Call Number (LC) | Title | Results |
---|---|---|
QA76.9.I52 M355 2023 | Making with data : physical design and craft in a data-driven world / | 1 |
QA76.9.I52 M37 2016 | Mapping. | 1 |
QA76.9.I52 M38 2020 |
MATLAB style. Matplotlib Unchained. |
2 |
QA76.9.I52 M44 2018 | D3.js in action : data visualization with JavaScript / | 1 |
QA76.9.I52 M45 2013 | Design for information : an introduction to the histories, theories, and best practices behind effective information visualizations / | 1 |
QA76.9.I52 M478 2021eb | Web data APIs for knowledge graphs : easing access to semantic data for application developers / | 1 |
QA76.9.I52 M484 2019eb | Diversity in visualization / | 1 |
QA76.9.I52 M63 2017 |
Module three : influencing factors and considerations for interactivity. Module four : influencing factors and considerations for composition. Module four : influencing factors and considerations for annotation. Module two : transforming the data. Module four : influencing factors and considerations for colour. Module three : a gallery of chart types. Module two : acquiring the data. Module four : features for animation : project and chart annotation. Module two : exploring the data. Module four : features for composition. Module one : defining the vision of your visualisation. Module one : defining data visualisation. Module one : defining the context of your visualisation. Module one : introduction to the design workflow. Module two : examining the data. Module two : what is editorial thinking. Module 1 : why interactive visualization?. Module two : defining editorial perspectives. Module 3 : producing charts with Highcharter. Module 2 : typical workflow for interactive visualizations & reports. Module 3 : producing charts with Plotly. Module 2 : getting data ready. Module four : reviewing your data visualisation capabilities. Module three : influencing factors and considerations for data representation. Module 4 : charts in Shiny. Module 3 : producing a network chart. Module one : the three principles of good visualisation design. Module three : fundamentals of data encoding. Module four : applications of colour. Module three : features for interactivity. |
30 |
QA76.9.I52 M63 2022 | Mobile data visualization / | 1 |
QA76.9.I52 M84 2023 | Visual ergonomics for communication design : a layperson's approach / | 1 |
QA76.9.I52 M85 2020 |
Multiple barcharts. Multiple legends. Multiple lines. |
3 |
QA76.9.I52 M86 2015 | Visualization analysis & design / | 4 |
QA76.9.I52 M87 2013 | Tableau your data! : fast and easy visual analysis with Tableau Software / | 1 |
QA76.9.I52 M87 2016 | Tableau your data! : fast and easy visual analysis with Tableau Software / | 3 |
QA76.9.I52 .M877 2013eb | Tableau your data! : fast and easy visual analysis with tableau software / | 1 |
QA76.9.I52 N48 2016 | Leaders and innovators : how data-driven organizations are winning with analytics / | 3 |
QA76.9.I52 N66 2020 | Nonlinear axis. | 1 |
QA76.9.I52 O25 2020 | Object oriented style. | 1 |
QA76.9.I52 O94 2016 | Overview of visualization. | 1 |
QA76.9.I52 P33 2016 | Packing. | 1 |