# Beyond Simple chart Examples

\
Example 1: Tableau Chart Catalog
--------------------------------

[This catalog ](https://public.tableau.com/profile/kevin.flerlage#!/vizhome/TheTableauChartCatalog/TableauChartExamples)provides a list of different chart types with links to actual visualizations built in Tableau and published on Tableau Public. This was developed as a resource for the Tableau community for inspiration and to assist in the understanding of how these chart types might be used in actual use cases. All visualizations on this page are being provided with the permission of the original author and are available for download from Tableau Public. Click on the image to open the actual visualization in a separate browser window. (Note: inclusion does not mean the chart is the best choice for the data represented. Also note that the originator of each chart may not necessarily be represented; these are simply examples).

[                                                                                 Tableau Chart Catalog](https://public.tableau.com/profile/kevin.flerlage#!/vizhome/TheTableauChartCatalog/TableauChartExamples)

![Tableau Chart Type](https://lh6.googleusercontent.com/T_E9cyhE7k9c0cqSdVKxsXSlhnU6xCSPqZHa_YJl8I6RypjrA7ZtXAPwS8l0KsPfyAfO1i2_IAxsF2iHLQbJj1OWgfiuzaswx2Yy-nWysoNGBZNYxTEqFK5mKQ7bhMk-jZeeR-ZLIpM)

## Example 2: **Napoleon’s Invasion of Russia 1812-181**

![https://upload.wikimedia.org/wikipedia/commons/2/29/Minard.png](https://lh4.googleusercontent.com/voxMf-qvMCFs2hnXjPeDE4s5LhtKFC0dcLIyXZpmn54DywC7SnSxwByjCxmVyc_AcaWrIYiXcSG4dzq5xokg-9DbNnU-iLcB0lXrYuY90rgeQjlMnEMZ_y55EBl-KQp0pB340BjPz2o)

The best statistical graphic ever drawn“, is how statistician Edward Tufte described this chart in his authoritative work ‘The Visual Display of Quantitative Information’.  The chart above also tells the story of a war: ***Napoleon’s Russian campaign of 1812***. It was drawn half a century afterwards by Charles Joseph Minard, a French civil engineer who worked on dams, canals and bridges. He was 80 years old and long retired when, in 1861, he called on the innovative techniques he had invented for the purpose of displaying flows of people, in order to tell the tragic tale in a single image. This visualization shows 6 type of data (Number of Solider remaining, Army's direction, Geographic information, Distance, Dates, and Temperature)  in 2 dimensions.&#x20;

Here is the interactive version of this visualization on Tableau public:&#x20;

[https://public.tableau.com/en-us/gallery/recreating-charles-minards-napoleons-march](<https://public.tableau.com/en-us/gallery/recreating-charles-minards-napoleons-march&#xA;>)

## Example 3: **Diagram of the causes of mortality in the army**

![Credit: https://wellcomecollection.org/works/](https://lh6.googleusercontent.com/_BhntnBHqdR0akLm_dTiBewE7k69Mm9fB0ChlXw2t63ntppnFBDTrpU_bbr4DV0uHh-s5C7wrZggou7ElmM43STZ3YGEsOe4rdh__vJha_QhWxwLDGqs8y4yJmJlLixcOB8T26CAXGs)

![https://public.tableau.com/en-us/gallery/recreating-florence-nightingales-coxcomb-chart](https://lh3.googleusercontent.com/6QMPRssPYr27ALArhe1VWFKmvWLrSVCaf1WGUgw_rs6YQrYX3fC8XWFEBO_B3HO3BRBsb7IWH7ekQCgIlxO8FLjIF0mz_yGrBdEHQXQv7M3jNnq0zJ7PiOgj3uuE6ynv93On9K2XM_Y)

## **Example 4: A Pie Chart Redesign in Tableau**<br>

![From Duke Energy](https://lh6.googleusercontent.com/hVZbSeDQmhp7-Irqip8MBdHNSj8Ks00z-6bcB4ukS8rl-hYUPggROBOjZ8h-j-xljGZBwf7rMwkT63u7hDL2bGxFo5Gdbk-5q-CRDg1HY8IJAiuu-L2mXdLhMe9orb3ezOOR07d3YTs)

![](https://lh5.googleusercontent.com/TAG17wbc4aS4ztf6j-yFuet_AUvR4HNfi4q2_ixzCmyk0yBsjx6NCTZUlE8eGv3UdD4QfQgqDJ8EWjAfxuiauQ8NSR24W4H5PNcfGYu_Y9qldmEvnUp43Fa-JZBVuwn6OZIy-y7fSlg)

**Explore this visualization:**[ **link** ](https://public.tableau.com/views/EnergyBillRedesign/EnergyBillRedesign?:embed=y&:embed_code_version=3&:loadOrderID=1&:display_count=y&:origin=viz_share_link&:showVizHome=no)

## [<br>](<https://public.tableau.com/en-us/gallery/recreating-charles-minards-napoleons-march&#xA;>)Example 5: Information Wanted

Here is an example that I created in Tableau:&#x20;

More about his project:&#x20;

![](https://lh6.googleusercontent.com/9T3AxcIUtgz7LX5Z-GfogvRJybMjG1DH_TUDx5w60o1QS_zF2R7kP18584aDheZe5UVDxF-kmZgcImlgMp9Ro0BK8Ba5wIXl6w5mEOlDC-CdFjuW-gxaeJxJTvun-8ZRiFydQ_L14AU)

![](https://lh5.googleusercontent.com/Ab6ZiFZ5_wG20jECWtLfkGnsGld0VKEPzotVTPZqT8O81s_CT6Zadm5c8Jo3gneNzij3oh0xAyKO20-HY3TTJBqPrWwcY3KfsS2UYI_4ksUEcosuo-O9E-FfGm_Xcj955xkz5VbfMoY)

## Example 6: Bubble Art with Tableau

Source: <https://www.flerlagetwins.com/2017/12/geometric-art-in-tableau_17.html>

![Starry Night, Ken Flerlage](https://lh6.googleusercontent.com/x3E1JxOLqfOjerR91eEs7VIGxjYRBUbR3TkwQxDr-QAQ7lwHFh97uSK2TJbF1J5Xjr7VvPQ-cL-Aze_Eo7fUTMMteNDrJ8SsLCHjk0PMSK09xf5eslCkokHaoMPrcDRR2zeYfJ0sqFA)


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://bcds.gitbook.io/learn/tutorials/data-visualization/tableau/beyond-simple-chart-examples.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
