Superstore dataset csv github. - EU-Superstore/Sample - EU Superstore.

Superstore dataset csv github File metadata and controls. Instant dev environments This is a practice project which I did to polish up my Excel skills. 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. Dataset containing Sales & Profits of a Superstore. Some improvement like data type and value of the column has been formatted correctly without re-formatted for usage 超市数据分析. This assignment is based on the Superstore Dataset Provided in "csv" format. Raw. Write better code with AI Code review. csv at main · Nrj27/Sample-Superstore-Dataset-Analysis Write better code with AI Security. 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. It involves the exploration, visualization, and understanding of the dataset to gain insights, identify patterns, and detect anomalies. Let's try to create a custom class in Python by Most of the data sets used in projects I've worked on - DATASETS/superstore. This project is an analysis of the Sample SuperStore dataset. You signed in with another tab or window. We read every piece of feedback, and take your input very seriously. Contribute to apoorva2796/DataSet development by creating an account on GitHub. Instant dev environments Dataset: Analysis of Super Store - DA. Ideal for analysis and modeling, the data is available in CSV format. The sample was taken from the legendary dataset "Sample Superstore", of a fictional Ecommerce company. Here i pushed most frequently charts that used for data visualization in Data Science. xls at master · ARAPIL/EU-Superstore Superstore Sales Dataset 2015 – 2018. Sales and Performance Analysis Dashboard in Power BI - mechieguy/SuperStore-Sales-Dashboard This Google Play Store dataset from Kaggle, analysis using Python, NumPy , Pandas , and Matplotlib. Find and fix vulnerabilities Contribute to vy-loc/global-superstore-dataset development by creating an account on GitHub. You switched accounts on another tab or window. After finishing the data cleaning,now the requirement is to convert the cleaned csv to sql file and create a table called "superstore" in the PHP Admin. This project Datesets for learning Tableau. Clone the repository and open the '. Skip to content. - Analysis-Of-SuperStore-Dataset/Sample - Superstore. csv is now cleaned and ready for data analysis. 3 million App Data) and 24 attributes - gauthamp10/Google-Playstore-Dataset GitHub community articles Repositories. The data can be accessed via this link. - WMF07/SuperStore-SalesDashboard You signed in with another tab or window. It includes order specifics, product sequences, order timing, and aisle/department info. This analysis aims to provide insights into the data and help identify areas where the company can increase its profits while minimizing losses. Superstores industry comprises of companies that operateby having large size spaces which store and supply large amounts of goods. The description of data is as follows: "Global Superstore is a customer-centric dataset, which has the data of all the You signed in with another tab or window. Write better code with AI Security SuperStoreOrders Dataset. Identified and removed a duplicate transaction record for the customer Laurel Beltran using the "remove duplicate" function. Contribute to kaikeba/DAG-PythonBook development by creating an account on GitHub. Sign in Product GitHub community articles Repositories. The project analyzes the Superstore dataset to uncover insights on profitable product categories, regions with high sales and profit, and the most profitable products. csv Background A Superstore operates across multiple regions, selling a diverse range of products including furniture, office supplies, and technology. csv with basic of data scientist procedures - hanjes15/dataset_superstore_simple-analysis. From importing and cleaning data to crafting advanced charts and forecasting, this project has been a labor of love. By analysing this dataset, the project seeks to uncover patterns, trends, and factors influencing the store's performance to facilitate informed Learning :- Incorporated data analysis techniques, specializing in time series analysis, to deliver valuable insights, accurate sales forecasting, and interactive dashboard creation, driving busin Saved searches Use saved searches to filter your results more quickly You signed in with another tab or window. This dataset pertains to a superstore in the US, providing information on customer transactions from 2014 to 2017. The analysis will consist of data cleaning, exploratory data analysis (EDA), a simple case of linear regression, a more complete study of multiple linear regression and finally a The Dataset used was found on Kaggle. S These datasets and files are used by Prof. Once you have the dataset, the next step is to import it into our Python environment using the Pandas 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, Contribute to BhanuMythreyi/Superstore-Dataset development by creating an account on GitHub. Manage code changes Contribute to snehajha11/SuperStore-Sales development by creating an account on GitHub. Data visualization with Python is a crucial technique for interpreting complex data sets. The data can be found and downloaded here: Our data consists of ~10,000 products bought in ~5,000 orders made by Superstore Sales and profit. The store aims to enhance its decision-making process by utilizing data-driven insights to monitor sales performance, manage inventory, and understand Contribute to Koushik-45/Super-store-sales development by creating an account on GitHub. Find and fix vulnerabilities The Superstore dataset is a publicly available dataset that contains sales data for a fictional company. Reload to refresh your session. Navigation Menu GroceryStoreDataSet. GitHub Copilot. Utilizing data analysis methods, with a focus on time series analysis, to provide valuable insights, precise sales predictions, and the development of interactive dashboards, contributing to the ac Superstore dataset Link superstore_dataset. csv at master · nisargaRavikumar/DATASETS. The data was sourced from Kaggle in CSV format. (2. 