Lesson 3: Data Visualization Flashcards

1
Q

Sources of Data

A
  • Manual
  • Automated
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2
Q

__________ is a measure that captures the typical user’s experience.

A

Median

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3
Q

__________ is a measure of symmetry

A

Skewness

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4
Q

We use ____________ if the NUMBER OF DATA” is BIGGER than the range.

A

Frequency distribution

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5
Q

We use _______________ if the RANGE is bigger than the number of data.

A

Histogram

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6
Q

Title
Horizontal axis = Bins
Vertical axis = Frequency
Overflow
Underflow

A

Histogram Distribution

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7
Q

________ is used for qualitative particularly nominal value

A

Mode

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8
Q

____________ The statistical measure that identifies a single value as representative of an entire distribution.

A

Central Tendency

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9
Q

____________ A graph or dataset organized to show the frequency of occurence of each possible outcome of a repeatable event observed many times.

A

Frequency Distribution

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10
Q

The middle number in a sorted ascending or descending list of numbers.

A

Median

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11
Q

A type of distribution in which more values are concentrated on the right side of the distribution graph while the left tail of the distribution graph is longer.

A

Negatively skewed

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12
Q

A set of data, difference between the largest and smallest values

A

Range

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13
Q

The value that appears most frequently in a dataset.

A

Mode

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14
Q

Excel formula to get the mean of a dataset

A

=AVERAGE (defined dataset)

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15
Q

The distributions that occur when the long tail is on the right side of the distribution.

A

Positively Skewed

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16
Q

The average of the given set of values

A

Mean

17
Q

A chart that plots the distribution of a numeric variable’s values as a series of bars.

A

Histogram

18
Q

> +1

A

Positively skewed

19
Q

<-1

A

Negatively skewed

20
Q

(-1, +1)

A

Relatively Symmetric

21
Q

How to find the typical Value?

A
  1. Get the range
  2. Central Tendencies
  3. No. of data
  4. Check if it is Frequency distribution or Histogram
  5. Visualize
22
Q

Steps for Histogram distribution

A
  1. Define column
  2. Find range
  3. Count data set
    - If range is bigger than the data = Histogram
  4. Highlight DATA SET/ Define column
  5. Insert - Histogram
23
Q

Steps for Frequency Distribution

A
  1. Get the range
  2. Check if frequency or Histogram =COUNT(Dataset)
  3. Create a list from Minimum value to Maximum Value
  4. Get the Frequency “Frequency of (name of data) =COUNTIF (Dataset, specific value)
  5. Highlight both column minimum & maximum list and the frequency of dataset
  6. Insert - frequency distribution
  7. Since we only need the frequency of a dataset, delete the min&max list
24
Q

Format of skewdness

A

=SKEW (Dataset)
answer,
comment if within (-1,1) symmetrical distribution, Typical Value = mean
if <1 positively skewed, Typical Value = median
if <-1 negatively skewed, Typical Value = median

25
Q

Visualization Histogram: Positively skewed.

A

•Skewed to the right
•The right tail is longer
•Mean dragged to the right
•Values of data extend to the right

26
Q

Visualization Histogram: Negatively skewed.

A

•Skewed to the left
•The left tail is longer
•Mean to the left of the median
•Values of data extend to the left

27
Q

Visualization Histogram: Symmetric Distribution

A

the mean, median, mode almost coincide

28
Q

Scatter Plots and Correlation Examples:

A
  1. Positive Correlation
  2. Negative Correlation
  3. No Correlation
29
Q

Scatter Plot Relationship

A
  1. Positive Relationship
  2. Negative Relationship
  3. No Relationship