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This repository contains Tableau dashboard, visualization, and data analysis projects I have created.

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This repository contains Tableau dashboard, visualization, and data analysis projects I have created.

Analyzing Employee Trends

[Analyzing Employee Trends.twbx](Analyzing Employee Trends Dashboard.png)

Project Description

This interactive Tableau dashboard was created to visualize and analyze HR data to derive insights into the employee base. The key goals were to:

  • Provide analysis of employee distribution across business units and roles
  • Identify trends in demographics like age, gender, education level
  • Evaluate employee satisfaction and engagement metrics
  • Analyze factors related to employee attrition and turnover
  • Enable data-driven decision making around HR initiatives

The dashboard brings together employee data from various HR systems into a unified view. It allows slicing and dicing the data by departments, demographics, job attributes and other dimensions.

Some key visualizations include:

  • Headcount and demographics analysis
  • Employee spread by business unit, job function
  • Satisfaction scoring trends over time
  • Attrition rates by age, gender, job role
  • Compensation and performance analysis
  • HR KPIs and metrics

Tableau Dashboard

Exploring Trends in the Automotive Industry

[Exploring Trends in the Automotive Industry.twbx](Exploring Trends in the Automotive Industry.png)

Project Description

This project involved creating an interactive Tableau dashboard to visualize and analyze used car sales data. The key goals were to:

  • Provide insights into sales trends over time
  • Compare performance by transmission, fuel type, ownership etc.
  • Analyze sales and pricing by different car segments
  • Identify relationships between mileage, age and pricing
  • Enable data-driven decision making for inventory, pricing and marketing

The dashboard combines used car listing data from various sources. It allows slicing and dicing - the data by relevant dimensions using filters and parameters.

Key visualizations include:

  • Sales price trends over time
  • Analysis of average pricing, mileage by fuel type, transmission
  • Used car volume by dealer type, owner types
  • Correlation analysis between pricing factors
  • Forecasting of future pricing based on trends

Tableau Dashboard

CallCenter Data Analysis

[CallCenter Data Analysis.twbx](Callcenter Data Analysis.png)

Project Description

This project involved creating an interactive Tableau dashboard to visualize and analyze call center data. The key goals were to:

  • Provide insights into call volume, sentiment, and complaint types
  • Identify trends in response time and service level adherence
  • Compare performance across different channels and locations
  • Enable data-driven decision making for call center operations

The dashboard combines data from call logs, transcripts, surveys, and other sources. It utilizes various charts, metrics, and filters to slice the data by relevant dimensions.

Key visualizations include:

  • Call volume and sentiment breakdowns
  • Analysis of call drivers by most common complaint reasons
  • Response time analysis against service level agreements
  • Call center volume and performance by location
  • Channel analysis comparing call center, email, chat, and web

CallCenter_Data Analysis

About Tableau

Tableau is a powerful data visualization and business intelligence tool. Some key features:

  • Drag and drop interface to build interactive dashboards

  • Broad data connectivity to combine data sources

  • Diverse visualization types including maps, charts, graphs etc.

  • Smart analytics with trendlines, forecasting, clustering etc.

  • Sharing capabilities for visualizations and dashboards

How to Use

  1. Download and install Tableau Desktop
  2. Download the .twbx file for any project
  3. Open the file in Tableau to interact with the visualizations
  4. Connect to your own data sources to create custom dashboards

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This repository contains Tableau dashboard, visualization, and data analysis projects I have created.

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