A histogram is a bar graph that shows frequency data. The horizontal axis should be the independent variable and the vertical axis should be the dependent variable. Click Select (or another variable), click OK. Explore > Histogram. HValue Increase the Histogram window size. You can change the number of intervals, Right Click on the Histogram, in the interval dialogue box, then, “50” select Interval and type click You can also unclick to clean up the window. OK. Display Statistics h) Box Plot (Box Plot is designed to show several critical distributional measures in a single graph, we will be able to see median, upper and lower quartiles, and outliers defined by upper and lower hinges.) Go to Explore > Box Plot. 2) Multivariate exploration a) Scatter plot Scatter plot explores bivariate relationship. first select one more variable. Let’s I) The Scatterplot tool allow us to set a second variable (a bug in the doesn’t immediately program), first we have to from the menu then open the nyc2000 shapefile close all file again. II) Go to and select and Explore > Scatter Plot Top_own as X axis Hvalue as Y. b) Parallel Coordinate Plot (PCP) and brushing (PCP) allows you to observe the relationship between multiple variables I) Go to > Explore > Parallel Coordinate Plot Select three variables: of non-Hispanic black), HVALUE, PCTNHB (percent and household income), and click T0_MINC (median OK. II) Brushing- You can move the mouse around the PCP and highlight portions of the plot to observe the multivariate relationship in a dynamic fashion. (“brushing”)
A histogram is a bar graph that shows frequency data. The horizontal axis should be the independent variable and the vertical axis should be the dependent variable. Click Explore > Histogram. Select HValue (or another variable), click OK. Increase the Histogram window size. You can change the number of intervals, Right Click on the Histogram, select Interval and type “50” in the interval dialogue box, then, click OK. You can also unclick Display Statistics to clean up the window. h) Box Plot (Box Plot is designed to show several critical distributional measures in a single graph, we will be able to see median, upper and lower quartiles, and outliers defined by upper and lower hinges.) Go to Explore > Box Plot. 2) Multivariate exploration a) Scatter plot Scatter plot explores bivariate relationship. Let’s first select one more variable. I) The Scatterplot tool doesn’t immediately allow us to set a second variable (a bug in the program), first we have to close all from the file menu then open the nyc2000 shapefile again. II) Go to Explore > Scatter Plot and select Top_own as X axis and Hvalue as Y. b) Parallel Coordinate Plot (PCP) and brushing (PCP) allows you to observe the relationship between multiple variables I) Go to Explore > Parallel Coordinate Plot > Select three variables: HVALUE, PCTNHB (percent of non-Hispanic black), and T0_MINC (median household income), and click OK. II) Brushing- You can move the mouse around the PCP and highlight portions of the plot (“brushing”) to observe the multivariate relationship in a dynamic fashion.
GeoDa1.docx