Older brother. Graphics reporter.
Published
Edited
Mar 14, 2022
2 stars
dms = {
let dimensions = {
width: width,
height: Math.min(width * (16 / 9), 900),
heightSmall: width * (9 / 16),
marginTop: 30
};
dimensions.marginLeft = dimensions.marginTop;
dimensions.marginBottom = dimensions.marginTop;
dimensions.marginRight = dimensions.marginTop;
dimensions.chartWidth =
dimensions.width - dimensions.marginLeft - dimensions.marginRight;
dimensions.chartHeight =
dimensions.height - dimensions.marginTop - dimensions.marginBottom;
dimensions.chartHeightSmall =
dimensions.heightSmall - dimensions.marginTop - dimensions.marginBottom;
return dimensions;
}
colors = {
return {
deaths: '#ff3333',
deathsNone: '#ff9191',
land: '#F7F7F7',
boundary: '#C0C0C0'
};
}
timeParser = function(date) {
if (date.includes('/')) {
return d3.timeParse("%d/%m/%Y")(date);
} else {
return d3.timeParse("%d %b %Y")(date);
}
}
timeFormatter = function(date) {
const months = [
"Jan.",
"Feb.",
"March",
"April",
"May",
"June",
"July",
"Aug.",
"Sept.",
"Oct.",
"Nov.",
"Dec."
];
const monthIndex = +d3.timeFormat('%m')(date) - 1;
const day = +d3.timeFormat('%e')(date);
let remainingDate = "";
if (day < 9) {
remainingDate = d3.timeFormat(`${months[monthIndex]}%e, %Y`)(date);
} else {
remainingDate = d3.timeFormat(`${months[monthIndex]} %e, %Y`)(date);
}
return remainingDate;
}
timeParserInput = d3.timeParse("%Y-%m-%d")
timeFormatterInput = d3.timeFormat("%Y-%m-%d")
townsAAPP = [
...d3
.rollup(
dataDeaths.filter(f => f['Town_eng'].length > 0),
v => {
return {
township: v[0]['Town_eng'],
region: v[0]['State_Region']
};
},
d => d['Town_eng']
)
.values()
].sort((a, b) => d3.ascending(a['township'], b['township']))
townsMIMU = {
const states = geoMyanmarTownships['features'].map(d => {
return {
township: d['properties']['TS'],
district: d['properties']['DT'],
state: d['properties']['ST']
};
});
return states.sort((a, b) => d3.ascending(a['township'], b['township']));
}
crosswalk = {
const attachment = await FileAttachment("crosswalkTownships@1.csv").text();
return d3.csvParse(attachment).map(d => {
const townshipAAPP = [];
for (let i = 1; i <= 6; i++) {
if (d['townshipAAPP-v' + i].length > 0) {
townshipAAPP.push(d['townshipAAPP-v' + i]);
}
}
const e = {
district: d['district'],
state: d['state'],
townshipMIMU: d['townshipMIMU']
};
d['townshipSFM'].length > 0 ? (e['townshipSFM'] = d['townshipSFM']) : null;
townshipAAPP.length > 0 ? (e['townshipAAPP'] = townshipAAPP) : null;
return e;
});
}
crosswalkSFM = {
const attachment = await FileAttachment(
"SecurityForceMonitorLocationsCrosswalk.csv"
).text();
return d3.rollup(
d3.csvParse(attachment),
v => v[0],
d => d['location:humane_id:admin']
);
}
dataLegend = [0, 30, 60, 120]
dataDeaths = {
const attachment = await FileAttachment(
"Myanmar Spring Revolution Data - death_cases.csv"
).text();
return d3
.csvParse(attachment)
.map(d => {
d["DateRaw"] = timeParser(d["Incident Date"]);
d["DateFormatted"] = timeFormatter(d["DateRaw"]);
d['Location'] = {
township: d['Town_eng'] === "Mandalay" ? 'Mahaaungmyay' : d['Town_eng'],
state: d['State_Region']
};
return d;
})
.filter(d => d["DateRaw"] != null);
}
dataDeathsPerDayAndTown = {
const totals = d3.rollups(
dataDeaths
.sort((a, b) => d3.ascending(a['DateRaw'], b['DateRaw']))
.filter(f => f["Location"]["township"]),
v => v.length,
d => d['DateRaw'],
d => d['Location']['township']
);
const totalsProcessed = totals.map(d =>
d[1].map(e => {
return { date: d[0], township: e[0], deaths: e[1] };
})
);
return d3
.merge(totalsProcessed)
.sort((a, b) => d3.descending(a['deaths'], b['deaths']));
}
dataDeathsPerDay = d3.rollup(
dataDeaths.sort((a, b) => d3.ascending(a['DateRaw'], b['DateRaw'])),
v => {
return {
date: v[0]['DateRaw'],
