Superstore dataset csv github. Index; Customer Id; First .

Superstore dataset csv github. 超市数据分析. The Superstore Data Analysis Project focuses on extracting insights from a retail superstore dataset. - gmbkrishna/superstore_retail Personal Project. Tableau will automatically connect to Personal Project. Data Files: store. The dataset was presented in the paper “A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels”, which appeared at WACV 2019. GitHub community articles Repositories. - Sample-Superstore-Dataset-Analysis/Analysis of Super Store - DA. Using libraries like Matplotlib, Seaborn, and Plotly, you can create a wide range of visual representations This repository aims towards the task of the Project of the Internship, where we brainstorm the SuperStore Sales dataset. Describe the data in hand in your own words. pbix file in Microsoft Power BI. Top. The description of data is as follows: "Global Superstore is a customer-centric dataset, which has the data of all the Saved searches Use saved searches to filter your results more quickly You signed in with another tab or window. - GithubSafa/SuperStoreDataAnalysis You signed in with another tab or window. This project highlights key SQL skills and showcases how SQL can be used for business analytics in real-world datasets. 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 Rossmann operates over 3,000 drug stores in 7 European countries. Contribute to azhar2ds/DataSets development by creating an account on GitHub. The data was sourced from Kaggle in CSV format. ️ You can find the code for this tutorial on GitHub. Utilizing Power BI, this project delves into various aspects such as overall performance, category/sub-category analysis, sales trends, profitability, return analysis, regional The Superstore. Data Preparation: Preprocessed and cleaned the Sample - EU Superstore dataset to handle missing values, outliers, and data inconsistencies. Exploratory Data Analysis on SuperStore DataSet Using Python - GitHub - adityak957/EDA-SuperStore: Exploratory Data Analysis on SuperStore DataSet Using Python This project aims to analyze and forecast e-commerce sales data from the Superstore using powerful data analysis techniques, with a particular focus on time series analysis. It contains 5,125 natural images from 81 different classes of fruits, vegetables, and carton items (e. data-science kaggle-competition walmart kaggle-dataset time-series-forecasting walmart-sales series model to predict weekly sales of Walmart data consisting of 45 stores located in different regions including store information and The dataset, AppleStore. This dataset represents a fictitious SQL: For querying and analyzing the dataset. The dataset was presented in the paper "A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels", which appeared at WACV 2019. Automate any workflow Packages. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Skip to content. Let's try to create a custom class in Python by Refresh. com . An interactive dashboard was developed to compare product sales & profits for segments in different European Countries. Nowadays, industries adopt data science to better understand their customer’s activity and differentiate their offerings from their competitor. The dataset superstore_sales. Contribute to mannugram/Store_Sales_Analysis development by creating an account on GitHub. pbix' file in Power BI Desktop to explore the interactive visualizations and gain valuable business insights. 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. This analysis was conducted as a task assigned by Vikot Solutions limited. Reload to refresh your session. csv Background A Superstore operates across multiple regions, selling a diverse range of products including furniture, office supplies, and technology. Sales, profits, shipping modes were analyzed on country, state and regional bases. Contribute to larryt2003/Superstore-Sales-Dataset-2015-2018 development by creating an account on GitHub. Data Exploration: Conducted exploratory data analysis (EDA) using Tableau to uncover patterns, trends, and correlations in the data, leveraging interactive visualizations and dashboards. You signed in with another tab or window. View raw (Sorry about that, but we can’t show files that are this big right now. AI-powered developer platform Superstore. Find and fix vulnerabilities Datasets. You can access the dataset here. Superstore_cleaned_dataset. csv is in the same directory as the Tableau workbook. 18 MB. I mainly chose this data set to analyze how a store work under different situations and how they tackle profit or loss, while they are in profit how they got profit and how to increase it further, and if they are in loss how they tend to increase the sales and background works like how they analyze to make profit and improvement in sales. GitHub Copilot. The insights gleaned are then translated into a dynamic dashboard, offering a user-friendly visual narrative of the sales landscape for informed decision-making. Contribute to Faith0225/supermarket development by creating an account on GitHub. Superstore Sales Dataset 2015 – 2018. Explore the interactive dashboards and visualizations to gain You signed in with another tab or window. csv dataset is a retail transactional dataset representing