C. Conduct a left join using name_clean_2 as the join column where the left hand dataframe isjobs; right hand dataframe is debar_clean, store the result as a dataframe, and print the rows where the merge indicator indicates the row was found in both dataframe
Note: this manual cleaning process is inefficient and helps motivate the fuzzy matching we'll cover in future week or optional OH; that fuzzy matching would recognize that Slash EV ranch is a highly similar string to slash ev ranch llp and match them without us needing to use regex to make the strings identical
2.4 More joins and more cleaning (5 points)
C. Conduct a left join using
name_clean_2as the join column where the left hand dataframe isjobs; right hand dataframe isdebar_clean, store the result as a dataframe, and print the rows where the merge indicator indicates the row was found in both dataframeNote: this manual cleaning process is inefficient and helps motivate the fuzzy matching we'll cover in future week or optional OH; that fuzzy matching would recognize that Slash EV ranch is a highly similar string to slash ev ranch llp and match them without us needing to use regex to make the strings identical