": Introduction to TableAU for MCA Semester 3 or IT Students

Prepared By : Prof. Uday Shah (HOD-IT)

Introduction to TableAU

1. Introduction to Data Visualization

Data Visualization is the process of representing data in graphical or pictorial formats.
It transforms raw numbers and text into visuals like charts, graphs, and maps.
The main aim is to make complex data easy to understand.
Helps to identify patterns, trends, and relationships in the data quickly.
Improves the ability to communicate data insights to both technical and non-technical audiences.
Makes decision-making faster and more accurate by providing a visual context.
Can be used in real-time monitoring of performance metrics.
Supports exploratory data analysis by allowing interactive filtering and drill-down.
Used widely in business, science, education, health, and government sectors.
Popular visualization formats include bar charts, line graphs, pie charts, scatter plots, heat maps, and dashboards.
Data visualization is an important step in Business Intelligence (BI) processes.
It bridges the gap between data collection and decision-making.

2. Data Visualization Tools

Software or platforms that help in creating data visuals easily.
They allow data connection from different sources like Excel, SQL, Cloud services.
Provide a drag-and-drop interface for building charts without coding.
Offer a variety of chart types such as bars, lines, maps, treemaps, funnels, etc.
Some tools support real-time dashboards for continuous data monitoring.
Many tools have interactive features like filters, drill-down, and actions.
Some tools focus on cloud-based sharing, while others offer on-premises deployment.
Popular tools include Tableau, Power BI, Qlik Sense, Looker Studio, Excel, SAP Lumira.
Tools differ in terms of cost, features, ease of use, and integration options.
Some are free (Tableau Public, Google Data Studio) and others are paid (Power BI Pro, Tableau Desktop).
The choice of tool depends on project needs, budget, and data size.
Many tools allow exporting dashboards as PDF, images, or interactive files.

Developer: Power BI is by Microsoft, Tableau by Tableau Software (Salesforce).
Ease of Use: Power BI is generally easier for beginners, Tableau is better for advanced visualizations.
Best For: Power BI suits quick business dashboards; Tableau suits in-depth analysis.
Data Handling: Tableau handles very large datasets more efficiently than Power BI.
Integration: Power BI works best with Microsoft tools; Tableau integrates widely with various platforms.
Cost: Power BI is cheaper; Tableau is generally more expensive.
Speed: Tableau’s Hyper engine is optimized for speed; Power BI can slow down with very large data.
Visuals: Tableau offers more customization and variety in visualizations.
Deployment: Power BI is cloud-first; Tableau offers both cloud and on-premises options.
Community Support: Both have large communities; Tableau’s is more visualization-focused.
Advanced Analytics: Tableau supports direct integration with R and Python more flexibly.
Learning Curve: Power BI is simpler to start; Tableau requires a bit more learning for advanced use.

Tableau is a Business Intelligence and Data Visualization tool.
Allows users to create interactive dashboards and reports.
Connects to multiple data sources like Excel, SQL, and cloud platforms.
Works with both live data and in-memory extracts.
Provides a drag-and-drop interface for easy visualization building.
Enables users to explore data by filtering, sorting, and drilling down.
Supports advanced analytics using calculated fields and integrations with R/Python.
Used by industries like finance, healthcare, retail, and education.
Can be used by non-technical users as well as analysts.
Offers both free (Tableau Public) and paid (Tableau Desktop, Server, Online) versions.
Dashboards created in Tableau can be shared across teams.
Tableau focuses heavily on visual storytelling.

Founded in 2003 in Mountain View, California.
Developed by Christian Chabot, Pat Hanrahan, and Chris Stolte. (ક્રિશ્ચિયન ચાબોટ , પૅટ હૅનરહૅન ,ક્રિસ સ્ટોલ્ટે)
Originated as a project from Stanford University.
Initially aimed to make databases and spreadsheets easier to understand.
First version, Tableau Desktop, was released in 2004.
Expanded product line with Tableau Server and Tableau Public.
Gained global popularity for ease of use and visualization power.
Regularly introduced new features in annual updates.
Released Tableau Prep for data cleaning and preparation.
Acquired by Salesforce in 2019 for $15.7 billion.
Became one of the most widely used BI tools worldwide.
Continues to evolve with AI-driven analytics and automation features.

:: Best Of Luck ::