What are top 5 tools to be used for Data Visualization?

Data visualization is the graphical representation of data and information to uncover insights, patterns, and trends that may be hidden within the data. It involves the use of charts, graphs, maps, and other visual elements to communicate complex data in a clear and understandable manner. By transforming raw data into visualizations, organizations can gain valuable insights into their operations, performance, and customers, leading to informed decision-making and strategic planning.

  • Tableau: Tableau is a powerful and widely-used data visualization tool that offers interactive dashboards and intuitive analytics capabilities.
    • Pricing: Tableau offers various pricing plans, including Tableau Desktop (starts at $70 per user per month), Tableau Creator (starts at $70 per user per month), and Tableau Server (starts at $35 per user per month).
  • Microsoft Power BI: Power BI is a business analytics tool by Microsoft that provides interactive visualizations and self-service business intelligence capabilities.
    • Pricing: Power BI offers both a free version with limited features and paid plans, including Power BI Pro (starts at $9.99 per user per month) and Power BI Premium (starts at $4,995 per month).
  • QlikView/Qlik Sense: QlikView and Qlik Sense are business intelligence and data visualization platforms known for their associative data modeling and interactive visualizations.
    • Pricing: Qlik offers various pricing plans, including Qlik Sense Cloud Business (starts at $30 per user per month) and Qlik Sense Enterprise (custom pricing).
  • Google Data Studio: Google Data Studio is a free tool that allows users to create customizable and interactive reports and dashboards using data from various sources.
    • Pricing: Google Data Studio is free to use.
  • Looker: Looker is a data exploration and analytics platform that enables organizations to create and share data-driven insights.
    • Pricing: Looker offers custom pricing based on the number of users and specific use cases.