Day 40, 2020-10-03Day 35 & Day 36, 2020-09-28 & 2020-09-29Day 34, 2020-09-27Day 33, 2020-09-26Day 32 (Task 10), 2020-09-25Day 31 (9-2-10), 2020-09-24Day Thirty (A puzzle to be solved), 2020-09-22Day Twenty Nine, 2020-09-22Day Twenty-Eight (Task 9-2-9), 2020-09-21Day Twenty-Seven, 2020-09-20Day Twenty Six, 2020-09-19Day Twenty Five, 2020-09-18Day Twenty Four, 2020-09-17Day Twenty Three (Task 9-2), 2020-09-16Day Twenty Two (Task 9-1 continued), 2020-09-15Day Twenty-One (Task 9-1 continued), 2020-09-14Day Twenty (Task 8 Continued + Task 9-1), 2020-09-13Day Nineteen (Task 8), Spet. 12, 2020Day Eighteen (Task 7-1-10, 11, Sept. 11, 2020Day Fourteen, Fifteen, Sixteen & Seventeen, Spet. 07 ~ 10, 2020Day Thirteen (Task 7-1), 2020-09-06Day Twelve, Sept. 5, 2020: ScalesDay Eleven, Sept.4th, 2020Day Ten (Task 6-6), Sept. 3rd, 2020Day Nine, 2020-09-02Day Eight, Spet. 1, 2020Day Six, 30 Aug 2020Day Five, 29 Aug 2020Day Four, 28 Aug 2020Day Three, 27 Aug 2020Day 1 & Day 2, 25 Aug. & 26 Aug., 2020, Basic Commands
Day 37&38&39, 2020-09-30 & 2020-10-01 & 2020-10-02
md`# Day 37&38&39, 2020-09-30 & 2020-10-01 & 2020-10-02`
md`## Redoing Prof. YY's Dataviz`
d3 = require("d3@6")
cntry_data_raw = d3.json("https://raw.githubusercontent.com/covid19-data/covid19-data/master/output/cntry_stat_owid.json")
us_stat_data_raw = d3.json("https://raw.githubusercontent.com/covid19-data/covid19-data/master/output/us_state_nyt.json")
us_state_data = us_stat_data_raw.map(function(d) {return {
'country_code': d.code,
'country_name': d.name,
'region': "US States", //Note this line of code. This is to add a variable.
'confirmed': d.confirmed,
'deaths': d.deaths,
}})
function ts_diff(a) {
var new_array = [];
new_array.push(a[0][0], a[0][1]); //This will be the starting point
for (var i = 1; i < a.length; i++) {
new_array.push([a[i][0], a[i][1] - a[i-1][1] ])
}; //[i][0] is the date and [i][1] is the confirmed cases data;
return new_array;
// This new_array will be made up of this dataset: [date, number of newly added cases compared to yesterday].
}
function add_past_week_number(a) {
var new_array = [[a[0][0], a[0][1], a[0][1] ]]; //Initiating new_array which is composed of three numbers: date, total confirmed, new confirmed (past week);
var new_confirmed = 0;
//var min_id = 0;
for (var i = 1; i < a.length; i++){
if (i > 7) {
new_confirmed = a[i][1] - a[i-7][1];
} else {
new_confirmed = a[i][1];
};
new_array.push([a[i][0], a[i][1], new_confirmed ]);
}
return new_array;
}
md`
## Selected regions using checkbox
`
import {checkbox} from "@jashkenas/inputs"
import {Scrubber} from "@mbostock/scrubber"
viewof selected_regions = checkbox({
title: "Regions",
options: ["Europe & Central Asia", "North America", "US States", "East Asia & Pacific", "South Asia", "Sub-Saharan Africa", "America & Caribbean", "Middle East & North Africa", "Latin America & Caribbean", "East & North Africa"],
value: ["Europe & Central Asia", "East Asia & Pacific", "North America"],
})
viewof curr_date = Scrubber(d3.timeDays(new Date(2020, 0, 22), new Date()), {
autoplay: true,
loop: false,
alternate: false,
initial: 0,
format: date => date.toLocaleString("ko-KO", {year: "numeric", month:"numeric", day:"numeric"}),
delay: 100
})
//d3.timeDays(start, end). The end here is the current day.
// Check https://stackoverflow.com/a/47785689/13716814 to understand filter
// Check https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array/includes to understand includes
// If d.region is part of the values of selected_regions ["Europe & Central Asia", "East Asia & Pacific", "North America"], the filter function will return "true". Only data returning "true" will be passed off to the next step.
data = cntry_data_raw.concat(us_state_data).filter(function(d) { return selected_regions.includes(d.region);}).map(function(d) {
d.confirmed = add_past_week_number(d.confirmed);
d.deaths = add_past_week_number(d.deaths);
return d;
})
last_index = data[0].confirmed.length - 1
// data[0] is all the data for the first country, ALB
function code_to_name(country_code) {
return data.find(d => d.country_code === country_code).country_name;
}
vis_data = data.map(function(d) {
return {
"country_code": d.country_code,
"country_name": d.country_name,
"population": d.population,
"region": d.region,
"confirmed": d.confirmed.filter(d => new Date(d[0]) < curr_date),
"deaths": d.deaths.filter(d => new Date(d[0]) < curr_date),
}
})
// Notice that within d.confirmed.filter(), there is another function(d){}. Within that function, the d is each line of each country's confirmed column.
color = d3.scaleOrdinal(cntry_data_raw.concat(us_state_data).map(d => d.region), d3.schemeCategory10).unknown("black")
// map(d => d.region): what is passed off to the next step will be changed from each country's info to only each country's region info.
// I don't understand the unknown() function.
params = ({
width: 800,
height: 500,
opac_week: 0.5,
margin: ({top: 25, right: 35, bottom: 35, left: 65}),
xmin: 10,
xmax: 1e6,
ymin: 10,
ymax: 1e6,
});
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