This book teaches basic techniques for produce visualizations of tables, time series, maps, text, and networks that communicate data and analyses creatively and effectively. The step by step presentation helps readers learn coding in R and Python while simultaneously becoming familiar with the advantages and disadvantages of each visual.
This book teaches basic techniques for produce visualizations of tables, time series, maps, text, and networks that communicate data and analyses creatively and effectively. The step by step presentation helps readers learn coding in R and Python while simultaneously becoming familiar with the advantages and disadvantages of each visual.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Jose Manuel Magallanes Reyes is a Professor of Political Science and Public Policy and Director of the Institute of Social Analytics and Strategic Intelligence at Pontificia Universidad Católica del Perú (PUCP) and a Visiting Professor at the Evans School of Public Policy at the University of Washington. He is also an Affiliated Researcher at the Center for Social Complexity at George Mason University and a Catalyst Fellow at the University of California- Berkeley Initiative for Transparency in the Social Sciences (BITSS). His work has been funded by BITSS, the eScience Institute of the University of Washington, the Vice Rectorado de Investigación PUCP, the NSF, the Washington Research Fund, the Sloan Foundation, and the Moore Foundation.
Inhaltsangabe
1. Introduction Part I. Get Started: 2. Data for plotting 3. Visualization basics Part II. Visualizing Tabular Data: 4. Insights from ONE variable 5. Insights from TWO variables 6, Insights from THREE or more variables Part III. Beyond Tabular Data: 7. Geospatial data 8. Data from the social network.
1. Introduction Part I. Get Started: 2. Data for plotting 3. Visualization basics Part II. Visualizing Tabular Data: 4. Insights from ONE variable 5. Insights from TWO variables 6, Insights from THREE or more variables Part III. Beyond Tabular Data: 7. Geospatial data 8. Data from the social network.
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