Tag - Exploratory

Exploratory Data Analysis in Python

We view EDA very much like a tree: there is a basic series of steps you perform every time you perform EDA (the main trunk of the tree) but at each step, observations will lead you down other avenues (branches) of exploration by raising questions you...

Four Ways Big Data Is Still Changing the Way We Do Business

Marketing research took a major turn in the 1970’s, when the practice turned its attention towards the influence that social behavior has on the consumer marketplace. Having continually developed ever since, integrating new technologies to strengthen...

GoodReads: Webscraping and Text Analysis with R (Part 1)

(This article was first published on DataScience+, and kindly contributed to R-bloggers) Inspired by this article about sentiment analysis and this guide to webscraping, I have decided to get my hands dirty by scraping and analyzing a sample of revie...

Problem Definition

A Complete Machine Learning Project Walk-Through in Python: Part One Putting the machine learning pieces together Reading through a data science book or taking a course, it can feel like you have the individual pieces, but don’t quite know how to put...

The Value of Exploratory Data Analysis

In this post, we will give a high level overview of what exploratory __data Science. From the outside, data science is often thought to consist wholly of advanced statistical and machine learning techniques. However, there is another key component to...

Using Excel with Pandas

In this tutorial, we are going to show you how to work with Excel files in pandas, covering computer setup, reading in __data exploration in pandas, and more. comments By Harish Garg, Dataquest Excel is one of the most popular and widely-used data to...