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Kaggle3

[04] Jobs and Salaries in Data Science 04. Job and Salaries in Data Science 출처: https://www.kaggle.com/datasets/hummaamqaasim/jobs-in-data Jobs and Salaries in Data Science Salary Trends in Data-Related Careers www.kaggle.com 1. 데이터 불러오기 '데이터'와 관련된 직종의 임금 트렌드를 나타낸 데이터로, (9355, 12)의 크기를 갖고 있다. import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns #데이터 불러오기 df = pd.read_csv('/kaggle/input/jobs-in-.. 2024. 1. 25.
[02] Real Estate Dataset 02. Real Estate Dataset 출처: https://www.kaggle.com/datasets/arnoldkakas/real-estate-dataset/data Real Estate Dataset Explore Spatial dynamics, Price, and Quality of Apartments in Slovakia (11/23) www.kaggle.com 1. 데이터 불러오기 import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns df = pd.read_csv('/kaggle/input/real-estate-dataset/Real Estate Dataset.csv',sep='.. 2024. 1. 18.
[01] Apple Quality 01. Apple Quality 출처: https://www.kaggle.com/datasets/nelgiriyewithana/apple-quality Apple Quality Explore the World of Fruits www.kaggle.com 1. 데이터 불러오기 import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns df = pd.read_csv('/kaggle/input/apple-quality/apple_quality.csv') df.head() 판다스를 활용해서 데이터를 불러오면 먼저 데이터의 헤드를 보며 어떤 데이터인지 대략적으로 파악한다. 캐글에서 제공되는 데이터는 Feat.. 2024. 1. 18.