Superstore dataset analysis template

Superstore dataset analysis template. AmazingMartEU2Geo. Dataset includes columns like: Ship Mode: Shipping method used for the order (e. Long-Term-Unemployment-Statistics. We will then run the drop_duplicates() function to drop the duplicated rows. In today’s data-driven age, a large amount of data gets generated daily from various sources such as supply chain and logistics, emails and multi-media, e-commerce websites, healthcare, transaction processing systems, etc. of Feb 18, 2024 · The Superstore Data Analysis Project focuses on extracting insights from a retail superstore dataset. So once that you download the dataset, create a folder named data and put your superstore. Superstore, a fictional retail entity in the U. , Standard Class, Second Class, First Class, Same Day). . Mar 23, 2022 · This is how my dataset looks like. S. Clone the repository and open the '. DATA ANALYSIS AND DASHBOARD. This dataset provides a comprehensive Jan 15, 2020 · If you notice form the above code, it's implying that we need to put our superstore. , specializes in furniture, office supplies, and technology products. The description of data is as follows: "Global Superstore is a customer-centric dataset, which has the data of all the Nov 23, 2023 · Introduction: Welcome to the Global Superstore Dashboard! H ere, I uncovered the symphony of global commerce through data analysis. Using the Superstore dataset, the goal of this machine learning project is to perform Exploratory Data Analysis (EDA) and implement clustering techniques to gain insights into customer behavior and optimize the store's operations. Using DAX and calculated columns, these analyses provided insights into various aspects of the superstore's operations. This Tableau dashboard was created using the Sample Superstore dataset. The analysis and visualizations provided in this project aim to offer stakeholders a comprehensive understanding of Global Superstore's sales data. Super Sample Superstore. Created by Ryan Sleeper, this workbook aims to train users on design, data visualization strategy, and how to use Tableau to get the most out of any data set. Step 2: Create First Tableau worksheet Now go to sheet 1 and start creating the first graph as explained in the 3rd point of business requirement. This PPT Template Dashboard is a dynamic representation of your operational landscape. I downloaded the Global Superstore Orders 2016. xlxs; Quick start with below links. This is a practice project which I did to polish up my Excel skills. Visualize trends with a graph showcasing the weekly ebb and flow of opened and closed cases. The dashboard should include key metrics such as total sales, sales by product, sales by location, sales by customer segment, and sales by product category. Apr 27, 2022 · At the menu, connection to the dataset, data cleaning with Power Queries, Exploratory data analysis, then a bit of dashboard design. Feb 19, 2024 · Introduction. csv dataset on a directory called data. The dataset includes order details, anonymized customer information, product specifics, and financial metrics. The dataset contains information about sales, customers, products, and orders from a fictional Mar 30, 2022 · Analysis from Heatmap. You signed out in another tab or window. Explore and run machine learning code with Kaggle Notebooks | Using data from Superstore Dataset 📊 Superstore Dataset Complete Analysis | Plotly🔵 | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Template 7: Dashboard For IT Operations Data Analysis . Feb 10, 2024 · As part of a comprehensive data analysis project, I embarked on the exploration of a Global Superstore dataset from the year 2016. This is the default view of a dataset in Jupyter Notebook Jul 11, 2024 · Tableau is a perfect tool to leverage Business Intelligence and perform an in-depth and insightful analysis of this data. The SuperStore dataset comprises a comprehensive sales record from a superstore, containing 9,994 entries across 19 distinct fields. xlsx onto my desktop. It provides a comprehensive analysis of sales, profit, and order metrics across various categories, regions, and time periods. The project utilizes a combination of Python, SQL, and Power BI to clean the data, perform exploratory analysis, and create interactive reports. This repository showcases the Superstore Sales Analysis project, which aims to analyze and visualize the sales data of a fictional superstore. Sample superstore dataset contains 13 columns and 9995 rows of observation. The