[学科前沿] 【R 教学视频】Mastering in Visualization with R programming [推广有奖]

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cmwei333 发表于 2016-10-11 13:52:11 |AI写论文

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Mastering in Visualization with R programming
Graphs with R analytic tool

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3.5 Hours | Lec: 45 | 434 MB

This course is about R programming's feature of visualizing the data. R is a programming language and software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing.  The R language is widely used among data miners and statisticians for developing statistical software. R has many features like Programming feature, statistical feature and visualizing feature.

In this course first we'll focusing towards Basic understanding of R programming and then from very basic to advanced graphics features with use of several packages like ggplot2, plotrix, googleVis etc. In this Course we'll plot different kinds of specialised charts and graphs like bar plots, scatter plots, histograms, pie charts, google maps, wordclouds, box plot, organizational charts, pictographs, table plot, line graphs, nested barcharts, gantt chart, zoom in plot, fan plots, 3D plots, Radial plots, tree maps, heat maps, area charts, venn diagram and many more.

What are the requirements?
• Basic knowledge of statistics
• basic mathematics
• simple programming logics
• basic R programming
• Installed R studio and R commander

What am I going to get from this course?
• learn what is R Programming
• Visualization with R
• Base Graphics v/s Advanced Graphics using R analytics tool
• ggplot2 package
• googleVis package
• plotrix package
• Types of graphs
• basic plotting
• advanced plotting

压缩包内容：

├─01 Module 1 Introduction to the Course
│    001 1.1 What is Data Visualization.mp4
│
├─02 Module 2 Basic R Programming
│    002 2.1 Importance of Data Visualization.mp4
│    003 2.2 R programming Overview.mp4
│    004 2.3 Variables in R.mp4
│    005 2.4 Matrices and Vector.mp4
│    006 2.5 Dataframes and List.mp4
│    007 2.6 Factors and summary methods.mp4
│
├─03 Module 3 Basic Plotting of Graphs in R programming
│    008 3.1 Plot Function.mp4
│    009 3.2 Adding Colors to a Graph- 1.mp4
│    010 3.3 Adding Colors to a Graph- 2.mp4
│    011 3.4 Adding Colors to a Graph-3.mp4
│
├─04 Module 4 Types of Graphs
│    012 4.1 Types of Graphs.mp4
│    013 4.2 Line Graph.mp4
│    014 4.3 Scatter Plot.mp4
│    015 4.4 Barplot.mp4
│    016 4.5 Histogram.mp4
│    017 4.6 Pie Chart.mp4
│    018 4.7 Table Plot.mp4
│    019 4.8 Box Plot.mp4
│    020 4.9 Organizational Chart.mp4
│    021 4.10 Network Graph.mp4
│
├─05 Module 5 Visualization using ggplot2 Package
│    022 5.1 Introduction to ggplot2 Package.mp4
│    023 5.2 qplot Function.mp4
│    024 5.3 Deep dive with ggplot2 Package.mp4
│    025 5.4 ggthemes.mp4
│    026 5.6 Facets.mp4
│    027 5.7 Legends.mp4
│    028 5.8 Annotation.mp4
│    029 5.9 Area Chart.mp4
│
├─06 Module 6 Visualization using Plotrix Package
│    030 6.1 Introduction to plotrix package.mp4
│    031 6.2 Nested Bar Chart.mp4
│    032 6.3 Gantt Chart.mp4
│    033 6.4 Zoom-In-plot.mp4
│    034 6.5 Fan Plot.mp4
│    035 6.6 3D Pie Chart.mp4
│    036 6.7 Adding table to a Plot.mp4
│    037 6.8 Radial Plot.mp4
│
└─07 Module 7 Visualization using googleVis Package
      038 7.1 Introduction to googleVis Package.mp4
      039 7.2 Combination Chart.mp4
      040 7.3 Bubble Chart.mp4
      041 7.4 Gauge Chart.mp4
      042 7.5 Google Maps.mp4
      043 7.6 Timeline Chart.mp4
      044 7.7 Tree Map.mp4
      045 7.8 Calendar Chart.mp4

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