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Superstore dataset csv github Contribute to kulture56/USA-Dataset-2019-2022-Data-Analysis-Report development by creating an account on GitHub. 💼 Here's a quick overview of what you'll find in the dashboard:. I completed the IBM SkillsBuild Data Analytics Internship Program to develop my Data Analytics skills and apply them to a real-world problem by working on this project. . (Sorry about that, but we can’t show files that are this big right now Explore a comprehensive analysis of Global Superstore sales, products, profitability, and regions. Explore the code and Sample_Superstore. Original dataset taken from Tableau public dataset website. Find and fix vulnerabilities The Superstore Sales Dataset is a popular dataset used for learning and practicing data analysis, visualization, and machine learning techniques. You signed in with another tab or window. This repository features the Superstore Sales Analysis project, demonstrating data cleaning and analysis using Python and SQL, along with interactive visualization in Power BI. It simulates sales data from a fictional superstore and typically includes various attributes such as product category, sales, profit, quantity sold, customer segment, region, and order date. Contribute to aayushvijay23/SuperStore-DataSet-Analysis development by creating an account on GitHub. #make a copy of dataset, in case something goes wrong #Copying is not recommended for large datasets. In this dashboard we've monitored the Sales of a business by KPI's such as Payment Mode, State, Region, Product Category etc. This is a detailed analysis on customer behavior analysis. Contribute to maiaufrrj/superstore_data development by creating an account on GitHub. Contribute to vy-loc/global-superstore-dataset development by creating an account on GitHub. df This repository contains a Sales and Profit PowerBI dashboard and it's Excel data. About. monthly_sales. The dataset was presented in the paper "A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels", which appeared at WACV 2019. Sep 25, 2021 · Save giaunguyenvan/45a5c95a0f67f0c170dddda6117dfe90 to your computer and use it in GitHub Desktop. csv About This is a sample superstore dataset, a kind of a simulation where you perform extensive data analysis to deliver insights on how the company can increase its profits while minimizing the losses. Contribute to BhanuMythreyi/Superstore-Dataset development by creating an account on GitHub. Clone the repository and open the '. csv at main · SohamB21/Analysis-Of-SuperStore-Dataset test. Explore trends, patterns, and key metrics to inform strate Dataset: Analysis of Super Store - DA. File metadata and controls. Given the insights gained from the EDA, the superstore can choose to remove non-profitable products or invest in marketing efforts for products, segments and geographical areas that are driving their profit. This assignment is based on the Superstore Dataset Provided in "csv" format. df2= df. The Super Store dataset contains data on order details of customers for orders of a superstore ie; chain of multiregional stores under a brand globally. This project offers a user-friendly interface for analyzing and visualizing sales trends, regional performance, and product categories. Loading the Dataset: The dataset, "SampleSuperstore. This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. Contribute to allen-0007/csv-analyzer development by creating an account on GitHub. The dataset is in a CSV format with 51,290 observations and 24 features. 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. Categories and sub categories. Write better code with AI Security. You switched accounts on another tab or window. Find and fix vulnerabilities "Superstore Sales Analysis" conducts comprehensive data exploration and hypothesis testing to derive actionable insights for optimizing sales strategies and increasing profitability in a You signed in with another tab or window. csv - Sales data grouped using D frequency. - nehanaseem/Apple-Store-Data-Analysis This repository contains a Python project for analyzing data from the Apple Store. csv. The three categories all account for over 30% of sales The dataset was presented in the paper "A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels", which appeared at WACV 2019. Identified and removed a duplicate transaction record for the customer Laurel Beltran using the "remove duplicate" function. - Superstore/SampleSuperstore. Contribute to kaikeba/DAG-PythonBook development by creating an account on GitHub. Contribute to Faith0225/supermarket development by creating an account on GitHub. csv - Sales data grouped using MS frequency. This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - leonism/sample-superstore The SuperStore dataset comprises a comprehensive sales record from a superstore, containing 9,994 entries across 19 distinct fields. Available in csv, xlsx and sql format. Contribute to mwale1996/superstore_dataset development by creating an account on GitHub. This project provides an interactive analysis of Superstore sales data using Tableau, offering insights into sales performance, customer behavior, and market trends to help optimize business strategies. Sales and Performance Analysis Dashboard in Power BI - mechieguy/SuperStore-Sales-Dashboard 超市数据分析. Leveraging Python, Streamlit, Pandas, Plotly Express,Matplotlib. csv data source. csv is in the same directory as the Tableau workbook. Dataset Link 📊 Just Launched out of practice: Simple Power BI Dashboard 🚀. Tableau will automatically connect to the dataset and load the visualizations. Explore