def plot_overall_rating(): # reviews = extractor.pre_process_reviews() reviews = ETLUtils.load_json_file('/Users/fpena/tmp/filtered_reviews.json') data_frame = DataFrame(reviews) print(data_frame) DataPlotter.plot_data(data_frame, 'overall_rating', plot_type='bar', title='Overall Rating') # DataPlotter.plot_data(data_frame, 'cleanliness_rating', plot_type='bar', title='Cleanliness Rating') # DataPlotter.plot_data(data_frame, 'location_rating', plot_type='bar', title='Location Rating') # DataPlotter.plot_data(data_frame, 'rooms_rating', plot_type='bar', title='Rooms Rating') # DataPlotter.plot_data(data_frame, 'service_rating', plot_type='bar', title='Service Rating') # DataPlotter.plot_data(data_frame, 'value_rating', plot_type='bar', title='Value Rating') plt.show()