Data
features-and-price-of-computer-components

features-and-price-of-computer-components

active ARFF CC0: Public Domain Visibility: public Uploaded 24-03-2022 by Elif Ceren Gok
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Context The most common website that provided computer hardware components we chose the Newegg website it has hardware systems, Buy PC Parts, Laptops, Electronics More. Now Shipping to Saudi Arabia! Track Order and more with fast shipping. to determine which the best component with the best price here we can provide you this dataset. Content Implement the Web scraping by using the python language and using selenium on python, to extract the data from newegg that contain CPU, GPU, power, ram, monitor, storage the data contains: the brand name items_Decribtion ratings prices Category (CPU, GPU,motherboard, ram, powersuplly, storage ) Acknowledgements Thank you for the MISK academy and general assembly for guiding us. Inspiration we recommend using EDA to clean data and also recommend to build model predictive price or build assumption analysis

6 features

Unnamed:_0numeric920 unique values
0 missing
brand_namestring27 unique values
276 missing
items_Decribtionstring2386 unique values
0 missing
ratingsstring227 unique values
1003 missing
pricesstring1695 unique values
286 missing
Categorystring7 unique values
0 missing

19 properties

2705
Number of instances (rows) of the dataset.
6
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
1565
Number of missing values in the dataset.
1023
Number of instances with at least one value missing.
1
Number of numeric attributes.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
16.67
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
37.82
Percentage of instances having missing values.
Average class difference between consecutive instances.
9.64
Percentage of missing values.

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