Split the Built Up Type & Built Up Area Size into two separate columns, i.e. Built_Type & Built_Size, and show the top 5 rows of the dataframe to view the effect

dsns_datablog_3.js

# define the function to split Size into an array of two differnt values
def split_property_size(size, tp=0):
    try:
        return size.split(":")[tp].strip()
    except AttributeError:
        return size

#create a new column with the buildup type
df["Built_Type"] = df['Size'].astype(str).apply(split_property_size, tp=0)
df["Built_Type"].value_counts(dropna=False)

df["Built_Size"] = df['Size'].apply(split_property_size, tp=1)
df["Built_Size"].value_counts(dropna=False)

df.head()