In fiscal year 2025, there were approximately 270 million customer visits each week to Walmart stores throughout the world, up from 255 million on a weekly average a year earlier. Walmart Walmart was founded in 1962 by Sam Walton when he and his brother James “Bud” Walton opened the first Wal-Mart Discount City in Rogers, Arkansas. Since then, Walmart has grown to become the largest publicly-owned retail company in the world. In 2025, the retailer reached around 675 billion U..S. dollars in net sales. Store count Walmart had a total of 10,771 retail stores throughout the world as of January 31, 2025. Compared to 2021, there was a significant drop in the number of stores due to the fact that in the first quarter of fiscal 2022, the company terminated its operations in the United Kingdom and Japan. In the U.S. alone the company totaled 4,605 locations, of which 3,559 were supercenter stores and 691 were neighborhood markets.

Walmart International's sales area amounted to about 274 million square feet as of January 31, 2025. Meanwhile, Walmart U.S. had 698 million and Sam's Club 80 million square feet of retail sales area, respectively.

As of January 31, 2025, Walmart International operated 5,230 retail stores around the world. The total number of Walmart International stores was 5,566 that year. Walmart International operates in Africa, Canada, Central America, Chile, China, India, and Mexico. In Africa, the company primarily resides in South Africa, with other locations in Botswana, Ghana, Kenya, Lesotho, Malawi, Mozambique, Namibia, Nigeria, Swaziland, Tanzania, Uganda and Zambia. Central America covers Costa Rica, El Salvador, Guatemala, Honduras, and Nicaragua. As of January 31, 2022, Walmart ended its operations in Japan and the United Kingdom

Sam's Club operated 600 stores as of January 31, 2025. Sam's Club is a chain of membership-only retail warehouse clubs owned and operated by Walmart. Walmart Walmart was founded in 1962 by Sam Walton when he and his brother James “Bud” Walton opened the first Walmart Discount City in Rogers, Arkansas. Since then, Walmart has grown to become the largest publicly-owned retail company in the world. In the United States, the company includes Walmart discount stores, Supercenters, Neighborhood Markets, and Sam’s Club warehouse membership clubs. The company also has many international operations. Walmart is considered a variety store which focuses on low prices featuring apparel as well as hard goods, and has been committed to upholding their basic value of customer service.Beginning in the early 1990s, Walmart went to great lengths to increase their market share. They introduced a full line of groceries into their stores, diversified their market by appealing to certain ethnic groups through bilingual advertisements, and took steps to promote the awareness of environmental issues. As of 2025, Walmart operated close to 11,000 stores worldwide and these stores generated around 674 billion U.S. dollars in net sales.

In 2025, grocery sales accounted for 59.7 percent of the net sales of Walmart U.S. in the United States. In contrast, only 13.5 percent corresponded to health and wellness. Walmart Walmart was founded in 1962 by Sam Walton when he and his brother James “Bud” Walton opened the first Wal-Mart Discount City in Rogers, Arkansas. Since then, Walmart has grown to become the largest publicly-owned retail company in the world. In the United States, the company includes Walmart discount stores, supercenters, neighborhood markets, and Sam’s Club warehouse membership clubs. Company divisions Walmart deals in a wide variety of products, such as groceries, apparel, furniture, home appliances, and electronics. The company operates through three distinct business segments: Walmart U.S., Walmart International, and Sam’s Club. Walmart’s strongest segment, in terms of revenue, is Walmart U.S., which operates retail stores in the company’s domestic market of the United States. This segment also includes Walmart’s U.S. eCommerce website: walmart.com. In 2025, Walmart U.S. had net sales of 462 billion U.S. dollars.. The company’s Walmart International and Sam’s Club business divisions operate globally generating revenue through retail, wholesale, membership club, and online product sales. As of fiscal year 2025, around 13 percent of Walmart’s net sales came from Sam's Club division.

