Exploring Data and R

Question 1

a preliminary exploration of the data to better understand its characteristic.

Answer 1

Data Exploration

Question 2

are numbers that summarize properties of the data.

Answer 2

Summary Statistics

Question 3

is the percentage of time the value occurs.

Answer 3

Frequency

Question 4

is the most frequent attribute value.

Answer 4

Mode

Question 5

2 MEASURES OF LOCATION

Answer 5

1. Mean
2. Median

Question 6

is the most common measure of the location of a set of points.

Answer 6

Mean

Question 7

alternative of mean since it is very sensitive to outlier.

Answer 7

Median

Question 8

2 WAYS TO MEASURE SPREAD

Answer 8

1. Range
2. Variance of Standard Deviation

Question 9

is the difference between max and min.

Answer 9

Range

Question 10

is the most common measure of the spread of a set of points.

Answer 10

Variance of Standard Deviation

Question 11

is the conversion of data into a visual or tabular format so that the characteristics of the data and the relationships among data items or attributes can be analyzed or reported.

Answer 11

Visualization

Question 12

12 VISUALIATION TECHNIQUES / METHODS

Answer 12

1. Representation
2. Arrangement
3. Selection
4. Histogram
5. Box Plots
6. Two Dimensional Histograms
7. Scatter Plots
8. Contour Plots
9. Matrix Plots
10. Parallel Coordinates
11. Star Plot
12. Chernoff Faces

Question 13

is a visualization technique which is the mapping of information to a visual format.

Answer 13

Representation

Question 14

is the placement of visual elements within a display.

Answer 14

Arrangement

Question 15

is the elimination or the deemphasis of certain objects and attributes.

Answer 15

Selection

Question 16

usually shows the distribution of values of a single variable.

Answer 16

Histogram

Question 17

simplified version of a PDF/histogram.

Answer 17

Box Plots

Question 18

shows the joint distribution of the values of two attributes.

Answer 18

Two Dimensional Histograms

Question 19

attributes values determine the position.

Answer 19

Scatter Plots

Question 20

useful when a continuous attribute is measured on a spatial grid. They partition the planes into regions of similar values.

Answer 20

Contour Plots

Question 21

can plot a data matrix.

Answer 21

Matrix Plots

Question 22

used to plot the attribute values of high-dimensional data.

Answer 22

Parallel Coordinates

Question 23

similar approach to parallel coordinate, but axes radiate from a central point.

Answer 23

Star Plot

Question 24

approach associates each attribute with a characteristic of a face.

Answer 24

Chernoff Faces

Question 25

is a language use statistics system. It is an environment within which many classical and modern statistical techniques have been implemented. for

Answer 25

R

Question 26

Who developed R

Answer 26

Ross Ihaka & Robert Gentlemen

Question 27

is a powerful and productive 3rd party user interface for R.

Answer 27

RStudio IDE

Question 28

RSTUDIO USER INTERFACE

Answer 28

* Console Pane * Source Pane * Environment Pane * Files Pane

Question 29

this is where you can type and execute command.

Answer 29

Console Pane

Question 30

a text editor or the script window where you can edit and save a collection of command.

Answer 30

Source Pane

Question 31

contains object like dataset loaded into R as well as history of all commands executed.

Answer 31

Environment Pane

Question 32

open files, view plots, install and load packages.

Answer 32

Files Pane

Question 33

is used for storing data tables. It is a list of vectors of equal length.

Answer 33

Data Frames

Question 34

2 PLOTTING COMMANDS

Answer 34

* High-Level Plotting Function * Low-Level Plotting Function

Question 35

is a plotting commands that creates a new plot on the graphics device.

Answer 35

High-Level Plotting Function

Question 36

is a plotting commands that adds more information to an existing plot, such as extra points, lines, and labels.

Answer 36

Low-Level Plotting Function

Question 37

is the most frequently used plotting function.

Answer 37

plot() Function

Question 38

offers a powerful graphics language for creating elegant and complex plots.

Answer 38

ggplot2 Package

Question 39

Hadley Wickham

Answer 39

created the ggplot2 package.

Question 40

is where ggplo2 package was based on.

Answer 40

Grammar of Graphics