Difference between revisions of "SOCR EduMaterials Activities LineChart"
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<center>[[Image:SOCR_Activities_LineCharts_Chui_090707_Fig3.jpg|400px]]</center> | <center>[[Image:SOCR_Activities_LineCharts_Chui_090707_Fig3.jpg|400px]]</center> | ||
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| + | ==Example (Human Heights and Weights)== | ||
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| + | Generate a Line Chart of the first 20 pairs of the [[SOCR_Data_Dinov_020108_HeightsWeights | Human Height and Weight data]]. Copy the data with your mouse. | ||
| + | <center>[[Image:SOCR_Activities_ScatterCharts_Dinov_020808_Fig3.jpg|500px]]</center> | ||
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| + | Paste it in the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Scatter Plot Chart] (you need to enter an additional column for the index of the weight). | ||
| + | <center>[[Image:SOCR_Activities_ScatterCharts_Dinov_020808_Fig5.jpg|500px]]</center> | ||
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| + | You should get a Scatter plot like this. Notice the summary statistics on the bottom! | ||
| + | <center>[[Image:SOCR_Activities_ScatterCharts_Dinov_020808_Fig4.jpg|500px]]</center> | ||
== Applications == | == Applications == | ||
Revision as of 13:03, 8 February 2008
Contents
LINE CHARTS
Background
Line Charts are often used for physical experiments. From the tables of collected data, values of physical processes can be visually analyzed by the use of line graphs. These charts are typically two-dimensional with unique values that are consecutively connected by a straight line. The dependent variable appears on the vertical axis and the independent variable appears on the horizontal axis.
Physical characteristics such as behaviors of the physical experiment may be easily determined by observing the visualizations of Line Charts.
For references, visit Wikipedia and More Examples.
Description
Go to the SOCR Charts and select Line Charts from the items located on the left, then select the demonstrations for Line Charts:
The image above is a demonstration of a Line Chart with multiple graphs. Notice that the values are connected by a straight line. In this graph, the independent variable lies on the horizontal axis and the dependent variable lies on the vertical axis.
In some events, the independent variables could lie on the vertical axis and the dependent variable could lie on the horizontal axis as long as the values are consistent with the graph. The image below demonstrates this:
Data Type and Format
By clicking Data inbetween the Graph and Mapping button, it allows users to input or vary the values of the data set. There are two different types of data that is allowed for plotting data points which are one categorical variable (e.g., Series) and the remaining values as quantitative variables (numerical values).
Example (Human Heights and Weights)
Generate a Line Chart of the first 20 pairs of the Human Height and Weight data. Copy the data with your mouse.
Paste it in the SOCR Scatter Plot Chart (you need to enter an additional column for the index of the weight).
You should get a Scatter plot like this. Notice the summary statistics on the bottom!
Applications
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation.
For example, scientists may want to compare values of experiments. Suppose researchers are comparing the maximum speed of three different types of engines. Setting the independent variable as the trial number, the dependent variable will be the maximum speed measured for the corresponding event.
For students in physical sciences labs, graphing values of experiments in Line Charts may help present their outcomes in a more appealing way.
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