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. csv #make a copy of dataset, in case something goes wrong #Copying is not recommended for large datasets. The dataset, from Instacart, comprises 3M+ grocery orders by 200K+ users. By identifying these factors, actionable recommendations will be provided to enhance revenue and profitability for the company. . Contribute to larryt2003/Superstore-Sales-Dataset-2015-2018 development by creating an account on GitHub. They want to launch a new offer - gold membership, that gives a 20% discount on all purchases, for only 499 dollar (usually 999 dollar on other days). Contribute to prasertcbs/basic-dataset development by creating an account on GitHub. Explore trends, patterns, and key metrics to inform strate You signed in with another tab or window. csv at main · anwarraif/R_ExploratoryDataAnalysis ER-Diagram of the Data Model. Enterprise-grade AI A Tableau Project. - EU-Superstore/Sample - EU Superstore. Contribute to AmgadEsawy/Sample-Super-Store-Dataset development by creating an account on GitHub. The dataset includes order details, anonymized customer information, product specifics, and Clone this repository at <script src="https://gist. Superstore_cleaned_dataset. Plan and track work Code Review. update: SQL file of superstore has been improved with name new_superstore. Explore the code and reports to gain insights into sales performance, customer behavior, and Datasets that I used during data analysis and machine learning - Datasets/Sample-Superstore. I've performed Exploratory Data Analysis on the dataset SampleSuperstore. com/giaunguyenvan/45a5c95a0f67f0c170dddda6117dfe90. Automate any workflow Codespaces. csv at master · plotly/datasets You signed in with another tab or window. - MarymAhmd/Superstore-Sales-Performance You signed in with another tab or window. Using libraries like Matplotlib, Seaborn, and Plotly, you can create a wide range of visual representations This Github repository contains a US superstore dataset with customer, product, and revenue information. You can access the dataset here. The sample was taken from the legendary dataset Here’s the source link for the dataset that I have used for this project — superstore. The primary goal of this project is to analyze sales trends, customer segments, and product performance based on a historical dataset of store transactions. An interactive dashboard was developed to compare product sales & profits for segments in different European Countries. Now that we've come a long way of exploring our superstore. The dataset includes information on product sales, customer demographics, and sales transactions. The implementation of the ER-Diagram (Entity Relationship Diagram) of the database on MySQL Workbench. This analysis was conducted as a task assigned by Vikot Solutions limited. copy() df. Exploratory Data Analysis (EDA) is a crucial first step in the data analysis process. This project uses the Global We read every piece of feedback, and take your input very seriously. csv at main · michaelrollins23/Superstore-Dataset This project focuses on analyzing and visualizing the Superstore Sales Data using Power BI to derive actionable business insights. This project uses the Global Superstore dataset, which is open source and available on Kaggle. Explore the code and You signed in with another tab or window. Here’s the source link for the dataset that I have used for this project — superstore. To get started with this project, you'll need to have access to Google Colab. The SuperStore Database Management Project (DBMD) is a comprehensive solution designed to streamline and optimize the operations of an e-commerce business. ; Exploratory Data Analysis I conducted a sales analysis of a supermarket store and derived several key insights. Contribute to Faith0225/supermarket development by creating an account on GitHub. About: The superstore data analysis project aims to gain meaningful insights from a large dataset related to a retail superstore's sales and profit. This project focuses on creating a robust database "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. - MarymAhmd/Superstore-Sales-Performance In this project i have used SQL & Excel to analyze a real-world database, extracted the most useful information from the dataset using Excel, used a structured query language to retrieve usef Superstore Data Analysis using SQL. AI-powered developer platform Available add-ons. It is a Global Superstore Dataset showing sales record detailing the shipping records of items categorized under Technology, Office Supplies and Furniture. The dataset subcategorized these This repository contains a data visualization project analyzing the SuperStore Sales Dataset. txt and test. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. ; Rating Analysis: Computing average ratings and comparing them based on different conditions. superstore_dataset. This repository contains a Sales and Profit PowerBI dashboard and it's Excel data. csv at master · ANANYAJENA/Datasets Sales Analysis of a Retail store using Power BI. In response to escalating market competition, the Superstore seeks strategic insights to optimize products, regions, categories, and customer segments. Getting Started. sql. Database implementation using Forward Engineer tool. This is an EDA project with a Superstore Dataset from GitHub - Superstore-Dataset/Sample - Superstore. 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. Find and fix vulnerabilities how to analysis dataset_superstore_simple. pbix' file in Power BI Desktop to explore the interactive visualizations and gain valuable business insights. Savio for educational purposes only, in the fields of AI Machine Learning using Python and R, Data Visualization using Tableau, Business Analytics, Big Data using Hadoop and Spark, and Advanced Excel among several others. Contribute to aryengoyal/Superstore-Sales-Data-Analysis development by creating an account on GitHub. 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. BI QUESTIONS. Navigation Menu Toggle navigation. The dataset was presented in the paper "A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels", which appeared at WACV 2019. GitHub community articles Repositories. In this dashboard we've monitored the Sales of a business by KPI's such as Payment Mode, State, Region Analysis using EDA and Regression. - GithubSafa/SuperStoreDataAnalysis You signed in with another tab or window. Combining new marketing strategies with word-of-mouth recommendations is become very You signed in with another tab or window. The primary objective was to clean, transform, and analyze the data to create an interactive dashboard that highlights key performance indicators and sales trends across different regions. Sign in Product Write better code with AI Code review. Top. Contribute to aayushvijay23/SuperStore-DataSet-Analysis development by creating an account on GitHub. I've analysed the data and gained valuable insights through it Write better code with AI Security. Sign in Product Pandas Superstore Analysis: A comprehensive repository using Pandas to analyze and visualize the Superstore dataset. In this case, we will perform EDA on the "SampleSuperstore" dataset to better The Superstore Analysis project aims to provide comprehensive insights into the performance, trends, and patterns within the sales data of a fictional superstore. - Sample-Superstore-Dataset-Analysis/Analysis of Super Store - DA. Available in csv, xlsx and sql format. Applied different Visualization techniques on the GitHub Gist: instantly share code, notes, and snippets. The project focuses on sales, profit, and customer metrics, with interactive insights provided through a dashboard. 💼 Here's a quick overview of what you'll find in the dashboard: The aim of this work is to analyze a dataset of purchases in an anonymous online store. csv as data source. -PowerBI 📊 Just Launched out of practice: Simple Power BI Dashboard 🚀. The dataset is in a CSV format with 51,290 observations and 24 features. we will identify and assess the features of our Superstore Dataset: We will process and clean our data with the help of Excel as the file is already a CSV file so a look through of our data with Excel can be ideal to: Contribute to RishabLal/Analysis_Of_Superstore_Dataset development by creating an account on GitHub. Welcome to the Global Superstore Sales Analysis GitHub repository! This project focuses on utilizing Power BI visualizations to analyze the sales data of Global Superstore, a store with branches worldwide. For deploying customer segmentation in e-commerce, data mining approaches like clustering and subgroup discovery will be used. The SuperStore Sales Analysis project is a comprehensive data analysis tool designed to provide insights into sales data from a fictional superstore. I used i dataset called SuperStore_data. You signed out in another tab or window. (Sorry about that, but we can’t show files that are this big right now ER-Diagram of the Data Model. Contribute to Natasha-Data/Datasets development by creating an account on GitHub. The Dataset contains details of a retail store like Order Date, Ship Date, Order Address, Sales, Profit, etc. Utilizing Power BI, this project delves into various aspects such as overall Analyzing and Visualizing the Superstore Dataset using Looker Studio. Find and fix vulnerabilities Analysis of Sample SuperStore Dataset. Blame. The data has been visualized using charts and bar plots to elevate the information in the data and present it to the stakeholders. xlsx onto my desktop. This tool generates a SQL script which creates the database with its tables, columns and constraints from its ERD, and runs this script to have the database ready in The Superstore Sales Dataset is a popular dataset used for learning and practicing data analysis, visualization, and machine learning techniques. EDA- To Explore Business Analytics¶ Objective: Perform ‘Exploratory Data Analysis’ on dataset ‘SampleSuperstore’ EDA is Exploratory and Explanatory Data Analysis. head() Lets check some Statistics for our data. This project uses data from Tableau Public on Customer transactions to compute RFM (Recency, Frequency, Monetary Value) and then segment customer order days through kmeans clustering. EU Superstore data was