Superstore dataset kaggle github. You signed out in another tab or window.
Superstore dataset kaggle github Dataset containing Sales & Profit of a Superstore. Dataset: The Superstore Sales Dataset (available on Kaggle) (https:// This achievement uses tableau in making initial analysis for the Global Superstore Project to get insights into how profits can be maximised, and how marketing can be executed. These apps have come to play a huge role in the way we live our lives today. Purpose: To research and clean a retail sales data set to identify trends in sales, customer behavior and product performance. txt , val. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. It provides a comprehensive analysis of sales, profit, and order metrics across various categories, regions, and time periods. head() Lets check some Statistics for our My drive to know which products, regions, categories and customer segments a company should target or avoid, I search and selected an appropriate dataset on kaggle which will match a standard superstore requirement. Find processed dataset from here. Something went wrong and this page crashed! If the issue persists, it's likely a problem on our side. In my role as a Data Analyst for Global SuperStore, a prominent multinational online retailer serving customers worldwide, I was tasked with creating a Sales Dashboard in Excel. Store sales are influenced by many factors, including promotions, competition, school and state holidays, seasonality, and locality. csv This dataset includes data about the items purchased within each order. We could not confirm the units of the sales data. It consists of a list Google Play Store apps with their ratings, number of downloads, free/paid apps, version support, category etc. Created time series model using SAS Enterprise Miner to forecasting sales. info() - It has 9800 entries and it shows that Postal Code has 11 missing values. - GitHub - Wunmi-O/Superstore: A kaggle's sample superstore In pursue of knowledge and understanding of which products, regions, categories and customer segments a company should target or avoid, I search and selected an appropriate dataset on kaggle which will match a standard superstore requirement. You'll find graphical, statistical, and machine learning analysis in Python, along with a presentation made for the course. kaggle. set_index("Date", inplace=True) Lets see how our dataset looks now. The analysis will consist of data cleaning, exploratory data analysis (EDA), a simple case of linear Practice Your Data Analysis Skills as a Superstore Data Analyst. 2 million App Data) and 21 attributes - GitHub - gauthamp10/apple-appstore-apps: Apple AppStore Apps dataset. Objectives This project seeks to give a better understanding of Global Superstore's global market performance wrt sales, profit, quantities, countries/regions, product categories. Automate any workflow Packages. Id - an Id that represents a (Store, Date) duple within the test set The adopted strategy to solve this challenge was: Step 01. The sample was taken from the legendary dataset "Sample Superstore", of a fictional Ecommerce company. We selected a dataset comprised of superstore sales from Kaggle (full reference below). It is a Global Superstore Dataset showing sales record detailing the shipping records of items categorized under Technology, Office Supplies and Furniture. 85 million different apps are available for users to download. Superstores industry comprises of companies that operateby having large size spaces which store and supply large amounts of goods. Data Filtering: Filter rows and select columns that do Welcome to this repository for the build of a financial analysis dashboard relating to the well-known Sample SuperStore dataset! The full project lifecycle and outcome insights are detailed further in the project overview document. Contribute to kaikeba/DAG-PythonBook development by creating an account on GitHub. AI-powered developer platform Available add-ons Most of the fields are self-explanatory. csv and train. In dataset analysis, you can view the best app 5-star rating app, most review app, or most download app, etc. Find and fix vulnerabilities In this analysis, we delve into a comprehensive exploration of a supermarket sales dataset obtained from Kaggle. stores. The main task was to make predictions for future sales based on time-series analysis, which is found in Part 2. The objective of this dashboard is to provide the organization with a visual representation of real-time sales data, ultimately enhancing productivity and decision-making capabilities. In I've created a powerful Power BI dashboard using the Superstore dataset, and I'm thrilled with the insights it provides. Today, 1. Analysis about data of a superstore to make business decisions - lucalevi/superstore-dataset In this Superstore Sales Data Analysis project, an exploratory data analysis was performed on the Superstore Sales Data available on Kaggle. I have used seaborn for the visualization. - Superstore/SampleSuperstore. This report analyzes various aspects of the dataset to extract meaningful insights. The dataset contains a wealth