Allied American University Analyzing and Data Visualization Discussion Paper

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xunaan

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Allied American University

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The chart you select to represent your data will be influenced by many factors. Kirk (2016) has put each chart into the five main families below:

  • Categorical: Comparing categories and distributions of quantities values
  • Hierarchical: Charting part-to-whole relationships and hierarchies
  • Relational: Graphing relationships to explore correlations and connections
  • Temporal: Showing trends and activities over time
  • Spatial: Mapping spatial patterns through overlays and distortions

Select a chart type from the text and discuss what the chart is used for and why you selected it. (The author has included a lot of different chart types in our course book). You must also provide a real world example of the chart type you selected. For the real world example you provide, you must include the source. For the real world example you must provide a discussion from your own perspective including was it easy to understand or confusing, what would have made this real world example better?

Remember your initial post on the main topic should be posted by Wednesday 11:59 PM (EST). Your 2 following posts should be commenting on your classmates’ post on different days by Sunday 11:59 PM (EST). You should end the week with 3 total discussion posts.

A quality post is more than stating, “I agree with you.” Maybe you should state why you agree with your classmate’s post. Additionally, post some examples or find a related topic on the internet or University’s library and comment on it in the discussion post.

No

PLAGIARISM

PLAGIARISM



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Data Visualization Part C: Developing Your Design Solution Chapter 6 Data Representation Data Representation • Visual Design • What form? • Visual Encoding • Perspectives • Viewer • Designer/visualizers • Marks and Attributes • Correct Blend Details – Marks • Marks • Point • Line • Area • Form Details – Attributes • Attribute • Quantitative attributes • • • • • • • Position Size Angle/Slope Quantity Color – Both Pattern Motion Details – Attributes, Continued • Attribute • Categorical attributes • Symbol/shape • Color - Hue • Relational attributes • Connection/Edge • Containment Chart Types • • • • • Categorical Hierarchical Relational Temporal Spatial Selecting a Graph • Pie Charts ❑ Compare a certain sector to the total. ❑ Useful when there are only two sectors, for example yes/no or queued/finished. ❑ Instant understanding of proportions when few sectors are used as dimensions. ❑ When you use 10 sectors, or less, the pie chart keeps its visual efficiency. Selecting a Graph cont. • Bar Charts/Plots ❑ Ordinal and nominal data sets ❑ Compare things between different groups or to track changes over time ❑ Measure change over time, bar graphs are best when the changes are larger ❑ Display and compare the number, frequency or other measure (e.g. mean) for different discrete categories of data ❑ Flexible chart type and there are several variations of the standard bar chart including horizontal bar charts, grouped or component charts, and stacked bar charts. ❑ Frequency for each category of a categorical variable ❑ Relative frequency (%) for each category Selecting a Graph cont. • Histograms ❑ It plots the frequencies that data appears within certain ranges. ❑ Underlying frequency distribution (shape) of a set of continuous data. ❑ Underlying distribution (e.g., normal distribution), outliers, skewness, etc. ❑ Plot the frequency of score occurrences in a continuous data set that has been divided into classes Selecting a Graph cont. • Box plots ❑ Distribution of a continuous measure by some grouping variable ❑ They measure the spread of the data, sort of like standard deviation. o o o o o o o o The line in the middle of the box is the median. The box itself represents the middle 50% of the data. The box edges are the 25th and 75th percentiles. The vertical size of the boxes are the interquartile range, or IQR. The tops and bottoms of the boxes are referred to as “hinges”. Whiskers: They represent the reasonable extremes of the data. That is, these are the minimum and maximum values that do not exceed a certain distance from the middle 50% of the data. If no points exceed that distance, then the whiskers are simply the minimum and maximum values. Outliers, data points that are too big or too small compared to the rest of the data. Selecting a Graph cont. • Scatter plots ❑ View the potential relationship of two continuous variables ❑ Graphical view of the relationship between two sets of numbers. ❑ Scatter plots show how much one variable is affected by another. ❑ The relationship between two variables is called their correlation. ❑ Find potential relationships between values, and to find outliers in data sets. Influence • • • • • • Decisions Skills Resources Purpose Map Precise General Working with Data • Data Examination • What types fit • Size and shape • Data Exploration • Considerations (notes from day 1) • Trustworthy • Accessible • Elegant
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Explanation & Answer

Attached.

Running head: WHY BAR GRAPHS?

1

Why Bar Graphs?
Student’s Name
Institutional Affiliation

WHY BAR GRAPHS?

2

In this discussion, I select the bar graph. The bar graph is usually extensive, as it
accommodates several variables all at the same time. I selected the bar graph because it
shows how data changes in a given time frame. For example, sales made by a company in
January and February can be compared since the difference can be clearly seen. Data
categories are also independent, in that their freque...


Anonymous
This is great! Exactly what I wanted.

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