Seven Different Visualizations of Immunization Data

Seven Different Visualizations of Immunization Data

In this article, I will talk about Seven Different Visualizations of Immunization Data

When using data, analytics show answers and insight into facts collected in a spreadsheet, document, or database. Being able to understand data in a visual context makes a story pop from numbers and is easily understood by a wide range of readers or viewers. Visualizations are a quick and easy way to tell a data story making numbers pop and information easy to understand. There are many types of visualizations. Using data, let’s show seven ways to see the same information.

How is Immunization and Exemption of Immunization Displayed?

Immunization Records of school age children in Washington State 2014–2015 to show the seven visualizations that make analysis of data easy to understand and showcase for an audience using Power BI.

Area Plot

Area plots show a count by placing shading under the line from data points on the x axis and y axis. Shown are three lines with shading for comparing data graphically.

Bar Chart

Bar Charts show a count by shading to show a value for a specific label. Shown are three values with shading for each Educational Service District in the dataset horizontally.

Key Influencers

Key Influencers is a newer visualization that answers a binary style question. Based on an algorithm, the display shows top correlation of variables for proving a influence on data from a key variable.

Line Plot

Line plots show a count by connecting data points with a line. Shown are three lines of different colors for comparing data graphically.

Pie Chart

Pie Charts show a count by shading and size of wedge to show percentage of a whole in as wedges of a circle. Shown are “slices” of pie that show total immunization and exemption per Educational Service District adding to total state enrollment.

Scatter Plot

Scatter Plots show a count by size of dot and placement on a plane to show data. Shown are points with size to represent intensity and placement of enrollment by immunization count.

Word Cloud

Word Cloud shows most used words in a sample of text or an input file by displaying most used words larger and less used words smaller to evaluate written content. In graphic, website for the dataset is used in an online app for generating Word Cloud.

ai big-data data-visualization analytics data-science

What is Geek Coin

What is GeekCash, Geek Token

Best Visual Studio Code Themes of 2021

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

Data Science vs Big Data: Difference Between Data Science & Big Data

In the digital era that we live in, data has become the biggest and most valuable asset for most organisations. Data is rapidly transforming the way we live and communicate, and it is by collecting, sorting and studying this data, that organisations across the world are looking for ways to impact their bottom lines. In this post, we'll learn Data Science vs Big Data: Difference Between Data Science & Big Data.

Silly mistakes that can cost ‘Big’ in Big Data Analytics

‘Data is the new science. Big Data holds the key answers’ - Pat Gelsinger The biggest advantage that the enhancement of modern technology has brought

Big Data Analytics: Unrefined Data to Smarter Business Insights - TopDevelopers.co

For Big Data Analytics, the challenges faced by businesses are unique and so will be the solution required to help access the full potential of Big Data.

Get Started With Big Data Analytics For Your Business

Everything we do generates Data, therefore we are Data Agents. The question is: how we can benefit from this huge amount of data generated every day?. This post Get Started With Big Data Analytics For Your Business

What Is Big Data? Understanding The Business Use of Big Data Analytics

Big data analytics can be applied for all and any business to boost their revenue and conversions and identify their common mistakes.