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Description:

One of the leading retail stores in the US, Walmart, would like to predict the sales and demand accurately. There are certain events and holidays which impact sales on each day. There are sales data available for 45 stores of Walmart. The business is facing a challenge due to unforeseen demands and runs out of stock some times, due to the inappropriate machine learning algorithm. An ideal ML algorithm will predict demand accurately and ingest factors like economic conditions including CPI, Unemployment Index, etc.

Walmart runs several promotional markdown events throughout the year. These markdowns precede prominent holidays, the four largest of all, which are the Super Bowl, Labour Day, Thanksgiving, and Christmas. The weeks including these holidays are weighted five times higher in the evaluation than non-holiday weeks. Part of the challenge presented by this competition is modeling the effects of markdowns on these holiday weeks in the absence of complete/ideal historical data. Historical sales data for 45 Walmart stores located in different regions are available.

Acknowledgements

The dataset is taken from Kaggle.

Objective:

• Understand the Dataset & cleanup (if required).
• Build Regression models to predict the sales w.r.t single & multiple features.
• Also evaluate the models & compare their respective scores like R2, RMSE, etc.

When it comes to share of people who bought groceries at Walmart in the United States, 61 percent of 18 - 29 year olds do so in the U.S. This is according to exclusive insights from the Consumer Insights Global survey which shows that 66 percent of 30 - 49 year old consumers also fall into this category.Statista Consumer Insights offer you all results of our exclusive Statista surveys, based on more than 2,000,000 interviews.

In 2025, Walmart's net income amounted to about 20.16 billion U.S. dollars, up from approximately 16.3 billion registered a year earlier. That year, Walmart's total net sales amounted to around 674 billion U.S. dollars.

Use our constantly updated Walmart products dataset to get a complete snapshot of new products, categories, pricing, and consumer reviews. You may purchase the entire dataset or a customized subset, depending on your needs. Popular use cases: Identify product inventory gaps and increased demand for certain products, analyze consumer sentiment and define a pricing strategy by locating similar products and categories among your competitors. The dataset includes all major data points: product, SKU, GTIN, currency,timestamp, price,a nd more. Get your Walmart dataset today!

In the fiscal year ended January 31, 2025, Walmart's global net sales increased by 5 percent when compared to the previous period. Walmart is a multi-national retail corporation that runs large discount department stores and warehouse stores. The company runs 10,771 retail stores across the globe and operates under three divisions: Walmart U.S., Walmart International, and Sam's Club.

DESCRIPTION

One of the leading retail stores in the US, Walmart, would like to predict the sales and demand accurately. There are certain events and holidays which impact sales on each day. There are sales data available for 45 stores of Walmart. The business is facing a challenge due to unforeseen demands and runs out of stock some times, due to the inappropriate machine learning algorithm. An ideal ML algorithm will predict demand accurately and ingest factors like economic conditions including CPI, Unemployment Index, etc.

Walmart runs several promotional markdown events throughout the year. These markdowns precede prominent holidays, the four largest of all, which are the Super Bowl, Labour Day, Thanksgiving, and Christmas. The weeks including these holidays are weighted five times higher in the evaluation than non-holiday weeks. Part of the challenge presented by this competition is modeling the effects of markdowns on these holiday weeks in the absence of complete/ideal historical data. Historical sales data for 45 Walmart stores located in different regions are available.

**Dataset Description **

This is the historical data that covers sales from 2010-02-05 to 2012-11-01, in the file Walmart_Store_sales. Within this file you will find the following fields:

1. Store - the store number

2. Date - the week of sales

3. Weekly_Sales - sales for the given store

4. Holiday_Flag - whether the week is a special holiday week 1 – Holiday week 0 – Non-holiday week

5. Temperature - Temperature on the day of sale

6. Fuel_Price - Cost of fuel in the region

7. CPI – Prevailing consumer price index

8. Unemployment - Prevailing unemployment rate

Holiday Events

Super Bowl: 12-Feb-10, 11-Feb-11, 10-Feb-12, 8-Feb-13 Labour Day: 10-Sep-10, 9-Sep-11, 7-Sep-12, 6-Sep-13 Thanksgiving: 26-Nov-10, 25-Nov-11, 23-Nov-12, 29-Nov-13 Christmas: 31-Dec-10, 30-Dec-11, 28-Dec-12, 27-Dec-13

