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Books on the topic 'Statistical visualisation'

Author: Grafiati

Published: 9 March 2023

Last updated: 31 July 2025

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1

author, Zuur Alain F., ed. A beginner's guide to data exploration and visualisation with R. Highland Statistics Ltd., 2015.

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2

Mohrenweiser, Jens. Learn Data Visualisations of Descriptive Statistics in Excel for the Gender Pay Report. SAGE Publications Ltd, 2023. http://dx.doi.org/10.4135/9781529668155.

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3

Farebrother, R. W. Visualizing statistical models and concepts. Marcel Dekker, 2002.

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4

O'Donoghue, Peter, Ambikesh Jayal, Allistair McRobert, and Giles Oatley. Sports Analytics: Analysis, Visualisation and Decision Making in Sports Performance. Taylor & Francis Group, 2018.

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5

O'Donoghue, Peter, Ambikesh Jayal, Allistair McRobert, and Giles Oatley. Sports Analytics: Analysis, Visualisation and Decision Making in Sports Performance. Taylor & Francis Group, 2018.

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6

O'Donoghue, Peter, Ambikesh Jayal, Allistair McRobert, and Giles Oatley. Sports Analytics: Analysis, Visualisation and Decision Making in Sports Performance. Taylor & Francis Group, 2018.

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7

Data Analytics for business Edition. Data Analytics : for Statisticians Biologists Scientific Research Surveys : Collect Data with Statistical Tables to Fill for Data /analysis *Average Variance Standard Deviation*: Data Visualisation and Statistical Inference Time Series Data Analysis Tracker. Independently Published, 2020.

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8

Data Analytics for Business : Collect Data Tool with Statistical Tables to Fill for Data Analytics / Analysis *Average Variance Standard Deviation*: Data Visualisation and Statistical Inference Time Series Data Analysis Tracker a Manual for Polls Surveys. Independently Published, 2020.

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9

Data Analytics for Business : Collect Data Tool with Statistical Tables to Fill for Data Analytics / Analysis *Average Variance Standard Deviation*: Data Visualisation and Statistical Inference Time Series Data Analysis Tracker a Manual for Polls Surveys. Independently Published, 2020.

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10

Data Analytics for Business : Collect Data Tool with Statistical Tables to Fill for Data Analytics / Analysis *Average Variance Standard Deviation*: Data Visualisation and Statistical Inference, Time Series Data Analysis Tracker, a Manual for Polls Surveys. Independently Published, 2020.

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11

Data Analytics for Business : Collect Data Tool with Statistical Tables to Fill for Data Analytics / Analysis *Average Variance Standard Deviation*: Data Visualisation and Statistical Inference, Time Series Data Analysis Tracker, a Manual for Polls Surveys. Independently Published, 2020.

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12

Visualization and verbalization of data. CRC Press, Taylor & Francis Group, 2014.

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13

Statistics and Data Visualisation with Python. CRC Press LLC, 2022.

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14

Rogel-Salazar, Jesus. Statistics and Data Visualisation with Python. Taylor & Francis Group, 2022.

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15

Rogel-Salazar, Jesus. Statistics and Data Visualisation with Python. Taylor & Francis Group, 2022.

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16

Rogel-Salazar, Jesus. Statistics and Data Visualisation with Python. Taylor & Francis Group, 2022.

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17

Statistics and Data Visualisation with Python. CRC Press LLC, 2022.

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18

Union of International Associations Staff. Yearbook of International Organizations: Statistics, Visualisations and Patterns. De Gruyter, Inc., 2008.

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19

Visualizing Statistical Models and Concepts (Statistics: a Series of Textbooks and Monogrphs). CRC, 2002.

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20

Garcia, Guilherme D. Data Visualization and Analysis in Second Language Research. Taylor & Francis Group, 2021.

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21

Garcia, Guilherme D. Data Visualization and Analysis in Second Language Research. Taylor & Francis Group, 2021.

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22

Garcia, Guilherme D. Data Visualization and Analysis in Second Language Research. Taylor & Francis Group, 2021.

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23

Data Visualization and Analysis in Second Language Research. Taylor & Francis Group, 2021.

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24

Kirk, Andy. Data Visualisation: A Handbook for Data Driven Design. SAGE Publications, Limited, 2016.

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25

Gibson, Catherine. Geographies of Nationhood. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780192844323.001.0001.

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Geographies of Nationhood examines the meteoric rise of ethnographic mapmaking in the nineteenth and early twentieth centuries as a form of visual and material culture that gave expression to territorialised visions of nationhood. In the Russian Empire’s Baltic provinces, the development of ethnographic cartography, as part of the broader field of statistical data visualisation, progressively became a tool that lent legitimacy and an experiential dimension to nationalist arguments, as well as a wide range of alternative spatial configurations that rendered the inhabitants of the Baltic as part

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26

Data visualisation: A handbook for data driven design. Sage Publications, 2016.

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27

Kirk, Andy. Data Visualisation: A Handbook for Data Driven Design. SAGE Publications, Limited, 2019.

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28

Data Visualisation: A Handbook for Data Driven Design. SAGE Publications, Limited, 2019.

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29

Tracy, Ronald L., Kieran Mathieson, and David P. Doane. Visual Statistics Text with Student CD-ROM package. 2nd ed. McGraw-Hill/Irwin, 2000.

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30

Gamerman, Dani, Marcos O. Prates, Thais Paiva, and Vinicius D. Mayrink. Building a Platform for Data-Driven Pandemic Prediction: From Data Modelling to Visualisation - the CovidLP Project. Taylor & Francis Group, 2021.

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31

Gamerman, Dani, Marcos O. Prates, Thais Paiva, and Vinicius D. Mayrink. Building a Platform for Data-Driven Pandemic Prediction: From Data Modelling to Visualisation - the CovidLP Project. Taylor & Francis Group, 2021.

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32

Building a Platform for Data-Driven Pandemic Prediction: From Data Modelling to Visualisation - the CovidLP Project. Taylor & Francis Group, 2021.

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33

R: Data analysis and visualization : a course in five modules. Packt, 2016.

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34

Interactive Web-Based Data Visualizations with R and Plotly. Taylor & Francis Group, 2020.

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35

Sievert, Carson. Interactive Web-Based Data Visualizations with R and Plotly. Taylor & Francis Group, 2020.

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36

Tripathy, B. K., Shrusti Ghela, and Anveshrithaa Sundareswaran. Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization. Taylor & Francis Group, 2021.

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37

Tripathy, B. K., Shrusti Ghela, and Anveshrithaa Sundareswaran. Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization. Taylor & Francis Group, 2021.

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38

Tripathy, B. K., Anveshrithaa S, and Shrusti Ghela. Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization. Taylor & Francis Group, 2021.

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39

Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization. Taylor & Francis Group, 2021.

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40

Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny. CRC Press LLC, 2020.

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41

Moraga, Paula. Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny. Taylor & Francis Group, 2019.

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42

Moraga, Paula. Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny. Taylor & Francis Group, 2019.

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43

Moraga, Paula. Geospatial Health Data. Taylor & Francis Group, 2019.

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44

Moraga, Paula. Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny. Taylor & Francis Group, 2019.

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