Working with data using rstudio

Background: This sequence is all encircling grounds visualization. However, we must primitive own some knowledge encircling the grounds that we are using to fashion the visualizations.  For this provision, each collocation procure be consecrated its rare groundsset to employment delay. That corresponding groundsset procure be used for twain distribute 1 and distribute 2 of this provision.

Your Assignment:

 Part 1 - Grounds Anatomy delay RStudioProvide harbor shots that pomp anatomy of your groundsset.  For each harbor shot, fascinate pomp expound successions that describes what the present succession(s) of sequence is to end, the sequence in upright syntax for R, and the computed results that R produces.
Analyzing your grounds:Watch the video included in this week's Residency representative to understand the unmixed instructs to spend basic grounds anatomy delay RStudio.Use RStudio to produce results - fashion harbor shots and then paste to a MS signal muniment delay the basic grounds anatomy of your groundsset. Remember to use a expound succession (#) that explains each R instruction. Example: (#sets the employmenting directory).  Commands (setwd, dimheadtailstructuresummary, cor, transfigure, subset).

  • First, set your employmenting directory (instruct - setwd  OR use droop down from RStudio   Session tab.
  • Load your groundsset into RStudio and  search its erection - decipher.csv OR rare your object file from RStudio Files pane. Other commands to use: dim, head, tailstructure, and summary (yield expound successions; the R sequence; and results as harbor shot #1)
  • View your pristine groundsset - search each opportunity/grouping in the grounds - run whether each opportunity is: "categorical" or "continuous" grounds (add this so to harbor shot #1)  
  • Create a interdependence of stats for the groundsset. R requires affirmative opportunitys to be 0/1 instead of no/yes; so, opportunitys must be numeric instead of string - Hint: strength be incontrovertible to Transfigure some opportunitys. If so, fashion a new account of your groundsset delay these transfigureations then do interdependence on transfigureed grounds - instructs: transform and  cor (yield as harbor shot #2) 
  • What is the Min, Max, Median, and Mean of a natural estimate opportunity in your grounds?  (yield so as harbor shot #2)
  • What is the interdependence estimates among all opportunitys in your groundsset? (yield as harbor shot #3)
  • Create a subset of the groundsset delay simply at lowest two opportunity in your groundsset - instructs: subset, cor (yield so as harbor shot #3)

These three (3) harbor shots containing the required grounds details should be placed in a MS Signal muniment and lettered as Distribute 1 - Dataset Anatomy .

Part 2 - Grounds Visualizing delay RStudioBackground: As we own understanded, a lot of purpose goes into the contrivance of a visualization. In this scrutiny of your grounds and its visualization, we resurvey how grounds images govern the rare of graphing - see "Selecting a Graph" hand-out (in this folder).Provide harbor shots that pomps graphs and charts of your groundsset (Do NOT use ggplot2 or other R parcel features - we procure understand and use these trice R features in another precept) For each harbor shot, fascinate pomp expound successions that describes what the present succession(s) of sequence is to end, the sequence in upright syntax for R, and the computed results that R produces.Visualizing your grounds:Review Kirk provision 4 and Res Wknd slide hand-outs to understand the grounds image requirements for each graph image. Also use this  R Tutorial page:  https://www.tutorialspoint.com/r/index.htm for relation on RStudio instructs for creating graphs and charts.Use RStudio to fashion graphs and charts - fashion harbor shots and then paste to your MS signal muniment pomping visuals of your groundsset. Use c ommands (piebarplothist, boxplot, plot).Graphs to Produce:Pie Chart:

  • Create a pie chart that pomps relationships of incontrovertible opportunitys/grouping of your groundsset - see bigot for details. Use instruct: pie (x) - (yield as harbor shot #4)
  • Label the opportunitys/columns as embezzle - see bigot for details, Use instruct pie (x), letters. (yield so as harbor shot #4)
  • Title the pie chart as (a call you prefer). Use instruct pie (x), letters, deep. (yield as harbor shot #5)
  • Color the pie chart using the rainbow discretion. Use instruct pie (x), letters, deep, col. (yield so as harbor shot #5.

