데이터

작성일자 : 2023-10-30 Ver 0.1.1 33 ~ 100 문제 풀이 : https://youtu.be/00rctVVSSoA?si=Du3KDMiQeHq7Gp-F 5. Time Series¶주가 데이터 : https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/06_Stats/Wind_Stats/wind.data DataUrl = 'https://raw.githubusercontent.com/Datamanim/pandas/main/timeTest.csv' In [1]: import pandas as pd In [53]: df7 = pd.read_csv('https://raw.githubusercontent.com/Datamanim/..

작성일자 : 2023-10-30 Ver 0.1.1 33 ~ 100 문제 풀이 : https://youtu.be/00rctVVSSoA?si=Du3KDMiQeHq7Gp-F 3. Grouping¶뉴욕 airBnB : https://www.kaggle.com/ptoscano230382/air-bnb-ny-2019 DataUrl = 'https://raw.githubusercontent.com/Datamanim/pandas/main/AB_NYC_2019.csv' In [1]: import pandas as pd In [3]: df5 = pd.read_csv('https://raw.githubusercontent.com/Datamanim/pandas/main/AB_NYC_2019.csv') df5.head() Ou..

작성일자 : 2023-10-30 Ver 0.1.1 1 ~ 32 문제 풀이 : https://youtu.be/PxTIbZJ3xrA?si=VnVsvEjvH9sRM_mS 33 ~ 100 문제 풀이 : https://youtu.be/00rctVVSSoA?si=Du3KDMiQeHq7Gp-F In [31]: import pandas as pd from sklearn.preprocessing import MinMaxScaler 2. Filtering & Sorting¶ Q20. 데이터를 로드하라. URL : https://raw.githubusercontent.com/Datamanim/pandas/main/chipo.csv In [ ]: df3 = pd.read_csv('https://raw.githubusercon..

작성일자 : 2023-10-30 Ver 0.1.1 33 ~ 100 문제 풀이 : https://youtu.be/00rctVVSSoA?si=Du3KDMiQeHq7Gp-F 4. Apply, Map¶카드이용데이터 : https://www.kaggle.com/sakshigoyal7/credit-card-customers DataUrl = 'https://raw.githubusercontent.com/Datamanim/pandas/main/BankChurnersUp.csv' In [100]: import pandas as pd Q56. 데이터를 로드하고 데이터 행과 열의 갯수를 출력하라 In [107]: df6 = pd.read_csv('https://raw.githubusercontent.com/Datamani..