Data Visualization in Data Science

Data Visualization in Data Science

How to use graphs effectively while working on Analytical problems. Data visualization is the process of creating interactive visuals to understand trends, variations, and derive meaningful insights from the data. Data visualization is used mainly for data checking and cleaning, exploration and discovery, and communicating results to business stakeholders.

Introduction to Data Visualization

Data visualization is the process of creating interactive visuals to understand trends, variations, and derive meaningful insights from the data. Data visualization is used mainly for data checking and cleaning, exploration and discovery, and communicating results to business stakeholders. Most of the data scientists pay little attention to graphs and focuses only on the numerical calculations which at times can be misleading. To understand the importance of visualization let’s take a look at Anscombe’s Data Quartet in Figures 1 and 2 below.

Image for post

Figure 1. Anscombe’s Data Quartet showing how a pair of X and Y can have different values yet have different central tendency and correlation values. Data Credits — Anscombe, Francis J. (1973)

The same data points, when represented using visualization in Figure 2 below, depicts a different trend altogether.

Image for post

Figure 2. Illustrates how four identical datasets when examined using simple summary statistics look similar but vary considerably when graphed. Image Credits — Anscombe, Francis J. (1973)

It is important to visualize the data before any calculations are carried out. The visual representation can convey much more information when compared to descriptive statistics.

analytics visualization data-science data-visualization python

Bootstrap 5 Complete Course with Examples

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Building a simple Applications with Vue 3

Deno Crash Course: Explore Deno and Create a full REST API with Deno

How to Build a Real-time Chat App with Deno and WebSockets

Convert HTML to Markdown Online

HTML entity encoder decoder Online

Data Visualization With Python | Data Visualization | Python For Data Science

🔥To access the slide deck used in this session for Free, click here: https://bit.ly/GetPDF_DataV_P 🔥 Great Learning brings you this live session on 'Data Vis...

Applied Data Science with Python Certification Training Course -IgmGuru

Master Applied Data Science with Python and get noticed by the top Hiring Companies with IgmGuru's Data Science with Python Certification Program. Enroll Now

Visual Analytics and Advanced Data Visualization

Visual Analytics and Advanced Data Visualization - How CanvasJS help enterprises in creating custom Interactive and Analytical Dashboards for advanced visual analytics for data visualization

50 Data Science Jobs That Opened Just Last Week

Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments. Our latest survey report suggests that as the overall Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments, data scientists and AI practitioners should be aware of the skills and tools that the broader community is working on. A good grip in these skills will further help data science enthusiasts to get the best jobs that various industries in their data science functions are offering.

2020 Best Online Masters in Analytics, Business Analytics, Data Science – Updated

We provide an updated list of best online Masters in AI, Analytics, and Data Science, including rankings, tuition, and duration of the education program.