I'm trying to create a D3 chart that will utilize both summary statistics (min and max) as well as unsummarized data.
I have a CSV that contains a Job Code (which contains duplicates) and a salaryToMedian which is a decimal. I want to compute the min and max by Job Code.
I'm receiving the error grouped is not a function. I'm trying to console.log the maximum for Job Code 1000.
d3.csv("http://127.0.0.1:8887/myData.csv").then(function(data){
var grouped = d3.nest()
.key(function(d) { return d.jobCode; })
.rollup(function(v) {
return {
jobCodeMax: d3.max(v, function(d) { return d.salaryToMedian; }),
jobCodeMax: d3.min(v, function(d) { return d.salaryToMedian; }),
values: v
};
})
.entries(data)
.map(function(d) {
return {
JobCode: d.key,
jobCodeMax: d.value.jobCodeMax,
jobCodeMin: d.value.jobCodeMin
};
});
console.log(grouped(1000).jobCodeMax);
});
Disclaimer: At the time of writing, the current version of d3 is version 7.6.1.
map returns an array, but you try to access it like a function, i.e., with parentheses.
Also: d3.nest has been deprecated in d3 version 6, which is also stated in the docs:
Deprecation notice: Use JavaScript’s built-in Map, Set and Object classes instead of d3-collection’s corresponding methods. Use d3-array’s group and rollup instead of d3-collection’s nest.
But: No need for all those calls. All you need is d3.rollup.
d3.rollup(iterable, reduce, ...keys)Groups and reduces the specified iterable of values into an InternMap from key to value.
This should do the trick (once you have stored your data in the variable data):
// ... get data into variable data ...
const keyFn = d => d.jobCode
const valueFn = d => d.salaryToMedian
const summaryReducer = function(values) {
return {
key: keyFn(values[0]), // if you want to also store the key in the summary
max: d3.max(values, valueFn),
min: d3.min(values, valueFn),
/* any other summarization you want based on values */
values: values
}
}
const grouped = d3.rollup(data, summaryReducer, keyFn) // all you need is d3.rollup
const job1000 = grouped.get(1000)
I created a playground example here on ObeservableHQ.