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Development Data Science R

Plotly in R Programming

Plotly Library in R Programming
Rating: 4.5 out of 54.5 (4 ratings)
13 students
Created by Mahesh Babu
Last updated 9/2020
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • After completing this course you will get knowledge of basic concepts Plotly Library in R Programming and you can start writing code on your own.

Course content

10 sections • 45 lectures • 2h 50m total length

  • Preview00:47
  • Preview01:57

  • Preview04:33
  • Style Axes Ticks
    05:18
  • Style Axes Ticks with lables
    05:17
  • Hiding Axes Lables Lines and Title
    03:20
  • Reversed Axes
    04:14
  • Hiding Tool Bar
    02:26

  • Preview07:19
  • Hiding Legends
    07:19
  • Positioning of Legends
    04:14
  • Orientation
    01:44
  • Formatting Legend
    03:44
  • Sizing of Legend Items
    02:58
  • Legend Title
    04:24
  • Adding Hover Text
    03:20

  • Customizing Plot Size and Margin
    08:01
  • Auto Adjust Margins
    05:05
  • Embedding logo into Plot
    07:50

  • Marker Border and Color
    04:02
  • Opacity
    04:21
  • Color Opacity
    02:01

  • Preview02:56
  • Styled Scatter Plot
    02:21
  • Colorscale
    01:50
  • ColorBrewer Pallete with Names
    01:25
  • Custom Color Scale
    02:19
  • Coloring with Symbols
    03:14
  • Hover Text in Scatter Plot
    03:14

  • Preview03:28
  • Group Bar Chart
    10:13
  • Stacked Bar Chart
    02:19
  • Hover Text in Bar Chart
    04:25
  • Labels in Bar Chart
    02:22
  • Rotated Names in Bar Chart
    03:27
  • Customization of colors
    02:41
  • Horizontal Bar Chart
    01:34

  • Preview04:37
  • Styling in Line Plots
    02:22
  • Line Plot with Legend
    04:47

  • Preview04:35
  • Styling in Pie Chart
    04:07
  • Text Orientation in Pie Chart
    02:50
  • Donut Chart
    01:19

  • Table Creation
    04:13

Requirements

  • People who wants to learn basics of Plotly Library in R Programming. Also, they should know R Programming basics.

Description

This course will allow you to learn starting from basics of Plotly in R Programming. Plotly Library is used to develop interactive, publication quality graphs. For example this is used to create Line charts, Scatter charts, Bar Charts, Pie Charts, Tables etc., 

Once you complete this course, will be in a position to understand concepts of Plotly library and also can write the code on your own. This course will cover Plotly library in R from basics with examples.

This course is mainly for those who do not have any programming experience and experienced people can take this course to refresh their knowledge.

This course will starts with fundamentals and then slowly will cover required concepts of Plotly in R Programming.

In this course for each topic, there will be a lecture and the same content has been attached in ppt format.

Who this course is for:

  • People who wants to learn Plotly Library in R Programming.

Instructor

Mahesh Babu
Oracle Applications Techno Functional and Data Science
Mahesh Babu
  • 3.8 Instructor Rating
  • 236 Reviews
  • 6,511 Students
  • 18 Courses

I have experience in data science and I am very good at Python programing, Tableau (BI Tool) and R programing. Based on my experience I have created the course by taking real time into consideration.

Also, I have good knowledge of Oracle Applications Techno Functional with experience over 11 years in various modules like AP, AR, GL,iExpenses, iProcurement, PO, OM, INV, Service Contracts, HRMS Work Structures, FixedAssets, E-Business Tax Manager and Workflow. I have worked on various implementation Projects as well as support projects. I have exposure of concepts of Oracle Advance Pricing and have taken many training to people. Also, having good knowledge on Oracle Cloud module like Human Capital Management, Fusion Procurement contracts and Fusion Project Portfolio Management (PPM). I have experience in SCM and Finance modules. Also, I have experience in Oracle Reporting tools like XML and Fusion OTBI.Exposure on RICE (Reports, Interfaces, Conversions, Extensions) components in the areas of Implementation, Up-gradation, and Customization. Having good experience in Bill Presentment Architecture in iReceivables. Oracle Fusion Data loading and also very good knowledge in iStore concepts.

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