Giter Club home page Giter Club logo

superstore-analysis-tableau-dashboards's Introduction

Superstore Analysis Tableau Dashboards

This repository links to multiple sales, profit, and business forecast dashboards that use the Superstore data set from Tableau. Multiple visualization styles are demonstrated over various color schemes: sunburst chart, area chart, donut charts, mapping, etc.

Sources/Citations: Superstore data made available and accessed on Tableau Public

The Superstore Year to Date (YTD) Analysis dashboard was created by me, but it was heavily inspired and used similar visuals by Data Tutorials on YouTube

Business Sales by Region and Product Type

This electric blue and black dashboard illustrates sales for each year in the Superstore data set, and the user may select particular years for further investigation. We look deeper at the state-specific sales by density mapping and identify that the highest sales (in dollars) are in California and New York. Additionally, a box and whisker plot details region and segment sales distributions to understand the customer base. Donut charts give a quick overview that most customers are consumers, and technology as a whole takes the majority of sales. Line charts for sales between 2014 and 2018 indicate that all regions in 2018 still have a way to go in sales for the remaining months of the year.

Business Sales by Region and Product Type by Kristi Bischoff

Superstore_blue_dashboard

Superstore Sales Analysis

This multicolor dashboard illustrates 2017 sales in the Superstore data set. Here we have fun with different graphing styles including: sunburst, area, line and stacked bars. We get layers upon layers of information in these different graphing styles. For example, the sunburst chart indicates that the greatest sum of sales is from phones in the East region of the United States. The other visuals illustrate higher technology sales and/or the East region having higher sales. The stacked bar chart indicates that consumers take slightly more of the sales out of all segments. Average shipping time and quantities are incidcated as well.

Superstore Sales Analysis

Superstore_blue_dashboard

Superstore Year to Date (YTD) Analysis

This purple themed dashboard illustrates 2017 profits in the Superstore data set. The citations and inspiration are mentioned at the beginning of this readme. Shipped quantities each month, profit margins, and simple descriptive statistics about the business are indicated with fun chart styles.

Superstore Year to Date (YTD) Analysis

Superstore Year to Date (YTD) Analysis

superstore-analysis-tableau-dashboards's People

Contributors

kristibischoff avatar

Watchers

 avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.