Superstore dataset kaggle github. The Dataset is taken from Kaggle.

Superstore dataset kaggle github Each of the phase would only The Dataset is taken from Kaggle. Topics python data-science machine-learning ai time-series machine-learning-algorithms jupyter-notebook prediction kaggle artificial-intelligence kaggle-competition time-series-analysis This is a Kaggle dataset on Google Play Store Apps. Throughout the data cleaning phase, a concerted effort was made to ensure accuracy and This Tableau dashboard was created using the Sample Superstore dataset. Data Cleaning This Superstore Analysis Project is for an American-based Giant Retail store, which would love to understand which Regions, Categories, Shipping mode, Monthly sales trends and Segments they should target their products more or avoid, inorder to This project utilizes PySpark to analyze a dataset obtained from Kaggle containing information about various apps on the Google Play Store. - Superstore/SampleSuperstore. Find and fix vulnerabilities An interactive sales dashboard developed using Power BI, leveraging the Superstore Sales dataset from Kaggle. Something went wrong and this page crashed! Explore and run machine learning code with Kaggle Notebooks | Using data from Global Superstore. Below, you will find the project structure, dataset description, and information about the model used. - saljeshh/Superstore_sales_Data_analysis This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - leonism/sample-superstore Dive into Big Data Analytics using Apache Spark. - Khayati1/Rossman_Store_Sales_Kaggle_Dataset Dataset from Kaggle . Contribute to amrsayed22/SuperStore-analysis-project development by creating an account on GitHub. Dept_num: departments quantity of a store may affects sales. Size_per_dept: average size of departments of a store may affects sales. Reload to refresh your session. The first dataset encompasses 13 different attributes, while the second dataset provides five You signed in with another tab or window. Something went wrong and this page crashed! If the Explore and run machine learning code with Kaggle Notebooks | Using data from Superstore Sales Dataset Using data from Superstore Sales Dataset. - anwarraif/R_ExploratoryDataAnalysis 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. Contribute to shivamMahi/Google-Playstore-Apps-Analysis development by creating an account on GitHub. The dataset is a valuable resource for Profit: The profit generated by the order. 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, quantity, profit, e. About. Something went wrong Consumer and product Analytics on Global Super Store Data. Querying the transformed data using SQL queries to u The project involves creating an interactive and insightful dashboard for a fictional company, Global Superstore, using a dataset obtained from Kaggle. (1. The dataset includes various files with detailed information: train. The files train. csv: Contains additional data related to the store, department, and regional activity for the given dates. The sample was taken from the legendary dataset "Sample Superstore", of a fictional Ecommerce company. This dataset consists of 10841 rows and 13 columns. This repository contains the analysis of bike sales data obtained from the "Europe Bike Store Sales" dataset available on Kaggle. Something went wrong and Explore and run machine learning code with Kaggle Notebooks | Using data from Sample Superstore Dataset Using data from Sample Superstore Dataset. Explore and run machine learning code with Kaggle Notebooks | Using data from Superstore Dataset Explore and run machine learning code with Kaggle Notebooks | Using data from Superstore Dataset. ” disappear, so SQL was used to transform the data before importing to Power BI: 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. The Spark folder of this repository was written using Databricks if you want to replicate or continue the work you can checkout the free version Databrick community. - hshariq/Global-Superstore-2016-Power-BI Welcome to the GitHub repository for the Global Superstore Dataset! This repository hosts a comprehensive dataset sourced from Kaggle, offering a rich collection of sales and order data from the Global Superstore. The Global Superstore dataset can be used for a variety of analyses, including sales forecasting, inventory management, customer segmentation, and profitability analysis. It consists of 9994 purchases made from an anonymous online store Saved searches Use saved searches to filter your results more quickly This project contains sql statements that includes the process of Data Warehousing and Data Mining - yannie28/Global-Superstore This project involves the development of two interactive dashboards using Power BI to analyze the sales and profit performance of a US superstore. Discover key insights through interactive visualizations and DAX-powered dashboards. txt in the folder dataset includes the paths to the images in the training, validation and test set respectively. Created time series model using SAS Enterprise Miner to forecasting sales. - GitHub - its-bhuvi/Superstore-Performance-Dashboard-: I have developed a PowerBi superstore sales dashboard. This is necessary to download the I have developed a PowerBi superstore sales dashboard. So far I have cleaned it. The primary goal is to transform raw data into meaningful business insights, allowing stakeholders to Write better code with AI Security. This is a practice project which I did to polish up my Excel skills. Dataset Link OK, lets see the dataset again. This repository contains machine learning models that is developed for Store Sales dataset from Kaggle. 