diff --git a/DivergingPlot_Panelists.py b/DivergingPlot_Panelists.py
index 719bd45..1469269 100644
--- a/DivergingPlot_Panelists.py
+++ b/DivergingPlot_Panelists.py
@@ -7,236 +7,282 @@
# Very_Good = [62.5,25.0,50.0,32.1,50.0,19.6]
# Excellent =[12.5,23.2,25.0,25.0,12.5,19.6]
-# Poor =1 Fair =2 Satisfactory =3 Very good =4 Excellent=5
+# Poor =1 Fair =2 Satisfactory =3 Very good =4 Excellent=5
# Control Clerity of Codebase of regular developement 10.7 21.4 28.6 19.6 19.6
-# Simplicity of Codebase of regular developement 8.9 12.5 30.4 25.0 23.2
-# Consistency of Codebase of regular developement 12.5 12.5 17.9 32.1 25.0
# Microasking Clerity of codebase of microtask programming 0.0 0.0 37.5 50.0 12.5
+
+# Simplicity of Codebase of regular developement 8.9 12.5 30.4 25.0 23.2
# Simplicity of codebase of microtask programming 0.0 25.0 0.0 62.5 12.5
+
+# Consistency of Codebase of regular developement 12.5 12.5 17.9 32.1 25.0
# Consistency of codebase of microtask programming 12.5 12.5 0.0 50.0 25.0
+# { "order": 1,
+# "question": "-",
+# "type": "Poor",
+# "value": 0,
+# "percentage": 0,
+# "percentage_start": 0,
+# "percentage_end": 0
+# },
+# { "order": 1,
+# "question": "-",
+# "type": "Fair",
+# "value": 0,
+# "percentage": 0,
+# "percentage_start": 0,
+# "percentage_end": 0
+# },
+# { "order": 1,
+# "question": "-",
+# "type": "Satisfactory",
+# "value": 0,
+# "percentage": 0,
+# "percentage_start": 0,
+# "percentage_end": 0
+# },
+# { "order": 1,
+# "question": "-",
+# "type": "Very Good",
+# "value": 0,
+# "percentage": 0,
+# "percentage_start": 0,
+# "percentage_end": 0
+# },
+# { "order": 1,
+# "question": "-",
+# "type": "Excellent",
+# "value": 0,
+# "percentage": 0,
+# "percentage_start": 0,
+# "percentage_end": 0
+# },
+
source = alt.pd.DataFrame([
- {
+
+ { "order": 1,
"question": "Clarity (C)",
"type": "Poor",
- "value": 0,
- "percentage": 0,
- "percentage_start": 0,
- "percentage_end": 0
+ "value": 10.7,
+ "percentage": 10.7,
+ "percentage_start": -32.1,
+ "percentage_end": -21.4
},
- {
+ { "order": 1, "order": 1,
"question": "Clarity (C)",
"type": "Fair",
- "value": 0,
- "percentage": 0,
- "percentage_start": 0,
+ "value": 21.4,
+ "percentage": 21.4,
+ "percentage_start": -21.4,
"percentage_end": 0
},
- {
+ { "order": 1, "order": 1,
"question": "Clarity (C)",
"type": "Satisfactory",
- "value": 1,
- "percentage": 16,
- "percentage_start": -8,
- "percentage_end": 8
+ "value": 28.6,
+ "percentage":28.6,
+ "percentage_start": 0,
+ "percentage_end": 28.6
},
- {
+ { "order": 1,
"question": "Clarity (C)",
"type": "Very Good",
- "value": 5,
- "percentage": 83,
- "percentage_start": 8,
- "percentage_end": 91
+ "value": 19.6,
+ "percentage": 19.6,
+ "percentage_start": 28.6,
+ "percentage_end": 48.2
},
- {
+ { "order": 1,
"question": "Clarity (C)",
"type": "Excellent",
- "value": 0,
- "percentage": 0,
- "percentage_start": 91,
- "percentage_end": 91
+ "value": 19.6,
+ "percentage": 19.6,
+ "percentage_start": 48.2,
+ "percentage_end": 67.8
},
- {
+ { "order": 1,
"question": "Clarity (E)",
"type": "Poor",
- "value": 1,
- "percentage": 16,
- "percentage_start": -49,
- "percentage_end": -33
+ "value": 0,
+ "percentage": 0,
+ "percentage_start": 0,
+ "percentage_end": 0
},
- {
+ { "order": 1,
"question": "Clarity (E)",
"type": "Fair",
"value": 0,
"percentage": 0,
- "percentage_start": -33,
- "percentage_end": -33
+ "percentage_start": 0,
+ "percentage_end": 0
},
- {
+ { "order": 1,
"question": "Clarity (E)",
