Lab 3: Data Visualization

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Project Background

• What is Data Visualization?

  Data visualization is primarily designed to communicate and communicate information clearly and effectively through graphical means.

  In order to effectively convey the concept of ideas, aesthetic forms and functions need to go hand in hand to achieve insight into fairly sparse and complex data sets by visually communicating key aspects and features.

• The basic idea of Data Visualization technology?

  To represent each data item in the database as a single primitive element. A large number of data sets constitute a data image, and each attribute value of the data is represented in the form of multidimensional data, which can be observed from different dimensions. Data to allow for more in-depth observation and analysis of the data.

• Tasks in Data Visualization

  Task Categories	Task Types
  Data and view specification	Visualize data by choosing visual encodings Filter out data to focus on relevant items Sort items to expose patterns Derive values of models from source data
  View manipulation	Select items to highlight, filter, or manipulate Navigate to examine high-level patterns and low level detail Coordinate views for linked exploration Organize multiple windows and workspaces
  Process and provenance	Record analysis histories for revisitation, review, and sharing Annotate patterns to document findings Share views and annotations to enable collaboration Guide users through analysis tasks or stories

Screenshots

Overview

Pie Chart

Ring Chart

Bar Chart

Bubble Chart

Word Cloud

Scatter Chart (Interactive)

Table

Online Demo

The dashboard has been deployed publicly, and you can access it by scanning the QR code below.

https://sugar.aipage.com