of information regarding sales transactions, customer demographics, product lines, and Perform EDA (Data Analysis,Data Visualization, Data Cleaning) to understand the data and to clean the dataset for further process Perform data preprocessing Build pipeline to train and test the ML Regression model Saved searches Use saved searches to filter your results more quickly This is the Google Play Store Apps Dataset. Our Objective is You signed in with another tab or window. df2= df. For learning purposes. This is superstore sales data so im going to perfrom sales analysis. Discover key insights through interactive visualizations and DAX-powered dashboards. The following are descriptions for those that aren't. Contribute to IamXiaoYao/Superstore-Sales_Linear-Regression development by creating an account on GitHub. Step 02. (1. Dashboard : Apple AppStore Apps dataset. A code The dataset for this project is provided by Walmart on Kaggle and contains 4 files. The dataset has information of 100k orders from 2016 to 2018 made at multiple marketplaces in Brazil. Categories and sub categories. csv' file from Kaggle Competition Data Link, rename it to 'sample_submission_accuracy. Size_per_dept: average size of departments of a store may affects sales. Key areas of focus include: 1. 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. describe() - It shows a summary of the numerical data. We assumed it was in USD, however it could easily be CAD, considering this is data from a Canadian company. Kaggle Dataset: Walmart Recruiting - Store Sales Forecasting. It is available for free download from various sources, including the Microsoft website and Kaggle. Problem Statement: Predict Store Sales. Contribute to rmbennet/kg_superstore development by creating an account on GitHub. The global superstore dashboard consists of various visuals to quickly understand the data and highlight vital information to Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Also download the 'sample_submission. Membuat prediksi time series forecasting menggunakan dataset dari kaggle superstore_sales - AgungYogaSetiawan/superstore-sales-forecasting Saved searches Use saved searches to filter your results more quickly Download the competition data files from Kaggle Competition Data Link and place them in the 'raw_data' folder. superstore dataset EDA and KMeans Analysis About Data With growing demands and cut-throat competitions in the market, a Superstore Giant is seeking your knowledge in understanding what works best for them. ” disappear, so SQL was used to transform the data before importing to Power BI: Module 1 - dataset from Kaggle called 'Superstore Dataset' - gracegm/Module1 Dive into Big Data Analytics using Apache Spark. In this repository all my projects that are related to Power BI are available. sales gives the total sales for a product family at a OK, lets see the dataset again. The Retail dataset of a global superstore for 4 years is downloaded from kaggle which sells furniture, office supplies and technology related stuff. This analysis will show profits and sales and how they change year over year (YOY) for certian categories. csv: Contains anonymized information about the 45 stores, indicating the type and size of store. On digging deeper, it can be found out that iTunes App Store page deploys a nicely indexed appendix-like structure to allow for simple and easy web scraping. The main aim of the project is to uncover insights into the store's sales and profits trends and patterns from 2014 to 2017. You can access the dataset here. 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. Project was collaborated between Adam Bushman and Zach Manning. AI-powered developer platform . csv will store the predicted sales value. Navigation Menu Toggle navigation. csv at master · Wunmi-O/Superstore Independent Project - Kaggle Dataset-- I worked on the Superstore Sales Dataset, performing (as Part 1) data cleaning and preparation and exploratory data analysis. Topics Trending Collections Enterprise Enterprise platform. Manage code changes Kaggle实践. So, when I got an opportunity to do a Capstone project as part of my Udacity Data Scientist Nano degree, I This repository is mainly created to analyse the Superstore Dataset which is sourced from website named Kaggle. - GitHub - Shayanyde/Global-Superstore-Sales: This is a PowerBI project which aims to clean and analyze the global superstore dataset from Kaggle and then present all the findings in an insightful You signed in with another tab or window. The Power BI dashboard demonstrates how multiple end-users can be catered for in one place. The Global Superstore dataset can be used for a variety of analyses, including sales forecasting, inventory management, customer segmentation, and profitability analysis. - darshitparmar/Super Welcome to my GitHub repository where I've conducted a comprehensive data analysis of the Bakery Sales Dataset from "The Bread Basket," a bakery located in Edinburgh. Dataset from Kaggle . Make sure the test. This project is divided in two part: 1) The customer segmentation Analysis using SQL. Find dataset description and original