Data Science, Science, Research, Text Mining, Hands On Tutorials.
flattened_list ] counter_ = Counter( flattened_list ) words_this_year = [ ( item , frequency/Ntitles , mapping_[key_] ) for item, frequency in counter_.items() if frequency/Ntitles >= .005 ] global_word_list.extend(words_this_year) # Plot results as clustermap global_word_df =