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Data Visualisation | with R - 100 Examples

On this page, you can find all figures as PDF and PNG files of the book. Thomas Rahlf, Data Visualisation with R 100 Examples. New York et al: Springer International Publishing 2017, XVI, 387 p., four-color print. 19 b/w illustrations, 162 illustrations in colour. eBook ISBN: 978-3-319-49751-8, Hardcover ISBN: 978-3-319-49750-1. Publisher's Web Page for the Book. Data Visualisation - Powered by WordPress. And WP Dev Shed.

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Data Visualisation | with R - 100 Examples | datavisualisation-r.com Reviews
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On this page, you can find all figures as PDF and PNG files of the book. Thomas Rahlf, Data Visualisation with R 100 Examples. New York et al: Springer International Publishing 2017, XVI, 387 p., four-color print. 19 b/w illustrations, 162 illustrations in colour. eBook ISBN: 978-3-319-49751-8, Hardcover ISBN: 978-3-319-49750-1. Publisher's Web Page for the Book. Data Visualisation - Powered by WordPress. And WP Dev Shed.
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Data Visualisation | with R - 100 Examples | datavisualisation-r.com Reviews

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On this page, you can find all figures as PDF and PNG files of the book. Thomas Rahlf, Data Visualisation with R 100 Examples. New York et al: Springer International Publishing 2017, XVI, 387 p., four-color print. 19 b/w illustrations, 162 illustrations in colour. eBook ISBN: 978-3-319-49751-8, Hardcover ISBN: 978-3-319-49750-1. Publisher's Web Page for the Book. Data Visualisation - Powered by WordPress. And WP Dev Shed.

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Data Visualisation | Imprint

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Information in accordance with 5 TMG (German Telemedia Act):. Publisher's Web Page for the Book.

2

Data Visualisation | Category | Time Series

http://www.datavisualisation-r.com/category/time-series

Category Archives: Time Series. Season Figure (Seasonal Subseries Plot) with Data Table. Time Series with Missing Values. Time Series as Scatter Plot (Panel). Monthly Values with Monthly Labels (Layout). Monthly Values with Monthly Labels. Time Series from Weekly Values (Panel). Daily Values with Monthly Labels. Daily Values with Labels and Week Symbols (Panel). Daily Values with Labels. Time Series with Trend (Panel). Areas Under a Time Series. Time Series with Stacked Areas. Short Time Series Overlayed.

3

Data Visualisation | Category | Scatter Plots

http://www.datavisualisation-r.com/category/scatter-plots

Category Archives: Scatter Plots. Map of Germany as Scatter Plot. Scatter Plot With User-Defined Symbols. Scatter Plot with Few Points. Scatter Plot Variant 5: Connected Points. Scatter Plot Variant 4: Superimposed Ellipse. Scatter Plot Variant 3: Areas Highlighted. Scatter Plot Variant 2: Outliers Highlighted. Scatter Plot Variant 1: Four Quadrants Differentiated by Colour.

4

Data Visualisation | Category | Categorical Data

http://www.datavisualisation-r.com/category/categorical-data

Category Archives: Categorical Data. Tree Maps for Two Levels (Panel). Simplified Gantt Chart – Colours by People. Radial Polygons (Panel) – Different Column Arrangement. Pie Charts, Labels Inside (Panel). Column Chart with Shares. Dot Chart for Three Variables. Profile Plot for Multiple Response Questions – Mean Values of the Responses. Column Chart with 45-Degree Labelling. Column Chart with Two-Line Labelling. Bar Chart for Multiple Response Questions – All Response Categories, Grouped.

5

Data Visualisation | Category | Illustrative Examples

http://www.datavisualisation-r.com/category/illustrative-examples

Category Archives: Illustrative Examples. Map of Napoleon’s Russian Campain in 1812/13, by Charles Joseph Minard, 1869. Nighttime Map of Germany as Scatter Plot. Polar Area Chart (Poster). Polar Area Charts Without Labels (Panel). Polar Area Charts with Labels (Panel). Table with Symbols of the Symbol Signs Type Face.

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Welkom | DataVisual

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Data Visualisation | with R - 100 Examples

On this page, you can find all figures as PDF and PNG files of the book. Thomas Rahlf, Data Visualisation with R 100 Examples. New York et al: Springer International Publishing 2017, XVI, 387 p., four-color print. 19 b/w illustrations, 162 illustrations in colour. eBook ISBN: 978-3-319-49751-8, Hardcover ISBN: 978-3-319-49750-1. Publisher's Web Page for the Book. Data Visualisation - Powered by WordPress. And WP Dev Shed.

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