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. The data was sourced from Kaggle in CSV format. QUICK START LOCALLY Select your preferences and run the install command. Performed the data exploration and cleaning using SQL for a dataset about an e-commerce store to provide answers for smart business questions. describe() - It shows a summary of the numerical data. All data for this project was obtained from the Store Sales - Time Series Forecasting. Something went wrong and this page General Information. Manage code changes The dataset for this project is provided by Walmart on Kaggle and contains 4 files. The data, sourced from the Superstore retail transaction dataset on Kaggle, covers the period from 2014 to 2018. 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. ; Next, engineered features such as Department Ranking and Climate Zone (store temp ranking) showed favorable correlations with weekly sales and were helpful in improving forecast performance. Created, cleaned, updated, and altered tables. keyboard_arrow_up content_copy. Plan and track work In this Kaggle competition, you’re challenged to analyze a Google Merchandise Store (also known as GStore, where Google swag is sold) customer dataset to predict revenue per customer. - rob-evans/Superstore-Data-Exploration Using the superstore dataset from Kaggle, I will showcase different ways to query and summarize the data and answer some business questions. Unexpected end of Explore and run machine learning code with Kaggle Notebooks | Using data from Superstore Dataset Explore and run machine learning code with Kaggle Notebooks | Using data from Superstore Dataset. SUPERSTORE SALES AND PROFIT ANALYSIS. By leveraging Power BI's data transformation and visualization capabilities, these dashboards provide insights into key Kaggle实践. OK, Got it. sql exploratory-data-analysis cleaning-dataset. SuperStore Sales Dataset | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Analyzed a multicategory e-commerce store using big data techniques on a Kaggle dataset with the help of AWS EC2, AWS S3, PySpark, AWS Glue ETL, AWS Athena, AWS CloudFormation, AWS Lambda and Power BI! I used many visuals like Column Chart, Donut Chart, Drillthrough Donut Chart, Line Chart, Text Card, Number Card, Scrollers, Matrix, Simple Map, etc. df. In this analysis, we delve into a comprehensive exploration of a supermarket sales dataset obtained from Kaggle. This Google Play Store dataset from Kaggle, analysis using Python, NumPy , Pandas , and Matplotlib. PySpark is used for data processing and analysis, and A SQL repo for understanding analytics from basics to advanced with the help of Super Store datasets. Upload the kaggle. Manage code changes Recently, I got to know that there are sophisticated predictive models available that take into consideration seasonality and trends. Updated Feb 26, 2023; Jupyter Notebook; abiodunarabaa / Rossmann_Store_Sales Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. It contains SQL dump of Super Store Dataset provided by Tableau and various questions. The link to the dataset is https://bit. Dataset containing Sales & Profits of a Superstore. head() Invoice Id is of no use for us, so lets make Date as our index column. I chose this data set to visualize some of the trends in apps downloaded by the users. set_index("Date", inplace=True) Lets see how our dataset looks now. An initial study on ratings of paid and free apps on the Kaggle Google Play Store dataset - qiaochen/DataAnalysis4GooglePlayStore. Independent Project - Kaggle Dataset-- I worked on the Superstore Sales Dataset, performing (as Part 1) data cleaning and preparation and exploratory data analysis. Microsoft Excel has been employed for this project. 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. Superstore_USA-dataset | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Stable represents the most currently tested and supported version of kaggledatasets. The following are descriptions for those that aren't. Explore a comprehensive analysis of Global Superstore sales, products, profitability, and regions. I downloaded the Global Superstore Orders 2016. 0. Identified and removed a duplicate transaction record for the customer Laurel Beltran using the Superstore Dataset From kaggle. Hyperparameters tuned with hyperopt. Comparison tools. Something went wrong and this page crashed! Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. 2 million App Data) and 21 attributes This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. 2. Something went wrong and this page crashed! A Popular Dataset that can be used for your Power BI & Tableau Project Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Contribute to rmbennet/kg_superstore development by creating an account on GitHub. The training data includes dates, store and product information, whether that item was being promoted, as well as the sales numbers. Store sales are influenced by many factors, including promotions, competition, school and state holidays, seasonality, and Since the stores dataset is a list of each store with one store per row, we can create the folds in the stores dataset prior to merging this dataset with the train and test datasets. csv: Training data with features such as store_nbr, family, onpromotion, and sales. Implemented ETL pipeline. There are 3 dimensions that we can analyze: Timeline: When customer purchase the products, When the products shipped out. Step 6 : Custom Columns: Added 'Delivery Days' and 'Delivery Year' for enhanced analysis. csv: Contains anonymized information about the 45 stores, indicating the type and size of store. Our main KPI's for this Dataset were that of Total Sales, Profit and Quantity. Created by Ryan Using kaggle dataset of 'Walmart Store Sales Forecasting' and utilize Tableau data visualization to generate holiday analysis infographic for exploratory data analysis (EDA). csv at master · Wunmi-O/Superstore In this personal Superstore Sales SQL Data Analysis project, an exploratory data analysis was performed on the Superstore Sales Data available on Kaggle. Find and fix vulnerabilities Most of the fields are self-explanatory. The dataset includes order details, anonymized customer information, product specifics, and The dataset has been obtained from Kaggle, the famous data science platform. Its a customer centric data set , which has the data of all the orders that have been placed through different vendors and markets , starting from the year 2011 till 2015. Hopefully, the outcome will be more actionable operational changes and a better use of marketing budgets for those companies who choose to use data analysis on top of GA data. This analysis will show profits and sales and how they change year over year (YOY) for certian categories. Something went wrong and this page crashed! The Superstore data set contains information about products, sales, profits. Navigation Menu Toggle navigation. Clone the repository and open the '. csv | Kaggle Kaggle uses cookies 📊 Just Launched out of practice: Simple Power BI Dashboard 🚀. Ultimately the final model Kaggle public This corporate style viz is a different take on the classic Tableau Superstore data set. GitHub is where people build software. GitHub community articles Repositories. Results. GYEBI, SHI LONG ZHUANG, TER HUICHEE, FRANCISCO JAVIER GALLEGO, SHRUTI SAXENA, TUSHAR GOEL, MOHAMED EL-SROGY, HOWOO JANG, EKREM BAYAR. Go to your Kaggle account and create your API token. #make a copy of dataset, in case something goes wrong #Copying is not recommended for large datasets. The data has 51290 rows, and 24 columns. In this article, we will embark on a journey through Superstore Sales Data from Kaggle, employing unique and insightful data analysis technique, Including predictive modelling with Random Forest Superstore Sales Analysis: Exploring Orders, Customers, and Profits. The dashboard aims to provide insights into the market data, helping the store make informed decisions about product stocking, identifying top-selling categories and products, maximizing profits, and understanding sales distribution across different regions and categories. - anuppm9917/Super-Store-Sales-Analysis-Power-BI-Project GitHub community articles Repositories. In the Python Notebook, the Play Store Apps Dataset, taken from Kaggle, is analysed with various Plots and Conclusions. 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. Row Count: 8191 / File Size: 579 KB The dataset comprises 31,047 rows of sales data for Vrinda Store for the year 2022. c. sales gives the total sales for a product family at a Contribute to IamXiaoYao/Superstore-Sales_Linear-Regression development by creating an account on GitHub. Something went wrong and this page crashed! GitHub; Collection of Kaggle Datasets ready to use for Everyone Get Started. csv' and place it in the 'raw_data' folder 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. , Module 1 - dataset from Kaggle called 'Superstore Dataset' - gracegm/Module1 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 “. This project uses the Global Superstore dataset, which is open source and available on Kaggle. ly/3i4rbWl . Curate this topic Add this topic to your repo GitHub is where people build software. Dataset Contains up to 15 fields. by collected the Kaggle dataset, transformed it using Mysql. Contribute to dawangbaixiaofu/Kaggle- development by creating an account on GitHub. t. Our goal is to perform a forecasting analysis on a datset of choice. It This project involves the analysis and visualization of sales data from the Superstore dataset, which was imported from Kaggle. Superstores industry comprises of