D3.js is a library built with javascript and particularly used for data visualization. But this is not only, we can also fetch files of different formats such as xml, csv, pdf etc. using d3-Fetch API.
Importing the d3-Fetch API:
<script src = "https://d3js.org/d3.v4.min.js"></script> <script src="https://d3js.org/d3-fetch.v1.min.js"></script>
Syntax:
d3.csv(filelocation).then(function);
Types of file it can fetch:
- Blob
- Buffer
- CSV
- DSV
- Text
- HTML
- XML
NOTE: It is essential to create the file before fetching the file. Otherwise it throw error.
Example 1:
HTML
<!DOCTYPE html> < html lang = "en" > < head > < meta charset = "UTF-8" > < meta name = "viewport" path1tent = "width=device-width, initial-scale=1.0" > < script src = </ script > < script src = </ script > </ head > < body > < script > d3.text("./fileName.txt").then(function (text) { // Output: This is from the FileName console.log(text); }); </ script > </ body > </ html > |
Output:
Example 2:
HTML
<!DOCTYPE html> < html lang = "en" > < head > < meta charset = "UTF-8" > < meta name = "viewport" path1tent = "width=device-width, initial-scale=1.0" > < script src = </ script > < script src = </ script > < script src = </ script > </ head > < body > < script > d3.json("jsonFile.json").then(function (data) { console.log(data); // Extracting values from the data object const val = Object.values(data); // Extracting keys from the data object const key = Object.keys(data); for (let i = 0; i < val.length ; i++) { console.log(key[i] + ": " + val[i]); } }); </script> </ body > </ html > |
Output: