Data cleaning is the process of removing or repairing errors, and normalizing data used in computer programs.
I have two questions concerning the clean method on a modelform. Here is my example: class AddProfileForm(ModelForm): ... password = forms.…
django overriding modelform data-cleaningI extracted tweets from twitter using the twitteR package and saved them into a text file. I have carried out …
r twitter text-mining data-cleaningI want to clean one column of my df['emp_length'] [shown in the screen shot]1 but when I use …
python pandas dataframe strip data-cleaningI am dealing with pandas DataFrames like this: id x 0 1 10 1 1 20 2 2 100 3 2 200 4 1 NaN 5 2 NaN 6 1 300 7 1 NaN I would like to replace each NAN …
python pandas nan missing-data data-cleaningI have a database where old code likes to insert '0000-00-00' in Date and DateTime columns instead …
mysql datetime date data-cleaningI have a data frame data_df with multiple columns, one of which is c which holds country names. How …
python pandas subset data-cleaningI am using django-sentry to track errors in a website. My problem is that the database has grown too big. …
django sentry data-cleaningI'm attempting to use Python 2.7.5 to clean up a malformed CSV file. The CSV file is fairly large (over 1GB). …
python csv data-cleaning malformedQuestion: How can you use R to remove all special characters from a dataframe, quickly and efficiently? Progress: This SO …
r data-science data-cleaningI am trying to select only factor columns from my data frame. Example is below: bank[,apply(bank[,names(bank)!="…
r dataframe data-science data-cleaning