companies that operateby having large size spaces which store and supply large amounts of goods. Quickly spot increases or decreases in sales, profit ratio, and shipping time, and switch to the Prescriptive tab to pinpoint the root cause. Utilized maps, area charts, bar graphs, and interconnected filters for effec 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. The code was also developed based on knowledge from: Kaggle, Analyics Vidhya, THI LAN ANH NGUYEN, SATOSHI_S, IRENE A. The dataset comprises 31,047 rows of sales data for Vrinda Store for the year 2022. You signed out in another tab or window. Step 5 : Data Integration: Connected the three datasets using common columns. Something went wrong and this page crashed! If the The dataset has been obtained from Kaggle, the famous data science platform. This Notebook is running on top of the following stacks : Python 3. Something went wrong and this page crashed! If the issue Explore and run machine learning code with Kaggle Notebooks | Using data from Superstore Sales Dataset Using data from Superstore Sales Dataset. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. This dataset gives insights on online orders of a superstore in US. Download the kaggle. The findings provide insights into sales trends, regional performance, and other critical business metrics that can help improve strategic decision-making and business operations. This project utilizes PySpark to analyze a dataset obtained from Kaggle containing information about various apps on the Google Play Store. Kaggle Superstore Dataset EDA/Predictions. - darshitparmar/Super Dataset containing Sales & Profit of a Superstore. Dataset containing Sales & Expenses of a Superstore. - LMSharma/Analytics-SuperStore-SQL Contribute to Chukwuneme/bike-sales-analysis development by creating an account on GitHub. - facile29/Store_SQL_Queries. superstore_dataset | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. PySpark is used for data processing and analysis, and Question: How to use my github repository in Kaggle Notebook? Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Contribute to MoustafaMohamed01/Data-Analysis-Superstore development by creating an account on GitHub. The superstore sales dataset can be downloaded from here. Global Super Store from Kaggle. You'll practice your analytic modelling skills with an approachable training dataset of dates, store, and item information, promotions, and unit sales. Something went wrong My chosen path led me to meticulously select a dataset from Kaggle, thoughtfully tailored to meet the rigorous standards of a modern superstore. The main goal of the repository is to use the Spark structure from Databricks clusters, load and process data from the Kaggle Consumer and product Analytics on Global Super Store Data. head() Lets check some Statistics for our Purpose: To research and clean a retail sales data set to identify trends in sales, customer behavior and product performance. Something went wrong and this page crashed! If the issue persists, it's likely a problem on our side. The dataset is subset of a Global Superstore dataset which is from a global retail chain that sells office supplies, The dataset is a Global Superstore dataset based on sales and was found on Kaggle. 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. Tasks include working with Spark RDDs, Spark SQL, and Spark DataFrames to discover In this Superstore Sales Data Analysis project, an exploratory data analysis was performed on the Superstore Sales Data available on Kaggle. Benchmark that compares quality of GBDT packages on rossman-store-sales dataset. This Superstore analysis portfolio project aims to leverage sales data to optimize operations and boost profitability. python machine-learning kaggle-competition time-series-analysis kaggle-dataset rossmann-store-sales forecasting-model. by collected the Kaggle dataset, Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Find and fix vulnerabilities Codespaces. Sign in Product Actions. I got this dataset from kaggle. This project encompasses comprehensive data processing, cleaning, and visualization to deliver actionable insights into sales performance. Power BI Data Analysis, Cleaning, Reporting, Visualization - MrSathekge/PowerBI Introduction This project aims to analyze sales and consumer behavior using the Global Super Store dataset. Id - an Id that represents a (Store, Date) duple within the test set For learning purposes. Also download the 'sample_submission. Unexpected token < in JSON at position 0. . This notebook is a processed version of the Global SuperStore dataset. A GitHub dataset of 1052 repositories along with their details. We need to improve our About. 