Superstore dataset csv Contribute to kaikeba/DAG-PythonBook development by creating an account on GitHub. Contribute to shekhs/SampleSuperstore-EDA development by creating an account on GitHub. xls Most of the data sets used in projects I've worked on - DATASETS/superstore. txt) or read book online for free. Of the total 56,590 DAs in Canada, 277 DAs were not included due to errors that arose when calculating their network buffers. The most popular male and female names in each state for each year from 1910-2012. Superstores industry comprises of companies that operateby having large size spaces which store and supply large amounts of goods. BI QUESTIONS. frame': 9994 These are only Excel files @Dianne Venable (Member) , you could just as easily update the data in them to suit your needs. - GitHub - Wunmi-O/Superstore: A kaggle's sample superstore The 81 fine-grained classes and their coarse-grained classes can be found in classes. Sales Seasonality. ? The Global Superstore 2016 files are available for download under the training videos themselves, either as a data set or a 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, The table contains data on a sample superstore dataset with 9994 rows and 14 columns, including information on ship mode, segment, country, city, state, postal code, region, category, sub The SuperStore dataset comprises a comprehensive sales record from a superstore, containing 9,994 entries across 19 distinct fields. đź Here's a quick overview of what you'll find in the dashboard: You signed in with another tab or window. Analyze sales data from a supermarket dataset to uncover insights into customer behavior, product performance, and operational efficiency. File metadata and controls. Contribute to kulture56/USA-Dataset-2019-2022-Data-Analysis-Report development by creating an account on GitHub. ipynb at master · leonism/sample-superstore Historical record of sales data in 3 different supermarkets. Utilizing Power BI, this project delves into various aspects such as overall Explore and run machine learning code with Kaggle Notebooks | Using data from Superstore Sales Dataset. Raw. This projectâs data is open source, it is the Global Superstore dataset obtained from Kaggle. pbix' file in Power BI Desktop to explore the interactive visualizations and gain valuable business insights. head() df. An interactive dashboard was developed to compare product sales & profits for segments in different European Countries. Sign in Product GitHub Copilot. Hereâs the source link for the dataset that I have used for this project â superstore. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. For this purpose, we will use the superstore Dataset that we will blend with the polygonic dataset (we will make it polygonic !). Write better code with AI Security. Explore the code and Global stores has a presence in major markets with profit margins mainly ranging between 10 to 14%. Crawl Feeds team extracted more than 11K+ groceries information from Aldi. The first 5 rows and 7 columns of our dataset. Check Datatypes of columns. Dataset (xls) Dataset (csv) Top Baby Names in the U. csv is now cleaned and ready for data analysis. The document analyzes a superstore dataset containing sales data from 2015 to 2018 to understand shopping patterns and identify profitable products and regions. Thank you very much Adam. Once you have the dataset, the next step is to import it into our Python environment using the Pandas Do you know what is the license of Superstore dataset? Who is the owner, if it allowed to use it in research etc. xlxs; Global Super Store Dataset; Global Super Store Dataset 2016; Map sample Data. Start mastering Power BI today. Something went wrong and this page crashed! Analyzing and Visualizing the Superstore Dataset using Looker Studio. It is free to use as an Excel file that you can download and use. 1; The learning curve was The table contains data on a sample superstore dataset with 9994 rows and 14 columns, including information on ship mode, segment, country, city, state, postal code, region, category, sub-category, sales, quantity, discount, and profit, which can be used to analyze and gain insights into various aspects of the superstore's operations and performance. The result file is attached. 4: Dataset completeness. Clone the repository and 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 You signed in with another tab or window. In this section we learn how to work with Retail sales dataset for analysis and forecasting. xlsx) Sheet 1: Orders Sheet 2: People; Global Superstore Returns 2016 (. The Dataset contains details of a retail store like Order Date, Ship Date, Order Address, Sales, Profit, etc. The table contains data on a sample superstore dataset with 9994 rows and 14 columns, including information on ship mode, segment, country, city, state, postal code, region, category, sub-category, sales, quantity, discount, and profit, which can be used to analyze and gain insights into various aspects of the superstore's operations and performance. Readme Activity. EDA and ML with Superstore Dataset off Kaggle This notebook illustrates a simple end-to-end analytics and ML solution. 