public:t-701-rem4:scales_display_of_data
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public:t-701-rem4:scales_display_of_data [2008/10/29 12:59] – created thorisson | public:t-701-rem4:scales_display_of_data [2024/04/29 13:33] (current) – external edit 127.0.0.1 | ||
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| Interval | | Interval | ||
| Ratio | All the properties of an Interval scale PLUS a fixed starting point. Example: Height, salary, weight. | | Ratio | All the properties of an Interval scale PLUS a fixed starting point. Example: Height, salary, weight. | ||
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| Scatterplot | | Scatterplot | ||
| Line diagram | Standard "x-y plot" where a line connects the points. | | Line diagram | Standard "x-y plot" where a line connects the points. | ||
- | | Histogram | ||
| Bar Chart | A set of bars indicate the value of a variable for each value of another variable. | | Bar Chart | A set of bars indicate the value of a variable for each value of another variable. | ||
| Pie Chart | For a total set of data (100%), the % distribution for a dependent variable over a fixed set of (categorical) variable values. | | Pie Chart | For a total set of data (100%), the % distribution for a dependent variable over a fixed set of (categorical) variable values. | ||
+ | | Histogram | ||
| Cumulative graph | The cumulative frequency of a dependent variable over the values of another variable. | | Cumulative graph | The cumulative frequency of a dependent variable over the values of another variable. | ||
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===Graphs: When to Use Which=== | ===Graphs: When to Use Which=== | ||
- | | Scatterplot | | + | | Scatterplot | Good for continuous variables, to show the relationship between two variables. |
- | | Line diagram | + | | Line Chart | Drawing a line between the values indicates relationship between each successive measurement, |
- | | Histogram | + | |
| Bar Chart | When the independent variable is categorical; | | Bar Chart | When the independent variable is categorical; | ||
| Pie Chart | Good for showing distribution among a fixed and low number of dependent variable values, e.g. voting for a small number of political parties. | | Pie Chart | Good for showing distribution among a fixed and low number of dependent variable values, e.g. voting for a small number of political parties. | ||
+ | | Histogram | ||
| Cumulative graph | Good for showing a relationship between counts/ | | Cumulative graph | Good for showing a relationship between counts/ | ||
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+ | ===Examples=== | ||
+ | | Scatterplot | http:// | ||
+ | | Line Chart | http:// | ||
+ | | Bar Chart | http:// | ||
+ | | Pie Chart | http:// | ||
+ | | Histogram | http:// | ||
+ | | Cumulative Graph | [[http:// | ||
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+ | ===Edward Tufte' | ||
+ | | The First Grand Principle: **Enforce Wise Visual Comparisons**, | ||
+ | | The Second Grand Principle: **Show Causality**. We are looking at information to understand mechanisms. Policy reasoning is about examining causality. Napoleon was defeated by the winter, not the opposing army, as shown by the temperature scale o n the bottom of Minard' | ||
+ | | The Third Grand Principle: **The World We Seek to Understand is Multivariate, | ||
+ | | The Fourth Grand Principle: **Completely Integrate Words, Numbers and Images**. Don't let the accidents of the modes of production break up the text, images and data. Just because the artists, technical writers and database people work in differen t buildings doesn' | ||
+ | | The Fifth (most important) Grand Principle: **Most of What Happens in Design Depends upon the Quality, Relevance and Integrity of the Content**. To improve a presentation, | ||
+ | | The Sixth Grand Principle: **Information for Comparison Should be Put Side by Side**, i.e., within the eye span, not stacked in time on subsequent pages, which is known as 'one damn thing after another', | ||
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EOF | EOF |
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