the interactive dashboards and visualizations to gain insights into the Super Store's sales performance. Resources The dataset, AppleStore. - Analysis-Of-SuperStore-Dataset/Sample - Superstore. Architected a SQL-based Superstore Data Warehouse to analyse trends of customer records to identify profitable market segments and designed Quarterly Sales Forecasting Dashboard to get insights using Tableau. Connect the file to the SuperStore_Sales_Dataset. This project contains sql statements that includes the process of Data Warehousing and Data Mining - yannie28/Global-Superstore You signed in with another tab or window. describe() Lets see if data cleaning is required check for duplicated rows in the dataset. Code. Python数据分析入门与实战代码. This project’s data is open source, it is the Global Superstore dataset obtained from Kaggle. A kaggle's sample superstore dataset, a kind of a simulation where you perform extensive data analysis to deliver insights on how the company can optimize its profit levels. copy() df. This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. The sample was taken from the legendary dataset "Sample Superstore", of a fictional Ecommerce company. The data can be accessed via this link. csv - Monthly total sales data from January 2014 - December 2014. This dataset pertains to a superstore in the US, providing information on customer transactions from 2014 to 2017. Datasets that I use for my learning and research. Top. Discover key insights through interactive visualizations and DAX-powered dashboards. Apriori algoritm from scratch Python. Nowadays, industries adopt data science to better understand their customer’s activity and differentiate their offerings from their competitor. csv," is loaded into a Pandas DataFrame, allowing us to work with the data efficiently. Most of the data sets used in projects I've worked on - DATASETS/superstore. csv at master · nisargaRavikumar/DATASETS Contribute to mrobleto/dataset-files development by creating an account on GitHub. For deploying customer segmentation in e-commerce, data mining approaches like clustering and subgroup discovery will be used. Along with the the dataset there two tasks solved in this repository. head() Lets check some Statistics for our data. You signed out in another tab or window. set_index("Date", inplace=True) Lets see how our dataset looks now. superstore_dataset. Excited to share my latest project! I've created a powerful Power BI dashboard using the Superstore dataset, and I'm thrilled with the insights it provides. Manage code changes Host and manage packages Security. txt , val. Open the Super Store Analysis. The SuperStore Sales Analysis project is a comprehensive data analysis tool designed to provide insights into sales data from a fictional superstore. Contribute to manoj147/apriori development by creating an account on GitHub. txt in the folder dataset includes the paths to the images in the training, validation and test set respectively. The dataset includes order details, anonymized customer information, product specifics, and financial metrics. dataset. csv - Sales data grouped by Order Date; daily_sales. Open the Tableau Workbook: Double-click on Superstore sales analysis. Superstore Sales Dataset 2015 – 2018. Jun 12, 2024 · csv analyzer for superstore dataset. twb to open the Tableau workbook. Used for validation. Place the Dataset: Ensure that Superstore sales dataset. csv We can't make this file beautiful and searchable because it's too large. yearly_sales. The SuperStore Dataset 2019-2022 contains 9,994 sales records across 19 fields, detailing orders, customers, products, and financial metrics, providing insights into regional sales, product categories, and customer behavior. Exploring the Dataset: We perform initial data exploration to understand the structure and contents of the dataset. (Sorry about that, but we can’t show files that are this big right now Personal Project. txt and test. df. csv at master · Wunmi-O/Superstore Superstore Sales Dataset 2015 – 2018. Contribute to Anneybear/Data-Analysis-of-a-Global-Superstore development by creating an account on GitHub. csv, includes various attributes of iOS apps such as user ratings, prices, and genres. pbix file in Microsoft Power BI. Analysis using EDA and Regression. Deleted the Data Analysis Report. Jul 24, 2023 · Applied different Visualization techniques on the dataset and used various libraries such as Plotly, etc. Reload to refresh your session. Plan and track work Code Review. Jul 14, 2022 · GitHub Gist: instantly share code, notes, and snippets. pbix' file in Power BI Desktop to explore the interactive visualizations and gain valuable business insights. How to use the dataset The files train. update: SQL file of superstore has been improved with name new_superstore. csv - Sales data grouped using YS frequency. initial_sales. Contribute to Natasha-Data/Datasets development by creating an account on GitHub. Datasets. , also visualized the data points through PowerBI to study the Profit and Sales Analysis closely & understood the customer sales trends, which will help the supermarket to optimize the purchase. Download the project files from the GitHub repository. Contribute to gitganeshnethi/Datasets development by creating an account on GitHub. sql. Analyze sales data from a supermarket dataset to uncover insights into customer behavior, product performance, and operational efficiency. The data was sourced from Kaggle in CSV format. Contribute to larryt2003/Superstore-Sales-Dataset-2015-2018 development by creating an account on GitHub. ywtirb ivxrf enxgg lrmr muhw kurgcsdb oobjke orve knlcmj qvqws