dataset from here. Row Count: 45 / File Size: 1 KB; features. Host and manage packages Security. Demonstration of basic data cleaning, analysis, and visualisation techniques in Python, using a sales dataset sourced from Kaggle. There are 9,994 entries of product ordered with 20 fields that give details about the product such as ship date, ship mode, region, product name, sales, SUPERSTORE SALES AND PROFIT ANALYSIS. xlsx at main · kalyan0309/Superstore-Sales-Dashboard I got this dataset from kaggle. py The program will run for some amount of time and then produce a pickle file and submission. About the Dataset This dataset was generously provided by Olist, the largest department store in Brazilian marketplaces. This project involves the development of two interactive dashboards using Power BI to analyze the sales and profit performance of a US superstore. While many public datasets (on Kaggle and the like) provide Apple App Store data, there are not many counterpart datasets available for Google Play Store apps anywhere on the web. The dataset includes order details, anonymized customer information, product specifics, and financial metrics. - jv0927/Superstore-Analysis-using-excel The dataset contains sales information for a superstore operating in the United States, covering all its branches across cities and states. It offers multiple interesting dimensions to explore like order priority, product category, ship mode, location details, product segment and time Profit: The profit generated by the order. Dept_num: departments quantity of a store may affects sales. Exploratory Data Analysis and prediction of a dataset from Kaggle competition: Store Sales - Time Series Forecasting - kaviga/Kaggle_Storesales_Forecasting This is a simple Exploratory Data Analysis of Google Play Store Apps Dataset from Kaggle. - Ndbethia/Sales-Dashboard In this Tableau Project, we analyse Sample Superstore dataset. Automate any workflow The "Superstore Sales Analysis Using Excel" project, based on a Kaggle dataset, underwent thorough data cleaning before addressing vital sales questions. The analysis of the Retail Sales dataset from Kaggle, focusing on vehicle sales from 2003 to 2005, a project I did during the HNG internship programme to analyse the sales performance of a retail store from year 2003 -2005. Recently, I got to know that there are sophisticated predictive models available that take into consideration seasonality and trends. Order_ID: Unique identifier for each order. This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. Leveraged Kaggle's Walmart Recruiting dataset for comprehensive analysis. This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - leonism/sample-superstore Write better code with AI Code review. The analysis has been visualized using Tableau, and provides an overview of the dashboards and visualizations created to gain insights into the bike sales data. - Cagnoro1/Superstores-Sales-Analysis-and-Dashboard EDA is Exploratory and Explanatory Data Analysis. csv This dataset has information Brazilian zip codes and its lat/lng coordinates. OK, Got it. . Dive into Big Data Analytics using Apache Spark. 56 million available through the Google Play Store. head() Invoice Id is of no use for us, so lets make Date as our index column. csv ,store. In this project we have applied Exploratory Data analysis model to get to know about the data and hence different insights are mentioned in the conclusion of this file. ; The dataset contains the sales details of 3 categories: Furniture, Office Supplies, and Technology. The project works Dataset for the Global Superstore. 💼 Here's a quick overview of what you'll find in the dashboard: This is a sales and profit analysis of "SuperStore" that was found on Kaggle. com . You signed out in another tab or window. Concluding with an interactive Excel dashboard utilizing slicers and pivot tables, it offers valuable sales insights and showcases Excel's prowess in data visualization. csv' and place it in the 'raw_data' folder This is a PowerBI project which aims to clean and analyze the global superstore dataset from Kaggle and then present all the findings in an insightful dashboard using PowerBI. The dataset is a Global Superstore dataset based on sales and was found on Kaggle. txt in the folder dataset includes the paths to the images in the training, validation and test set respectively. Sample super store We chose the Olist dataset(s) available on Kaggle for Machine Learning 1 in the Southern Methodist Master of Data Science program. I chose this data set to visualize some of the trends in apps downloaded by the users. PROJECT OVERVIEW This repository contains a comprehensive analysis of sales and profit data from the Superstore dataset spanning 2014 to 2017. The findings provide insights into sales trends, regional performance, and other critical business metrics that can help improve strategic decision-making and business operations. Data Description: The goal was using basic statistical metrics to describe the behaviour of the present data. Android users have even more from which to choose, with 2. Topics data-visualization