The average price of a basic food basket in the united States amounted to just over *** U.S. dollars as of January 2023, increasing by nearly **** percent from the previous year. Back in 2019, the average value of a food basket was around ***** U.S. dollars.

Representative items within the Consumer Prices Index including owner occupiers' housing costs, Consumer Prices Index and Retail Prices Index for the basket of goods and services.

This table contains 2013 series, with data for years 1914 - 1997 (not all combinations necessarily have data for all years), and was last released on 2010-03-19. This table contains data described by the following dimensions (Not all combinations are available): Geography (29 items: Canada; St. John's; Newfoundland and Labrador; Newfoundland and Labrador ...), Commodities and commodity groups (298 items: All-items; Food; Food purchased from stores ...).

Basket weights of major components, gasoline, and selected special aggregates of the Consumer Price Index (CPI) basket, for Canada, provinces, Whitehorse, Yellowknife and Iqaluit, last 5 years of the CPI basket. Includes price period of the weights as either weights at basket link month prices or weights at basket reference period prices. Weights are shown in percentage terms.

Mexico Consumer Price Index (CPI): Basic Basket data was reported at 151.803 Jun2002=100 in Dec 2010. This records an increase from the previous number of 151.367 Jun2002=100 for Nov 2010. Mexico Consumer Price Index (CPI): Basic Basket data is updated monthly, averaging 49.496 Jun2002=100 from Jan 1982 (Median) to Dec 2010, with 348 observations. The data reached an all-time high of 151.803 Jun2002=100 in Dec 2010 and a record low of 0.145 Jun2002=100 in Jan 1982. Mexico Consumer Price Index (CPI): Basic Basket data remains active status in CEIC and is reported by Bank of Mexico. The data is categorized under Global Database’s Mexico – Table MX.I013: Consumer Price Index: Core: 2002=100.

In 2023, the U.S. Consumer Price Index was 309.42, and is projected to increase to 352.27 by 2029. The base period was 1982-84. The monthly CPI for all urban consumers in the U.S. can be accessed here. After a time of high inflation, the U.S. inflation rateis projected fall to two percent by 2027. United States Consumer Price Index ForecastIt is projected that the CPI will continue to rise year over year, reaching 325.6 in 2027. The Consumer Price Index of all urban consumers in previous years was lower, and has risen every year since 1992, except in 2009, when the CPI went from 215.30 in 2008 to 214.54 in 2009. The monthly unadjusted Consumer Price Index was 296.17 for the month of August in 2022. The U.S. CPI measures changes in the price of consumer goods and services purchased by households and is thought to reflect inflation in the U.S. as well as the health of the economy. The U.S. Bureau of Labor Statistics calculates the CPI and defines it as, "a measure of the average change over time in the prices paid by urban consumers for a market basket of consumer goods and services." The BLS records the price of thousands of goods and services month by month. They consider goods and services within eight main categories: food and beverage, housing, apparel, transportation, medical care, recreation, education, and other goods and services. They aggregate the data collected in order to compare how much it would cost a consumer to buy the same market basket of goods and services within one month or one year compared with the previous month or year. Given that the CPI is used to calculate U.S. inflation, the CPI influences the annual adjustments of many financial institutions in the United States, both private and public. Wages, social security payments, and pensions are all affected by the CPI.

In 2024, the most expensive sales channel in Poland was e-grocery (on average, *** zloty for a basket purchased online), exceeding the price of the most costly discount supermarket chain — Netto, by over ***** zloty. The lowest average shopping basket price in this period was in Auchan and amounted to *** zloty, an increase of ** percent compared to the previous year.

The basic food basket in Brazil takes into account the prices of 13 food products that are necessary to guarantee, for one month, the sustenance of an adult worker. In June 2025, the Brazilian city with the highest value of the basic food basket was São Paulo, with a value of over 882.76 Brazilian reals. By contrast, the city with the lowest basket price was Aracaju, with approximately 557.28 Brazilian reals.

The average shopping basket value in Poland amounted to over *** zloty in 2024, increasing from the previous year. The situation is relatively different for pricing in the online channel, where the prices were higher by over ** zloty.

In June 2024, both types of food baskets were higher in the urban region. The food basket plus non-food was worth 147.51 Mexican pesos in the urban area, while in the rural area it was worth 106.59 pesos.

This table contains 2002 series, with data for years 1914 - 2006 (not all combinations necessarily have data for all years), and was last released on 2010-03-19. This table contains data described by the following dimensions (Not all combinations are available): Geography (30 items: Canada; Newfoundland and Labrador; St. John's; Newfoundland and Labrador ...), Commodities and commodity groups (279 items: All-items; Food; Food purchased from stores ...).

This table contains 11 series, with data for years 1978 - 1997 (not all combinations necessarily have data for all years), and was last released on 2010-03-19. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Commodities and commodity groups (11 items: All-items; All-items excluding food and energy; Food; All-items excluding food ...).