2) The visualization Dashboard on Tableau. Store sales are influenced by many factors, including promotions, competition, school and state holidays, seasonality, and locality. Use pie charts to visualize the proportion of each Type, Year, Month, and The training data, comprising time series of features store_nbr, family, and onpromotion as well as the target sales. Superstore Sales Dataset 2015 – 2018. json file to the Colab runtime before running the notebook. Objectives This project seeks to give a better understanding of Global Superstore's global market performance wrt sales, profit, quantities, countries/regions, product categories. The description of data is as follows: "Global Superstore is a customer-centric dataset, which has the data of all the Rossmann operates over 3,000 drug stores in 7 European countries. Throughout the data cleaning phase, a concerted effort was made to ensure accuracy and consistency, including the checking & removal of duplicate entries, missing values, and standardization of data formats. A tag already exists with the provided branch name. Explore and run machine learning code with Kaggle Notebooks | Using data from superstore_data. Row Count: 45 / File Size: 1 KB; features. It provides a comprehensive analysis of sales, profit, and order metrics across various categories, regions, and time periods. PySpark is used for data processing and analysis, and Dive into Big Data Analytics using Apache Spark. This is superstore sales data so im going to perfrom sales analysis. We use three kinds of cookies on our websites: required, functional, and advertising. Explore and run machine learning code with Kaggle Notebooks | Using data from US Superstore data. com . Google Play Store Dataset Analysis. The main task was to make predictions for future sales based on time-series analysis, which is found in Part 2. - dmarks84/Ind_Project_Superstore-Sales-Time-Series-Analysis--Kaggle 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. This is a Kaggle dataset on Google Play Store Apps. 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. Sign in Product Security. Dataset of 38765 rows for Market Basket Analysis. Currently, Rossmann store managers are tasked with predicting their daily sales for up to six weeks in advance. Learn more. This is a time series data of 4 years from the year 2014 till 2017. This project aims to perform a in depth analysis of the Superstore sale database. Something went wrong and this page crashed! This dataset gives insights on online orders of a superstore in US. In an era of escalating demands and intense market Dataset containing Sales & Expenses of a Superstore. The sample was taken from the legendary dataset “Sample Superstore”, of a fictional Ecommerce company. Super store data is popular in Kaggle. Fields include: age, gender, date, cost, revenue, profits etc. You can access the dataset here. - FuadKhalit/Walmart_Sales_Forecast Saved searches Use saved searches to filter your results more quickly • Analysed a Google Merchandise Store customer dataset and created a model using machine learning techniques to predict revenue per customer. after that created a visualized dashboard to understand the insights about sales data for future decisions. Write better code with AI Security 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 本数据分析报告基于线上商城的经营数据，通过DeepBI平台对日常运营进行实时监测和分析。数据来自kaggle的公开数据集“superstore_data”，包含超市零售数据，共51263条记录。分析的目的是建立经营分析平台，实现对公司全球 About. The Superstore data set contains information about products, sales, profits. Step 1 Explore and run machine learning code with Kaggle Notebooks | Using data from superstore_data. txt and test. The Super Store dataset contains data on order details of customers for Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Automate any workflow Packages. 2 million App Data) and 21 attributes - GitHub - gauthamp10/apple-appstore-apps: Apple AppStore Apps dataset. Download dataset from kaggle Saved searches Use saved searches to filter your results more quickly. Write better code with AI Code review. This dataset can be found on Kaggle. stores. Key areas of focus include: 1. Contribute to Sudz24/PlayStore development by creating an account on GitHub. Sample_Superstore Datasets | Kaggle Kaggle uses The SuperStore dataset comprises a comprehensive sales record from a superstore, containing 9,994 entries across 19 distinct fields. copy() df. Analyzed global superstore dataset (Kaggle) to suggest business expansion and inventory management strategies. Manage code changes Issues. Dataset for the Global Superstore. Tasks include working with Spark RDDs, Spark SQL, and Spark DataFrames to discover Find dataset description and original dataset from here. This repository is mainly created to analyse the Superstore Dataset which is sourced from website named Kaggle. Overview of Superstore Sales Dataset: Total number of orders Total sales Average profit. xlsx at main · kalyan0309/Superstore-Sales-Dashboard You signed in with another tab or window. Dataset: The Superstore Sales Dataset (available on Kaggle) (https:// Apple AppStore Apps dataset. We selected a dataset comprised of superstore sales from Kaggle (full reference below). This should be suitable for many users. txt, val. head() - It shows the first 5 rows of the data. com. Bike store sales, was downloaded from kaggle. The main aim of the project is to uncover insights into the store's sales and profits trends and patterns from 2014 to 2017. PROJECT OVERVIEW This repository contains a comprehensive