I will be studying NUC (Next Unit of Computing) computers on the amazon.de. I will be analyzing 400 computers that appear in the search results when searching for the term nuc.
The table obdelani_podatki/nuci.csv contains the following information:
- Its ID (string)
- The description with which the NUC is presented on Amazon (
string) - The price (
float) - The value of the coupon that can be redeemed when purchasing the device (
float) - The SSD of the computer (extracted with regular expressions from the description) (
int) - The RAM of the computer (extracted with regular expressions from the description) (
int) - The rating (
float) - Whether the NUC is sponsored (
bool) - The manufacturer of the computer (
string) - The operating system of the computer (extracted with regular expressions from the description) (
string)
The data is organized in the following way in the other auxiliary files:
In the file obdelani_podatki/operacijski_sistem.csv:
- ID of the operating system
- Name of the operating system
In the file obdelani_podatki/proizvajalci.csv:
- ID of the NUC producer
- Name of the NUC producer
In the file obdelani_podatki/ram.csv se nahajajo:
- ID of the RAM
- Quantity of RAM under this ID
In the file obdelani_podatki/ssd.csv se nahajajo:
- ID of the SSD
- Quantity of SSD under this ID
Working hypotheses:
- At a similar price, are Intel's NUCs (which are supposed to be the leaders in this category) comparable to the others? How many computers does intel sell compared to all other manufacturers?
- How does the price of a NUC increase with increasing RAM and SSD?
- How does delivery time vary between computers? How does delivery time affect its rating?
- How are the various data attributes (price, coupon value, number of ratings, delivery time, ...) correlated with each other?
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