timeSeries.Title;
vlSpec.title.subtitle = timeSeries.SubTitle;
vlSpec.encoding.y.axis.title = timeSeries.units;
// console.log(vlSpec)
vegaEmbed(
'#view',
vlSpec
);
tabulate(M, ["date", "value", "year", "subyear"], "#table");
document.querySelector('#code').innerHTML = '<code><b>ECO API</b>: <a href="' + window.location + '">' + window.location + '</a><br><br><b>Original API</b>: <a href="' + timeSeries.API_full + '">' + timeSeries.API_full + '"</a><br><br>' + JSON.stringify(M) + '</code>'
});
}, 500)
}
function parse_india(data, dateForms = [], valueForms = [], filters = [], orient = 'wide') {
const records = data.records;
let parsedRows = [];
let temp_rows = [];
console.log(dateForms);
for (const record of records) {
// first iterate over the filters, if any don't match, skip this record
let skip = false;
for (const filter of filters) {
if (!(filter[0] in record) || record[filter[0]] !== filter[1]) {
skip = true;
console.log(`skipping record because ${filter[0]} is not ${filter[1]}`)
break;
}
}
if (skip) { continue }
// find the date fields
const date_fields = find_matching_fields(record, dateForms);
// find the value fields
const value_fields = find_matching_fields(record, valueForms);
if (orient === 'wide') {
// if wide, we're constructing lots of dates from the date fields where each item fully describes a date
for (const dateField of date_fields) {
let year, date, quarter, valueField;
// parse according to its format
if (/^\d{4}_\d{2}___q[1-4]$/.test(dateField.value)) {
year = dateField.value.split('_')[0];
date = new Date(year, 3, 1); // Financial year starts on 1st April
quarter = dateField.value.substring(dateField.value.length - 1);
date.setMonth(date.getMonth() + (quarter - 1) * 3);
} else {
throw `Unrecognised date format: ${dateField.value}`;
}
valueField = value_fields.find(field => field.key === dateField.key);
parsedRows.push({
'date': date,
'value': valueField.value
});
}
} else if (orient === 'long') {
// if long, we're constructing a single date from the date fields where each item partially describes a date
let dateAttributes = {}; // accumulate the different bits of the date
for (const dateField of date_fields) {
let dateSubs;
// parse according to format
if (dateField.key === "year") {
dateAttributes['year'] = dateField.value;
} else if (dateField.key === "month") {
dateSubs = {
'January': 1, 'February': 2, 'March': 3, 'April': 4, 'May': 5, 'June': 6,
'July': 7, 'August': 8, 'September': 9, 'October': 10, 'November': 11,
'December': 12, 'Jan': 1, 'Feb': 2, 'Mar': 3, 'Apr': 4, 'Jun': 6,
'Jul': 7, 'Aug': 8, 'Sep': 9, 'Oct': 10, 'Nov': 11, 'Dec': 12
};
if (dateField.value in dateSubs) {
dateAttributes['month'] = dateSubs[dateField.value];
} else if (!isNaN(dateField.value)) {
dateAttributes['month'] = parseInt(dateField.value);
}
}
dateAttributes = { ...{ 'month': 1, 'day': 1 }, ...dateAttributes };
const date = new Date(dateAttributes['year'], dateAttributes['month'] - 1, dateAttributes['day']);
parsedRows.push({
'date': date,
'value': value_fields[0].value
});
}
} else {
throw `Unrecognised orient: ${orient}`;
}
}
// remove duplicate dates
parsedRows = parsedRows.filter((row, index, self) =>
index === self.findIndex((r) => (
r.date.getTime() === row.date.getTime()
))
)
console.log(`parsed rows: ${parsedRows.length}`);
return parsedRows;
}
function find_matching_fields(record, validForms) {
// For India
// returns {key : value} pairs for each field in record that matches a form (either regex or field name) from validForms
// these forms are either regex or field names
matching_fields = []
// loop over the fields of the row
for (key in record) {
for (form of validForms) {
//console.log(`dateForm: ${dateForm}, key: ${key} `)
// if the dateForm is wrapped in slashes, it's a regex
if (form[0] == '/' && form[form.length - 1] == '/') {
// regex - get value from record using regex
const regex = new RegExp(form.slice(1, form.length - 1))
const match = regex.exec(key)
if (match) {
// if the regex is non-caputuring, we want to return the value - match will be length 1
if (match.length == 1) { // a more robust way of checking here would be to use a new regex to check for capturing groups
matching_fields.push({
'key': key,
'value': record[key],
'form': form
})
} else {
// otherwise, we want to return the first capture group
matching_fields.push(
{
'key': key,
'value': match[1],
'form': form
}
)
}
}
} else {
if (key == form) {
// not regex - get value from record using key
// otherwise, we want to return the first capture group
matching_fields.push(
{
'key': key,
'value': record[key],
'form': form
}
)
}
}
}
}
return matching_fields
}
//add the dropdowns
// first, the country
function updateIndicatorSelector() {
var country = document.getElementById("countrySelector").value;
var indicatorSelector = document.getElementById("indicatorSelector");
indicatorSelector.innerHTML = "";
for (var indicator in D[country]) {
var option = document.createElement("option");
option.setAttribute("value", D[country][indicator].ecoSeries);
option.innerHTML = D[country][indicator].Title;
indicatorSelector.appendChild(option);
}
setTimeout(() => {
updateData()
}, 200);
}
function updateData() {
country = document.getElementById("countrySelector").value
indicator = document.getElementById("indicatorSelector").value
console.log(country, indicator)
load(country, indicator)
window.location.href = "#" + country + "#" + indicator;
setTimeout(() => {
load(country, indicator)
}, 400); //we need to wait for the page to load before we can update the dropdowns
}
setTimeout(function () {
console.log(D)
var countrySelector = document.createElement("select");
countrySelector.setAttribute("id", "countrySelector");
countrySelector.setAttribute("onchange", "updateIndicatorSelector();");
var countrySelectorLabel = document.createElement("label");
countrySelectorLabel.setAttribute("for", "countrySelector");
countrySelectorLabel.innerHTML = "Select a country: ";
document.querySelector('#menu').appendChild(countrySelectorLabel);
document.querySelector('#menu').appendChild(countrySelector);
for (var country in D) {
var option = document.createElement("option");
option.setAttribute("value", country);
option.innerHTML = country;
countrySelector.appendChild(option);
}
var indicatorSelector = document.createElement("select");
indicatorSelector.setAttribute("id", "indicatorSelector");
indicatorSelector.setAttribute("onchange", "updateData()");
var indicatorSelectorLabel = document.createElement("label");
indicatorSelectorLabel.setAttribute("for", "indicatorSelector");
indicatorSelectorLabel.innerHTML = " indicator: ";
document.querySelector('#menu').appendChild(indicatorSelectorLabel);
document.querySelector('#menu').appendChild(indicatorSelector);
// set selected value in dropdown
}, 100) //we need to wait for the page to load before we can update the dropdowns
setTimeout(() => {
load(country, indicator);
setTimeout(() => {
updateIndicatorSelector()
}, 200);
// setTimeout(() => {
// updateData()
// }, 800);
}, 200); //
setTimeout(() => {
var i;
for (i = 0; i < countrySelector.options.length; i++) {
if (countrySelector.options[i].value == country) {
countrySelector.selectedIndex = i;
break;
}
}
for (i = 0; i < indicatorSelector.options.length; i++) {
if (indicatorSelector.options[i].value == indicator) {
indicatorSelector.selectedIndex = i;
break;
}
}
}, 250);
</script>
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