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. - Analysis-Of-SuperStore-Dataset/Sample - Superstore. But the provided and downloadable Superstore Returns file only generates a red exclamation point A Time Series Analysis and Forecasting, using ARIMA and Prophet models, on a superstore dataset. Reload to refresh your session. Contribute to larryt2003/Superstore-Sales-Dataset-2015-2018 development by creating an account on GitHub. Since the data is in a text(CSV) format I was able to easily import it into Excel, then I cleaned From where to Download "Global Superstore 2016. twb to open the Tableau workbook. Groceries dataset from groceries. EU Superstore data was analyzed and visualized. csv) Sheet 1: Global Superstore Returns 2016; The Orders sheet contains sales data where each record (Row ID) re presents a single transaction: Superstore Sales: Contains information about products, sales, and profits that you can use to identify key areas of improvement within this fictitious company. Stars. Let's try to create a custom class in Python by This project contains sql statements that includes the process of Data Warehousing and Data Mining - yannie28/Global-Superstore View the statistical description of the Dataframe. In this case, we will perform EDA on the "SampleSuperstore" dataset to better understand the data related to a fictional superstore's sales and profits. But, if it is of interest, in October last year, I extracted all the 2022 versions for the different locales and published them to Datawonders. csv at main · SohamB21/Analysis-Of-SuperStore-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. The Super Store dataset contains data on order details of customers for orders of a superstore in the US. SuperStoreUS-2015. 3 MB. read_csv("supermarket_sales. A list of tasks will be answered followed by the query The superstore dataset was downloaded from kaggle using phyton, furthermore, library for deep analysis of this project used pandas, matplotlib and seaborn. Something went wrong and this page crashed!. Onto sharing our observations, below you will find a picture of the interactive dashboard that represents the main KPIs and information on the collected Superstore data which was realized and demonstrated with Power BI. Okay, letâs perform an exploratory data analysis with our input on the superstore dataset. Flexible Data Ingestion. The âSample-Superstoreâ file (excel) needs to be linked with the âGlobal Superstore Returnsâ file (a text file). Learn more. x versions. And then today, published the 2022 European version with a role field, that links to European flags also "Superstore Sales Analysis" conducts comprehensive data exploration and hypothesis testing to derive actionable insights for optimizing sales strategies and increasing profitability in a 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. xls Sample - Superstore for Tableau 8. It is a Global Superstore Dataset showing sales record detailing the shipping records of items categorized under Technology, Office Supplies and Furniture. Although Iâd tried out datasets across domains, sales data is one of my favorites. Sales, profits, shipping modes were analyzed on country, state and regional bases. Dataset containing Sales & Profits of a Superstore. The purpose of this writing is to use This assignment is based on the Superstore Dataset Provided in "csv" format. It includes 15 Dashboards story telling about different KPIs. . This project uses the Global Superstore dataset, which is open source and available on Kaggle. The errors In the âGetting Startedâ tutorial. Long-Term Explore and run machine learning code with Kaggle Notebooks | Using data from Superstore Sales Dataset. Something went wrong and this page crashed! The sample was taken from the legendary dataset "Sample Superstore", of a fictional Ecommerce company. It also has a Returns sheet Thanks to Kaggle we are provided with 6 csv files (train, test, store, oil, holidays_events, transactions) containing data about products, stores, promotions, sales, oil prices, holidays and more You signed in with another tab or window. The âSuperstore Salesâ dataset is a comprehensive and versatile collection of data that provides valuable insights into sales, customer behavior, and product performance. csv in the folder dataset. OK, Got it. Upvote Upvoted Remove Upvote Reply. 