π Communicate your results effectively with the best data visualizations
Image credit: UnsplashHugo 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
HuggingFace Dataset
GitHub Repository
Custom embed with manual data
My Custom Resource
A great resource for learning
Custom Images
Embed beautiful images from any source with Hugo image processing (Unsplash, custom URLs, etc.):
Data Visualization Guide
Beautiful data visualization workspace
You can also add images to any platform embed:
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:
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
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
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
An example state diagram:
```mermaid
stateDiagram
[*] --> Still
Still --> [*]
Still --> Moving
Moving --> Still
Moving --> Crash
Crash --> [*]
```
renders as
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
| customer_id | score |
|---|---|
| 1 | 0 |
| 2 | 0.5 |
| 3 | 1 |
Interactive Buttons
Add engaging call-to-action buttons to your data visualization posts:
Basic Buttons
Β
{{< button url="/" >}}Contact Us{{< /button >}}
{{< button url="https://plotly.com/python/" new_tab="true" style="secondary" >}}Learn Plotly{{< /button >}}
Styled Buttons for Data Actions
Β
Β
{{< 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
Β
{{< 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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I am a tenure-track Assistant Professor in the Computer Science department at Thompson Rivers University. My research centers on the impact of generative AI on the learning behavior and outcome in computer science education. Before joining TRU, I was a Postdoctoral Fellow at the UBC Master of Data Science, where I developed and taught a variety of data science courses, including those on statistical inference, machine learning, and technical communication. In addition to teaching, I coordinated the capstone program, facilitating student collaborations with industry partners on real-world data science projects.
Prior to UBC, I worked as a Postdoctoral Fellow in Learning Analytics at the School of Information, University of Michigan. My research focuses on analyzing students social interactions and peer effects from spatio-temporal large scale data. My work has been recognized with competitive grants, and multiple best paper awards at prominent conferences, including LAK18 and HCI International 17.
I hold a PhD in Learning Analytics at The Open University UK, a BSc and MSc in Economics from Maastricht University, Netherlands.