analyzed and visualized. Find and fix vulnerabilities Actions. The Superstore dataset consists of 21 columns and 99,944 rows, offering a comprehensive view of the company's operations. The analysis will consist of data cleaning, exploratory data analysis (EDA), a simple case of linear regression, a more complete study of multiple linear regression and finally a binary classification problem. df. Contribute to mrobleto/dataset-files development by creating an account on GitHub. This tool generates a SQL script which creates the database with its tables, columns and constraints from its ERD, and runs this script to have the database ready in Write better code with AI Security. Topics Trending Collections Enterprise Analyze sales data from a supermarket dataset to uncover insights into customer behavior, product performance, and operational efficiency. AI-powered developer platform This project’s data is open source, it is the Global Superstore dataset obtained from Kaggle. df Original dataset taken from Tableau public dataset website. Developed an interactive Power BI dashboard to analyze Super Store sales data across key metrics, This project demonstrates expertise in data visualization, enabling data-driven decision-making to enhance business strategy. Contribute to homeez/CustomerPerformance development by creating an account on GitHub. Additionally, I attempted to forecast sales for the next 15 days. Code. Write better code with AI Security. This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. Enterprise-grade security features GitHub Copilot. - GitHub - Wunmi-O/Superstore: A kaggle's sample superstore Host and manage packages Security Google PlayStore App dataset. csv at master · plotly/datasets csv analyzer for superstore dataset. Incorporated data analysis techniques, specializing in time series analysis, to deliver valuable insights, accurate sales forcasting, and interactive dashboard creation, driving business success. Key insights include sales trends, profit analysis, customer segmentation, and regional performance visualization. This project focuses on creating a robust database management system that facilitates efficient handling of various aspects of an online store, from product inventory to customer orders. Contribute to sandeep347/SuperStoreData development by creating an account on GitHub. This Google Play Store dataset from Kaggle, analysis using Python, NumPy , Pandas , and Matplotlib. Topics Trending Collections Enterprise Enterprise platform. Analysis. Contribute to johnreygoh/datasets development by creating an account on GitHub. Find and fix vulnerabilities Navigation Menu Toggle navigation. - datasets/store_data_association_rules. The Power BI dashboard provides actionable insights for improving business strategies. - R_ExploratoryDataAnalysis/Dataset Global Superstore. js"></script> This repository aims towards the task of the Project of the Internship, where we brainstorm the SuperStore Sales dataset. The dataset is in CSV format, The project involves the following key tasks: Data Cleaning and Transformation: Preparing the dataset for analysis by converting data types and filtering relevant information. txt in the folder dataset includes the paths to the images in the training, validation and test set respectively. This repository features the Superstore Sales Analysis project, demonstrating data cleaning and analysis using Python and SQL, along with interactive visualization in Power BI. Contribute to avrajit007/Tableau-Datasets development by creating an account on GitHub. csv at main · SohamB21/Analysis-Of-SuperStore-Dataset Superstore Sales Dataset 2015 – 2018. describe() Lets see if data cleaning is required check for duplicated rows in the dataset. Topics Trending Collections Pricing Superstore_Dataset. The analysis of the Superstore dataset includes the following: An analysis of the global superstores dataset. 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. Learn more. Contribute to mimansha98/Tableau_Dashboards development by creating an account on GitHub. About. The Superstore Analysis project aims to provide comprehensive insights into the performance, trends, and patterns within the sales data of a fictional superstore. How to use the dataset The files train. The aim of this work is to analyze a dataset of purchases in an anonymous online store. Categories and sub categories. Instant dev environments superstore_dataset. Analyzing and Visualizing the Superstore Dataset using Looker Studio. Resources Data Analysis Report. - GitHub-repository-on-Pandas-with-a-Superstore-dataset-/Sample - Superstore_Orders. The project includes data cleaning, transformation, and exploratory data analysis (EDA) using MySQL Welcome to the Global Superstore Sales Analysis GitHub repository! This project focuses on utilizing Power BI visualizations to analyze the sales data of Global Superstore, a store with branches worldwide. - GitHub - Jayant110/Superstore-Sales-SQL-Power-BI: This Github repository contains a US superstore dataset with customer, product, and revenue information. Datasets used in Plotly examples and documentation - datasets/diabetes. Most of the data sets used in projects I've worked on - nisargaRavikumar/DATASETS. Contribute to mwale1996/superstore_dataset development by creating an account on GitHub. (Sorry about that, but we can’t show files that are this big right now Welcome to the SuperStore Sales Dashboard project! As a fellow data enthusiast, I'm excited to