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 aim of this work is to analyze a dataset of purchases in an anonymous online store. - Nrj27/Sample-Superstore-Dataset USA Online Retail Store Consumer and product Analytics on Global Super Store Data. Something went wrong and this page Explore and download sample datasets hand-picked by Maven instructors. SQL queries are utilized to extract relevant information and derive insights from the dataset. csv") str(df) ## 'data. The contributors recommend using algorithms like Apriori Algorithm to analyze the Market Letâs first build the dataset. sql. com . Source: Social Security Administration: 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. Here in this repository I have uploaded my first tableau project which is on the Traders dataset. For that I will be using the Large Walmart sales datasets kept in Comma Separated Value (CSV) format are among the tools and methods used for this endeavour. Available data format CSV. columns. xlxs; Time Series sample data. Report Explore and run machine learning code with Kaggle Notebooks | Using data from Superstore Dataset. Superstore Sales Dataset 2015 â 2018. Watchers. Understanding the logic : SuperStore Retail Analysis. Dataset will update based on request. 1. Discount by Product Category & Region. Explore trends, patterns, and key metrics to inform strate For each dataset, several CSV sizes are available, from 100 to 2 million records. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. It involves the exploration, visualization, and understanding of the dataset to gain insights, identify patterns, and detect anomalies. of Do you know what is the license of Superstore dataset? Who is the owner, if it allowed to use it in research etc. The next repository will be on the story telling using Tableau. The data can be accessed via this link. superstore_dataset2011-2015. Load the Dataset. csv at main · anwarraif/R_ExploratoryDataAnalysis The Superstore Analysis project aims to provide comprehensive insights into the performance, trends, and patterns within the sales data of a fictional superstore. Something went wrong and this page crashed! In this article, I made use of a four-year Superstore sales dataset that I obtained from Kaggle. Rows have an index value which is incremental and starts at 1 for the first data 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. Explore and run machine learning code with Kaggle Notebooks | Using data from Superstore Dataset. The data has been Data Preparation: Preprocessed and cleaned the Sample - EU Superstore dataset to handle missing values, outliers, and data inconsistencies. The csv (returns) and xlsx (orders) files Sample - Superstore for Tableau 9. PDF | this Article is analysis form superstore dataset from tableau, i just do descriptive from this dataset suggestion was needed for future article xoxo | Find, read and cite all the research Get the dataset here. docx","path Kaggle is the worldâs largest data science community with powerful tools and resources to help you achieve your data science goals. csv file there Sample customer data for analysis of a targeted Membership Offer Preview the 17 duplicated rows. Download and explore these datasets at your own pace. - EU-Superstore/Sample - EU Superstore. This dataset pertains to a superstore in the US, providing information on customer transactions from 2014 to 2017. ? Regards, Michal. An index column is set on each file. xlsx" data source file to work on tableau desktop ? 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. Data points: The Dataset used was found on Kaggle. You can access the dataset here. Pythonć°ćŽĺćĺ Ľé¨ä¸ĺŽć䝣ç . Step 5: Convert the pre Sales and Performance Analysis Dashboard in Power BI - mechieguy/SuperStore-Sales-Dashboard Unlock the full potential of your large-scale data with Gigasheet's self-service analytics, offering a real-time, spreadsheet-like interface for enterprise databases, warehouses, and lakes. Once you have the dataset, the next step is to import it into our Python environment using the Pandas You signed in with another tab or window. Load the file CSV from Google Drive. Superstore_cleaned_dataset. Something went wrong and this page Home » Sample - Superstore Sales (Excel). - MmaAdeola/Superstore-sales-analysis Visualizing Trader stores dataset using Tableau. Code. Tableau Community (Tableau) 9 years ago. You signed in with another tab or window. AmazingMartEU2Geo. The first line contains the CSV headers. Resources. 0 stars. Blame. Something went wrong and this page You signed in with another tab or window. pdf), Text File (. English (US) Deutsch; English (UK) Superstore Dataset. csv") Take a glimpse of the dataset. This can be used to connect to Personal Project. csv file? Expand Post. python data-science machine-learning anaconda numpy excel office pandas data-visualization data-analysis Historical sales data from 45 stores. Kaggle is the worldâs largest data science community with powerful tools and resources to help you achieve your data science goals. 