Improving Data Quality Reviews

Nikhil M. · Reviewed over 1 year ago

ahmed m. · Reviewed over 1 year ago

Bagus S. · Reviewed over 1 year ago

JOSAFAT E. · Reviewed over 1 year ago

Matías F. · Reviewed over 1 year ago

Mario O. · Reviewed over 1 year ago

Sai kumar S. · Reviewed over 1 year ago

tharindu b. · Reviewed over 1 year ago

Khaled A. · Reviewed over 1 year ago

Prakash V. · Reviewed over 1 year ago

Austin H. · Reviewed over 1 year ago

Sachin U. · Reviewed over 1 year ago

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