feature-selection r-markdown regression-models binary-classification business-analytics Store - the store number Date - the week of sales Weekly_Sales - sales for the given store Holiday_Flag - whether the week is a special holiday week 1 – Holiday week 0 – Non-holiday week Temperature - Temperature on the day of sale Fuel_Price - Cost of fuel in the region CPI – Prevailing consumer price index Unemployment - Prevailing unemployment rate Holiday Events Data Visualization with Tableau using Google Play Store dataset from Kaggle - 0xjychan/Google-Play-Store-Data-Visualization. copy() df. Steps to run the code: Run the Algorithm file on the datasets by entering the command - ----->python3 Final_submission. md at main · Store most of the important machine learning packages as wheels in a kaggle dataset to use them in internet disabled competitions - osbm/kaggle-wheels-dataset You signed in with another tab or window. Tasks include working with Spark RDDs, Spark SQL, and Spark DataFrames to discover Predicting Walmart store sales using various regression models and deep learning techniques. family identifies the type of product sold. The dataset is a valuable resource for data enthusiasts, analysts, and researchers looking to The dataset is a Global Superstore dataset based on sales and was found on Kaggle. The dataset is in a CSV format with 51,290 observations and 24 features. Tasks include working with Spark RDDs, Spark SQL, and Spark DataFrames to discover Python数据分析入门与实战代码. Sign in Product An initial study on ratings of paid and free apps on the Kaggle Google Play Store dataset - qiaochen/DataAnalysis4GooglePlayStore. GitHub community articles Repositories. In this Superstore Sales Data Analysis project, an exploratory data analysis was performed on the Superstore Sales Data available on Kaggle. Saved searches Use saved searches to filter your results more quickly The dataset has been obtained from Kaggle, the famous data science platform. This dataset pertains to a superstore in the US, providing information on customer transactions from 2014 to 2017. The dataset from Kaggle had little documentation. Contribute to dawangbaixiaofu/Kaggle- development by creating an account on GitHub. Something went wrong and this page Analysis about data of a superstore to make business decisions. Achieved high accuracy wit You signed in with another tab or window. AI-powered developer platform Data Exploration. The analysis will focus on data wrangling and US Superstore Dataset - Can also be donwloaded from https://www. Overview of Superstore Sales Dataset: Total number of orders Total sales Average profit. The superstore sales dataset can be downloaded from here. We make use of some basic charts like Pie chart, Bar chart, Heat table, Highlight table, Map, and several advanced charts such as Dual axis chart, Blended axis chart, Lollipop chart, Donut chart and Funnel chart. Power BI Data Analysis, Cleaning, Reporting, Visualization - MrSathekge/PowerBI This GitHub repository contains the design of a model using the LightGBM algorithm to forecast store item demand based on a time series dataset obtained from a Kaggle competition. I did Exploratory data analysis on Sample Superstore Dataset using Python, Tableau, Excel, SQL and R All the tools will give us same output but we have to know when to use which tool. Crafted an insightful Power BI dashboard for 'GLOBAL-SUPER-STORE-2016' by analyzing e-commerce sales data. Using the Kaggle Dataset, we want to predict Walmart Store Sales. By leveraging Power BI's data transformation and visualization capabilities, these dashboards provide insights into key An Interactive Dashboard for Superstore Sales that help in tracking different KPis like Sales, Profits, Quantity, Discount and have some exploration to get insights about sales and profits in different countries. 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. csv: Contains additional data related to the store, department, and regional activity for the given dates. With thousands of individual managers predicting sales based on The Super Store Data Analysis Project leverages a dataset from Kaggle to demonstrate the extensive application of data analysis and visualization using Power BI Desktop. This project features dynamic dashboards that provide comprehensive insights into the operations of an apple superstore. Data Reading: The dataset was read and imported into the project using the popular pandas library, The SuperStore dataset comprises a comprehensive sales record from a superstore, containing 9,994 entries across 19 distinct fields. Contribute to MoustafaMohamed01/Data-Analysis-Superstore development by creating an account on GitHub. txt and test. Our main KPI's for this Dataset were that of Total Sales, Profit and Quantity. This Google Play Store dataset from Kaggle, analysis using Python, NumPy , Pandas , and Matplotlib. This dataset provides transaction details of customers who ordered different items from the bakery online during the time period from January 26, 2011, to December 27, 2003. 