boxplot code

Author: saelyne

.DS_Store

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+# import pandas
+import pandas as pd
+# import matplotlib
+import matplotlib.pyplot as plt
+# import seaborn
+import seaborn as sns
+
+import numpy as np
+
+
+fig, axes = plt.subplots(1, 2)
+
+axes[0].set_title('Helpfulness')
+axes[1].set_title('Importance')
+
+data_list = ['saelyne_data_helpfulness.csv', 'saelyne_data_importance.csv']
+
+
+for i, filename in enumerate(data_list):
+	axes[i].set_ylim([0, 5.5])
+
+	df = pd.read_csv(filename, sep='\t')
+
+	df_values = df.loc[:, df.columns != 'Task']
+	df_melt = pd.melt(df_values)
+
+	num_col = len(df_values.columns)
+	df_task = df.iloc[:, 0]
+	df_task = pd.concat([df_task] * num_col, ignore_index=True)
+
+
+	df_melt['Task'] = df_task.values
+
+	axes[i].set_xticklabels(df_values.columns, rotation=45)
+
+	ax = sns.boxplot(ax=axes[i], x="variable", y="value", data=df_melt, 
+	                 palette="Set2", hue="Task")
+	ax.set(ylabel=None, xlabel=None)
+	ax.legend(ncol=3)
+
+fig.tight_layout(pad=2.0)
+
+plt.show()

analysis/.DS_Store

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+Task	Greeting	Overview	Method	Supplementary	Explanation	Description	Conclusion	Misc
+Summary	5	5	5	5	5	5	5	5
+Summary	1	3	5	4	4	4	2	1
+Summary	5	5	5	5	4	5	5	5
+Summary	5	5	5	5	5	5	5	5
+Summary	5	5	5	5	5	4	5	5
+Summary	5	5	5	5	5	5	5	5
+Summary	3	3	5	3	4	4	4	4
+Summary	5	5	5	5	5	5	5	5
+Summary	5	5	5	5	5	5	5	5
+Follow	1	4	5	3	4	3	1	1
+Follow	1	1	5	3	4	3	1	1
+Follow	5	5	5	5	5	5	5	5
+Follow	5	5	5	5	5	5	5	5
+Follow	5	5	5	5	5	5	5	5
+Follow	3	4	5	5	5	4	5	5
+Follow	5	4	5	4	5	4	4	5
+Follow	5	5	5	5	5	5	5	5
+Follow	5	5	5	5	5	5	5	5

analysis/user_study/saelyne_boxplot.py

@@ -0,0 +1,19 @@
+Task	Greeting	Overview	Method	Supplementary	Explanation	Description	Conclusion	Misc
+Summary	2	5	5	3	4	3	3	1
+Summary	1	4	5	4	4	5	2	1
+Summary	2	3	5	4	4	4	2	1
+Summary	1	2	5	2	2	3	1	1
+Summary	1	5	5	2	2	1	5	1
+Summary	1	4	5	4	2	3	3	1
+Summary	1	5	5	4	4	3	4	1
+Summary	1	4	4	4	4	4	3	1
+Summary	1	5	5	3	4	4	2	1
+Follow	1	5	5	5	5	4	2	1
+Follow	1	1	5	3	4	3	1	1
+Follow	1	4	5	4	1	5	4	1
+Follow	1	2	5	5	5	3	1	1
+Follow	1	4	5	5	5	4	1	1
+Follow	3	4	5	5	5	5	4	1
+Follow	5	5	5	3	5	4	5	1
+Follow	1	5	5	3	3	3	3	1
+Follow	1	4	5	4	4	4	4	1