Sakinashaikh: Created page with " {| border =1 |'''Time''' |'''Narration''' |- || 00:01 || Welcome to this tutorial on '''Aesthetic Mapping in ggplot2'''. |- || 00:06 || In this tutorial, we will learn,..."

2020-05-22T10:53:01Z

Created page with " {| border =1 |'''Time''' |'''Narration''' |- || 00:01 || Welcome to this tutorial on '''Aesthetic Mapping in ggplot2'''. |- || 00:06 || In this tutorial, we will learn,..."

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{| border =1
|'''Time'''
|'''Narration'''

|-
|| 00:01
|| Welcome to this tutorial on '''Aesthetic Mapping in ggplot2'''.

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|| 00:06
|| In this tutorial, we will learn,

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|| 00:10
|| What is''' aesthetic'''

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|| 00:12
|| How to create plots using '''aesthetic'''

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|| 00:16
|| Tuning parameters in '''aesthetic'''

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|| 00:20
|| To understand this tutorial, you should know,

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|| 00:24
|| Basics of statistics

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|| 00:27
|| Basics of '''ggplot2''' package

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|| 00:30
|| Data frames

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|| 00:33
||If not, please locate the relevant tutorials on '''R''' on this website.

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|| 00:40
|| This tutorial is recorded on

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|| 00:43
||'''Ubuntu Linux '''OS version '''16.04'''

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|| 00:48
||'''R''' version '''3.4.4'''

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|| 00:52
|| '''RStudio''' version '''1.1.463'''

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|| 00:57
|| Install '''R''' version '''3.2.0''' or higher.

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|| 01:03
|| For this tutorial, we will use

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|| 01:06
|| A '''data frame moviesData.csv''', and

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|| 01:10
||A '''script''' file '''aesPlots.R'''.

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|| 01:16
||Please download these files from the '''Code files''' link of this tutorial.

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|| 01:23
|| I have downloaded and moved these files to '''aesPlots''' folder.

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|| 01:30
||This folder is located in '''myProject''' folder on my '''Desktop'''.

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|| 01:36
|| I have set '''aesPlots''' folder as my '''Working Directory.'''

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|| 01:42
|| Now let us see what is '''Aesthetic'''?

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|| 01:46
|| '''Aesthetic '''is a visual property of the objects in a plot.

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|| 01:50
||It includes lines, points, symbols, colors, and position.

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|| 01:57
|| It is used to add '''customization''' to our plots.

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|| 02:01
|| Let us switch to '''RStudio'''.

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|| 02:05
|| Open the '''script aesPlots.R''' in '''RStudio'''.

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|| 02:11
|| Here, we are plotting a '''scatter plot''' between '''critics_score''' and '''audience_score''' of '''movies'''.

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|| 02:19
|| Run this '''script''' by clicking on the '''Source button'''.

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|| 02:24
|| '''Scatter plot''' appears in the '''Plots''' window.

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|| 02:28
|| '''movies data frame''' opens in the '''Source''' window.

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|| 02:33
|| In this '''scatter plot''', each point refers to a particular movie.

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|| 02:39
|| Suppose we want to color these points according to the '''genre''' of the movies.

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|| 02:45
|| In the '''Source''' window, scroll from left to right.

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|| 02:49
|| As we can see that there are different '''genres''' like

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|| 02:54
|| '''Drama'''

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|| 02:56
|| '''Comedy'''

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|| 02:58
|| '''Horror'''

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|| 03:00
|| '''Documentary''', etc.

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|| 03:03
||So, we will assign a unique color to each '''genre'''.

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|| 03:08
|| Click on the '''script aesPlots.R'''

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|| 03:12
|| In the '''Source''' window, type the following '''commands'''.

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|| 03:18
|| Inside '''aes''', we have added '''color argument''' and set it to '''genre'''.

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|| 03:26
|| Save the '''script''' and run the current line by pressing '''Ctrl+ Enter''' keys simultaneously.

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|| 03:36
|| Modified''' scatter plot''' appears in the '''Plots''' window.

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|| 03:41
|| In the '''Plots''' window, click on the '''Zoom''' button to maximize the plot.

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|| 03:47
|| We can see that each point is assigned a unique '''color''' according to its '''genre'''.

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|| 03:54
||In the right side of the plot, we can view the mapping of '''genres''' with their colors.
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|| 04:01
|| Close this plot.

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|| 04:03
|| Now, we will learn how to draw a '''bar chart''' using '''ggplot function'''.

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|| 04:09
|| In the '''Source''' window, click on '''movies'''.

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|| 04:13
|| In the '''Source''' window, scroll from left to right.

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|| 04:17
|| Let us inspect the '''object''' named '''mpaa underscore rating''' in '''movies'''.

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|| 04:26
|| Click on the '''script aesPlots.R'''

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|| 04:31
|| In the '''Source''' window, type the following '''commands'''.