2 million App Data) and 21 attributes The training data, comprising time series of features store_nbr, family, and onpromotion as well as the target sales. csv present in the same folder as the python file. The dashboard is interactive and allows users to Contribute to iriss-bit/SQL-Portfolio-Kaggle-Dataset-SuperStore-Supermarket- development by creating an account on GitHub. We will first clean the data, then use Machine Learning to predict the sales. It offers multiple interesting dimensions to explore like order priority, product category, ship mode, location details, product segment and time series information. Below, you will find the project structure, dataset description, and information about the model used. (link The aim of this work is to analyze a dataset of purchases in an anonymous online store. How to use the dataset The files train. com/juhi1994/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. The units themselves It is obligatory for any manufacturing firm to maintain continuity of its supply chain to meet customer needs timely. #make a copy of dataset, in case something goes wrong #Copying is not recommended for large datasets. - anwarraif/R_ExploratoryDataAnalysis The dataset was presented in the paper "A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels", which appeared at WACV 2019. The data was sourced from Kaggle in CSV format. It is publicly available for educational purposes and has been downloaded as csv file for ease of use. Reload to refresh your session. Leveraging advanced analytics and visualization techniques, the dashboard O repositório apresenta o conjunto de dados disponibilizado na plataforma do Kaggle, pela maior loja de departamento de marketplaces brasileiros, que conecta pequenas empresas de todo Brasil, os comerciantes podem vender seus produtos por meio da Olist Store e enviá-los a seus clientes. Currently, Rossmann store managers are tasked with predicting their daily sales for up to six weeks in advance. In this repository I have my superstore sales analysis dashboard of kaggle. It includes order specifics, product sequences, order timing, and aisle/department info. Order Items Dataset - olist_order_items_dataset. This project uses the Global Superstore dataset, which is open source and available on Kaggle. Use it to plot maps and find distances between sellers and customers. The dataset, from Instacart, comprises 3M+ grocery orders by 200K+ users. Learn more This project involves the analysis and visualization of sales data from the Superstore dataset, which was imported from Kaggle. The data comes from Kaggle's superstore dataset. - Anime-01/SuperstoreDataAnalysis Kaggle Superstore Dataset EDA/Predictions. The The preprocessing was to be made in Power Query and Excel but the columns with number values come with problems, the data type is text value and when imported all the “. Skip to content. The dataset contains Write better code with AI Security Performing data science on Apple's App Store dataset from Kaggle - pikaju/app-store-analysis Our goal is to perform a forecasting analysis on a datset of choice. 2) The visualization Dashboard on Tableau. - Superstore-Sales-Dashboard/Kaggle- Superstore Dataset (Modified). Source: Kaggle (Superstore Sales Analysis) Size: 138 rows and 20 columns Key Columns: Row_ID: Unique identifier for each record. Superstore Dataset From kaggle. The objective was to empower small sellers with data-driven insights, facilitating informed business decisions. Topics Trending Collections Enterprise Overview This project involves analyzing a dataset from a superstore to gain insights into the store's operations and customer behavior. AI-powered developer platform This project’s data is open source, it is the Global Superstore dataset obtained from Kaggle. Rossmann operates over 3,000 drug stores in 7 European countries. Contribute to Gejix/SuperStore_BA development by creating an account on GitHub. Actions. So far I have cleaned it. Use pie charts to visualize the proportion of each Type, Year, Month, and SuperStore_BA is a Business analysis project. A tag already exists with the provided branch name. The primary goal is to gain insights into the sales With a primary objective to illuminate effective product offerings, regional focus areas, product categories, and customer segments, I meticulously selected and curated a dataset from Kaggle, tailored to meet the exacting standards of a EDA and ML with Superstore Dataset off Kaggle This notebook illustrates a simple end-to-end analytics and ML solution. - rakii17/Super-Store-Data-Analysis This repository contains the analysis of bike sales data obtained from the "Europe Bike Store Sales" dataset available on Kaggle. The data This Superstore analysis portfolio project aims to leverage sales data to optimize operations and boost profitability. Here I perform the operations like Data cleaning using Power Query Editor and data visualization using the business intellegence tool Power BI and create dashboards that gives us the detailed insights of the data and helps in making data driven business decisions. The dataset subcategorized these items and showed shipping details to 147 countries across the world. However, at today's global scale