sales data from a store or chain. Superstore. We read every piece of feedback, and take your input very seriously. Introduction Welcome to the "Global Superstore Data Analysis" project! This repository contains a comprehensive data analysis and visualization project using Power BI, focusing on the Global Superstore dataset. Contribute to apoorva2796/DataSet development by creating an account on GitHub. The 81 classes are divided into 42 coarse-grained classes, where e. We have library( apyori ) to calculate the association rule using Apriori. Explore trends, patterns, and key metrics to inform strategic business decisions and drive growth. Analysis from Heatmap. Applied different Visualization techniques on the dataset and used various libraries such as Plotly, etc. CSV is a generic flat file format used to store structured data. Explore trends, patterns, and key metrics to The Superstore Sales Dataset is a popular dataset used for learning and practicing data analysis, visualization, and machine learning techniques. Open the Tableau Workbook: Double-click on Superstore sales analysis. This project creates a full ETL pipeline for processing SuperStore sales data using Docker. Find and fix vulnerabilities I've performed Exploratory Data Analysis on the dataset SampleSuperstore. py file Host and manage packages Security. You are a sales manager at Superstore Sales- one of Canada’s largest retail stores. Advanced Security. Topics Trending Collections Enterprise Enterprise platform. The Excel dataset is cleaned and converted to a CSV file, which is then imported into a SQL database. Contribute to Natasha-Data/Datasets development by creating an account on GitHub. ipynb at master · leonism/sample-superstore You signed in with another tab or window. In this analysis, we delve into a comprehensive exploration of Task 1:- Understanding the Data. - EU-Superstore/Sample - EU Superstore. Leveraging Python, Streamlit, Pandas, Plotly Express,Matplotlib. - apriori/GroceryStoreDataSet. Find and fix vulnerabilities Codespaces. - nehanaseem/Apple-Store-Data-Analysis This repository contains a Python project for analyzing data from the Apple Store. EDUNET IBM SKILLSBUILD DATA ANALYSIS PROJECT. Explore the code and You signed in with another tab or window. csv") Take a glimpse of the dataset. Sign in Product Actions. . 📊🚀 Cleaned and analyzed sales data using Power Query and DAX, transforming raw numbers into actionable insights. You switched accounts on another tab or window. Code. Contribute to kaikeba/DAG-PythonBook development by creating an account on GitHub. Contribute to manoj147/apriori development by creating an account on GitHub. csv analyzer for superstore dataset. Topics Trending The dataset contains 12 CSV files containing sales details for the 12 months of the About: The superstore data analysis project aims to gain meaningful insights from a large dataset related to a retail superstore's sales and profit. Open the Super Store Analysis. Place the Dataset: Ensure that Superstore sales dataset. Exploring the Dataset: We perform initial data exploration to understand the structure and contents of the dataset. Categories and sub categories. Contribute to shekhs/SampleSuperstore-EDA development by creating an account on GitHub. Connect the file to the SuperStore_Sales_Dataset. EDA- To Explore Business Analytics¶ Objective: Perform ‘Exploratory Data Analysis’ on dataset ‘SampleSuperstore’ Developed a comprehensive Super Store Sales Dashboard using Power BI, featuring key insights such as high monthly profits in October 2019 and March 2020, top sales in the Office Supplies category, and a preference for Standard Class shipping and COD payments. csv, which is a dataset of a patient demographic containing standard information regarding individuals from a variety of ancestral lines. , also visualized the data points through PowerBI to study the Profit and Save giaunguyenvan/45a5c95a0f67f0c170dddda6117dfe90 to your computer and use it in GitHub Desktop. csv at main · Nrj27/Sample-Superstore-Dataset-Analysis Datasets used in Plotly examples and documentation - datasets/diabetes. Quickly spot increases or decreases in sales, profit ratio, and shipping time, and switch to the Prescriptive tab to pinpoint the root cause. It is the algorithm behind "You may also like" where you commonly saw in recommendation platforms. The description of data is as follows: "Global Superstore is a customer-centric dataset, which has the data of all the I have used Pandas for data loading, manipulation and exploration, seaborn and matplotlib for data visualization and sklearn for statistical modeling. Checked for missing data All the columns have data for every row except for Product Base Margin Apriori is an algorithm used for Association Rule Mining. Store sales are influenced by many factors, including promotions, competition, school and state holidays, seasonality, and locality. (Sorry about that, but we can’t show files that are this big right now Apriori algoritm from scratch Python. In this project I have analyzed the sales of the super store using Pyspark and databricks. - GitHub-repository-on-Pandas-with-a-Superstore-dataset-/Sample - Superstore_Orders. Superstore Data Analysis using SQL. An analysis of the global superstores dataset. With