Top 5 Data Visualization tools for Data Analyst in 2023 ✨

1) Power BI:
User-friendly interface with drag-and-drop functionality.
Integration with other Microsoft products like Excel and Azure.
Ability to create interactive visualizations, share reports, and collaborate with others.
Offers both a desktop and a cloud-based version (Power BI Service).

2) Tableau:
Intuitive drag-and-drop interface for creating various chart types and dashboards.
Support for live data connections and data blending from multiple sources.
Advanced analytics and forecasting capabilities.
Robust community and resources for learning and troubleshooting.
Available in desktop, server, and online versions.

3) Microsoft Excel:
Familiar interface for creating charts and graphs.
Built-in formulas and functions for data manipulation.
PivotTables for summarizing and analyzing data.
Integration with other Microsoft Office applications.
Suitable for small to medium-sized data sets and basic visualizations.

4) Looker:
Centralized data modeling and governance.
Customizable and interactive dashboards and reports.
Integration with various data warehouses and sources.
Ability to create and share data exploration workflows.
Supports embedding analytics into applications and workflows.

5) QlikView/Qlik Sense:
Associative data model for dynamic data exploration.
In-memory data processing for fast performance.
Creation of interactive and customizable dashboards.
Support for various data connectors and scripting capabilities.
Collaboration features for sharing and discussing insights.

These data visualization tools cater to different needs and preferences, from simple charting in Excel to advanced data exploration and governance in tools like Looker and QlikView/Qlik Sense. The choice of tool depends on your specific requirements, data sources, and level of expertise.


Follow ‪@ShubhamTopiyal‬ & ‪@DigitalTopiyal‬ for more such content. 🏆

#DataAnalytics #PowerBI #Tableau #Excel #Looker #Qlickview #MsExcel