Building and Using Tools to See.
UVA Architecture + Data Science. IT Director. Instructor.
class dvTooltip {
constructor(selection) {
if (!selection || !selection.size()) {
throw "Requires a tooltip div element selection";
}
this._selection = selection;
}
get selection() {
return this._selection;
}
set selection(sel) {
if (sel && sel.size()) {
this._selection = sel;
} else {
throw "selection must be a non-empty selected element";
}
}
show(evt, d, options) {
let thisElem = evt.currentTarget;
//let parentSVG = d3.select(thisElem).select(function() {return this.closest("svg")});
//let topNode = parentSVG.node().parentNode;
let mouseLoc = {x: evt.offsetX+1, y: evt.offsetY+1};
if (typeof(options) === "undefined") {options = {}}
if (typeof(options.fields) === "undefined") {options.fields = ""}
if (typeof(options.title) === "undefined") {options.title = ""}
if (typeof(options.subtitle) === "undefined") {options.subtitle = ""}
let ttContents = "";
if (options.title != "") {
ttContents += "<div class='TTtitle'>";
if (typeof(options.title) === "object") {ttContents += d[options.title.dataName]}
else {ttContents += options.title}
ttContents += "</div>";
}
if (options.subtitle != "") {
ttContents += "<div class='TTsubtitle'>";
if (typeof(options.subtitle) === "object") {ttContents += d[options.subtitle.dataName]}
else {ttContents += options.subtitle}
ttContents += "</div>";
}
if (options.fields != "") {
options.fields.forEach(field => {
if (field.displayName != "") {ttContents += field.displayName + ": "}
if (field.prefix != "") {ttContents += field.prefix}
ttContents += d[field.dataName];
if (field.suffix != "") {ttContents += " " + field.suffix}
ttContents += "<br />";
})
} else {
ttContents = d;
}
this.selection
.style("visibility","visible")
.style("left", mouseLoc.x + "px")
.style("top", mouseLoc.y + "px")
.html(ttContents);
}
hide() {
this.selection.style("visibility","hidden").html("");
}
}
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.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.