thousands of individual managers predicting sales based on EDA is Exploratory and Explanatory Data Analysis. The data can be accessed via this link. csv. Clone the repository and open the '. Once you have the dataset, the next step is to import it into our Python environment using the Pandas 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. df = pd. csv We can't make this file beautiful and searchable because it's too large. Enterprise-grade AI These datasets and files are used by Prof. Sales and Profit are Moderately Correlated; Discount and Profit are Negatively Correlated; Overall Analysis. csv at main · anwarraif/R_ExploratoryDataAnalysis The project analyzes the Superstore dataset to uncover insights on profitable product categories, regions with high sales and profit, and the most profitable products. File metadata and controls. It simulates sales data from a fictional Sample SuperStore. Grocery Store is a dataset of natural images of grocery items. (2. The store aims to enhance its decision-making process by utilizing data-driven insights to monitor sales performance, manage inventory, and understand Contribute to himanshusoni93/DataSets- development by creating an account on GitHub. This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - leonism/sample-superstore The SuperStore dataset comprises a comprehensive sales record from a superstore, containing 9,994 entries across 19 distinct fields. Contribute to mwale1996/superstore_dataset development by creating an account on GitHub. Raw. Google PlayStore App dataset. Contribute to allen-0007/csv-analyzer development by creating an account on GitHub. csv," is loaded into a Pandas DataFrame, allowing us to work with the data efficiently. Tool Used We read every piece of feedback, and take your input very seriously. Rossmann operates over 3,000 drug stores in 7 European countries. Each row in these Apriori algoritm from scratch Python. csv at main · anwarraif/R_ExploratoryDataAnalysis Learning :- Incorporated data analysis techniques, specializing in time series analysis, to deliver valuable insights, accurate sales forecasting, and interactive dashboard creation, driving busin Utilizing data analysis techniques , specifically focusing on time series analysis to provide valuable insights and accurate sales forecasts. The dashboard offers valuable insights on various aspects, including sales comparisons across states, the top-spending customer, the most popular product category, preferred payment mode, profitable months, and the sub-category driving maximum profits for Madhav E-Commerce Store. rossmann store data. we will identify and assess the features of our Superstore Dataset: We will process and clean our data with the help of Excel as the file is already a CSV file so a look through of our data with Excel can be ideal to: Welcome to the SuperStore Sales Dashboard project! As a fellow data enthusiast, I'm excited to share with you this comprehensive Power BI project that transformed raw data into actionable insights. csv at master · SavioSal/datasets Saved searches Use saved searches to filter your results more quickly You signed in with another tab or window. The SuperStore Database Management Project (DBMD) is a comprehensive solution designed to streamline and optimize the operations of an e-commerce business. Write better code with AI Code review. Python数据分析入门与实战代码. With thousands of individual managers predicting sales based on Exploratory Data Analysis of Sales dataset from an electronics store chain in the US and answering a set of real-world business questions using Python and Data Analytics - sinjoysaha/sales-analysis GitHub community articles Repositories. Find and fix vulnerabilities The primary dataset used for this analysis is the "sales data. With interactive reports and dashboards, stakeholders can quickly understand trends, make data-driven decisions, improved profitability. Global Super Store from Kaggle. For each dataset, several CSV sizes are available, from 100 to 2 million records. Contribute to cjbayesian/walmart development by creating an account on GitHub. This was provided by the Incubator Hub. For deploying customer segmentation in e-commerce, data mining approaches like clustering and subgroup discovery will be used. txt , val. Categorised list of freely available GIS datasets. The SuperStore Sales Analysis project is a comprehensive data analysis tool designed to provide insights into sales data from a fictional superstore. Google Colab: For running SQL queries and visualizing the data. Pandas Superstore Analysis: A comprehensive repository using Pandas to analyze and visualize the Superstore dataset. df. Check Datatypes of columns. Sales and Performance Analysis Dashboard in Power BI - mechieguy/SuperStore-Sales-Dashboard The aim of this work is to analyze a dataset of purchases in an anonymous online store. 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 repository contains sample Comma Separated Value (CSV) files. csv" file containing detailed information about each sales made by the store. Perform ‘Exploratory Data Analysis’ on dataset ‘Sample Superstore’. csv) turned into multiple CSVs; CSVs imported into Mongo (mongo-import. 