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📈 Communicate your results effectively with the best data visualizations Use popular tools such as HuggingFace, Plotly, Mermaid, and data frames. 2023-10-25
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Image credit: [**Unsplash**](https://unsplash.com)

Hugo Blox is designed to give technical content creators a seamless experience. You can focus on the content and Hugo Blox handles the rest.

Use popular tools such as Plotly, Mermaid, and data frames.

Embed Rich Content

HuggingFace Model

{{< embed platform="huggingface" resource="google/embeddinggemma-300m" type="model" >}}

HuggingFace Dataset

{{< embed platform="huggingface" resource="fka/awesome-chatgpt-prompts" type="dataset" >}}

GitHub Repository

{{< embed platform="github" resource="HugoBlox/hugo-blox-builder" type="repo" >}}

Custom embed with manual data

{{< embed url="https://example.com" title="My Custom Resource" description="A great resource for learning" >}}

Custom Images

Embed beautiful images from any source with Hugo image processing (Unsplash, custom URLs, etc.):

{{< embed url="https://example.com" title="Data Visualization Guide" description="Beautiful data visualization workspace" image="https://images.unsplash.com/photo-1514888286974-6c03e2ca1dba?q=80&w=800&h=600&auto=format&fit=crop" width="800" height="600" quality="90" >}}

You can also add images to any platform embed:

{{< embed platform="github" resource="plotly/plotly.py" type="repo" image="https://images.unsplash.com/photo-1551288049-bebda4e38f71?w=600&h=400&auto=format&fit=crop" width="600" height="400" >}}

Charts

Hugo Blox supports the popular Plotly format for interactive data visualizations. With Plotly, you can design almost any kind of visualization you can imagine!

Save your Plotly JSON in your page folder, for example line-chart.json, and then add the {{</* chart data="line-chart" */>}} shortcode where you would like the chart to appear.

Demo:

{{< chart data="line-chart" >}}

You might also find the Plotly JSON Editor useful.

Diagrams

Hugo Blox supports the Mermaid Markdown extension for diagrams.

An example flowchart:

```mermaid
graph TD
A[Hard] -->|Text| B(Round)
B --> C{Decision}
C -->|One| D[Result 1]
C -->|Two| E[Result 2]
```

renders as

graph TD
A[Hard] -->|Text| B(Round)
B --> C{Decision}
C -->|One| D[Result 1]
C -->|Two| E[Result 2]

An example sequence diagram:

```mermaid
sequenceDiagram
Alice->>John: Hello John, how are you?
loop Healthcheck
    John->>John: Fight against hypochondria
end
Note right of John: Rational thoughts!
John-->>Alice: Great!
John->>Bob: How about you?
Bob-->>John: Jolly good!
```

renders as

sequenceDiagram
Alice->>John: Hello John, how are you?
loop Healthcheck
    John->>John: Fight against hypochondria
end
Note right of John: Rational thoughts!
John-->>Alice: Great!
John->>Bob: How about you?
Bob-->>John: Jolly good!

An example class diagram:

```mermaid
classDiagram
Class01 <|-- AveryLongClass : Cool
Class03 *-- Class04
Class05 o-- Class06
Class07 .. Class08
Class09 --> C2 : Where am i?
Class09 --* C3
Class09 --|> Class07
Class07 : equals()
Class07 : Object[] elementData
Class01 : size()
Class01 : int chimp
Class01 : int gorilla
Class08 <--> C2: Cool label
```

renders as

classDiagram
Class01 <|-- AveryLongClass : Cool
Class03 *-- Class04
Class05 o-- Class06
Class07 .. Class08
Class09 --> C2 : Where am i?
Class09 --* C3
Class09 --|> Class07
Class07 : equals()
Class07 : Object[] elementData
Class01 : size()
Class01 : int chimp
Class01 : int gorilla
Class08 <--> C2: Cool label

An example state diagram:

```mermaid
stateDiagram
[*] --> Still
Still --> [*]
Still --> Moving
Moving --> Still
Moving --> Crash
Crash --> [*]
```

renders as

stateDiagram
[*] --> Still
Still --> [*]
Still --> Moving
Moving --> Still
Moving --> Crash
Crash --> [*]

Data Frames

Save your spreadsheet as a CSV file in your page's folder and then render it by adding the Table shortcode to your page:

{{</* table path="results.csv" header="true" caption="Table 1: My results" */>}}

renders as

{{< table path="results.csv" header="true" caption="Table 1: My results" >}}

Interactive Buttons

Add engaging call-to-action buttons to your data visualization posts:

Basic Buttons

{{< button url="/" >}}Contact Us{{< /button >}}

 

{{< button url="https://plotly.com/python/" new_tab="true" style="secondary" >}}Learn Plotly{{< /button >}}

{{</* button url="/" */>}}Contact Us{{</* /button */>}}

{{</* button url="https://plotly.com/python/" new_tab="true" style="secondary" */>}}Learn Plotly{{</* /button */>}}

Styled Buttons for Data Actions

{{< button url="#" style="primary" size="lg" align="center" icon="chart-bar" >}}View Dashboard{{< /button >}}

 

{{< button url="/data/results.csv" style="outline" icon="document-arrow-down" >}}Download Data{{< /button >}}

 

{{< button url="https://github.com/HugoBlox" new_tab="true" style="ghost" icon="arrow-top-right-on-square" icon_position="right" >}}View Source Code{{< /button >}}

{{</* button url="#" style="primary" size="lg" align="center" icon="chart-bar" */>}}View Dashboard{{</* /button */>}}

{{</* button url="/data/results.csv" style="outline" icon="document-arrow-down" */>}}Download Data{{</* /button */>}}

{{</* button url="https://github.com/HugoBlox" new_tab="true" style="ghost" icon="arrow-top-right-on-square" icon_position="right" */>}}View Source Code{{</* /button */>}}

Multiple Aligned Buttons

{{< button url="https://jupyter.org/" new_tab="true" style="secondary" rounded="full" align="center" >}}Try Jupyter{{< /button >}}

 

{{< button url="https://colab.research.google.com/" new_tab="true" style="primary" rounded="full" align="center" icon="rocket-launch" >}}Open in Colab{{< /button >}}

{{</* button url="https://jupyter.org/" new_tab="true" style="secondary" rounded="full" align="center" */>}}Try Jupyter{{</* /button */>}}

{{</* button url="https://colab.research.google.com/" new_tab="true" style="primary" rounded="full" align="center" icon="rocket-launch" */>}}Open in Colab{{</* /button */>}}

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