The range of one data set is from 50 to 110. A quick estimate of the standard deviation is ______.

1. The range of one data set is from 50 to 110. A quick estimate of the standard deviation is ______.

A. 5

B. 10

C. 40

D. 140

  Answer; B. 10

2. When calculating the range, every item in the dataset is used in the calculation.

A. True

B. False

Answer; B. False

If you want to calculate range, you only have to subtract the smallest observed value in the data set from the largest observed value.

3. When the mean, median, and mode are the same, this suggests a ____________ distribution.

A. normal

B. bell-shaped

C. symmetrical

D. all of the above.

Answer; C. symmetrical

If a distribution is symmetrical then when a vertical line is drawn at a certain point in the histogram, the left and right of the line are mirror images of one another. Below is an example of a histogram.

The mode in this example is unimodal and shares the same values as the mean and median.

4. Which of the following is not considered a chart used in Data Visualization?

A. Bar

B. Geospatial

C Bubble

D. They are all used

 Answer; D. They are all used

If you’re into data, then you might be wondering exactly what this data visualization is. So, before we get into the nitty-gritty of how it can help your project, let’s start with some basics. Data visualization provides a means of conveying information and displays it in a chart or graph. The use of visual metaphors to represent dynamic concepts has spread over many industries and disciplines that traditionally did not involve visual representation. Some examples of charts used in data visualization include:

1. Bar Charts

A bar chart is a chart that compares categories with different heights. The advantage of bar charts is that it is easier to compare the height of different bars than the length of columns. Bar charts are commonly used to display continuous data values and discrete values. This can be seen in infographics on population, demographics, or GNP (Gross National Product).

2. Pie Charts

A pie chart is a visual representation of a part of the whole which is broken down into parts. When a pie chart is used to represent data, the size of each slice represents the proportion that the data value has in its whole. A problem with pie charts is that it can be hard to visually compare the data in each slice.

3. Line Graphs

A line graph differs from a bar chart in that the data being presented uses points located on a line instead of columns of different heights or widths. Line graphs are used for continuously varying data, such as land temperature or stock prices. One advantage of line graphs is that the differences between the values can be seen more clearly than in other types of charts.

4. Donut Chart

A donut chart, or a radial chart, is a variation of a pie chart. Donut charts use the same concept of showing how much of the whole each value is. However, instead of dividing the chart into sectors, it is divided into concentric circles. The advantage of this type of chart is that it allows for easy comparison between values.

5. Bubble Charts

A bubble graph looks like a scatterplot in which each data point has a different size that represents a numerical value. Bubble charts are popular with the media because they are easy to comprehend, yet they allow for easy comparison between values.

6. Geospatial Charts

A map or chart that uses latitude and longitude or another coordinate system to pinpoint the specific location of an item. Geospatial analysis is used in a variety of applications such as real estate, and healthcare.

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 5. In data visualization, when tracking trends over time the vertical axis is commonly used to measure time.

A. True

B. False

Answer; B. True

Time is typically placed on the x-axis because it enables the representation of other quantities as functions of time, which is helpful in physics. Additionally, time is typically independent of other variables, so by convention, it belongs on the x-axis.

6. A stacked bar chart in data visualization can be used to display three-dimensional data in two dimensions.

A. True

B. False

  Answer; A. True

A stacked bar chart is any graph that organizes data into bars or tiles of different heights. The individual heights of the columns represent the magnitude of the data they are summarizing. It is possible to use a stacked bar graph in 2D or 3D format.

Stacked bar graph shows any type of data, including distributions of numbers, percentages, and measurements. Stacked bar graphs are useful for showing the distribution among categories or levels. They are also used to show trends and relationships. 

7. A pie chart is under consideration for representing product sales in 62 countries. This would be an appropriate choice.

A. True

B. False

 Answer; A. True

 8. The two sections in Tableau that are used to point and drag the data used in a chart include __________ and __________.

A. dimensions, variables

B. data, measures

C. dimensions, attributes

D. dimensions, measures

  Answer; D. dimensions, measures

9. Consider that a histogram has been displayed in Tableau, but the order of the bars along the X-axis is not correct. Tableau does allow the order to be changed.

A. True

B. False

Answer; A. True

10. When Tableau assigns a field to either the Dimensions or Measures sections, if the field contains numbers it will automatically be assigned to Dimensions.

A. True

B. False

  Answer; A. True

11. Two statistics can be used to summarize a normal distribution, they include the __________ and the _________.

A. mean, mode

B. variance, standard deviation

C. mean, standard deviation

D. mode, standard deviation

  Answer; D. mean, standard deviation