Consumer Price Index CPI in the United States increased to 324.80 points in September from 323.98 points in August of 2025. This dataset provides the latest reported value for - United States Consumer Price Index (CPI) - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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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.

Consumer Price Index CPI in Sri Lanka decreased to 193.40 points in November from 193.80 points in October of 2025. This dataset provides - Sri Lanka Consumer Price Index (CPI) - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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Gold fell to 4,199.97 USD/t.oz on December 2, 2025, down 0.75% from the previous day. Over the past month, Gold's price has risen 4.93%, and is up 58.92% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gold - values, historical data, forecasts and news - updated on December of 2025.

The Producer Price Index (PPI) is a family of indexes that measures the average change over time in selling prices received by domestic producers of goods and services. PPIs measure price change from the perspective of the seller. This contrasts with other measures, such as the Consumer Price Index (CPI), that measure price change from the purchaser's perspective. Sellers' and purchasers' prices may differ due to government subsidies, sales and excise taxes, and distribution costs. There are three main PPI classification structures which draw from the same pool of price information provided to the BLS by cooperating company reporters: Industry classification. A Producer Price Index for an industry is a measure of changes in prices received for the industry's output sold outside the industry (that is, its net output). The PPI publishes approximately 535 industry price indexes in combination with over 4,000 specific product line and product category sub-indexes, as well as, roughly 500 indexes for groupings of industries. North American Industry Classification System (NAICS) index codes provide comparability with a wide assortment of industry-based data for other economic programs, including productivity, production, employment, wages, and earnings. Commodity classification. The commodity classification structure of the PPI organizes products and services by similarity or material composition, regardless of the industry classification of the producing establishment. This system is unique to the PPI and does not match any other standard coding structure. In all, PPI publishes more than 3,700 commodity price indexes for goods and about 800 for services (seasonally adjusted and not seasonally adjusted), organized by product, service, and end use. Commodity-based Final Demand-Intermediate Demand (FD-ID) System. Commodity-based FD-ID price indexes regroup commodity indexes for goods, services, and construction at the subproduct class (six-digit) level, according to the type of buyer and the amount of physical processing or assembling the products have undergone. The PPI publishes over 600 FD-ID indexes (seasonally adjusted and not seasonally adjusted) measuring price change for goods, services, and construction sold to final demand and to intermediate demand. The FD-ID system replaced the PPI stage-of-processing (SOP) system as PPI's primary aggregation model with the release of data for January 2014. The FD-ID system expands coverage in its aggregate measures beyond that of the SOP system by incorporating indexes for services, construction, exports, and government purchases. For more information, visit: https://www.bls.gov/ppi

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All data compiled into this dataset is available under public domain. This set is designed to provide some insight into sales trends across the state of Connecticut as well as the individual towns within. It is also specifically structured to highlight changes in trends due to the COVID-19 pandemic.

Variables

list_year: grand list year of the property (grand list years run from Oct. 1 through Sept. 30). town: name of the town that the property was sold in. population: population of the town that the property was sold in. residential_type: single family, two family, three family, four family, or condo. month: the month the sale was recorded. year: the year the sale was recorded. in_pandemic: boolean value indicating whether the selling date was after March 11, 2020. assessed_value: tax assessed value of the property at the time of the sale. sale_amount: final closing sale amount of the property. price_index: the Consumer Price Index (CPI) for that month/year. Used to normalize dollar values. norm_assessed_value: CPI-normalized assessed value (assessed_value / price_index * 100). norm_sale_amount: CPI-normalized sale amount (sale_amount / price_index * 100). norm_sales_ratio: CPI-normalized assessment to sale ratio (norm_assessed_value / norm_sale_amount). latitude: latitude for the property's town. longitude: longitude for the property's town.

Note: the original dataset also contained the street address and exact sale date for each record. Those variables were removed as they were not relevant to the analysis being conducted and to afford the individuals associated with each sale a stonger degree of personal privacy. Records from October 2000 to October 2010 from the original dataset were omitted due to timeliness issues. Records of non-residential types were omitted as they lacked enough historic records to be of consequence to the analysis.

Data sources

Real estate records: https://data.ct.gov/Housing-and-Development/Real-Estate-Sales-2001-2020-GL/5mzw-sjtu Township shapes: https://data.ct.gov/Government/Town-Boundary-Index-Map/evyv-fqzg Consumer price index: https://www.bls.gov/regions/new-england/data/consumerpriceindex_us_table.htm Town populations: https://www.connecticut-demographics.com/cities_by_population

Consumer Price Index CPI in Spain increased to 119.30 points in October from 118.49 points in September of 2025. This dataset provides the latest reported value for - Spain Consumer Price Index (CPI) - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Inflation Rate in Sri Lanka remained unchanged at 2.10 percent in November. This dataset provides - Sri Lanka Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Inflation Rate in South Africa increased to 3.60 percent in October from 3.40 percent in September of 2025. This dataset provides - South Africa Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Conventional retail stores still play a prominent role in a world dominated by Ecommerce. Retail is the process of selling consumer goods or services to customers through multiple channels of distribution to earn a profit. From groceries to clothing to electronics, customers keep flooding the gates of retail stores to satisfy their needs. As time has passed, retailers have had to evolve in order to keep up with changes in demands and the ever-changing mindset of customers. One such retail industry juggernaut that has kept up with the demands of customers as well changed the face of the retail industry for the better is Walmart Inc.

Walmart Inc is an American multinational retail corporation that operates a chain of hypermarkets, discount department stores, and grocery stores, headquartered in Bentonville, Arkansas. They have many stores across the globe and it is the largest retail company by revenue.

We have historical sales data for 45 Walmart stores located in different regions. Each store contains a number of departments. Apart from these, weekly data of Fuel price, Holiday, Temperature with some other features are also present in the data set.

In addition, Walmart runs several promotional markdown events throughout the year. These markdowns precede prominent holidays, the four largest of 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.

Data consists of 421570 records of weekly sales from stores spanning between ’05-Feb-2010’ to ’26-Oct-2012’. This comprises of 143 Weeks of sales data.

Total 16 numbers of attributes are provided in the Data set including Target variable. Attribute definition is: Store: The store number Size: Size of the Store Dept: Department of the Store Date: Specifying the Week (Friday of every Week) Temperature: Average temperature in the region (in ℉) FuelPrice: Cost of fuel in the region MarkDown1-5: Anonymized data related to promotional markdowns that Walmart is running. Markdown data is only available after November 2011, and is not available for all stores all the time. Any missing value is marked with Null. CPI: Consumer price index Unemployment: Unemployment rate IsHoliday: Whether the week is a special holiday week

Using the above given features, we have to predict the weekly sales of the store with given parameters.

Large white, Grade A chicken eggs, sold in a carton of a dozen. Includes organic, non-organic, cage free, free range, and traditional."

Cost of food in Canada increased 3.40 percent in October of 2025 over the same month in the previous year. This dataset provides the latest reported value for - Canada Food Inflation - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The Consumer Price Index in India increased 0.15 percent in October of 2025 over the previous month. This dataset provides - India Inflation Rate MoM- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Initial Jobless Claims in the United States decreased to 216 thousand in the week ending November 22 of 2025 from 222 thousand in the previous week. This dataset provides the latest reported value for - United States Initial Jobless Claims - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.