Quiz
Data Visualization
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Questions in this quiz (30)
1[blank_start]Data-ink ratio[blank_end]: Measures the proportion of what Tufte terms “data-ink” to the total amount of ink used in a table or chart
- AData-ink ratio
2[blank_start]Edward R. Tufte[blank_end] first described the data-ink ratio
- AEdward R. Tufte
3[blank_start]Crosstabulation[blank_end]: A useful type of table for describing data of two variables
- ACrosstabulation
4[blank_start]Data-ink[blank_end]: Ink used in a table or chart that is necessary to convey the meaning of the data to the audience
- AData-ink
5[blank_start]Non-data-ink[blank_end]: Ink used in a table or chart that serves no useful purpose in conveying the data to the audience
- ANon-data-ink
6[blank_start]PivotTable[blank_end]: A crosstabulation in Microsoft Excel
- APivotTable
7[blank_start]Scatter chart[blank_end]: Graphical presentation of the relationship between two quantitative variables
- AScatter chart
8[blank_start]Line chart[blank_end]: A line connects the points in the chart
- ALine chart
9[blank_start]Sparkline[blank_end]: Minimalist type of line chart that can be placed directly into a cell in Excel
- ASparkline
10[blank_start]Column Charts[blank_end]: Use vertical bars to display the magnitude of the quantitative variable
- AColumn Charts
11[blank_start]Trendline[blank_end]: A line that provides an approximation of the relationship between the variables
- ATrendline
12[blank_start]Bar Charts[blank_end]: Use horizontal bars to display the magnitude of the quantitative variable
- ABar Charts
13[blank_start]Charts[blank_end]: Visual methods of displaying data
- ACharts
14Bar and column charts are very helpful in making comparisons between [blank_start]categorical[blank_end] variables
- Acategorical
15[blank_start]Heat map[blank_end]: A two-dimensional graphical representation of data that uses different shades of color to indicate magnitude
- AHeat map
16[blank_start]Scatter chart matrix[blank_end]: Useful chart for displaying multiple variables
- AScatter chart matrix
17[blank_start]Pie charts[blank_end]: Common form of chart used to compare categorical data
- APie charts
18[blank_start]Treemap[blank_end]: Useful for visualizing hierarchical data along multiple dimensions
- ATreemap
19[blank_start]PivotChart[blank_end]: To summarize and analyze data with both a crosstabulation and charting, Excel pairs PivotCharts with PivotTables
- APivotChart
20[blank_start]Stacked column chart[blank_end]: Allows the reader to compare the relative values of quantitative variables for the same category in a bar chart
- AStacked column chart
21[blank_start]Parallel-coordinates plot[blank_end]: Chart for examining data with more than two variables
- AParallel-coordinates plot
22[blank_start]Clustered column chart[blank_end]: An alternative chart to stacked column chart for comparing quantitative variables
- AClustered column chart
23[blank_start]Bubble Chart[blank_end]: Graphical means of visualizing three variables in a two-dimensional graph
- ABubble Chart
24[blank_start]Geographic Information Systems[blank_end]: A system that merges maps and statistics to present data collected over different geographies
- AGeographic Information Systems
25[blank_start]GIS[blank_end]: Helps in interpreting data and observing patterns
- AGIS
26[blank_start]Data dashboard[blank_end]: Data visualization tool that illustrates multiple metrics and automatically updates these metrics as new data become available
- AData dashboard
27[blank_start]Key performance indicators[blank_end]: known as KPI
- AKey performance indicators
28[blank_start]Data Visualization[blank_end]: Creating a summary table for the data and Generating charts to help interpret, analyze, and learn from the data
- AData Visualization
29Data visualization is helpful for [blank_start]identifying data errors[blank_end]
- Aidentifying data errors
30Data visualization [blank_start]reduces the size[blank_end] of your data set by highlighting important relationships and trends in the data
- Areduces the size
Information
- Description
- Business Analytics Quiz on Data Visualization, created by Allona Mae Dapeg on 15/10/2021.
- Author
- Allona Mae Dapeg
- Language
- English
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