Superstore dataset csv github df 超市数据分析. This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. update: SQL file of superstore has been improved with name new_superstore. csv - Sales data grouped using D frequency. . initial_sales. dataset. csv - Monthly total sales data from January 2014 - December 2014. csv - Sales data grouped using YS frequency. Sales and Performance Analysis Dashboard in Power BI - mechieguy/SuperStore-Sales-Dashboard 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. pbix file in Microsoft Power BI. File metadata and controls. monthly_sales. csv at main · SohamB21/Analysis-Of-SuperStore-Dataset test. Analyze sales data from a supermarket dataset to uncover insights into customer behavior, product performance, and operational efficiency. Open the Super Store Analysis. csv - Sales data grouped using MS frequency. csv. The sample was taken from the legendary dataset “Sample Superstore”, of a fictional Ecommerce company. You signed out in another tab or window. This is a detailed analysis on customer behavior analysis. #make a copy of dataset, in case something goes wrong #Copying is not recommended for large datasets. Explore the code and Contribute to maiaufrrj/superstore_data development by creating an account on GitHub. df. Contribute to Faith0225/supermarket development by creating an account on GitHub. Connect the file to the SuperStore_Sales_Dataset. Contribute to kaikeba/DAG-PythonBook development by creating an account on GitHub. Most of the data sets used in projects I've worked on - DATASETS/superstore. I completed the IBM SkillsBuild Data Analytics Internship Program to develop my Data Analytics skills and apply them to a real-world problem by working on this project. yearly_sales. Dataset: Analysis of Super Store - DA. You switched accounts on another tab or window. Download the project files from the GitHub repository. , also visualized the data points through PowerBI to study the Profit and Sales Analysis closely & understood the customer sales trends, which will help the supermarket to optimize the purchase. This repository features the Superstore Sales Analysis project, demonstrating data cleaning and analysis using Python and SQL, along with interactive visualization in Power BI. 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. Original dataset taken from Tableau public dataset website. set_index("Date", inplace=True) Lets see how our dataset looks now. Categories and sub categories. Contribute to larryt2003/Superstore-Sales-Dataset-2015-2018 development by creating an account on GitHub. head() Lets check some Statistics for our data. The analysis will consist of data cleaning, exploratory data analysis (EDA), a simple case of linear regression, a more complete study of multiple linear regression and finally a binary classification problem. Code. Explore trends, patterns, and key metrics to inform strate You signed in with another tab or window. Top. csv at master · Wunmi-O/Superstore Superstore Sales Dataset 2015 – 2018. Contribute to BhanuMythreyi/Superstore-Dataset development by creating an account on GitHub. Sep 25, 2021 · Superstore. This Notebook is running on top of the following stacks : The SuperStore Dataset 2019-2022 contains 9,994 sales records across 19 fields, detailing orders, customers, products, and financial metrics, providing insights into regional sales, product categories, and customer behavior. csv at master · nisargaRavikumar/DATASETS Contribute to mrobleto/dataset-files development by creating an account on GitHub. Used for validation. describe() Lets see if data cleaning is required check for duplicated rows in the dataset. csv About This is a sample superstore dataset, a kind of a simulation where you perform extensive data analysis to deliver insights on how the company can increase its profits while minimizing the losses. df2= df. superstore_dataset. The dataset includes order details, anonymized customer information, product specifics, and financial metrics. Jul 24, 2023 · Applied different Visualization techniques on the dataset and used various libraries such as Plotly, etc. 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. You signed in with another tab or window. 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. shrimp,almonds,avocado,vegetables mix,green grapes,whole weat flour,yams,cottage cheese,energy drink,tomato juice,low fat yogurt,green tea,honey,salad,mineral water You signed in with another tab or window. Reload to refresh your session. - Analysis-Of-SuperStore-Dataset/Sample - Superstore. sql. The aim of this work is to analyze a dataset of purchases in an anonymous online store. - Superstore/SampleSuperstore. csv - Sales data grouped by Order Date; daily_sales. Python数据分析入门与实战代码. The three categories all account for over 30% of sales . copy() df. Explore the interactive dashboards and visualizations to gain insights into the Super Store's sales performance. This repository contains a Sales and Profit PowerBI dashboard and it's Excel data. In this dashboard we've monitored the Sales of a business by KPI's such as Payment Mode, State, Region, Product Category etc. 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. csv data source. This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. Available in csv, xlsx and sql format. csv We can't make this file beautiful and searchable because it's too large. Contribute to mwale1996/superstore_dataset development by creating an account on GitHub. oeilf bxjjlt xvd roeob rgeyr qqcpzwkc yqjklw vgb gsal cnoj
Superstore dataset csv github. This is a detailed analysis on customer behavior analysis.
