Data analysis RStudio session 121

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  • Опубликовано: 11 фев 2025
  • This video is part of 121 of R programming full tutorials for beginners. And more focus of this video is put on Using R graphic ggplot2 in R programming.
    Section 1 Get started with R environment
    Introduction and outline
    Introduction of R, Installation of R and RStudio
    Get started working R
    Working with R packages
    Simple example
    Section 2 R data structure, create datasets
    Introduction-R data structure Vector
    Matrix
    Array
    Data frame
    Factor
    List
    Create dataset,data input csv file(read table, read csv)
    Using with()
    Object functions
    Tibble
    Reading Excel file in R
    data.frame() and as.data.frame()
    create, index and modify Data Frame
    create, index and modify list
    Generating Vector and Matrix of Random Numbers in R


    Section 3 Basic data management
    A working example
    Creating new variables
    Recoding variables
    Renaming variables
    Handling missing value
    Date values
    Type conversion
    Sorting data
    Merging datasets
    Subsetting datasets
    Data analysis with() Function
    Modify dataframes transform() Function
    with() and within()
    Get Exclusive Elements between Two Objects in R Programming - setdiff() Function,
    Intersection of Two Objects in R Programming - intersect() Function

    Section 4 Advanced data management
    An Working example
    R mathematical functions
    Statistical functions
    Probability functions
    Character functions
    Using Apply functions
    Solution to Working example
    control flow
    Create your own function
    Transposing data object
    Aggregating data
    Descriptive statistics
    sample() function
    Data Wrangling in R Programming - Data Transformation
    Data Handling in R Programming
    Table function family: table(),xtabs(),prop.table, margin.table,ftable
    Data Reshaping in R Programming



    Section 5 Using R graphic ggplot2
    Introduction of ggplot2
    Start building a graph
    Add Geoms in ggplot()
    Using Grouping
    Using Scales
    Using Facets
    Formulate Labels
    Formulate Themes
    Graphs as objects
    Saving graphs
    Bar charts
    Pie charts
    Histograms
    Box plots
    Kernel density plots
    Violin Plots
    Scatter plots
    Dot plots
    Stem and Leaf Plots
    Tree maps
    Lollipop
    Diverging Bars
    Colorful Display of Categorical/Character Frequencies
    Nested Pie Chart using plotly
    Bubble Plot
    step chart
    Heatmap
    Creating a cumulative step graph in R
    Creating 3D Plots in R Programming - persp() Function
    3D bubble plot in R
    3D plot with rgl package in R

    #rstudio
    #rprogramming
    #rstats
    #dataframe
    #rdatacode

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