The Consumer Price Index (CPI) is a measure of the average change over time in the prices paid by urban consumers for a market basket of consumer goods and services. Indexes are available for the U.S. and various geographic areas. Average price data for select utility, automotive fuel, and food items are also available. Prices for the goods and services used to calculate the CPI are collected in 75 urban areas throughout the country and from about 23,000 retail and service establishments. Data on rents are collected from about 43,000 landlords or tenants. More information and details about the data provided can be found at http://www.bls.gov/cpi

Market Basket Analysis

Market basket analysis with Apriori algorithm

The retailer wants to target customers with suggestions on itemset that a customer is most likely to purchase .I was given dataset contains data of a retailer; the transaction data provides data around all the transactions that have happened over a period of time. Retailer will use result to grove in his industry and provide for customer suggestions on itemset, we be able increase customer engagement and improve customer experience and identify customer behavior. I will solve this problem with use Association Rules type of unsupervised learning technique that checks for the dependency of one data item on another data item.

Introduction

Association Rule is most used when you are planning to build association in different objects in a set. It works when you are planning to find frequent patterns in a transaction database. It can tell you what items do customers frequently buy together and it allows retailer to identify relationships between the items.

An Example of Association Rules

Assume there are 100 customers, 10 of them bought Computer Mouth, 9 bought Mat for Mouse and 8 bought both of them. - bought Computer Mouth => bought Mat for Mouse - support = P(Mouth & Mat) = 8/100 = 0.08 - confidence = support/P(Mat for Mouse) = 0.08/0.09 = 0.89 - lift = confidence/P(Computer Mouth) = 0.89/0.10 = 8.9 This just simple example. In practice, a rule needs the support of several hundred transactions, before it can be considered statistically significant, and datasets often contain thousands or millions of transactions.

Strategy

• Data Import
• Data Understanding and Exploration
• Transformation of the data – so that is ready to be consumed by the association rules algorithm
• Running association rules
• Exploring the rules generated
• Filtering the generated rules
• Visualization of Rule

Dataset Description

• File name: Assignment-1_Data
• List name: retaildata
• File format: . xlsx
• Number of Row: 522065

• Number of Attributes: 7

  • BillNo: 6-digit number assigned to each transaction. Nominal.
  • Itemname: Product name. Nominal.
  • Quantity: The quantities of each product per transaction. Numeric.
  • Date: The day and time when each transaction was generated. Numeric.
  • Price: Product price. Numeric.
  • CustomerID: 5-digit number assigned to each customer. Nominal.
  • Country: Name of the country where each customer resides. Nominal.

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Libraries in R

First, we need to load required libraries. Shortly I describe all libraries.

• arules - Provides the infrastructure for representing, manipulating and analyzing transaction data and patterns (frequent itemsets and association rules).
• arulesViz - Extends package 'arules' with various visualization. techniques for association rules and item-sets. The package also includes several interactive visualizations for rule exploration.
• tidyverse - The tidyverse is an opinionated collection of R packages designed for data science.
• readxl - Read Excel Files in R.
• plyr - Tools for Splitting, Applying and Combining Data.
• ggplot2 - A system for 'declaratively' creating graphics, based on "The Grammar of Graphics". You provide the data, tell 'ggplot2' how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details.
• knitr - Dynamic Report generation in R.
• magrittr- Provides a mechanism for chaining commands with a new forward-pipe operator, %>%. This operator will forward a value, or the result of an expression, into the next function call/expression. There is flexible support for the type of right-hand side expressions.
• dplyr - A fast, consistent tool for working with data frame like objects, both in memory and out of memory.
• tidyverse - This package is designed to make it easy to install and load multiple 'tidyverse' packages in a single step.

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Data Pre-processing

Next, we need to upload Assignment-1_Data. xlsx to R to read the dataset.Now we can see our data in R.

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After we will clear our data frame, will remove missing values.

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To apply Association Rule mining, we need to convert dataframe into transaction data to make all items that are bought together in one invoice will be in ...

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.

Consumer Price Index (CPI): Staple Food Basket: Distrito Federal: Brasília data was reported at 782.650 BRL in Mar 2025. This records an increase from the previous number of 772.300 BRL for Feb 2025. Consumer Price Index (CPI): Staple Food Basket: Distrito Federal: Brasília data is updated monthly, averaging 284.285 BRL from Jan 2001 (Median) to Mar 2025, with 290 observations. The data reached an all-time high of 782.650 BRL in Mar 2025 and a record low of 113.440 BRL in Feb 2001. Consumer Price Index (CPI): Staple Food Basket: Distrito Federal: Brasília data remains active status in CEIC and is reported by Trade Union Statistical Department. The data is categorized under Brazil Premium Database’s Inflation – Table BR.IB059: Consumer Price Index: Staple Food Basket.