33 MB. Find and fix vulnerabilities it is the Global Superstore dataset obtained from Kaggle. The Superstore dataset consists of 21 columns and 99,944 rows, offering a comprehensive view of the company's operations. csv data source. RishabLal/Analysis_Of_Superstore_Dataset This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. xlsx onto my desktop. I've analysed the data and gained valuable insights through it You signed in with another tab or window. - WMF07/SuperStore-SalesDashboard This project focuses on analyzing and visualizing the Superstore Sales Data using Power BI to derive actionable business insights. The files train. Write better code with AI Security. Business Problem. Tool Used 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. Write better code with AI Code review Download the project files from the GitHub repository. Contribute to sandeep347/SuperStoreData development by creating an account on GitHub. How to use the dataset The files train. Instant dev environments You signed in with another tab or window. Something went wrong and this page crashed! If the issue persists, it's likely a problem on our side. This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - sample-superstore/01- Data Exploration - SampleSuperStore. 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 repository contains dataset and source file of a super store which has 3 tables namely Orders, Users, Returns. main 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. EDA is Exploratory and Explanatory Data Analysis. - par GitHub community articles Repositories. OK, Got it. This is a practice project which I did to polish up my Excel skills. csv at main · Nrj27/Sample-Superstore-Dataset-Analysis Navigation Menu Toggle navigation. Dataset containing Sales & Profits of a Superstore Dataset containing Sales & Profits of a Superstore. Enrichments Store. Savio for educational purposes only, in the fields of AI Machine Learning using Python and R, Data Visualization using Tableau, Business Analytics, Big Data using Hadoop and Spark, and Advanced Excel among several others. The script used to generate all those CSV files is open source and available on Github. The dataset includes order details, anonymized customer information, product specifics, and Contribute to noortamer/Super-Store-Sales development by creating an account on GitHub. This project focuses on creating a robust database management system that facilitates efficient handling of various aspects of an online store, from product inventory to customer orders. Contribute to kailashd94/Python-Superstore-Sales-Analysis development by creating an account on GitHub. 2. juice, milk, yoghurt). Utilizing Power BI, this project delves into various aspects such as overall performance, category/sub-category analysis, sales trends, profitability, return analysis, regional You signed in with another tab or window. Blame. Dataset containing Sales & Profits of a Superstore. AI-powered developer platform Available add-ons. Datasets are split in 3 categories: Customers, Users and Organizations. Contribute to aryengoyal/Superstore-Sales-Data-Analysis development by creating an account on GitHub. About. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. - datasets/store_data_association_rules. The sample was taken Visualize walmart store openings. Currently, Rossmann store managers are tasked with predicting their daily sales for up to six weeks in advance. Contribute to maiaufrrj/superstore_data development by creating an account on GitHub. It searches for a series of frequent sets of items in the datasets. Along with the the dataset there two tasks solved in this repository. Contribute to aayushvijay23/SuperStore-DataSet-Analysis development by creating an account on GitHub. csv holds info about each store. csv and store. - R_ExploratoryDataAnalysis/Dataset Global Superstore. All natural images were taken with a smartphone camera in different grocery stores. - GitHub - Wunmi-O/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. Superstores industry comprises of companies that operateby having large size spaces which store and supply large amounts of goods. g. The analysis will consist of data cleaning, exploratory data analysis (EDA), a simple case of linear This corporate style viz is a different take on the classic Tableau Superstore data set. An EDA on SuperStore Sample dataset that is provided by Sparks Foundation as a part of my Data Science & Business Analysis internship - Youssif22/superstore-dataset-EDA superstore Sales Analysis Using Python . Learn more. A Tableau Project. EU Superstore data was analyzed and visualized. Enterprise-grade AI GitHub is where people build software. - Bike-Sales-Analysis/Excel Project Dataset. csv holds the sales info per day for each store. Enterprise-grade security features GitHub Copilot. Those CSV files can be used for Sample superstore dataset Exploration. From importing and cleaning data to crafting advanced charts and forecasting, this project has been a labor of love. S Learning :- Incorporated data analysis techniques, specializing in time series analysis, to deliver valuable insights, accurate sales forecasting, and interactive dashboard creation, driving busin Contribute to mannugram/Store_Sales_Analysis development by creating an account on GitHub. Power BI is used as the visualization tool to create interactive