18 data points. Aldi is supermarket chain stores operating over 10,000 stores. # Drop the duplicated rows superstore. Open the Tableau Workbook: Double-click on Superstore sales analysis. An analysis of the global superstores dataset. The dataset was used in a Kaggle in 2014 competition to help this retail store forecast sales of its stores[1]. The dataset is in a CSV format with 51,290 observations and 24 features. Tableau will automatically connect to Could you please to share Global Superstore . Along with the the dataset there two tasks solved in this repository. csv at master · nisargaRavikumar/DATASETS You signed in with another tab or window. In this dashboard we've monitored the Sales of a business by KPI's such as Payment Mode, State, Region {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":"README. df. Data Exploration: Conducted exploratory data analysis (EDA) using Tableau to uncover patterns, trends, and correlations in the data, leveraging interactive visualizations and dashboards. - SuperStore-Sales-Data/SuperStore_Sales_Dataset. Our training dataset is a synthesis of the csv data sources provided for the Kaggle Store Sales Forecasting competition. Apache Spark uses Hadoop Distributed File Systems (HDFS) with a The Global Superstore dataset consists of one Excel workbook and one Excel CSV file: Global Superstore Orders 2016 (. You switched accounts on another tab or window. 10. Database implementation using Forward Engineer tool. The document appears to be an order data table containing 98 rows with information about customer orders Original dataset taken from Tableau public dataset website. Global Super Store from Kaggle. Navigation Menu Toggle navigation. The data was sourced from Kaggle in CSV format. This is my attempt to visualize the Sample Super Store Dataset by Tableau. Dataset for the Global Superstore. View raw (Sorry about that, but we canât show files that are this big If you notice form the above code, it's implying that we need to put our superstore. by PowerBIDocs; 1 Comment; Power BI; Download Power Bi Excel Sample Data for practice Sample superstore dataset Exploration. Word Cloud 12,000 Products dataset for fashion ecommerce . Grocery Market Basket Analysis. The data comes from Kaggle's superstore dataset. Last extracted on 17 jun 2022 ---Site compleity: Difficult. This dataset gives insights on online orders of a superstore in US. Historical sales data from 45 stores. 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 This notebook is a processed version of the Global SuperStore dataset. Dataset containing Sales & Profits of a Superstore. - R_ExploratoryDataAnalysis/Dataset Global Superstore. Source: This report provides an exploratory data analysis (EDA) of the Superstore sales dataset, which includes sales data for a variety of products over a period of four years (from 2018 to 2021). Contribute to Anneybear/Data-Analysis-of-a-Global-Superstore development by creating an account on GitHub. Skip to content. The classes corresponding label (an integer) is also included in addition to the paths to their iconic image and the product CanFED Data file - 3-km buffer : CSV . xls), PDF File (. The dataset is in CSV format, comprising 51,290 observations and 24 features. S. This dataset offers a rich resource for in-depth analysis. Superstore Dataset - Free ebook download as Excel Spreadsheet (. The âSuperstore Sales & Profit Analysisâ project aims to uncover valuable insights and trends within the Superstore Dataset obtained from Kaggle. csv. You signed out in another tab or window. Forks. csv dataset on a directory called data. 2 forks. - Wunmi-O/Superstore Kaggle is the worldâs largest data science community with powerful tools and resources to help you achieve your data science goals. So once that you download the dataset, create a folder named data and put your superstore. Something went wrong and this page crashed! Explore and run machine learning code with Kaggle Notebooks | Using data from Superstore Dataset. Description contains the count of features, mean of them, Standard deviation, minimum and maximum values in that particular attribute, 25%, 50%, 75% of the values in Hereâs the source link for the dataset that I have used for this project â superstore. Step 2: You are required to make a selection under the Connect pane. Something went wrong and this page Walmart Store Sales Prediction - Regression Problem. Place the Dataset: Ensure that Superstore sales dataset. 1 watching. 12,000 Products dataset for fashion ecommerce . A dataset containing nearly 39,000 rows of grocery purchase orders. 7; Pandas 1. Superstore Sales Analysis: Exploring Orders, Customers, and Profits. csv at master · ANANYAJENA/Datasets Explore and run machine learning code with Kaggle Notebooks | Using data from Superstore Sales Dataset. Visualizations show that the Western region had the 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 The package also includes the following datasets, from previous release: us_total - The US annual natural gas consumption by state-level between 1997 and 2019, and aggregate level between 1949 and 2019; us_monthly - The monthly demand for natural gas in the US between 2001 and 2020; EDA is Exploratory and Explanatory Data Analysis. ER-Diagram of the Data Model. There are 9994 rows of data in the Orders sheet. Download Open Datasets on 1000s of Projects + Share Projects on One Platform. csv at main Kaggle is the worldâs largest data science community with powerful tools and