analysis of sales and profit data from the Superstore dataset Data Scientist | MSc. Dataset Description In this competition, you will predict sales for the thousands of product families sold at Favorita stores located in Ecuador. - Anime-01/SuperstoreDataAnalysis In this repository I have my superstore sales analysis dashboard of kaggle. • Pre-processed the dataset and trained the model using You signed in with another tab or window. AI-powered developer platform Used Global Superstore dataset (Kaggle) to create a dashboard visualizing key performance indicators for the superstore. With thousands of individual managers predicting sales based on their unique circumstances, the accuracy of results can be quite varied. The dataset is in a CSV format with 51,290 observations and 24 features. - Cagnoro1/Superstores-Sales-Analysis-and-Dashboard You signed in with another tab or window. superstore_dataset | Kaggle Kaggle uses cookies from This is a sales and profit analysis of "SuperStore" that was found on Kaggle. 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. This dataset pertains to a superstore in the US, providing information on customer transactions from 2014 to 2017. 7; Pandas 1. Available on Europe Bike Store Sales. The data can be accessed via this link. This project is divided in two part: 1) The customer segmentation Analysis using SQL. You switched accounts on another tab or window. Preview is available if you want the latest, not fully tested and Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Sales Performance Analysis: GitHub community articles Repositories. Exploratory Data Analysis and prediction of a dataset from Kaggle competition: Store Sales - Time Series Forecasting - kaviga/Kaggle_Storesales_Forecasting Navigation Menu Toggle navigation. 1; The learning curve was designed, even for those whose relatively coming from a non-technical background. Something went Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Unexpected end of JSON input. The Analysis about data of a superstore to make business decisions - lucalevi/superstore-dataset The dataset was obtained from Kaggle, specifically focusing on the superstore dataset, which provided the necessary information for the analysis. It is available for free download from various sources, including the Microsoft website and Kaggle. Step 7 : Data Type Management: Ensured proper data types for easy formula application. Updated Rossmann operates over 3,000 drug stores in 7 European countries. The dataset was presented in the paper “A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels”, which appeared at WACV 2019. You signed in with another tab or window. . - Baioumi7/Googlepyspark The aim of this project is to perform exploratory data analysis and extract insights from the Google Play Store dataset. It offers multiple interesting dimensions to explore like order priority, product category, ship mode, location details, product segment and time series information. The dataset contains a wealth of information regarding sales transactions, customer demographics, product lines, and payment methods, encompassing a total of 1000 entries and 17 columns. product categories, and Dataset containing Sales & Profits of a Superstore. Instant dev environments GitHub Copilot. Project was collaborated between Adam Bushman and Zach Manning. The primary goal is to gain insights into the sales Dataset about superstore sales report . It consists of 9994 purchases made from an anonymous online store GitHub is where people build software. Data Reading: The dataset was read and imported into the project using the popular pandas This Shiny dashboard provides an interactive visual representation of the Superstore Sales dataset obtained from Kaggle. AI-powered developer platform This project’s data is open source, it is the Global Superstore dataset obtained from Kaggle. The project works 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. First and foremost, the dataset was loaded into pandas dataframe. df2= df. info() - It has 9800 entries and it shows that Postal Code has 11 missing values. Recently, I got to know that there are sophisticated predictive models available that take into consideration seasonality and trends. store_nbr identifies the store at which the products are sold. Explore the Superstore e-commerce platform data Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. csv' file from Kaggle Competition Data Link, rename it to 'sample_submission_accuracy. ; The dataset contains the sales details of 3 categories: Furniture, Office Supplies, and Technology. The You signed in with another tab or window. - The dataset was extracted and adapted from kaggle. Find processed dataset from here. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Contribute to e19931107/Power-BI_RFM-analysis-for-superstore-dataset development by creating an account on GitHub. Excited to share my latest project! I've created a powerful Power BI dashboard using the Superstore dataset, and I'm thrilled with Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. 