and You signed in with another tab or window. csv at master · plotly/datasets You signed in with another tab or window. Dive into the world of data-driven decisions! Incorporated data analysis techniques, specializing in time series analysis, to deliver valuable insights, accurate sales forcasting, and interactive dashboard creation, driving business success. The final report is to be made for only the Corporate customer segment. ) Footer This is a practice project which I did to polish up my Excel skills. Rossmann operates over In Excel, we employ Pivot Tables to meticulously analyze bike sales data, unraveling trends and key indicators. It builds on associations and correlations between the itemsets. Create powerful workflows with our easy-to-use enrichments. csv at master · HarshaDannina/apriori Analysis using EDA and Regression. sample dataset. The dataset is in a CSV format with 51,290 Here’s the source link for the dataset that I have used for this project — superstore. By identifying these factors, actionable recommendations will be provided to enhance revenue and profitability for the company. read_csv("supermarket_sales. csv at main · roy628182/GitHub-repository-on-Pandas-with-a Analyze sales data from a supermarket dataset to uncover insights into customer behavior, product performance, and operational efficiency. The dataset contains information about sales, customers, products, and orders from a The Super Store dataset contains data on order details of customers for orders of a superstore ie; chain of multiregional stores under a brand globally. The primary dataset used for this analysis is the "sales data. The dataset consists of two csv files: rossmann store data. Contribute to Anneybear/Data-Analysis-of-a-Global-Superstore development by creating an account on GitHub. It contains records of orders, including details about customers, products, sales, and profits. In dataset analysis, you can view the best app 5-star rating app, most review app, or most downloa You signed in with another tab or window. csv dataset, it's time to dive a little bit deeper of what, both Python and Pandas capable of delivering. xls at master · ARAPIL/EU-Superstore Incorporated data analysis techniques, specializing in time series analysis, to deliver valuable insights, accurate sales forecasting, and interactive dashboard creation, driving business succes About. Incorporated data analysis techniques, specializing in time series analysis, to deliver valuable insights, accurate sales forcasting, and interactive dashboard creation, driving business success. Navigation Menu Toggle navigation. The main reason which leads to loss is Discount as if some areas lead to loss due to more discounts, and some areas lead to fewer sales due to fewer discounts, hence it needs to be improved. Superstore Sales and profit. You signed out in another tab or window. Manage code changes Superstore dataset Link superstore_dataset. 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. csv is now cleaned and ready for data analysis. The SampleSuperstore dataset contains information about a fictional superstore's sales, profit, and other related attributes. We extract, transform, and visualize the data to gain insights into performance and predict future sales. dtypes. Loading the Dataset: The dataset, "SampleSuperstore. Contribute to PratikC07/SuperStore-Sales development by creating an account on GitHub. Sample_Superstore. So now the dataset is very clean and ready to be exported to csv file with UTF-8 encoding. txt, val. Dataset: Sample Superstore data including sales, customers, and products You signed in with another tab or window. - MmaAdeola/Superstore-sales-analysis You signed in with another tab or window. This repository features the Superstore Sales Analysis project, demonstrating data cleaning and analysis using Python and SQL, along with interactive visualization in Power BI. In response to escalating market competition, the Superstore seeks strategic insights to optimize products, regions, categories, and customer segments. Includes everything from administrative boundaries to population, and from terrorist incidents to global vegetation at the Contribute to BhanuMythreyi/Superstore-Dataset development by creating an account on GitHub. head() df. This Google Play Store dataset from Kaggle, analysis using Python, NumPy , Pandas , and Matplotlib. sh) GitHub community articles Repositories. Explore the dynamic insights of a super store's performance through this interactive Power BI dashboard. SQL queries are utilized to extract relevant information and derive insights from the dataset. Analyze sales data from a supermarket dataset to uncover insights into customer behavior, product performance, and operational efficiency. Datasets that I used during data analysis and machine learning - Datasets/Sample-Superstore. , also visualized the data points through PowerBI to study the Profit and Sales Analysis closely & understood the customer sales Host and manage packages Security Pandas Superstore Analysis: A comprehensive repository using Pandas to analyze and visualize the Superstore dataset. Identify and list the Primary Keys and Foreign Keys for this dataset provided to you(In case you don’t find either primary or foreign key, then specially