UW iSchool Course INFO 474: focused on designing and building visualizations to better understand and communicate about pressing issues.
Observable BasicsFoundations PracticeData Basics: Loading + ManipulatingD3 Activity 1D3 Activity 1 (complete)D3 Activity IIGraphical Encodings Design ExerciseVisual CognitionVisual Cognition CompleteTreemap ActivityTreemap Activity (complete)D3 Chart ReviewD3 Chart Review (complete)Election Map (complete)Election MapD3 Small MultiplesD3 Small Multiples (complete)Interaction TechniquesInteraction Techniques (complete)Scroll StarterScrolling (complete)
D3 Activity II (complete)
data = await FileAttachment("courses.csv").csv()
// Detect the minmum course number for a slider
minCourseNum = d3.min(data, d => +d.number.substring(5))
// Detect the maximum course number for a slider
maxCourseNum = d3.max(data, d => +d.number.substring(5))
chart_data = data.filter(d => {
const num = +d.number.substring(5);
return num >= minValue && d.description.includes(search);
})
chart = {
let course_list;
// If this is the first time rendering the cell, create and position the svg, axes, and title
if (!this) {
course_list = d3.create('ul');
} else {
course_list = d3.select(this);
}
// Performa a data join
const courses = course_list
.selectAll('li')
.data(chart_data, d => d.number) // identify each observation by course number
.join(
enter => enter.append('li').style('color', 'steelblue'), // append, set starting color
update =>
update
.transition() // transition to black for updated elements
.duration(1500)
.style("color", "black"),
exit =>
exit
.style("color", "red")
.transition()
.duration(500)
.style('opacity', 0)
.remove()
)
.text(d => d.number + ": " + d.description);
return course_list.node();
}
d3 = require('d3@5')
import { slider, text } from "@jashkenas/inputs"
import { displayCaution } from "@info474/utilities"
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.
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