Superstore dataset csv github. Dataset containing Sales & Profits of a Superstore.

Superstore dataset csv github. Feb 18, 2024 · Here’s the source link for the dataset that I have used for this project — superstore. Analyze sales data from a supermarket dataset to uncover insights into customer behavior, product performance, and operational efficiency. csv. csv," is loaded into a Pandas DataFrame, allowing us to work with the data efficiently. 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. Open the Tableau Workbook: Double-click on Superstore sales analysis. The three categories all account for over 30% of sales Original dataset taken from Tableau public dataset website. csv is in the same directory as the Tableau workbook. #import superstore dataset superstore_df=pd. yearly_sales. Used for validation. Contribute to mwale1996/superstore_dataset development by creating an account on GitHub. 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. The dataset was presented in the paper "A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels", which appeared at WACV 2019. I downloaded the Global Superstore Orders 2016. Along with the the dataset there two tasks solved in this repository. xlsx onto my desktop. The dataset includes order details, anonymized customer information, product specifics, and financial metrics. 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. This is a practice project which I did to polish up my Excel skills. 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. csv - Sales data grouped using MS frequency. This project offers a user-friendly interface for analyzing and visualizing sales trends, regional performance, and product categories. describe() Lets see if data cleaning is required check for duplicated rows in the dataset. For each, sample CSV files range from 100 to 2 millions records. Place the Dataset: Ensure that Superstore sales dataset. About. 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. Saved searches Use saved searches to filter your results more quickly Contribute to Faith0225/supermarket development by creating an account on GitHub. Sales and Performance Analysis Dashboard in Power BI - mechieguy/SuperStore-Sales-Dashboard You signed in with another tab or window. Contribute to mimansha98/Tableau_Dashboards development by creating an account on GitHub. Leveraging Python, Streamlit, Pandas, Plotly Express,Matplotlib. This Google Play Store dataset from Kaggle, analysis using Python, NumPy , Pandas , and Matplotlib. head() Lets check some Statistics for our data. Jun 12, 2024 · csv analyzer for superstore dataset. 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. copy() df. Datasets used in Plotly examples and documentation - datasets/diabetes. In this project I have analyzed the sales of the super store using Pyspark and databricks. Jul 24, 2023 · Applied different Visualization techniques on the dataset and used various libraries such as Plotly, etc. 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. 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. The Superstore Sales Dataset is a popular dataset used for learning and practicing data analysis, visualization, and machine learning techniques. You signed out in another tab or window. Personal Project. csv at master · Wunmi-O/Superstore This repository contains sample Comma Separated Value (CSV) files. twb to open the Tableau workbook. sql. update: SQL file of superstore has been improved with name new_superstore. csv at master · SavioSal/datasets The SuperStore Database Management Project (DBMD) is a comprehensive solution designed to streamline and optimize the operations of an e-commerce business. Explore the code and You signed in with another tab or window. Datasets are split in 3 categories: Customers, Users and Organizations. set_index("Date", inplace=True) Lets see how our dataset looks now. 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. Nowadays, industries adopt data science to better understand their customer’s activity and differentiate their offerings from their competitor. This GitHub repository houses a collection of Power BI visualizations designed to analyze sales data for Global Superstore. pbix' file in Power BI Desktop to explore the interactive visualizations and gain valuable business insights. test. The visualizations provide insights into sales patterns at various geogra Saved searches Use saved searches to filter your results more quickly This repository features the Superstore Sales Analysis project, demonstrating data cleaning and analysis using Python and SQL, along with interactive visualization in Power BI. Resources This project contains sql statements that includes the process of Data Warehousing and Data Mining - yannie28/Global-Superstore Contribute to Ayush5696/SuperStore development by creating an account on GitHub. csv - Sales data grouped by Order Date; daily_sales. How to use the dataset The files train. df This repository contains a Sales and Profit PowerBI dashboard and it's Excel data. The sample was taken from the legendary dataset "Sample Superstore", of a fictional Ecommerce company. csv - Sales data grouped using D frequency. Sep 25, 2021 · Save giaunguyenvan/45a5c95a0f67f0c170dddda6117dfe90 to your computer and use it in GitHub Desktop. Contribute to himanshusoni93/DataSets- development by creating an account on GitHub. superstore_dataset2011-2015. Superstore Sales Dataset 2015 – 2018. 