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  2. Economic graph - Wikipedia

    en.wikipedia.org/wiki/Economic_graph

    Economic graphs are presented only in the first quadrant of the Cartesian plane when the variables conceptually can only take on non-negative values (such as the quantity of a product that is produced). Even though the axes refer to numerical variables, specific values are often not introduced if a conceptual point is being made that would ...

  3. Harrod–Johnson diagram - Wikipedia

    en.wikipedia.org/wiki/Harrod–Johnson_diagram

    The diagram juxtaposes a graph which has input price ratios as its horizontal axis, endowment ratios as its positive vertical axis, and output price ratios as its negative vertical axis. The diagram is named after economists Roy F. Harrod and Harry G. Johnson; the Samuelson-Harrod-Johnson name is in reference to economist Paul Samuelson. [3]

  4. Category:Economics curves - Wikipedia

    en.wikipedia.org/wiki/Category:Economics_curves

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Pages for logged out editors learn more

  5. Income–consumption curve - Wikipedia

    en.wikipedia.org/wiki/Income–consumption_curve

    In economics and particularly in consumer choice theory, the income-consumption curve (also called income expansion path and income offer curve) is a curve in a graph in which the quantities of two goods are plotted on the two axes; the curve is the locus of points showing the consumption bundles chosen at each of various levels of income.

  6. Lorenz curve - Wikipedia

    en.wikipedia.org/wiki/Lorenz_curve

    A complete handout about the Lorenz curve including various applications, including an Excel spreadsheet graphing Lorenz curves and calculating Gini coefficients as well as coefficients of variation. LORENZ 3.0 is a Mathematica notebook which draw sample Lorenz curves and calculates Gini coefficients and Lorenz asymmetry coefficients from data ...

  7. Wikipedia:Graphs and charts - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Graphs_and_charts

    Veusz is a free scientific graphing tool that can produce 2D and 3D plots. Users can use it as a module in Python. GeoGebra is open-source graphing calculator and is freely available for non-commercial users. WebPlotDigitizer, PlotDigitizer's online free app or SplineCloud's plot digitizer can be used to extract data from charts.

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