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Data Visualization in R with Project on Covid-19 Analysis

PUBLISHER :- Uplatz Training

LANGUAGE :- English

PRIZE :- 87.28$ 0$

Data Visualization in R with Project on Covid-19 Analysis

WHO CAN ACCESS THIS COURSE :-

  • Information Visualization Analysts and Consultants
  • Information Analytics Specialists
  • Information Visualization Designers
  • Revealing Analysts and Business Intelligence (BI) Analysts
  • Information Analytics and Visualization Managers
  • Novices and amateurs inspired by BI, Analytics, Visualization
  • Information Scientists, Data Engineers, Data Integration Experts
  • R Programmers and Developers
  • Full Stack Data Visualization Developers
  • Senior BI and Data Visualization Analysts
  • Anybody trying for a profession in Data Visualization
  • Business Analysts and Consultants
  • Advertising and Finance Analysts

WHAT ARE YOUR REQUIREMENTS FOR THIS COURSE ?

  • Enthusiasm and determination to make your mark on the world!

WHAT YOU ARE GOING TO LEARN FROM THIS COURSE ?

  • Profound comprehension of information perception in R
  • Venture on Data Visualization – Analyzing and Visualizing Covid-19
  • What is information representation and choosing the correct diagram type
  • Significance of information representation and its advantages
  • Utilizations of information representation
  • R programs for scatterplot, histogram, bar and stacked bar diagram, boxplot, heatmap, line outline, thickness plot, pie graph
  • Information Visualization with ggplot2 bundle
  • What is ggplot2, plotting with ggplot2, building your plots iteratively
  • Univariate circulations and bar plot, explanation with ggplot2, pivot control, thickness plot
  • More information representation devices in R, text mining and word cloud
  • Radar diagram, waffle outline, territory graph, correlogram

DESCRIPTION

Information Visualization with R – course prospectus

  1. Information Visualization in R

What is information perception?

Choosing right diagram type

Significance of information perception and its advantages

Uses of DATA Visualization

R Programs for Scatterplot, Histogram, Bar and Stacked bar outline, boxplot, heatmap, line diagram, thickness plot, pie graph

  1. Information Visualization with ggplot2 bundle

What is ggplot2

Plotting with ggplot2

Building your plots iteratively

Univariate appropriations and bar plot

Comment with ggplot2

Hub control

Thickness plot

  1. More Data Visualization apparatuses in R

Text mining and word cloud

Radar outline

Waffle outline

Region Chart

Correlogram

Undertaking on Data Visualization

“Picturing Covid-19” thorough venture – make without any preparation

COURSE CONTENT

  • 4 sections • 15 lectures • 8h 37m total length

Getting started with Data Visualization in R3 lectures • 1hr 28min

  • Getting started with Data Visualization in R – part 1Preview28:24
  • Getting started with Data Visualization in R – part 242:00
  • Getting started with Data Visualization in R – part 317:28

Data Visualization with ggplot2 package5 lectures • 3hr 4min

  • Data Visualization with ggplot2 package – part 141:07
  • Data Visualization with ggplot2 package – part 227:40
  • Data Visualization with ggplot2 package – part 330:42
  • Data Visualization with ggplot2 package – part 450:28
  • Data Visualization with ggplot2 package – part 534:13

More Data Visualization Tools in R4 lectures • 2hr 18min

  • More Data Visualization Tools in R – part 131:42
  • More Data Visualization Tools in R – part 231:49
  • More Data Visualization Tools in R – part 334:18
  • More Data Visualization Tools in R – part 439:54

Project on Data Visualization with R3 lectures • 1hr 47min

  • Project: Visualizing Covid-19 – part 134:59
  • Project: Visualizing Covid-19 – part 237:38
  • Project: Visualizing Covid-19 – part 334:50

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