resources to help you achieve your data science goals. About Dataset. Kaggle uses cookies from Google to deliver and enhance the quality of its This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - leonism/sample-superstore 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. Expand Post. đ Just Launched out of practice: Simple Power BI Dashboard đ. Some improvement like data type and value of the column The aim of this work is to analyze a dataset of purchases in an anonymous online store. Available in csv, xlsx and sql format. csv is in the same directory as the Tableau workbook. This notebook is a processed version of the Global SuperStore dataset. Top. The Excel dataset is cleaned and converted to a CSV file, which is then imported into a SQL database. It simulates sales data from a fictional superstore and typically includes various Letâs first build the dataset. The This repository contains a Sales and Profit PowerBI dashboard and it's Excel data. The dataset includes order details, anonymized customer information, product specifics, and Now that we've come a long way of exploring our superstore. Posted on December 20, 2020 by R Blogs in R bloggers | 0 Comments [This article was first published on R Blogs, Reading dataset df <- read. csv("SampleSuperstore. 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 Superstore Sales Dataset is a popular dataset used for learning and practicing data analysis, visualization, and machine learning techniques. We removed all the data from it that is You signed in with another tab or window. read_csv A Tableau Project. df = pd. Identified and removed a duplicate transaction record for the customer Laurel Beltran using the So now the dataset is very clean and ready to be exported to csv file with UTF-8 encoding. Upvote Upvoted Remove Upvote Reply 1 upvote. Power BI â Excel Sample Data Set for practice. Power BI is used as the visualization tool to Kaggle is the worldâs largest data science community with powerful tools and resources to help you achieve your data science goals. 2. Published: May 26, 2017 Updated: Apr 22, 2023. Empower teams to securely analyze, manage, and visualize massive datasetsâno SQL expertise, steep learning curves, or extra infrastructure required. This includes the state, region, order date, shipping date, product ordered etc. csv dataset, it's time to dive a little bit deeper of what, both Python and Pandas capable of delivering. The Superstore Sales dataset is a public sample dataset provided by Tableau. xls. Get free sample datasets to practice Power BI. Time series Global stores has 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. We removed all the data from it that is not required and added the « Link » column in the superstore data table. Practice applying your data analysis and visualization skills to real-world data, from flight delays and movie ratings to shark attacks and UFO sightings. This tool generates a SQL script Datasets that I used during data analysis and machine learning - Datasets/Sample-Superstore. We will then run the drop_duplicates() function to drop the duplicated rows. This project You signed in with another tab or window. EMEA market has an uncharacteristic low profits and lower profit margin than the rest of the markets. xls Sample â Superstore Sales (Excel). xls at master · ARAPIL/EU-Superstore Global Super Store Dataset. Clone the repository and open the '. of the dataset. dtypes. The dataset subcategorized these Data analysis of SuperStore sales using time series techniques for forecasting and dashboard creation. The implementation of the ER-Diagram (Entity Relationship Diagram) of the database on MySQL Workbench. (Sorry about that, but we canât show files that are this big right now You signed in with another tab or window. Find and fix vulnerabilities Actions 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 Ayush5696/SuperStore development by creating an account on GitHub. 0. SuperStoreOrders Dataset. This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - sample-superstore/02- Data Cleaning - SampleSuperStore. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to Introduction: People who are into data analytics deal with disparate datasets from various domains every day. This Notebook is running on top of the following stacks : Python 3. Step 1: You can start by opening up a new instance of Tableau or toggling the start page by clicking on the Tableau icon. This analysis was conducted as a task assigned by Vikot Solutions limited. 4; Matplotlib 3. md","path":"README. drop_duplicates(inplace = True) # Find the no. update: SQL file of superstore has been improved with name new_superstore. data = pd. I greatly appreciate your Kaggle is the worldâs largest data science community with powerful tools and resources to help you achieve your data science goals. I can now get started learning Tableau. Top 20 Profitable Customers. md","contentType":"file"},{"name":"SQL ASSIGNMENT1. satq teaaeydk qkzal yvapwfhwi kme yjdksn axrl ehmz iiuv aqfau