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raov5
/ Data and Plots.ipynb
Last active
December 18, 2017 21:32
This notebook: * Reviews basic commands in R * Introduces variables and assignment * Introduces data types and classes (vectors, lists, matrices, S4, data frames) * Describes how to test for and manipulate data types * Introduces basic plot commands * Describes how to read, write, load shape files
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raov5
/ Visualization of the 1854 London Cholera Outbreak.ipynb
Last active
November 14, 2017 20:04
This notebook attempts to visualize the 1854 London Cholera Outbreak based on data collected by Dr. John Snow and provided in the HistData R package.
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raov5
/ What caused the Challenger disaster?.ipynb
Created
October 27, 2017 01:42
The motivation for this notebook is to examine the reasons behind the explosion of the USA Space Shuttle Challenger on 28 January, 1986. Let's dive in!
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raov5
/ Regression in R.ipynb
Created
October 15, 2017 02:08
This notebook covers:
* Fitting and interpreting linear models
* Evaluating model assumptions
* Selecting among competing models
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raov5
/ Basic Statistics in R.ipynb
Created
September 13, 2017 23:05
This notebook covers:
* Descriptive statistics
* Frequency and contingency tables
* Correlations and covariances
* t-tests
* Nonparametric statistics
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raov5
/ Add a .RData file to a DSX R Notebook in 5 steps.ipynb
Created
September 13, 2017 14:14
This notebook teaches users how to upload an .RData file into an R Jupyter Notebook in IBM's Data Science Experience (DSX).
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raov5
/ Basic Graphs in R.ipynb
Created
September 4, 2017 10:04
This notebook covers:
* Bar, box and dot plots
* Pie and fan charts
* Histograms and kernel density plots
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raov5
/ Advanced Data Preparation in R.ipynb
Created
September 2, 2017 14:01
This notebook covers advanced data preparation in R, including: * mathematical and statistical functions * character functions * looping and conditional execution * user-written functions * ways to aggregate and reshape data
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raov5
/ Data Preparation in R.ipynb
Created
August 24, 2017 13:23
This notebook covers data preparation in R, including: * manipulating dates and missing values * understanding data type conversions * creating and recoding variables * sorting, merging and subsetting datasets * selecting and dropping variables
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raov5
/ Getting started with graphs.ipynb
Created
August 21, 2017 02:48
The notebook covers graphs in R. Specifically:
* creating and saving graphs
* customizing symbols, lines, colors and axes
* annotating with text and titles
* controlling a graph's dimensions
* combining multiple graphs into one
* does NOT cover ggplot2 library
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