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# Датасет # Датасет
Продажи домов в округе Кинг Продажи домов в округе Кинг
Ссылка на датасет: [House Sales](https://www.kaggle.com/datasets/harlfoxem/housesalesprediction). Ссылка на датасет: [House Sales](https://www.kaggle.com/datasets/harlfoxem/housesalesprediction).
# Для лабораторной работы 2
Выбраны следующие три датасета
Цены на бриллианты
Ссылка на датасет: [Diamonds Prices](https://www.kaggle.com/datasets/nancyalaswad90/diamonds-prices).
Цены на ноутбуки
Ссылка на датасет: [Laptop Price](https://www.kaggle.com/datasets/muhammetvarl/laptop-price).
Зарплаты сотрудникам DataScientist
Ссылка на датасет: [Data Scientists Salary](https://www.kaggle.com/datasets/henryshan/2023-data-scientists-salary?resource=download).

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asttokens==2.4.1
colorama==0.4.6
comm==0.2.2
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cycler==0.12.1
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decorator==5.1.1
executing==2.1.0
fonttools==4.53.1
ipykernel==6.29.5
ipython==8.27.0
jedi==0.19.1
jupyter_client==8.6.3
jupyter_core==5.7.2
kiwisolver==1.4.7
matplotlib==3.9.2
matplotlib-inline==0.1.7
nest-asyncio==1.6.0
numpy==2.1.1
packaging==24.1
pandas==2.2.2
parso==0.8.4
pillow==10.4.0
platformdirs==4.3.6
prompt_toolkit==3.0.47
psutil==6.0.0
pure_eval==0.2.3
Pygments==2.18.0
pyparsing==3.1.4
python-dateutil==2.9.0.post0
pytz==2024.2
pywin32==306
pyzmq==26.2.0
seaborn==0.13.2
six==1.16.0
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wcwidth==0.2.13

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asttokens==2.4.1
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comm==0.2.2
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debugpy==1.8.5
decorator==5.1.1
executing==2.1.0
fonttools==4.53.1
ipykernel==6.29.5
ipython==8.27.0
jedi==0.19.1
jupyter_client==8.6.3
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platformdirs==4.3.6
prompt_toolkit==3.0.47
psutil==6.0.0
pure_eval==0.2.3
Pygments==2.18.0
pyparsing==3.1.4
python-dateutil==2.9.0.post0
pytz==2024.2
pywin32==306
pyzmq==26.2.0
seaborn==0.13.2
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comm==0.2.2
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executing==2.1.0
fonttools==4.53.1
ipykernel==6.29.5
ipython==8.27.0
jedi==0.19.1
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pyparsing==3.1.4
python-dateutil==2.9.0.post0
pytz==2024.2
pywin32==306
pyzmq==26.2.0
seaborn==0.13.2
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numpy==2.1.1
packaging==24.1
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pure_eval==0.2.3
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python-dateutil==2.9.0.post0
pytz==2024.2
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