EDA (Exploratory Data Analysis) is one of the first steps performed on a given dataset. It helps us to understand more about our data and gives us an idea of manipulations and cleaning we might have to do. EDA can take anywhere from a few lines to a few hundred lines. In this tutorial, we will look at libraries which help us perform EDA in a few lines

Dataset

We will use the Titanic Dataset provide by Kaggle. Using Panda’s describe() method, we get the below output

If you have worked with APIs before, you have most likely worked with deeply nested objects. Consider the following object:

Let’s try accessing some values:

console.log(
    someObject.data[0].attributes.color
)
// red

This works fine, but what if we try to access the color property of the second element in the data?

console.log(
    someObject.data[1].attributes.color
)
// undefined

It prints undefined because the attributes property is empty. Let’s try to access the second element inside the arr property:

In the first case, 2 is printed in the console. However, in the second case, we get an error.

This is because someObject.data[1].attributes…

Why use lodash

• It reduces the lines of code significantly
• Supports common operations done on Objects and Arrays
• Supports common operations on strings
• Supports generic functions
• Trusted by other developers. It has 50k+ ⭐️ on GitHub
• Well Documented
• You don’t need to learn any new syntax or concepts or anything. It uses plain old JavaScript.

Install lodash

npm install lodash

Accessing values in deeply nested objects

When dealing with API responses, more often than not, the data you’d like to access will be deeply nested.

Consider the following example.

We will ensure the following things:

• The npm package only contains the relevant JavaScript files along with type declarations.
• Our public repo doesn’t need to contain any JavaScript files.

This article by Bret Cameron is a great resource to create a useful and accessible npm package.

My current TypeScript project

My current project has the following file structure.

Function to get Pokemon Data

Originally Posted on realpythonproject.com

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Since quite a few people found my previous article helpful, I decided to make a similar cheatsheet for Axios.

Axios is used to make requests and to consume APIs.

I will be working in a NodeJS environment.

If you need a refresher on the Axios library, check out this article by Sebastian Eschweiler

This article by Jason Arnold compares Fetch and Axios, two of the most popular libraries use to make requests in JavaScript

Installing Axios

npm install axios

Importing Axios

const axios = require('axios')

Making a get request

With Promises (without async/await)

const axios = require("axios");
const url = "https://jsonplaceholder.typicode.com/todos/1";axios.get(url)…

Originally Posted on realpythonproject.com

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The fetch API in JavaScript is used to make requests. It can also be used to consume APIs. Let’s take a look at some of the most common operations using fetch API.

I will be working in a NodeJs environment

If you want to learn more about the fetch API or want to get a deeper understanding, check out this article by Peter Sz

Here is an article by Harsh Patel comparing Axios and Fetch, two of the most popular libraries in JavaScript used to make requests.

Installing node-fetch

npm install node-fetch

Importing node-fetch

…

We will be working with the following APIs:

• Dog Facts
• The Cat API — Cats as a Service
• Twilio API
• GitHub API
• Genius API

If you are interested in a similar guide for Python, check out my previous article.

Some familiarity with promises in JavaScript is expected. Check out this article by Eric Elliott for an introduction to promises in JavaScript.

Some familiarity with the Fetch API is also expected. Here is a great article by Swapnil Bangare.

Table of Contents

Insecure APIs
Reading values from .env files
APIs with keys
APIs with basic auth
API wrappers
APIs secured via OAuth2
Using the GitHub API (OAuth2)
Using the Genius API…