In this chapter, the following content will be discussed: Iterative and combination of data visualization, unique requirements of project, avoid to take much data, audience of problem. | Lecture 05 Recap Iterative and Combination of Data Visualization Unique Requirements of Project Avoid to take much Data Audience of Problem Quantitative Messages eight types of quantitative messages that users may attempt to understand or communicate from a set of data and the associated graphs used to help communicate the message Time-Series Ranking Part-to-Whole Deviation Frequency-Distribution Correlation Nominal Comparison Geographic or Geospatial Time-series: A single variable is captured over a period of time, such as the unemployment rate over a 10-year period. A line chart may be used to demonstrate the trend Ranking: Categorical subdivisions are ranked in ascending or descending order, such as a ranking of sales performance by sales persons during a single period A bar chart may be used to show the comparison across the sales persons Part-to-whole: Categorical subdivisions are measured as a ratio to the whole A pie chart or bar chart can show the comparison of ratios, such as the market share represented by competitors in a market Deviation: Categorical subdivisions are compared again a reference, such as a comparison of actual vs. budget expenses for several departments of a business for a given time period A bar chart can show comparison of the actual versus the reference amount Frequency distribution: Shows the number of observations of a particular variable for given interval, such as the number of years in which the stock market return is between intervals such as 0-10%, 11-20%, etc. A histogram, a type of bar chart, may be used for this analysis A boxplot helps visualize key statistics about the distribution, such as mean, median, quartiles, etc. Correlation: Comparison between observations represented by two variables (X,Y) to determine if they tend to move in the same or opposite directions For example, plotting unemployment (X) and inflation (Y) for a sample of months. A scatter plot is typically used for this message Nominal comparison: . | Lecture 05 Recap Iterative and Combination of Data Visualization Unique Requirements of Project Avoid to take much Data Audience of Problem Quantitative Messages eight types of quantitative messages that users may attempt to understand or communicate from a set of data and the associated graphs used to help communicate the message Time-Series Ranking Part-to-Whole Deviation Frequency-Distribution Correlation Nominal Comparison Geographic or Geospatial Time-series: A single variable is captured over a period of time, such as the unemployment rate over a 10-year period. A line chart may be used to demonstrate the trend Ranking: Categorical subdivisions are ranked in ascending or descending order, such as a ranking of sales performance by sales persons during a single period A bar chart may be used to show the comparison across the sales persons Part-to-whole: Categorical subdivisions are measured as a ratio to the whole A pie chart or bar chart can show the comparison of ratios, such .
