Superstore dataset csv github. Reload to refresh your session.

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