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Graphics We have completely revamped our graphics engine, allowing you greater control over the display of data, and supporting the construction of categorical graphs. Basic Features Our all new graph specification interface offers control over almost every aspect of your graph, makes creating and customizing graphs a breeze.
New basic graph types: Dot plot, Area Band. EViews 6 supports character labeling of axes using the workfile structure, with optional rotation of the label, along with symbol labeling in observation graphs. Data may now be assigned to any axis (including bottom and top). Among other things, this allows you to produce rotated graphs.
Graphs may quickly and easily be displayed for summary statistics of your data (e.g., showing a bar graph of the mean values of each series in a group).
Histograms, boxplots, or kernel density graphs may be displayed in the margins of observation (line, bar, scatter, etc.) graphs.
EViews 6 offers a number of new univariate statistical graphs: histograms with options for controlling bins, frequency polygons, histogram edge polygons, average shifted histograms, fitted theoretical distribution plots (e.g., a normal density fit to sample data), empirical log survivor plots, confidence ellipses. In addition, statistical graphs may now be overlaid on other graphs so that you may, for example, draw a kernel density and fitted normal distribution graph on top of a histogram, or you can overlay both a fitted linear regression line and a kernel regression plot on top of a scatterplot.
EViews 6 supports line graphs containing mixed frequency data.
You may now save EViews graph output in .bmp, .gif, .png, and .jpg formats. Categorical Graph Tools Categorical graph tools allow you to construct observation or analytical graphs formed using various subsets of the data, where the subsets are defined using the values of one or more categorical conditioning variables. Using these tools, you may quickly and easily perform complex tasks such as: Displaying a bar plot comparing the mean incomes of individuals living in each state. Producing a scatterplot of wages and hours worked, where the subset of males is drawn using one plotting symbol, and the subset of females uses a different symbol.
Showing wage-education profiles for both male and female workers. Drawing histograms and boxplots of wages for union and non-union workers in different industries. Customization Tools You may now specify custom label elements for axes in frozen graphs. You may now apply fade effects to fill
colors in bars and backgrounds
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