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Superstore dataset csv github. 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 Superstore Analysis project aims to provide comprehensive insights into the performance, trends, and patterns within the sales data of a fictional superstore. update: SQL file of superstore has been improved with name new_superstore. Exploring the Dataset: We perform initial data exploration to understand the structure and contents of the dataset. csv - Sales data grouped using D frequency. 超市数据分析. xlsx onto my desktop. In this dashboard we've monitored the Sales of a business by KPI's such as Payment Mode, State, Region, Product Category etc. Nowadays, industries adopt data science to better understand their customer’s activity and differentiate their offerings from their competitor. Dataset containing Sales & Profits of a Superstore. - datasets/store_data_association_rules. This assignment is based on the Superstore Dataset Provided in "csv" format. txt , val. yearly_sales. Contribute to allen-0007/csv-analyzer development by creating an account on GitHub. , 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. 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. Personal Project. This project offers a user-friendly interface for analyzing and visualizing sales trends, regional performance, and product categories. df. monthly_sales. txt in the folder dataset includes the paths to the images in the training, validation and test set respectively. csv at master · plotly/datasets You signed in with another tab or window. Reload to refresh your session. 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. 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. copy() df. Explore trends, patterns, and key metrics to inform strategic business decisions and drive growth. csv," is loaded into a Pandas DataFrame, allowing us to work with the data efficiently. The data has 51290 rows, and 24 columns. superstore_dataset. Explore the code and You signed in with another tab or window. Jun 12, 2024 · csv analyzer for superstore dataset. You switched accounts on another tab or window. 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. test. For deploying customer segmentation in e-commerce, data mining approaches like clustering and subgroup discovery will be used. Categories and sub categories. 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. 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. This Google Play Store dataset from Kaggle, analysis using Python, NumPy , Pandas , and Matplotlib. The three categories all account for over 30% of sales Original dataset taken from Tableau public dataset website. 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. Contribute to mwale1996/superstore_dataset development by creating an account on GitHub. This is a detailed analysis on customer behavior analysis. Contribute to Anneybear/Data-Analysis-of-a-Global-Superstore development by creating an account on GitHub. 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. - Superstore/SampleSuperstore. Superstore Sales and profit. csv at master · nisargaRavikumar/DATASETS Contribute to maiaufrrj/superstore_data development by creating an account on GitHub. Used for validation. 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 was presented in the paper "A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels", which appeared at WACV 2019. 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. Analyze sales data from a supermarket dataset to uncover insights into customer behavior, product performance, and operational efficiency. - sersun/supermarket-sales-analysis This project focuses on analyzing and visualizing the Superstore Sales Data using Power BI to derive actionable business insights. About. Datasets are split in 3 categories: Customers, Users and Organizations. Datasets used in Plotly examples and documentation - datasets/diabetes. 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. 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. The Superstore Sales Dataset is a popular dataset used for learning and practicing data analysis, visualization, and machine learning techniques. 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. 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. Identified and removed a duplicate transaction record for the customer Laurel Beltran using the "remove duplicate" function. Along with the the dataset there two tasks solved in this repository. superstore_dataset2011-2015. Saved searches Use saved searches to filter your results more quickly You signed in with another tab or window. #import superstore dataset superstore_df=pd. This is a practice project which I did to polish up my Excel skills. initial_sales. Feb 18, 2024 · Here’s the source link for the dataset that I have used for this project — superstore. How to use the dataset The files train. csv - Monthly total sales data from January 2014 - December 2014. Available in csv, xlsx and sql format. SuperStoreOrders Dataset. Mar 30, 2022 · Import superstore dataset using pandas and pass the path to the dataset into read_csv. 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. Contribute to himanshusoni93/DataSets- development by creating an account on GitHub. twb to open the Tableau workbook. pbix' file in Power BI Desktop to explore the interactive visualizations and gain valuable business insights. set_index("Date", inplace=True) Lets see how our dataset looks now. Tableau will automatically connect to the dataset and load the visualizations. 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. Saved searches Use saved searches to filter your results more quickly Contribute to Faith0225/supermarket development by creating an account on GitHub. These datasets and files are used by Prof. Dataset: Analysis of Super Store - DA. #make a copy of dataset, in case something goes wrong #Copying is not recommended for large datasets. 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. csv at master · Wunmi-O/Superstore This repository contains sample Comma Separated Value (CSV) files. The data can be accessed via this link. 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. The dataset includes order details, anonymized customer information, product specifics, and financial metrics. For each, sample CSV files range from 100 to 2 millions records. You signed in with another tab or window. I downloaded the Global Superstore Orders 2016. head() Lets check some Statistics for our data. This GitHub repository houses a collection of Power BI visualizations designed to analyze sales data for Global Superstore. This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. sql. txt and test. Open the Tableau Workbook: Double-click on Superstore sales analysis. This dataset pertains to a superstore in the US, providing information on customer transactions from 2014 to 2017. The dataset is in a CSV format with 51,290 observations and 24 features. . Sales and Performance Analysis Dashboard in Power BI - mechieguy/SuperStore-Sales-Dashboard You signed in with another tab or window. csv is in the same directory as the Tableau workbook. The sample was taken from the legendary dataset “Sample Superstore”, of a fictional Ecommerce company. csv - Sales data grouped by Order Date; daily_sales. The sample was taken from the legendary dataset "Sample Superstore", of a fictional Ecommerce company. Clone the repository and open the '. 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. csv - Sales data grouped using MS frequency. Leveraging Python, Streamlit, Pandas, Plotly Express,Matplotlib. csv. You signed out in another tab or window. Contribute to Faith0225/supermarket development by creating an Contribute to Natasha-Data/Datasets development by creating an account on GitHub. Superstore Sales Dataset 2015 – 2018. Contribute to mimansha98/Tableau_Dashboards development by creating an account on GitHub. sample 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. CSV is a generic flat file format used to store structured data. We read every piece of feedback, and take your input very seriously. The aim of this work is to analyze a dataset of purchases in an anonymous online store. Jul 24, 2023 · Applied different Visualization techniques on the dataset and used various libraries such as Plotly, etc. csv - Sales data grouped using YS frequency. Contribute to larryt2003/Superstore-Sales-Dataset-2015-2018 development by creating an account on GitHub. Those CSV files can be used for You signed in with another tab or window. df2= df. 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. In this project I have analyzed the sales of the super store using Pyspark and databricks. Sep 25, 2021 · Save giaunguyenvan/45a5c95a0f67f0c170dddda6117dfe90 to your computer and use it in GitHub Desktop. describe() Lets see if data cleaning is required check for duplicated rows in the dataset. Refresh. df This repository contains a Sales and Profit PowerBI dashboard and it's Excel data. The data was sourced from Kaggle in CSV format. Place the Dataset: Ensure that Superstore sales dataset. Contribute to azhar2ds/DataSets development by creating an account on GitHub. 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. vcsrrvd kczpac kfbwpd rlvxl hotpr rdut rdomcg fftixu wkqw mawjhug