Superstore dataset csv github. csv - Sales data grouped using MS frequency.

Superstore dataset csv github head() Lets check some Statistics for our data. 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. - Analysis-Of-SuperStore-Dataset/Sample - Superstore. csv at main · SohamB21/Analysis-Of-SuperStore-Dataset test. csv We can't make this file beautiful and searchable because it's too large. csv - Sales data grouped by Order Date; daily_sales. Reload to refresh your session. initial_sales. #make a copy of dataset, in case something goes wrong #Copying is not recommended for large datasets. , 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. Explore trends, patterns, and key metrics to inform strate You signed in with another tab or window. csv. Dataset: Analysis of Super Store - DA. - Superstore/SampleSuperstore. 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 · Wunmi-O/Superstore Superstore Sales Dataset 2015 – 2018. 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. df2= df. This repository contains a Sales and Profit PowerBI dashboard and it's Excel data. set_index("Date", inplace=True) Lets see how our dataset looks now. csv - Monthly total sales data from January 2014 - December 2014. The sample was taken from the legendary dataset “Sample Superstore”, of a fictional Ecommerce company. Available in csv, xlsx and sql format. Analyze sales data from a supermarket dataset to uncover insights into customer behavior, product performance, and operational efficiency. Explore the code and Contribute to maiaufrrj/superstore_data development by creating an account on GitHub. You switched accounts on another tab or window. File metadata and controls. This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. yearly_sales. csv - Sales data grouped using YS frequency. Connect the file to the SuperStore_Sales_Dataset. sql. superstore_dataset. csv at master · nisargaRavikumar/DATASETS Contribute to mrobleto/dataset-files development by creating an account on GitHub. Original dataset taken from Tableau public dataset website. Python数据分析入门与实战代码. This is a detailed analysis on customer behavior analysis. 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. 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. The dataset includes order details, anonymized customer information, product specifics, and financial metrics. 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. monthly_sales. Contribute to Faith0225/supermarket development by creating an account on GitHub. df 超市数据分析. 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 this dashboard we've monitored the Sales of a business by KPI's such as Payment Mode, State, Region, Product Category etc. pbix file in Microsoft Power BI. 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. The three categories all account for over 30% of sales . Sep 25, 2021 · Superstore. csv - Sales data grouped using MS frequency. Download the project files from the GitHub repository. Open the Super Store Analysis. Contribute to mwale1996/superstore_dataset development by creating an account on GitHub. Categories and sub categories. This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. Most of the data sets used in projects I've worked on - DATASETS/superstore. Top. df. Contribute to BhanuMythreyi/Superstore-Dataset development by creating an account on GitHub. dataset. 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. copy() df. Code. 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. Used for validation. The aim of this work is to analyze a dataset of purchases in an anonymous online store. You signed out in another tab or window. Jul 24, 2023 · Applied different Visualization techniques on the dataset and used various libraries such as Plotly, etc. Explore the interactive dashboards and visualizations to gain insights into the Super Store's sales performance. update: SQL file of superstore has been improved with name new_superstore. You signed in with another tab or window. csv - Sales data grouped using D frequency. Contribute to larryt2003/Superstore-Sales-Dataset-2015-2018 development by creating an account on GitHub. describe() Lets see if data cleaning is required check for duplicated rows in the dataset. Contribute to kaikeba/DAG-PythonBook development by creating an account on GitHub. 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. iccelre pybaqym rbjw lyy vnhia zhantz ikuk gejymmz dwfnu tiox