cpu_price: CPU Specifications and Market Prices
In liver: Toolkit and Datasets for Data Science
cpu_price R Documentation
CPU Specifications and Market Prices
Description
A dataset containing detailed specifications, integrated graphics availability,
and market price information for a range of computer processors (CPUs).
It includes hardware characteristics such as core counts, thread counts,
clock speeds, cache size, and thermal design power (TDP), along with price
data. The dataset is suitable for studying price-to-performance trade-offs
across different CPU models.
Usage
data(cpu_price)
Format
A data frame with 45 observations and 12 variables:
- model
The model name of the processor.
- brand
The brand of the CPU: "AMD" or "Intel".
- gpu
Whether the CPU includes integrated graphics: "yes" or "no".
- architecture
The microarchitecture or generation family of the CPU.
- base_ghz
The base operating frequency of the CPU in gigahertz.
- boost_ghz
The maximum turbo or boost frequency of the CPU in gigahertz.
- p_cores
The number of performance cores (P-cores).
- e_cores
The number of efficiency cores (E-cores).
- threads
The number of logical threads the CPU can execute simultaneously.
- cache
The total cache size in megabytes.
- tdp
The typical thermal design power (TDP) of the CPU in watts under standard load conditions.
- price
The approximate retail market price of the CPU in US dollars.
Details
The dataset was assembled to support exploratory and predictive analyses
of CPU pricing. For example, it can be used in regression models relating
CPU price to processor characteristics such as clock speed, thread count,
graphics support, and brand.
Source
The dataset was collected by the package authors. Hardware specifications
are based on publicly available manufacturer information. Price data was
collected through Google searches during Spring 2026 and reflects approximate
retail market prices at that time.
References
Reza Mohammadi (2025). Data Science Foundations and Machine Learning with R: From Data to Decisions. https://book-data-science-r.netlify.app.
See Also
bike_demand,
mortgage,
bank,
churn_mlc,
churn,
churn_tel,
adult,
cereal,
advertising,
marketing,
drug,
house,
house_price,
red_wines,
white_wines,
insurance,
caravan,
fertilizer,
corona
Examples
data(cpu_price)
str(cpu_price)
summary(cpu_price)
liver documentation built on April 7, 2026, 9:07 a.m.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| cpu_price | R Documentation |
CPU Specifications and Market Prices
Description
A dataset containing detailed specifications, integrated graphics availability, and market price information for a range of computer processors (CPUs). It includes hardware characteristics such as core counts, thread counts, clock speeds, cache size, and thermal design power (TDP), along with price data. The dataset is suitable for studying price-to-performance trade-offs across different CPU models.
Usage
data(cpu_price)
Format
A data frame with 45 observations and 12 variables:
- model
The model name of the processor.
- brand
The brand of the CPU:
"AMD"or"Intel".- gpu
Whether the CPU includes integrated graphics:
"yes"or"no".- architecture
The microarchitecture or generation family of the CPU.
- base_ghz
The base operating frequency of the CPU in gigahertz.
- boost_ghz
The maximum turbo or boost frequency of the CPU in gigahertz.
- p_cores
The number of performance cores (P-cores).
- e_cores
The number of efficiency cores (E-cores).
- threads
The number of logical threads the CPU can execute simultaneously.
- cache
The total cache size in megabytes.
- tdp
The typical thermal design power (TDP) of the CPU in watts under standard load conditions.
- price
The approximate retail market price of the CPU in US dollars.
Details
The dataset was assembled to support exploratory and predictive analyses of CPU pricing. For example, it can be used in regression models relating CPU price to processor characteristics such as clock speed, thread count, graphics support, and brand.
Source
The dataset was collected by the package authors. Hardware specifications are based on publicly available manufacturer information. Price data was collected through Google searches during Spring 2026 and reflects approximate retail market prices at that time.
References
Reza Mohammadi (2025). Data Science Foundations and Machine Learning with R: From Data to Decisions. https://book-data-science-r.netlify.app.
See Also
bike_demand,
mortgage,
bank,
churn_mlc,
churn,
churn_tel,
adult,
cereal,
advertising,
marketing,
drug,
house,
house_price,
red_wines,
white_wines,
insurance,
caravan,
fertilizer,
corona
Examples
data(cpu_price)
str(cpu_price)
summary(cpu_price)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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