Data cleaning is the process of removing or repairing errors, and normalizing data used in computer programs.
In Python, I have a pandas DataFrame similar to the following: Item | shop1 | shop2 | shop3 | Category ------------------------------------ Shoes| 45 | 50 | 53 | Clothes TV | 200 | 300 | 250 | …
python pandas dataframe pivot data-cleaningList with attributes of persons loaded into pandas dataframe df2. For cleanup I want to replace value zero (0 or '0…
python pandas dataframe data-cleaningI have a dataframe, df, that has some columns of type float64, while the others are of object. Due to …
python pandas dataframe data-cleaningApplying pandas.to_numeric to a dataframe column which contains strings that represent numbers (and possibly other unparsable strings) results …
python pandas data-science data-cleaningI am doing a data cleaning exercise on python and the text that I am cleaning contains Italian words which …
python data-science data-cleaningI am trying to use dplyr::case_when within dplyr::mutate to create a new variable where I set some …
r dplyr data-cleaningI have data with IDs which may or may not have all values present. I want to delete ONLY the …
stata data-cleaningI am having a dataframe that contains columns named id, country_name, location and total_deaths. While doing data cleaning …
python pandas replace carriage-return data-cleaningI have a dataframe with columns having values like: "Average 18.24" "Error 23.34". My objective is to replace the text and following …
regex r data-cleaningI'm still relatively new to Pyspark. I use version 2.1.0. I'm trying to clean some data on a much larger data …
pyspark data-cleaning