total: v.length,
gunshot: v.filter(f => f['Type'].includes('gunshot')).length,
other: v.filter(
f => f['Type'].includes('gunshot') == false && f['Type'].length > 0
).length,
unknown: v.filter(f => f['Type'].length < 1).length
};
},
d => d["DateRaw"]
)
dataDeathsPerTown = [
...d3
.rollup(
dataDeaths
.filter(f => f["Location"]["township"])
.filter(
f =>
timeParserInput(dateStart) <= f['DateRaw'] &&
f['DateRaw'] <= timeParserInput(dateEnd)
),
v => {
const deaths = v.length;
const deathsGunshot = v.filter(
f => f['Type'].includes('gunshot') && f['Type'].length > 0
).length;
const township = v[0]["Location"]["township"];
const state = v[0]["Location"]["state"];
return { township, state, deaths, deathsGunshot };
},
d => d["Location"]["township"]
)
.values()
]
dataDeathsPerTownTotal = [
...d3
.rollup(
dataDeaths.filter(f => f["Location"]["township"]),
v => {
const deaths = v.length;
const deathsGunshot = v.filter(
f => f['Type'].includes('gunshot') && f['Type'].length > 0
).length;
const township = v[0]["Location"]["township"];
const state = v[0]["Location"]["state"];
const deathsArray = v;
return { township, state, deaths, deathsGunshot, deathsArray };
},
d => d["Location"]["township"]
)
.values()
]
geoMyanmarBorder = {
const attachment = await FileAttachment("ne10.topo.json").json();
// return attachment;
const converted = topojson.feature(
attachment,
attachment['objects']['ne_10m_admin_0_countries']
);
// return converted;
return converted['features'].filter(
f => f['properties']['ISO_A3'] == 'MMR'
)[0];
}
geoMyanmarTownships = {
const attachment = await FileAttachment(
"MyanmarTownships.topo@2.json"
).json();
return topojson.feature(
attachment,
attachment['objects']['MyanmarTownships']
);
}
projection = {
// "+proj=laea +lon_0=96.328125 +lat_0=18.2744487 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs"
// return d3
// .geoMercator()
// .fitExtent(
// [[dms.marginLeft, dms.marginTop], [dms.chartWidth, dms.chartHeight]],
// geoMyanmarBorder
// );
return proj4d3(
`+proj=laea +lon_0=96.328125 +lat_0=18.2744487 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs`
).fitExtent(
[[dms.marginLeft, dms.marginTop], [dms.chartWidth, dms.chartHeight]],
geoMyanmarBorder
);
}
path = d3.geoPath(projection)
// {
// const dates = [...dataDeathsPerDay.keys()];
// // return dates[dates.length - 1];
// return d3.timeDay.offset(dates[dates.length - 1], 1);
// }
scaleTime = {
const dates = [...dataDeathsPerDay.keys()];
return d3
.scaleTime()
.domain([dates[0], d3.timeDay.offset(dates[dates.length - 1], 1)])
.range([0, dms.chartWidth]);
}
rangeDates = {
const range = d3.timeDay.range(
scaleTime.domain()[0],
scaleTime.domain()[1],
1
);
range.push(scaleTime.domain()[1]);
return range;
}
scaleDeaths = {
const deaths = [...dataDeathsPerDay.values()];
return d3
.scaleLinear()
.domain([0, d3.max(deaths, d => d['total'])])
.range([dms.chartHeightSmall, 0])
.nice();
}
scaleDeathsGradient = {
const deaths = dataDeathsPerTown;
// return d3.max(deaths, d => +d['deaths']);
return d3
.scaleLinear()
.domain([0, d3.max(deaths, d => +d['deaths'])])
.interpolate(d3.interpolateRgb)
.range(['#fff', colors.deaths]);
}
scaleDeathsRadius = {
const deaths = dataDeathsPerTownTotal;
// return d3.max(deaths, d => +d['deaths']);
return d3
.scaleLinear()
.domain([0, d3.max(deaths, d => +d['deaths'])])
.range([0, 300]);
}
scaleDeathsSpike = {
const deaths = dataDeathsPerTownTotal;
// return d3.max(deaths, d => +d['deaths']);
return d3
.scaleLinear()
.domain([0, d3.max(deaths, d => +d['deaths'])])
.range([0, 50]);
}
spike = function(heightInput, widthInput) {
return `M ${-widthInput / 2},0 0,${-heightInput} ${widthInput / 2},0`;
}
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