Data Visualisation and Visual Analytics

Visualisations can be simple, like a single number that represents something significant, or they can be visually complex, like a gradient-coloured map that shows voter sentiment about a certain social issue or concern. The goal of a visual is to present data in a way that provides context and insights, both of which would probably be difficult to discern from a raw table of numbers or text.

1. What is data visualisation?
   Data visualization allows you to make the complex simple, the abstract tangible, and the invisible (data) visible with great illustrations. This shows how to understand your data and your audience, craft the story you need to tell, and determine the best visual model and details to use for that story.
2. How To Expand Your Visual Language?
   - Merge 2 icons, this aims to create a new visual metaphor. What I learned most by seeing my law friend who is working in administration as me, she referred these skills to be essential in note taking and many credits to conduct criminal investigation.
   - You can also check out — the noun project
   - Start creating scenes to use simple images to depict a situation
3. What is an infographic? (video)
   This aims to attract and comprehend our understanding in 5–10 seconds, I guess as a marketing person, these skills to utilise compiling our data statistics and insight into one graphic illustration, I used canva pro, Adobe Photoshop, and Indesign.

One comprehension study found a 70% rate of understanding for medicine labels with text only and 95% with text and pictures

4. Hieroglyphs & Oracle Bone (video)
In the national museum of chinese writing, 3000 years on, China’s oracle bones shed a new light on evolution of script. Imagine visualisation and symbols were identified by ancient writing could form and immensely develops until today. And experts are working hard to unravel the mystery to store character, resource, and document database.

5. The Art of Data Visualization (video)

Expand your visual language: https://www.verbaltovisual.com/expand-your-visual-language/

Introduction to note-taking: https://www.verbaltovisual.com/an-introduction-to-visual-note-taking/

Core Skills — to becoming

Data visualization is ultimately the make-or-break moment for any data science operation or business analytics project. Develop a solid foundation for how to think about the visual interpretation and communication of data and data insights.

• Learn how to communicate the story that data insights represent.
• Master data visualization tools and techniques.
• Discover how to select the right graphic for the right context.

Inspirations

Edward Tufte, American statistical

Steven few, https://www.stephen-few.com/

Two best-selling books cover the fundamentals and guide readers through hands-on practice

The Work of Edward Tufte and Graphics Press

Perceptual Edge - Examples

storytelling with data

Microsoft Power BI is a collection of software services, apps, and connectors that work together to turn your data into interactive insights. You can use data from single basic sources, like a Microsoft Excel workbook, or pull in data from multiple databases and cloud sources to create complex datasets and reports. Power BI can be as straightforward as you want or as enterprise-ready as your complex global business requires.

Power BI consists of three main elements — Power BI Desktop, the Power BI service, and Power BI Mobile — which work together to let you create, interact with, share, and consume your data the way you want.

Resources (book resources): Huang, M. L., Huang, W. (2013) Innovative Approaches of Data Visualization and Visual Analytics.

Become a Data Visualization Specialist:

Digital resources:

• PowerBI Learning certification path: https://www.linkedin.com/learning/power-bi-essential-training?src=li-other&veh=www.linkedin.com%7Cli-other&trk=d_flagship3_nav
• Tableau Essential Training (2018)
  Tableau is a widely used data analytics and visualization tool that many consider indispensable for data-science-related work. Its drag-and-drop interface makes it easy to sort, compare, and analyze data from multiple sources, including Excel, SQL Server, and cloud-based data repositories.
• Learning Data Visualization , certification path

Google Colab

Adding form fields

Camera Capture

Cross-output communication

display.Javascript to execute JavaScript from Python

Downloading files or importing data from Google Drive

Downloading files to your local file system

Evaluate a Javascript expression from Python with eval_js

Hiding code

Importing a library that is not in Colaboratory

Importing data from Google Sheets

Install [cartopy](http://scitools.org.uk/cartopy/docs/latest/)

Install 7zip reader [libarchive](https://pypi.python.org/pypi/libarchive)

Install GraphViz & [PyDot](https://pypi.python.org/pypi/pydot)

Javascript to Python communication

Jupyter Comms

Jupyter Widgets

Listing files in Google Drive

Mounting Google Drive in your VM

Open files from GCS with gsutil

Open files from GCS with the Cloud Storage Python API

Open files from GitHub

Open files from Google Drive

Open files from your local file system

Output Handling

Pandas: display dataframes as interactive tables

Pausing output processing

Rendering SymPy in Colab

Saving data to Google Drive

Saving data to Google Sheets

Saving data with gsutil

Saving data with the Cloud Storage Python API

Serving resources

Showing CV2 Images

Tagged Outputs

Upgrading TensorFlow

Using BigQuery with Cloud API

Using BigQuery with Pandas API

Visualization: Bar Plot in Altair

Visualization: Histogram in Altair

Visualization: Interactive Brushing in Altair

Visualization: Interactive Scatter Plot in Altair

Visualization: Linked Brushing in Altair

Visualization: Linked Scatter-Plot and Histogram in Altair

Visualization: Scatter Plot with Rolling Mean in Altair

Visualization: Stacked Histogram in Altair

Visualization: Time Series Line Plot in Altair