Analysis Tasks

Basic Statistics tasks

1. Which store has maximum sales

2. Which store has maximum standard deviation i.e., the sales vary a lot. Also, find out the coefficient of mean to standard deviation

3. Which store/s has good quarterly growth rate in Q3’2012

4. Some holidays have a negative impact on sales. Find out holidays which have higher sales than the mean sales in non-holiday season for all stores together

5. Provide a monthly and semester view of sales in units and give insights

Statistical Model

For Store 1 – Build prediction models to forecast demand

1. Linear Regression – Utilize variables like date and restructure dates as 1 for 5 Feb 2010 (starting from the earliest date in order). Hypothesize if CPI, unemployment, and fuel price have any impact on sales.

2. Change dates into days by creating new variable.

At least since 2006, Walmart has had a stable gross profit margin. In fiscal year 2025, the retailer's global profit margin amounted to 24.1 percent. Walmart deals in a wide variety of products, such as groceries, apparel, furniture, home appliances, and electronics. Walmart, formerly known as Wal-Mart Stores, Inc., is one of the most well-known and valuable brands in the world. Leading retailer in the world Walmart is the largest retailer in the world. The company has discount stores, supercenters, and neighborhood markets all around the world. The company operates through three distinct business segments: Walmart U.S., Walmart International, and Sam’s Club. Walmart is far ahead of its rivals in the global fast-moving consumer goods sector, with nearly 80 billion more on retail sales than its closest competitors. How do other leading retailers compare to Walmart, in terms of gross profit margin? Gross profit margin shows a company’s profitability by showing the profit left over when cost of goods sold are deducted from net sales. This figure is typically given as a percentage of sales. Costco and Kroger are two of Walmart’s leading competitors. Historically, both companies have had a lower gross margin than Walmart.

📌 About the Dataset This dataset contains 50,000 customer transactions from Walmart, capturing essential details about consumer shopping behavior. It includes demographic information, product categories, purchase amounts, discounts, and ratings, making it useful for data analysis, customer segmentation, and sales forecasting.

📊 Dataset Features Customer_ID – Unique identifier for each customer. Age – Age of the customer. Gender – Gender of the customer (Male/Female/Other). City – City where the purchase was made. Category – Product category (e.g., Electronics, Clothing, Groceries). Product_Name – Name of the purchased product. Purchase_Date – Date of purchase. Purchase_Amount – Total amount spent on the purchase. Payment_Method – Mode of payment (Credit Card, Cash, Digital Wallet, etc.). Discount_Applied – Whether a discount was applied (Yes/No). Rating – Customer rating of the purchase (1-5). Repeat_Customer – Whether the customer has purchased before (Yes/No). 🔍 Potential Use Cases ✅ Customer Segmentation – Grouping customers based on age, gender, and purchase patterns. ✅ Market Basket Analysis – Identifying frequently purchased products together. ✅ Sales Forecasting – Predicting future sales trends using time-series analysis. ✅ Customer Loyalty Analysis – Understanding repeat customer behavior. ✅ Discount Impact Analysis – Evaluating how discounts influence purchasing decisions. ✅ Product Performance Evaluation – Analyzing ratings and sales of different products.

Comprehensive dataset tracking Walmart.com's product catalog growth from 300 million to 420+ million items, including marketplace seller counts, international seller demographics, category distribution, and year-over-year growth metrics for the e-commerce industry.