share with you this comprehensive Power BI project that transformed raw data into actionable insights. Find and fix vulnerabilities it is the Global Superstore dataset obtained from Kaggle. Three datasets were provided by the company. This project offers a user-friendly interface for analyzing and visualizing sales trends, regional performance, and product categories. Utilizing Power BI, this project delves into various aspects such as overall Superstore Sales Dataset 2015 – 2018. csv dataset, it's time to dive a little bit deeper of what, both Python and Pandas capable of delivering. AI-powered developer platform Superstore Sales Analysis Using Power BI :This project involves analyzing Superstore sales data using Power BI. Superstore-Marketing-Campaign-Dataset Third mini project A superstore is planning for the year-end sale. set_index("Date", inplace=True) Lets see how our dataset looks now. Host and manage packages Security. Python数据分析入门与实战代码. EDUNET IBM SKILLSBUILD DATA ANALYSIS PROJECT. The SampleSuperstore dataset contains information about a fictional superstore's sales, profit, and other related attributes. Advanced Security. 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. Sales, profits, shipping modes were analyzed on country, state and regional bases. ; Price and Genre Insights: Analyzing how app prices and genres affect user ratings. OK, Got it. df2= df. Manage code changes About This repository features the Superstore Sales Analysis project, demonstrating data cleaning and analysis using Python and SQL, along with interactive visualization in Power BI. 20 lines (20 loc) · 478 Bytes. csv at master · SavioSal/datasets So now the dataset is very clean and ready to be exported to csv file with UTF-8 encoding. An EDA on SuperStore Sample dataset that is provided by Sparks Foundation as a part of my Data Science & Business Analysis internship - Youssif22/superstore-dataset-EDA You signed in with another tab or window. datascience powerbi tableau sample datasets. txt , val. Contribute to Ayush5696/SuperStore development by creating an account on GitHub. Contribute to bipulshahi/Dataset development by creating an account on GitHub. - Sweety-k/SuperStore. Contribute to allen-0007/csv-analyzer development by creating an account on GitHub. com . Global Super Store from Kaggle. I downloaded the Global Superstore Orders 2016. Once you have the dataset, the next step is to import it into our Python environment using the Pandas DataWarehouse of an online retail shop named "SuperStore" with a 4 years order records (2011-2014) - wicky00/OnlineRetailSSIS a collection of Dataset from various sources. The dataset contains details about the orders placed by various users, the week and hour of the day the order was placed, and a relative measure of time between orders. 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. The three categories all account for over 30% of sales You signed in with another tab or window. github. Nowadays, industries adopt data science to better understand their customer’s activity and differentiate their offerings from their competitor. Leveraging Python, Streamlit, Pandas, Plotly Express,Matplotlib. 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 usi Saved searches Use saved searches to filter your results more quickly This repository contains a comprehensive data analysis project on the Global Superstore dataset. Find and fix vulnerabilities Codespaces. Deleted the Datasets. csv. The dataset contains several attributes, including sales, profit, order date, ship date, and more. Sign in Product GitHub Copilot. Manage code changes Datasets used in Plotly examples and documentation - datasets/diabetes. Preview. Along with the the dataset there two tasks solved in this repository. csv at main · roy628182/GitHub-repository-on-Pandas-with-a A data analysis solution using Azure Data Lake Storage, Azure Data Factory, and Power BI to integrate, process, and visualize supermarket sales and revenue data for actionable insights. Contribute to himanshusoni93/DataSets- development by creating an account on GitHub. The data has 51290 rows, and 24 columns. Contribute to Anneybear/Data-Analysis-of-a-Global-Superstore development by creating an account on GitHub. Find and fix vulnerabilities Utilizing data analysis techniques , specifically focusing on time series analysis to provide valuable insights and accurate sales forecasts. In dataset analysis, you can view the best app 5-star rating app, most review app, or most downloa Personal Project. Contribute to kulture56/USA-Dataset-2019-2022-Data-Analysis-Report development by creating an account on GitHub. a collection of Dataset from various sources. In dataset analysis, you can view the best app 5-star rating app, most review app, or most downloa Sample-Superstore-dataset I mainly chose this data set to analyze how a store work under different situations and how they tackle profit or loss, while they are in profit how they got profit and how to increase it further, and if they are in loss how they tend to increase the sales and background works like how they analyze to make profit and You signed in with another tab or window. - Ashesh564/Superstore-Sales-Analysis 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. - ManasviKa The primary goal of this project is to analyze sales trends, customer segments, and product performance based on a historical dataset of store transactions. jrrk bswvo qivdsy fmdgx goah xntjar fhdwbwh xufsha eol lrw