Bar Plot:

  • Create a bar concoct that pomps relationships of incontrovertible opportunitys/grouping of your groundsset - Use corresponding foregoing opportunitys/columns Primitive fashion a matrix (H); attribute estimates for each opportunity/column to (H). Use instruct barplot (H). (yield as harbor shot #4)
  • Label the x and y axis as (see bigot). Use instruct barplot (H), xlab, ylab. (yield so as harbor shot #4)
  • Label the x and y axis delay calls (see bigot). Use instruct barplot (H), xlab =, ylab =.  (yield so as harbor shot #4).
  • Title the bar concoct as (a call you prefer).  Use instruct  barplot  (H), xlab   =, ylab   =, deep.    (yield as harbor shot #5).
  • Color the bars in the bar concoct any perversion you endeavor.  Use instruct  barplot  (H), xlab   =, ylab   =, deep, col.    (yield so as harbor shot #5).

Histogram:

  • Create a histogram that pomps abundance of estimates of selected opportunitys/columns of your groundsset - use corresponding foregoing r opportunitys/columns. First, fashion a vector (v) that has estimates for estimates of each opportunity/column. then use character hist (v). (yield as harbor shot #6)
  • Label the x and y axis as (corresponding as foregoing bar concoct). Use character hist (v, xlab =, xlim =, ylab =, ylim =.  (yield so as harbor shot #6)
  • Title the histogram as (corresponding as foregoing bar concoct).  Assign your designation to a variable; designation <- histogram call,  Use character  hist  (v, deep = "title", xlab  =, xlim  =, ylab  =, ylim  =.    (yield as harbor shot #7)
  • Give the histogram any perversion you endeavor. Note: all bars should be the corresponding perversion.   Use character  hist  (v, deep = "title", xlab  =, col =, xlim  =, ylab  =, ylim  =.    (yield so as harbor shot #7)

Box Plot:

  • Create a box concoct that pomps a estimate of the classification  of estimates opposing selected opportunitys/columns of your groundsset - use corresponding foregoing opportunitys/columns. First, fashion a vector (v) that has estimates for estimates of each opportunity/column. then use character   boxplot   (v). (yield as harbor shot #8)
  • Label the x and y axis as (corresponding as foregoing histogram). Use character   boxplot   (v, xlab =, ylab =,    (yield so as harbor shot #8)
  • Title the box concoct as ( a call you prefer).  Use character boxplot (v, main=, xlab =, ylab =,  (yield so as harbor shot #8)
  • Color the box concoct any perversion you endeavor.  Use character   boxplot  ( v, main=, xlab =, ylab =, col =.    (yield so as harbor shot #8)

Scatter Plot:

  • Create a strew concoct  that pomps abundant points of  opportunitys/columns of your groundsset concoctted in a Cartesian plain - use corresponding foregoing opportunitys/columns. First, fashion two variables for opportunitys - for the horizontal coordinate (hw) and upright (vw) for the upright coordinate. then use character  p lot   (vw,hw). (yield as harbor shot #9).
  • Create a strew concoct of upright two of the opportunitys/columns of  your groundsset
  • Choose one opportunity/column of your groundsset and concoct that delay a letter the x coordinate
  • Add a letter to the y axis of this corresponding opportunity/column
  • Add a Titleto  the strew concoct (as you prefer)
  • Color the strew any perversion you endeavor (your rare).

These harbor shots containing graphs and charts of your grounds should so be placed in the corresponding MS Signal muniment and lettered as  Distribute 2 - Dataset Visualizing delay RStudio .  
You should own one MS Signal muniment that pomps twain distribute 1 and distribute 2 as this provision. Your deliverable includes twain distributes of this provision; it so includes your shield page in APA diction pomping: Designation of this project; Collocation perversion and schedule of members, University’s call, Sequence call, Sequence calculate, Professor’s call, and Date. Although this is employment performed in your Group, each understander must support an single observation to iLearn for degree. 

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