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 The dataset has been obtained from Kaggle, the famous data science platform. Host and manage packages Security. - faayezakhta This project builds a pipeline to analyze Superstore sales data using the power of AWS. Forecast store sales on data from a large Ecuadorian-based grocery retailer. Sample - Superstore. So, when I got an opportunity to do a Capstone project as part of my Udacity Data Scientist Nano degree, I thought of exploring a famous retail store time series data set available on Kaggle. In dataset analysis, you can view the best app 5-star rating app, most review app, or most download app, etc. 4; Matplotlib 3. Contribute to catboost/benchmarks development by creating an account on GitHub. Download the competition data files from Kaggle Competition Data Link and place them in the 'raw_data' folder. Explore and run machine learning code with Kaggle Notebooks | Using data from Global Superstore. pbix' file in Power BI Desktop to explore the interactive visualizations and gain valuable business insights. With thousands of individual managers predicting sales based on Global Super Store is a data set which has around 50000 values. Data Cleaning This repository contains a Power BI dashboard created using the Superstore dataset from Kaggle. Unexpected token < in JSON at position 4. Skip to content. en IA candidate universidad de los Andes | Bancolombia · Ando cursando la maestría en inteligencia artificial en la universidad de los andes y cuento con 2 años de Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. xlsx onto my desktop. 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. Topics Trending Collections Enterprise Enterprise platform. The dataset was extracted and adapted from kaggle. superstore_dataset EDA and ML with Superstore Dataset off Kaggle This notebook illustrates a simple end-to-end analytics and ML solution. Data Exploration. Key Features: • Data Extraction and Cleaning Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Explore trends, patterns, and key metrics to inform strate This is the project from Kaggle, which is using Brazilian ecommerce public dataset of orders made at Olist Store - Vickyzjc/Brazilian-E-Commerce-Public-Dataset-by-Olist. How to use the dataset. Topics Trending Collections Enterprise Enterprise platform Contribute to catboost/benchmarks development by creating an account on GitHub. EDA is Exploratory and Explanatory Data Analysis. 2. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. It transforms the data to make it ready for exploration. You'll find graphical, statistical, and machine learning analysis in Python, along with a presentation made for the course. Something went wrong and this page crashed! If the Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. To automatically download the zip file of the dataset, you will need: A Kaggle account, sign up on Kaggle. Contribute to larryt2003/Superstore-Sales-Dataset-2015-2018 development by creating an account on GitHub. json file which contains your authentication token. This repository contains 20 SQL queries written in MySQL Workbench using the Superstore dataset from Kaggle. Each row in these Analyze sales data from a supermarket dataset to uncover insights into customer behavior, product performance, and operational efficiency. com; Contains data about sales of products of a bike company in Europe. It is publicly available for educational purposes and has been downloaded as csv file for ease of use. In this project, we will be using the Superstore dataset from Kaggle to analyze the data and identify insights that can help the company improve its business performance in the future. Explore the &quot;Superstore Dataset 2011-2015&quot; from Kaggle. Sign in Product Add a description, image, and links to the kaggle-dataset topic page so that developers can more easily learn about it. Sign in Product Saved searches Use saved searches to filter your results more quickly 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. The Dataset has data about more search centroids by the orders of superstore kaggle dataset - hwpy/search_centriods. 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. An Interactive Dashboard using Power Desktop on Global Superstore Dataset collected from Kaggle. Unexpected end of Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. - Superstore-Sales-Dashboard/Kaggle- Superstore Dataset (Modified). The data comes from Kaggle's superstore dataset. Demonstration of basic data cleaning, analysis, and visualisation techniques in Python, using a sales dataset sourced from Kaggle. The dashboard is interactive and allows users to In this EDA project, we utilized two raw datasets from Kaggle: one containing Play Store attributes and the other consisting of user reviews. In this repository all my projects that are related to Power BI are available. You can choose whether functional and advertising cookies apply. AI-powered developer platform Data Exploration. family identifies the type of product sold. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. aucpw apkssr gobs xxst oxbhu mrhj jbtlxz zdv ojykkj yqhf