📊 Walmart Stock Price Dataset & Exploratory Data Analysis (EDA)

🏢 About Walmart

Walmart Inc. is a multinational retail corporation that operates a chain of hypermarkets, discount department stores, and grocery stores. It is one of the world's largest companies by revenue and a key player in the retail sector. Walmart's stock is actively traded on major stock exchanges, making it an interesting subject for financial analysis.

📌 Dataset Overview

This dataset contains historical stock price data for Walmart, sourced directly from Yahoo Finance using the yfinance Python API. The data covers daily stock prices and includes multiple key financial indicators.

📊 Features Included in the Dataset

• Date 📅 – The trading day recorded.
• Open Price 🟢 – Price at market open.
• High Price 🔼 – Highest price of the day.
• Low Price 🔽 – Lowest price of the day.
• Close Price 🔴 – Price at market close.
• Adjusted Close Price 📉 – Closing price adjusted for splits & dividends.
• Trading Volume 📈 – Total shares traded.
• Dividends 💰 – Cash payments to shareholders.
• Stock Splits 🔄 – Records stock split events.

🔍 Exploratory Data Analysis (EDA) Steps

This notebook performs an extensive EDA to uncover insights into Walmart's stock price trends, volatility, and overall behavior in the stock market. The following analysis steps are included:

1️⃣ Data Preprocessing & Cleaning

• Load data using Pandas
• Handle missing values (if any)
• Check data types and format them properly
• Convert date column into a datetime format

2️⃣ Descriptive Statistics & Summary

• Calculate key statistical measures like mean, median, standard deviation, and interquartile range (IQR)
• Identify stock price trends over time
• Check data distribution and skewness

3️⃣ Data Visualizations

• 📉 Line Plot – Analyze trends in closing prices over time.
• 📦 Box Plot – Detect potential outliers in stock prices.
• 📊 Histogram – Understand the distribution of closing prices.
• 📈 Moving Averages – Use short-term and long-term moving averages to observe stock trends.
• 🔥 Correlation Heatmap – Find relationships between stock market indicators.

4️⃣ Time Series Analysis

• Identify trends and seasonality in the stock price data.
• Calculate daily, weekly, and monthly returns.
• Use rolling windows to analyze moving averages and volatility.

5️⃣ Insights & Conclusions

• How volatile is Walmart’s stock over the given period?
• Does the stock exhibit strong uptrends or downtrends?
• Are there any strong correlations between features?
• What insights can be drawn for investors and traders?

🚀 Use Cases & Applications

This dataset and analysis can be useful for: - 📡 Stock Market Analysis – Evaluating Walmart’s stock price trends and volatility. - 🏦 Investment Research – Assisting traders and investors in making informed decisions. - 🎓 Educational Purposes – Teaching data science and financial analysis using real-world stock data. - 📊 Algorithmic Trading – Developing trading strategies based on historical stock price trends.

📥 Download the dataset and explore Walmart’s stock performance today! 🚀

Comprehensive dataset analyzing Walmart.com's daily website traffic, including 16.7 million daily visits, device distribution, geographic patterns, and competitive benchmarking data.

Comprehensive YouTube channel statistics for Walmart, featuring 887,000 subscribers and 65,675,586 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Lifestyle category and is based in US. Track 680 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

Walmart de Mexico (Walmex) data including store counts by format, revenue history, market share, employee count and growth trends.

Walmart Cash & Carry Limited recorded an import turnover of USD 8,473.11 million and an export turnover of USD 0 between January 2024 and December 2024. Explore detailed trade value insights, supply chain analytics, HS code-wise data, shipment history, partner countries, customs trade values, top import and export commodities with pricing, buyers, suppliers, ports, and key competitors in Uganda.

Walmart Com recorded an import turnover of USD 0 and an export turnover of USD 47,518.24 million between January 2025 and December 2025. Explore detailed trade value insights, supply chain analytics, HS code-wise data, shipment history, partner countries, customs trade values, top import and export commodities with pricing, buyers, suppliers, ports, and key competitors in null.