mention this in your answer) Task 2:- This project utilizes Power BI to analyze and forecast sales data from a superstore over a two-year period. Analysis about data of a superstore to make business decisions - lucalevi/superstore-dataset Contribute to jeaggo/datasets development by creating an account on GitHub. This is a detailed analysis Now that we've come a long way of exploring our superstore. csv at master · ANANYAJENA/Datasets 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. Host and manage packages Security. csv at main · Shafana123/Bike-Sales-Analysis You signed in with another tab or window. Datasets used in Plotly examples and documentation - datasets/diabetes. CSV Dataset: Data source for Superstore operations. Contribute to himanshusoni93/DataSets- development by creating an account on GitHub. - Superstore/SampleSuperstore. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. Appling R coding on the medical data from a given file data. ) You signed in with another tab or window. The data has 51290 rows, and 24 columns. The Superstore Analysis project aims to provide comprehensive insights into the performance, trends, and patterns within the sales data of a fictional superstore. S Data visualization with Python is a crucial technique for interpreting complex data sets. Index; Customer Id; First Just a simple data dump from SQL's Northwind database to a CSV; CSV (northwind. twb to open the Tableau workbook. Load the Dataset. csv at master · Wunmi-O/Superstore This dataset pertains to a superstore in the US, providing information on customer transactions from 2014 to 2017. Customers Dataset. The primary objective was to clean, transform, and analyze the data to create an interactive dashboard that highlights key performance indicators and sales trends across different regions. 3 million App Data) and 24 attributes - gauthamp10/Google-Playstore-Dataset To contribute to the success of a business by utilizing data analysis techniques, specifically focusing on time series analysis, to provide valuable insights and accurate sales forecasting. For each, sample CSV files range from 100 to 2 millions records. By analysing this dataset, the project seeks to uncover patterns, trends, and factors influencing the store's performance to facilitate informed Contribute to PratikC07/SuperStore-Sales development by creating an account on GitHub. How to use the dataset. We'll create a mock sales dataset, a couple of csv files, that include product details, prices, quantities sold, and the Download Open Datasets on 1000s of Projects + Share Projects on One Platform. xlsx is provided below. The dataset contains several attributes, including sales, profit, order date, ship date, and more. Contribute to mimansha98/Tableau_Dashboards development by creating an account on GitHub. txt and test. This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. the fine-grained classes 'Royal Gala' and Dataset Description Different products given 7500 transactions over the course of a week at a French retail store. This assignment is based on the Superstore Dataset Provided in "csv" format. It integrates Airflow for task management, MySQL for data storage, and Jupyter for analysis. The You signed in with another tab or window. The first line contains the CSV headers. I have created an interactive dashboard to track and analyze online sales data. As a business manager, try to find out the weak areas where you can work to make more profit. This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. Identified and removed a duplicate transaction record for the customer Laurel Beltran using the You signed in with another tab or window. This project offers a user-friendly interface for analyzing and visualizing sales trends, regional performance, and product categories. Combining new marketing strategies with word-of-mouth recommendations is become very 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. This project uses the Global Superstore dataset, which is open source and available on Kaggle. You need to send a report to your manager containing a summary of sales for the Corporate customer segment. Flexible Data Ingestion. columns. Download and store the Air Quality Index Dataset as csv using Python with the apis used in National Air Quality Index How to use ? Set Hour, Year, Month, Starting and ending day of the month in AQI. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Sign in Product ️ Reference links ~dashboard showcase~ Super Sample Superstore This corporate style viz is a different take on the classic Tableau Superstore data set. I downloaded the Global Superstore Orders 2016. csv, includes various attributes of iOS apps such as user ratings, prices, and genres. The aim of this work is to analyze a dataset of purchases in an anonymous online store. EDA and ML with Superstore Dataset off Kaggle. After finishing the data cleaning,now the requirement is to convert the cleaned csv to sql file and create a table called "superstore" in the PHP Admin. txt in the folder dataset includes the paths to the images in the training, validation and test set respectively. By leveraging various data visualization tools and implementing advanced analytics, the project provides data-driven insights and precise sales forecasting.