Tableau Story on Google play Store Data Set

This repo contains the Tableau visualizations for the Global Superstore Dataset

Repository of Tableau dekstop

Tabaleu Dashboard/Story creation using Insurance dataset

Data visualization projects using Tableau.

Created worksheets, dashboards, and stories in Tableau to visualize key data from a New York Citi Bike dataset

Business requirements analysis, schema designing, database troubleshooting, sql query, data cleaning, data analysis, data modeling, data visualization using google looker studio.

Relationship between Boston's Residential Building's Interior Characteristics to the Building's Assessed Value

Tableau is a data visualizing tool used most frequently in the industry. It is popular for its easy access and vast variations in the features. So, here are some basic activities of Tableau.

Udacity Data Analyst Nano Degree Program Capstone Projects

Data Standardization & Wrangling for KPI Analysis

Analysis from user trends from Citi Bikes public data page utilizing Tableau visualizations.

Part II of this project focusses on the visualisation of web-scraped data through Tableau.

Tableau Story of CitiBike Ridership: Created a story in Tableau to visualize CitiBike data from 2019 before the pandemic and 2020- after the pandemic to see how it has affected ridership. Data from Citibike was too large to import to Tableau so first I cleaned it in a Jupyter Notebook. Created multiple visualizations and dashboards to illustrate…

This data analysis project focuses on extracting insights from the customer data of Bank UK, a financial institution with branches across England, Scotland, Wales, and Northern Ireland.

A Tableau data story consisting of a series of visualizations analyzing Baltimore City crime trends with the goal of providing valuable and actionable insights to Baltimore PD to promote safer neighborhoods.

Project 6 Uses Tableau to create a story with Dashboards created from worksheets.

Tableau story of the Q1 2023 of Citibike in NYC.

The objective is to analyse salary data across work years, experience levels, employment types, and job titles and provide valuable insights into the economic landscape of these rapidly growing sectors.