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()
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()