the products go through complex supply chain networks needing large shipping times. head() - It shows the first 5 rows of the data. com/datasets/vivek468/superstore-dataset-final?resource=download. Row Count: 8191 / File Size: 579 KB This Tableau dashboard was created using the Sample Superstore dataset. df. Learn more. This Shiny dashboard provides an interactive visual representation of the Superstore Sales dataset obtained from Kaggle. Dataset containing Sales & Profits of a Superstore Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. The link to the dataset is https://bit. You switched accounts on another tab or window. With thousands of individual managers predicting sales based on their unique circumstances, the accuracy This project aims to perform a in depth analysis of the Superstore sale database. Using the superstore dataset from Kaggle, I will showcase different ways to query and summarize the data and answer some business questions. The dataset contains details about the orders placed by various users, 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. Available on Europe Bike Store Sales. Consumer and product Analytics on Global Super Store Data. Contribute to amrsayed22/SuperStore-analysis-project development by creating an account on GitHub. This is a Brazilian ecommerce public dataset of orders made at Olist Store. Feature Engineering: Derive new attributes based on the original features in order to describe the phenomenon in a better way. This is a time series data of 4 years from the year 2014 till 2017. Dataset Link The Kaggle Global Superstore dataset is a comprehensive dataset containing information about sales and orders in a global superstore. The Superstore’s business is notably profitable; however, data analysis has identified certain areas that require correction and optimization. - saljeshh/Superstore_sales_Data_analysis Explore a comprehensive analysis of Global Superstore sales, products, profitability, and regions. ly/3i4rbWl . Sign in Product Actions. The data can be accessed via this link. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. An Interactive Dashboard using Power Desktop on Global Superstore Dataset collected from Kaggle. This is a Kaggle dataset on Google Play Store Apps. You signed in with another tab or window. The dataset is subset of a Global Superstore dataset which is from a global retail chain that sells office supplies, Furniture and Technology Stuff. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Individual project leveraging Kaggle data for exploratory data analysis (EDA) and data modeling. Something went wrong and this page what do you mean studying data analysis means i have to analyze datasets? how could this happen - nateitei/random_datasets Using kaggle dataset of 'Walmart Store Sales Forecasting' and utilize Tableau data visualization to generate holiday analysis infographic for exploratory data analysis (EDA). The dataset was obtained from Kaggle, specifically focusing on the superstore dataset, which provided the necessary information for the analysis. Connecting Database with Power BI Desktop; Analyzing the tables and relations; Data Cleaning using the Power Query Editor; Data Modeling; Writing DAX; Developing an Interactive BI Dashboard/Report This repository contains 20 SQL queries written in MySQL Workbench using the Superstore dataset from Kaggle. This dataset can be found on Kaggle. It consists of 9994 purchases made from an anonymous online store Introduction This project aims to analyze sales and consumer behavior using the Global Super Store dataset. First and foremost, the dataset was loaded into pandas dataframe. - facile29/Store_SQL_Queries. Global Super Store from Kaggle. - anuppm9917/Super-Store-Sales-Analysis-Power-BI-Project The Dataset used was found on Kaggle. - dmarks84/Ind_Project_Superstore-Sales-Time-Series-Analysis--Kaggle This repository hosts a comprehensive dataset sourced from Kaggle, offering a rich collection of sales and order data from the Global Superstore. Reference link for the data: https://www. store_nbr identifies the store at which the products are sold. - FuadKhalit/Walmart_Sales_Forecast Data from a store dataset coming from Kaggle is used. - rob-evans/Superstore-Data-Exploration You signed in with another tab or window. Geolocation Dataset - olist_geolocation_dataset. The data, sourced from the Superstore retail transaction dataset on Kaggle, covers the period from 2014 to 2018. - Global-Superstore-2016-Power-BI/README. Step 03. Explore the "Superstore Dataset 2011-2015" from Kaggle. Originally published at Google Play Store Apps by Kaggle. The goal is to uncover trends, identify top-performing regions and categories, and recommend actionable strategies to improve profitability and operational efficiency. Identified and removed a duplicate transaction record for the customer Laurel Beltran using the In this personal Superstore Sales SQL Data Analysis project, an exploratory data analysis was performed on the Superstore Sales Data available on Kaggle. uuheidcyrwrivffvsnjvpdaknrxfzkhupscnvbvceijddvrcuvm
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