project analyzes the Superstore sales dataset in Tableau, showcasing key insights through a variety of chart types, custom calculations, and interactive features for an in-depth exploration of data trends and patterns. We are going to create 7 datasets from this one big dataset. xlxs; Global Super Store Dataset; Global Super Store Dataset 2016; Map sample Data. By exploring different aspects of the dataset, users can gain valuable insights into sales patterns, shipping costs, and geographic performance. pbix' file in Power BI Desktop to explore the interactive visualizations and gain valuable business insights. Sales and Profit are Moderately Correlated; Discount and Profit are Negatively Correlated; Overall Analysis. Import and… Nov 28, 2019 · Global Super Store Dataset. Superstore Sales Dashboard This Power BI dashboard provides an in-depth analysis of a retail superstore's sales performance, including category insights, regional performance, and customer segmentation. # Drop the duplicated rows superstore. xlxs; Time Series sample data. csv file there on that particular directory or folder. Sep 10, 2024 · In this article, I will guide you through the creation of a sales analysis dashboard using the popular “Superstore Sales” dataset. This report provides an in-depth analysis of the company's performance from 2019 to 2022, highlighting key areas of strength and potential opportunities for growth. The goal of this project is to conduct a comprehensive analysis of the Sample Superstore dataset to gain valuable insights into Sales trends and Profitability of the store and identify areas for improvement. => 4 Sale datasets (I am going to split them into 5 different dataset like 2014–2015–2016–2017 Oct 5, 2023 · Get this template . Dataset and use case presentation Data analysis : 1. Join me on a journey through 72 countries , 359 orders , and a Explore and run machine learning code with Kaggle Notebooks | Using data from Superstore Dataset Superstore: Data Visualization with Power BI | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Power BI Desktop/ Service tutorial; DAX functions; Power BI Visualizations; Hope you enjoyed the Superstore-Sales-Dashboard---Powerbi Power BI dashboards can be a helpfull tool to provide insights into sales performance and trends of an organization. The repository contains the following components: First, connect the sample superstore dataset to Tableau and select the “Order” sheet. g. Power BI is a powerful business intelligence tool that provides various data analysis, visualization, and reporting functionalities. Reload to refresh your session. This corporate style viz is a different take on the classic Tableau Superstore data set. This PPT Set helps track the total number of cases from inception to resolution. The data analysis was divided into sales performance analysis, product analysis, customer analysis, and region analysis. Quickly spot increases or decreases in sales, profit ratio, and shipping time, and switch to the Prescriptive tab to pinpoint the root cause. Sep 8, 2021 · Descriptive, Predictive, Prescriptive Analysis of the Sales SuperStore Dataset through these 5 dashboards. The dataset consisted of three key tables: order (51,290 records)… You signed in with another tab or window. Published: Sep 8, 2021 Updated: Dec 8, 2022. SuperStoreUS-2015. New users can take advantage of the Sample datasets provided by Tableau to experiment and experience various operations and functionality offered by the platform. Jul 29, 2023 · The “Superstore Sales & Profit Analysis” project aims to uncover valuable insights and trends within the Superstore Dataset obtained from Kaggle. The data has 51290 rows, and 24 columns. drop_duplicates(inplace = True) # Find the no. This project focuses on analyzing the SuperStore dataset, which contains Sales and Profit data from a retail store in the United States. The main reason which leads to loss is Discount as if some areas lead to loss due to more discounts, and some areas lead to fewer sales due to fewer discounts, hence it needs to be improved. - WuCandice/Superstore-Sales-Analysis Explore and run machine learning code with Kaggle Notebooks | Using data from Superstore Dataset Superstore analysis🛒 for beginners | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. The dashboard is interactive and allows users to filter data by year and region, while dynamically Jul 9, 2021 · Preview the 17 duplicated rows. You switched accounts on another tab or window. kkyiji vhabms mqnhb eadq npyyi ptffbg usf gqhut wfo zrnpce