Improving Data Quality Reviews

Дмитро В. · Reviewed over 1 year ago

美貴 米. · Reviewed over 1 year ago

Ganapathi V. · Reviewed over 1 year ago

Tirasak S. · Reviewed over 1 year ago

冠云 罗. · Reviewed over 1 year ago

Cheryl C. · Reviewed over 1 year ago

df_transport.rename(columns = { 'Date': 'date', 'Zip Code': 'zipcode', 'Model Year': 'modelyear', 'Fuel': 'fuel', 'Make': 'make', 'Light_Duty': 'lightduty','Vehicles': 'vehicles'}) では列名が変更できておらず、続く df = df_transport.loc[df_transport.modelyear != '<2006'].copy() がエラーになってしまう。 df['modelyear'].value_counts(0) 以降も同様に実行することができず、演習を最後まで実施できなかった。

Masato N. · Reviewed over 1 year ago

I gave it 5 stars because it demonstrates the mundane nature of using Pandas to clean data files. If you don't know Pandas, it will be difficult to do some of this but you can do it in one of two ways, boring or fun. The boring way is to copy the solution and the fun way is to enable the Gemini API and ask Gemini to write the Python code for you - this is the modern way to develop software.

Michael E. · Reviewed over 1 year ago

Alejandro C. · Reviewed over 1 year ago

Furkan K. · Reviewed over 1 year ago

Sean W. · Reviewed over 1 year ago

Adrien G. · Reviewed over 1 year ago

Steven R. · Reviewed over 1 year ago

Roy A. · Reviewed over 1 year ago

Manikanda Gokul A. · Reviewed over 1 year ago

Matt V. · Reviewed over 1 year ago

Ivan B. · Reviewed over 1 year ago

Marc-André B. · Reviewed over 1 year ago

Muhammad H. · Reviewed over 1 year ago

Yutaka T. · Reviewed over 1 year ago

Jamie L. · Reviewed over 1 year ago

Sana S. · Reviewed over 1 year ago

ok

Santosh S. · Reviewed over 1 year ago

I liked it, it was fun!

Francesca L. · Reviewed over 1 year ago

Connor D. · Reviewed over 1 year ago