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https://github.com/balajimohan18/tableau-visualization-project
This repository contains Visualization Projects which is visualized through Tableau Software, by using the visualization we can gain multiple insights and strategies which helps to develop the business for gaining high profit margins and also it provides social values in some cases to reduce damages by calamities.
https://github.com/balajimohan18/tableau-visualization-project
data-analysis data-science data-visualization exploratory-data-analysis tableau tableau-public
Last synced: 3 days ago
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This repository contains Visualization Projects which is visualized through Tableau Software, by using the visualization we can gain multiple insights and strategies which helps to develop the business for gaining high profit margins and also it provides social values in some cases to reduce damages by calamities.
- Host: GitHub
- URL: https://github.com/balajimohan18/tableau-visualization-project
- Owner: Balajimohan18
- Created: 2023-08-31T04:56:29.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2023-08-31T05:12:58.000Z (about 1 year ago)
- Last Synced: 2023-08-31T17:22:49.034Z (about 1 year ago)
- Topics: data-analysis, data-science, data-visualization, exploratory-data-analysis, tableau, tableau-public
- Homepage:
- Size: 9.4 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Tableau-Visualization-Project
This repository contains Visualization Projects which is visualized through Tableau Software, by using the visualization we can gain multiple insights and strategies which helps to develop the business for gaining high profit margins and also it provides social values in some cases to reduce damages by calamities.
## _[Earthquake Analysis](Earthquake%20Analysis)_
This dataset has the historical earthquake data of magnitude above 6 from the year 1900 - 2013.
* This analysis using historical data on earthquakes would enable us to develop insurance products suitable for customers living in these active regions.
* The visualization is used to gain insights on major earthquake and determine their hotspots in each continent.
* The dashboard shows all the major insights and ideas to develop the strategies for gaining benefits in any insurance business firm.
## _[Overseas Workers Salary](Overseas%20Workers%20Salary)_
This dataset contains the USA Foreign Worker's Salary Dataset with their Visa Type.
* This analysis provides the professional category who gets highly paid.
* The data has been provided by US Govt. so its more reliable than third party data acqusition teams.
* This also helps to get a better overview of the H1B Visa applicants about their current salary and the job function with the provided data.
* The report gives Salary trend, Median & Average wages , Visa Category and Visa Class based on Job title.
## _[Rossmann Sales Revenue](Rossmann%20Sales%20Revenue)_
This data is obtained from Kaggle which gives the Sales Data of Rossmann Health Chain Stores.
* This analysis provides the insights which helps to boost the Sales and Earning high profits.
* The data gives the Sales based on various conditions and holidays.
* The Visualization helps us to identify the Sales on different days based on given conditions.
* The final report gives Average Sales Trend per Quarter and Month, Store Revenue Year-wise, Customers Visit during Promotion, State Holiday, School Holiday & Working days and Sales Revenue per Quarter, Month and Day of the week.
## _[Sales Project](Sales%20Project)_
This is the Sales Data by Every Sales Person in different Region.
* This analysis provides the performance of each Sales person for different regions.
* The data is gathered with respect to their personal performances and recorded.
* The visualization helps to identify the high performer and low performer.
* The report explains the sales based on country and region, Revenue by sales person and no. of units sold by each person with respect to region, sales, order and return by product category, Percentage of Returned order.