Mark DiMarco markmarkoh

Every file and query on data.world is an API endpoint to be consumed via any language or application. Here are a few common examples:

Using a query URL

Python

import pandas as pd
df = pd.read_csv('https://query.data.world/s/zgl3zbtcq5rutbq63ttfo3lhoq4saj')

Force layout test/experiment with images

Sources:

Example 'draw this chart' workflow

This is a d3.js visualization of US zip codes.

Original zip code dataset from Geocommons.

5MB shapefile with properties such as zipcode, state, name, population, area, more.

http://geocommons.com/overlays/54893 (Thank you Bill Greer)

This converts it nicely:

This example illustrates how to use the findPeaks API. You can download the library from https://github.com/efekarakus/d3-peaks.

The algorithm is based on "Improved peak detection in mass spectrum by incorporating continuous wavelet transform-based pattern matching" by Pan Du, Warren A. Kibbe and Simon M. Lin. The paper can be found here.

Graticule && Orthographic Projections

In the latest datamaps (v0.3.4), you can specify orthographic as your projection to show a map in a more 'globe' like fashion.

Additionally you can specify the rotation through projectionConfiguration, which is a new configuration block that I'll be building out for more control over projections.

	// load the h3 json
	fetch('hexed.json')
	.then(r => r.json())
	.then(data => {
	// create a hex layer
	const hexLayer = new deck.H3HexagonLayer({
	id: 'h3-hex',
	data: data,
	pickable: false,
	coverage: 0.9,

	import h3
	import csv
	import json

	with open('./thor_filtered.csv', newline='') as csvfile:
	line = csv.reader(csvfile, delimiter=',')
	lines = 0
	results = {}
	for row in line:
	lines += 1