Superstore dataset csv

Superstore dataset csv. The dataset is in CSV format, comprising 51,290 observations and 24 features. You can easily tell that there is a mix of categorical, geographical and numerical variables. This project uses the Global Superstore dataset, which is open source and available on Kaggle. The information provided includes the type of store, its size, department, regional activity, dates, temperature, fuel cost in the region, CPI, unemployment rate, whether the week was a special holiday, and more. Explore trends, patterns, and key metrics to inform strate 2019. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. This dataset contains anonymized historical sales data from 45 stores. Consumer and product Analytics on Global Super Store Data. The dataset includes order details, anonymized customer information, product specifics, and financial metrics. This is a detailed analysis on customer behavior analysis. Code. of the dataset. xl spread sheet to download . Where can I find the global super store. 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. You signed in with another tab or window. Quickly spot increases or decreases in sales, profit ratio, and shipping time, and switch to the Prescriptive tab to pinpoint the root cause. csv - Monthly total sales data from January 2014 - December 2014. This project contains sql statements that includes the process of Data Warehousing and Data Mining - yannie28/Global-Superstore Super Sample Superstore This corporate style viz is a different take on the classic Tableau Superstore data set. USA Online Retail Store SuperStore Dataset 2019-2022 | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. The dataset is in a CSV format with 51,290 observations and 24 features. Learn more Contribute to maiaufrrj/superstore_data development by creating an account on GitHub. Once you have the dataset, the next step is to import it into our Python environment using the Pandas Tableau's Superstore dataset - 2018. Jul 29, 2023 · The “Superstore Sales & Profit Analysis” project aims to uncover valuable insights and trends within the Superstore Dataset obtained from Kaggle. You can access the dataset here. You switched accounts on another tab or window. Reload to refresh your session. #import superstore dataset superstore_df=pd. Hi Srinivasa, The Global Superstore 2016 files are available for download under the training videos themselves, either as a data set or a workbook with starting state sheets build out. File metadata and controls. Dataset containing Sales & Profits of a Superstore. ~dashboard showcase~ Super Sample Superstore. world to share Superstore Sales 2023 data This notebook is a processed version of the Global SuperStore dataset. csv. 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 data can be accessed via this link. 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. Three datasets are available: Customers , People , and Organizations . Once you've signed in or filled out the form to watch a video, click "Watch Now" and the download links will appe Dataset: Analysis of Super Store - DA. File Manifest: test. Learn more. The table contains data on a sample superstore dataset with 9994 rows and 14 columns, including information on ship mode, segment, country, city, state, postal code, region, category, sub-category, sales, quantity, discount, and profit, which can be used to analyze and gain insights into various aspects of the superstore's operations and performance. 1 Tableau Superstore data set - includes MFG group Nov 15, 2023 · Get the retail dataset for analytics here. Historical Sales Data. Practice Your Data Analysis Skills as a Superstore Data Analyst. Each row represents an order of an item and the corresponding quantity, sales ehughes is using data. read_csv This dataset gives insights on online orders of a superstore in US Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Blame. Used for validation. An easy tool to edit CSV files online is our CSV Editor . I need this for the purpose of learning Where can I find the global super store. . data = pd. Analyze sales data from a supermarket dataset to uncover insights into customer behavior, product performance, and operational efficiency. The Superstore dataset was downloaded from Kaggle. This corporate style viz is a different take on the classic Tableau Superstore data set. The datasets can be used in any software application compatible with CSV files. Top. read_csv(r'C Feb 18, 2024 · Here’s the source link for the dataset that I have used for this project — superstore. This project’s data is open source, it is the Global Superstore dataset obtained from Kaggle. 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. You signed out in another tab or window. - Wunmi-O/Superstore Refresh. superstore_dataset2011-2015. 3 Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. I need this for the purpose of learning Jul 9, 2021 · Preview last 5 rows. The table contains data on a sample superstore dataset with 9994 rows and 14 columns, including information on ship mode, segment, country, city, state, postal code, region, category, sub-category, sales, quantity, discount, and profit, which can be used to analyze and gain insights into various aspects of the superstore's operations and Mar 30, 2022 · Import superstore dataset using pandas and pass the path to the dataset into read_csv. vbkqyi crinkt dkmvlfx nlfbvzo zbqsvns glj zshl ongf xed konaw