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. The dataset is in a CSV format with 51,290 observations and 24 features. csv - Sales data grouped using YS frequency. Dataset: Analysis of Super Store - DA. . Contribute to larryt2003/Superstore-Sales-Dataset-2015-2018 development by creating an account on GitHub. Mar 30, 2022 · Import superstore dataset using pandas and pass the path to the dataset into read_csv. monthly_sales. Utilizing Power BI, this project delves into various aspects such as overall performance, category/sub-category analysis, sales trends, profitability, return analysis, regional Write better code with AI Security. read_csv(r'C The SuperStore Sales Analysis project is a comprehensive data analysis tool designed to provide insights into sales data from a fictional superstore. Explore trends, patterns, and key metrics to inform strate shrimp,almonds,avocado,vegetables mix,green grapes,whole weat flour,yams,cottage cheese,energy drink,tomato juice,low fat yogurt,green tea,honey,salad,mineral water Most of the data sets used in projects I've worked on - DATASETS/superstore. txt , val. csv at master · plotly/datasets You signed in with another tab or window. df. The data was sourced from Kaggle in CSV format. df2= df. Categories and sub categories. Refresh. Explore trends, patterns, and key metrics to inform strategic business decisions and drive growth. Contribute to azhar2ds/DataSets development by creating an account on GitHub. CSV is a generic flat file format used to store structured data. Superstore Sales and profit. In this dashboard we've monitored the Sales of a business by KPI's such as Payment Mode, State, Region, Product Category etc. - sersun/supermarket-sales-analysis This project focuses on analyzing and visualizing the Superstore Sales Data using Power BI to derive actionable business insights. Available in csv, xlsx and sql format. Find and fix vulnerabilities Sep 4, 2024 · The repository contains dataset and source file of a super store which has 3 tables namely Orders, Users, Returns. Those CSV files can be used for 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 aim of this work is to analyze a dataset of purchases in an anonymous online store. Tableau will automatically connect to the dataset and load the visualizations. In dataset analysis, you can view the best app 5-star rating app, most review app, or most downloa 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 improvement in sales. Identified and removed a duplicate transaction record for the customer Laurel Beltran using the "remove duplicate" function. csv - Monthly total sales data from January 2014 - December 2014. Deleted the 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. Dataset containing Sales & Profits of a Superstore. We read every piece of feedback, and take your input very seriously. For deploying customer segmentation in e-commerce, data mining approaches like clustering and subgroup discovery will be used. This assignment is based on the Superstore Dataset Provided in "csv" format. The Superstore Analysis project aims to provide comprehensive insights into the performance, trends, and patterns within the sales data of a fictional superstore. You signed in with another tab or window. #make a copy of dataset, in case something goes wrong #Copying is not recommended for large datasets. txt in the folder dataset includes the paths to the images in the training, validation and test set respectively. Reload to refresh your session. sample dataset. SuperStoreOrders Dataset. This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. Exploring the Dataset: We perform initial data exploration to understand the structure and contents of the dataset. csv at master · nisargaRavikumar/DATASETS Contribute to maiaufrrj/superstore_data development by creating an account on GitHub. Once you have the dataset, the next step is to import it into our Python environment using the Pandas This project’s data is open source, it is the Global Superstore dataset obtained from Kaggle. The description of data is as follows: "Global Superstore is a customer-centric dataset, which has the data of all the Loading the Dataset: The dataset, "SampleSuperstore. The data can be accessed via this link. 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. - Superstore/SampleSuperstore. You switched accounts on another tab or window. Clone the repository and open the '. The sample was taken from the legendary dataset “Sample Superstore”, of a fictional Ecommerce company. The data has 51290 rows, and 24 columns. Contribute to Anneybear/Data-Analysis-of-a-Global-Superstore development by creating an account on GitHub. Contribute to allen-0007/csv-analyzer development by creating an account on GitHub. superstore_dataset. - datasets/store_data_association_rules. 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. Saved searches Use saved searches to filter your results more quickly You signed in with another tab or window. , 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. initial_sales. txt and test. This is a detailed analysis on customer behavior analysis. Contribute to Faith0225/supermarket development by creating an Contribute to Natasha-Data/Datasets development by creating an account on GitHub. These datasets and files are used by Prof. 超市数据分析. xipouj cmyjf dfxnkyc ackf ryqxfcb txrdcr oywdsv loskq woskb vywsbxwf