def analyze_data(time_interval=TimeInterval, refined_type=FullyPreprocessedPath):
print 'time_interval: ' + str(time_interval) + ' min'
print 'refined_type: ' + refined_type
print '--------------------------------------------'
# Draw graphs and save the figures
graph_directory = Graph.Save.raw_data2graph()
# Refine the data and save
refined_data_path = Preprocess.refining_data(time_interval, refined_type)
# Build similarity model and save
Similarity.Build.similarity_model(time_interval, refined_type)
# Set data for visualization
Visualization.set_data4visualization(time_interval, refined_type)
