Name: Ethereum Effect Impact On PC Parts Prices
Creator: Kaggle
License: https://creativecommons.org/licenses/by-sa/4.0/

About this Dataset

Ethereum Effect Impact On PC Parts Prices

Project is not maintained anymore and probably will never be again. Whole python code used for data scrapping is pasted into a notebook attached to this project. I'm sorry for the inconvenience.

Context

Data warehouse has been created as a University project throughout 3 months (march - may 2018).

I haven't find any useful databases containing historical prices of many computer parts (CPUs, GPUs and RAMs), so I had to web scrap it from web prices comparison engines:

For webscrapping I've used Python with BeautifulSoup library as well as PCPartPicker-API.

Stuff that I'd like to add but I have no time to do it:

Compare RAM prices with raising demand for memory chips in smartphones industry and Data Centers for cloud computing
Scrap more price comparison engines
Add new dimension for DIM_PROD_GPU -> Series. I've made it too shallow and my analysis wasn't so great, additional step between Manufacturer and Product Name would make it easier for analytics.

Content

Database contains data about:

15 most popular cryptocurrencies and their rates
1664 CPU Products
2054 GPU Products
3706 RAM Products
6 000 000+ records containing products historical prices

Acknowledgements

Few redditers who helped me to find some libraries and datasets to get inspired with.

My request post on r/datasets

Inspiration

As a gamer I've seen a huge prices spikes on a GPU market and as I haven't find too many analysis about this phenomenon and because it's very fresh I thought that might be a good topic to make a Uni project for a Data Warehouse course.

Photo Source

I release this data online so it won't waste. Maybe you will find some more interesting results that I did.

Installation

Uploaded csv files have been dumped from my data warehouse. Below you can see whole ERD diagram

Only difference: DIM_REGION contains one additional column that I didn't include in my data warehouse

Tables

Dim Cpu Prod

@kaggle.raczeq_ethereum_effect_pc_parts.dim_cpu_prod

27.97 kB
1,664 rows
6 columns

CREATE TABLE dim_cpu_prod (
  "id" BIGINT,
  "manufacturer" VARCHAR,
  "series" VARCHAR,
  "cpu_name" VARCHAR,
  "cores" BIGINT,
  "socket" VARCHAR
);

Dim Crypto Data

@kaggle.raczeq_ethereum_effect_pc_parts.dim_crypto_data

3.65 kB
15 rows
4 columns

CREATE TABLE dim_crypto_data (
  "id" BIGINT,
  "code" VARCHAR,
  "currency_name" VARCHAR,
  "is_mineable" BIGINT
);

Dim Gpu Prod

@kaggle.raczeq_ethereum_effect_pc_parts.dim_gpu_prod

22.33 kB
2,054 rows
6 columns

CREATE TABLE dim_gpu_prod (
  "id" BIGINT,
  "processor_manufacturer" VARCHAR,
  "processor" VARCHAR,
  "gpu_manufacturer" VARCHAR,
  "memory_capacity" DOUBLE,
  "memory_type" VARCHAR
);

Dim Merchant

@kaggle.raczeq_ethereum_effect_pc_parts.dim_merchant

3.56 kB
81 rows
2 columns

CREATE TABLE dim_merchant (
  "id" BIGINT,
  "merchant" VARCHAR
);

Dim Region

@kaggle.raczeq_ethereum_effect_pc_parts.dim_region

2.74 kB
11 rows
3 columns

CREATE TABLE dim_region (
  "id" BIGINT,
  "code" VARCHAR,
  "currency" VARCHAR
);

Dim Time

@kaggle.raczeq_ethereum_effect_pc_parts.dim_time

15.14 kB
1,847 rows
5 columns

CREATE TABLE dim_time (
  "id" BIGINT,
  "year" BIGINT,
  "month" BIGINT,
  "day" BIGINT,
  "week" BIGINT
);

Fact Cpu Price

@kaggle.raczeq_ethereum_effect_pc_parts.fact_cpu_price

20.63 MB
1,605,191 rows
6 columns

CREATE TABLE fact_cpu_price (
  "prodid" BIGINT,
  "timeid" BIGINT,
  "regionid" BIGINT,
  "merchantid" BIGINT,
  "price_usd" DOUBLE,
  "price_original" DOUBLE
);

Fact Crypto Rate

@kaggle.raczeq_ethereum_effect_pc_parts.fact_crypto_rate

412.97 kB
15,844 rows
6 columns

CREATE TABLE fact_crypto_rate (
  "codeid" BIGINT,
  "timeid" BIGINT,
  "open" DOUBLE,
  "close" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE
);

Fact Gpu Price

@kaggle.raczeq_ethereum_effect_pc_parts.fact_gpu_price

12.93 MB
997,156 rows
6 columns

CREATE TABLE fact_gpu_price (
  "prodid" BIGINT,
  "timeid" BIGINT,
  "regionid" BIGINT,
  "merchantid" BIGINT,
  "price_usd" DOUBLE,
  "price_original" DOUBLE
);

Fact Ram Price

@kaggle.raczeq_ethereum_effect_pc_parts.fact_ram_price

43.97 MB
3,412,331 rows
6 columns

CREATE TABLE fact_ram_price (
  "prodid" BIGINT,
  "timeid" BIGINT,
  "regionid" BIGINT,
  "merchantid" BIGINT,
  "price_usd" DOUBLE,
  "price_original" DOUBLE
);