Visualization Tools and Libraries

From decsion making to performance monitoring and customer insights, data visualization plays a crucial role in businesses across various industries. By leveraging data visualizations, we can unlock the value of data, gain insights, and drive success in a competitive market landscape. However, to achieve these, we need to choose the right tools or libraries to do the job.

Visualisation tools

Visualization tools and libraries play a vital role in data science by enabling data scientists to visually explore, analyze, and communicate insights from data. These tools offer various options for customization, interactivity, and data manipulation, allowing users to create interactive visualizations, apply statistical analysis, and combine multiple data sources. They often support different types of visualizations, such as scatter plots, bar charts, heatmaps, network graphs, and geographic maps, among others.

Similarly, they can be standalone applications or integrated into programming languages like Python and R through dedicated libraries. In this section, we'll explore 4 visualization or business intelligence tools.

  • Power BI
  • Tableau
  • Looker Studio

1. Power BI

It is designed by Microsoft to help you analyze and present data in a way that is easy to understand and enables data-driven decision-making. In summary, Power BI allows you to...

  • Connect to various data sources, including Excel spreadsheets, databases, and APIs.
  • Retrieve and combine data from different sources within Power BI.
  • Create visualizations such as charts, tables, and maps using a drag-and-drop interface.
  • No coding is required to build visualizations in Power BI.
  • Customize visualizations according to your preferences.
  • Explore and interact with data through interactive features provided by Power BI.
  • Power BI offers a wide range of visualization options.
  • Create visually appealing and interactive charts, tables, and maps.

2. Tableau

Tableau provides a user-friendly interface that enables users to explore and analyze data without the need for extensive programming skills. In summary...

  • It is a beginner-friendly data visualization tool
  • Empowers novice and expert data scientists to explore, analyze, and communicate data through interactive and visually appealing visualizations.
  • Provides a user-friendly interface, a wide range of visualization options, and ample learning resources to support your journey in data visualization and analysis.
  • Has the ability to create dynamic dashboards, making it an ideal choice for data analysis and communication.

3. Looker studio

👩🏾‍🎨 Practice: Setup Looker Studio... 🎯

  • Sign up for Looker Studio and explore the interface.
  • Identify at least two types of data sources that can be connected to Looker Studio.