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|| 04:36
|| Run the last two lines of code.

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|| 04:40
|| '''mpaa_rating '''is a '''factor'''.

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|| 04:45
|| It has 6 '''levels''' like

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|| 04:47
|| '''G''' '''NC-17''' '''PG''' '''PG-13''' '''R''', and '''Unrated'''.

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|| 04:55
|| So, our '''bar chart''' will have 6 different bars.

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|| 05:00
||Each bar will represent the number of movies in each '''level'''.

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|| 05:06
|| In the '''Source''' window, type the following '''command'''.

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|| 05:11
|| Here, we have mapped '''mpaa underscore rating''' on X-axis.

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|| 05:18
|| Next, we have used '''geom underscore bar''' as we are plotting a '''bar chart'''.

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|| 05:25
||Similarly, we can use

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|| 05:27
|| '''geom_line''' to draw a line chart

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|| 05:31
|| '''geom_boxplot''' to draw a box plot

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|| 05:36
|| Run the current line.

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|| 05:39
|| The '''bar chart''' appears in the '''Plots''' window.

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|| 05:43
|| Now, we will learn how to add labels to this '''bar chart'''.

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|| 05:49
|| In the '''Source''' window, after '''geom_bar(), '''type '''space plus sign''' and press '''Enter'''.

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|| 05:58
|| Now type the following '''commands'''.

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|| 06:02
|| Here, we have used '''labs argument''' to add label and title to the bar chart.

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|| 06:09
|| Run the current line.

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|| 06:12
|| The modified '''bar chart''' appears in the '''Plots''' window.

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|| 06:17
|| We can see that most of the movies have been rated as '''R''' in '''mpaa_rating'''.

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|| 06:26
|| Suppose, in this bar chart, we want to view the distribution of movies by '''genre'''.

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|| 06:33
|| In the '''Source''' window, type the following '''command'''.

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|| 06:37
|| Inside '''aes''', we have added '''fill argument''' and set it to '''genre'''.

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|| 06:44
|| Run the current line.

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|| 06:47
|| The modified '''bar chart''' appears in the '''Plots''' window.

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|| 06:52
|| In the '''Plots''' window, click on the '''Zoom''' button to maximize the plot.

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|| 06:58
|| There are seven different colors in each bar.

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|| 07:03
||Besides the plot, the meaning of each color has been given.

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|| 07:09
|| Close the plot.

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|| 07:12
|| In the '''Source''' window, click on '''movies data frame'''.

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|| 07:17
|| Now we will plot a '''histogram '''for the '''object''' named as '''runtime''' in '''movies'''.
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|| 07:25
|| Recall that, we have already learned how to plot a histogram using '''hist function'''.

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|| 07:32
|| Now we will use '''ggplot2 package''' to plot a '''histogram'''.

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|| 07:38
|| Click on the '''script aesPlots.R'''

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|| 07:43
|| In the '''Source''' window, type the following '''command'''.

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|| 07:48
|| Save the '''script''' and run the current line.

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|| 07:53
|| There are some warning messages, which we will ignore for now.

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|| 07:58
|| The histogram appears in the '''Plots''' window.

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|| 08:02
|| Let us summarize what we have learnt.

|-
|| 08:06
|| In this tutorial, we have learnt,

|-
|| 08:09
|| What is '''aesthetic'''

|-
|| 08:11
|| How to create plots using '''aesthetic'''

|-
|| 08:15
|| Tuning parameters in '''aesthetic'''

|-
|| 08:19
|| We now suggest an assignment.

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|| 08:22
|| Using '''built-in data set mtcars''', draw a bar chart from the '''object cyl'''.

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|| 08:30
|| Add suitable labels to this bar chart.

|-
|| 08:34
|| The video at the following link summarises the Spoken Tutorial project.

|-
|| 08:39
||Please download and watch it.

|-
|| 08:42
|| We conduct workshops using Spoken Tutorials and give certificates.

|-
|| 08:47
||Please contact us.

|-
|| 08:49
|| Please post your timed queries in this forum.

|-
|| 08:53
|| Please post your general queries in this forum.

|-
|| 08:57
|| The '''FOSSEE '''team coordinates the '''TBC '''project.

|-
|| 09:01
|| For more details, please visit these sites.

|-
|| 09:05
|| The Spoken Tutorial project is funded by MHRD, Govt. of India

|-
|| 09:12
|| The script for this tutorial was contributed by Varshit Dubey (CoE Pune).

|-
|| 09:19
|| This is Sudhakar Kumar from IIT Bombay signing off. Thanks for watching.

R/C2/Aesthetic-Mapping-in-ggplot2/English-timed - Revision history

Sakinashaikh: Created page with " {| border =1 |'''Time''' |'''Narration''' |- || 00:01 || Welcome to this tutorial on '''Aesthetic Mapping in ggplot2'''. |- || 00:06 || In this tutorial, we will learn,..."