"type": "Satisfactory",
- "value": 4,
- "percentage": 66,
- "percentage_start": -33,
- "percentage_end": 33
+ "value": 37.5,
+ "percentage": 37.5,
+ "percentage_start": 0,
+ "percentage_end": 37.5
},
- {
+ { "order": 1,
"question": "Clarity (E)",
"type": "Very Good",
- "value": 0,
- "percentage": 0,
- "percentage_start": 33,
- "percentage_end": 33
+ "value": 50,
+ "percentage": 50,
+ "percentage_start": 37.5,
+ "percentage_end": 87.5
},
- {
+ { "order": 1,
"question": "Clarity (E)",
"type": "Excellent",
- "value": 1,
- "percentage": 16,
- "percentage_start": 33,
- "percentage_end": 49
+ "value": 12.5,
+ "percentage": 12.5,
+ "percentage_start": 87.5,
+ "percentage_end": 100
},
- {
+
+
+ { "order": 1,
"question": "Consistency (C)",
"type": "Poor",
- "value": 0,
- "percentage": 0,
- "percentage_start": 0,
- "percentage_end": 0
+ "value": 12.5,
+ "percentage": 12.5,
+ "percentage_start": -12.5,
+ "percentage_end": -25
},
- {
+ { "order": 1,
"question": "Consistency (C)",
"type": "Fair",
- "value": 0,
- "percentage": 0,
+ "value": 12.5,
+ "percentage": 12.5,
"percentage_start": 0,
- "percentage_end": 0
+ "percentage_end": -12.5
},
- {
+ { "order": 1,
"question": "Consistency (C)",
"type": "Satisfactory",
- "value": 0,
- "percentage": 0,
+ "value": 17.9,
+ "percentage": 17.9,
"percentage_start": 0,
- "percentage_end": 0
+ "percentage_end": 17.9
},
- {
+ { "order": 1,
"question": "Consistency (C)",
"type": "Very Good",
- "value": 5,
- "percentage": 83,
- "percentage_start": 0,
- "percentage_end": 83
+ "value": 32.1,
+ "percentage": 32.1,
+ "percentage_start": 17.9,
+ "percentage_end": 50
},
- {
+ { "order": 1,
"question": "Consistency (C)",
"type": "Excellent",
- "value": 1,
- "percentage": 17,
- "percentage_start": 83,
- "percentage_end": 100
+ "value": 25,
+ "percentage": 25,
+ "percentage_start": 50,
+ "percentage_end": 75
},
- {
+ { "order": 2,
"question": "Consistency (E)",
"type": "Poor",
- "value": 1,
- "percentage": 17,
- "percentage_start": -58,
- "percentage_end": -75
+ "value": 12.5,
+ "percentage": 12.5,
+ "percentage_start": - 12.5,
+ "percentage_end": -25
},
- {
+ { "order": 2,
"question": "Consistency (E)",
"type": "Fair",
- "value": 2,
- "percentage": 3,
- "percentage_start": -58,
- "percentage_end": -25
+ "value": 12.5,
+ "percentage": 12.5,
+ "percentage_start": 0,
+ "percentage_end": -12.5
},
- {
+ { "order": 2,
"question": "Consistency (E)",
"type": "Satisfactory",
- "value": 3,
- "percentage": 50,
- "percentage_start": -25,
- "percentage_end": 25
+ "value": 0,
+ "percentage": 0,
+ "percentage_start": 0,
+ "percentage_end": 0
},
- {
+ { "order": 2,
"question": "Consistency (E)",
"type": "Very Good",
- "value": 0,
- "percentage": 0,
- "percentage_start": 25,
- "percentage_end": 25
+ "value": 50,
+ "percentage": 50,
+ "percentage_start": 0,
+ "percentage_end": 50
},
- {
+ { "order": 2,
"question": "Consistency (E)",
"type": "Excellent",
- "value": 0,
- "percentage": 0,
- "percentage_start": 25,
- "percentage_end": 25
+ "value": 25,
+ "percentage": 25,
+ "percentage_start": 50,
+ "percentage_end": 75
},
- {
+ { "order": 1,
"question": "Simplicity (C)",
"type": "Poor",
- "value": 1,
- "percentage": 17,
- "percentage_start": 0,
- "percentage_end": -17
+ "value": 8.9,
+ "percentage": 8.9,
+ "percentage_start": -12.5,
+ "percentage_end": -21.4
},
- {
+ { "order": 1,
"question": "Simplicity (C)",
"type": "Fair",
- "value": 0,
- "percentage": 0,
+ "value": 12.5,
+ "percentage": 12.5,
"percentage_start": 0,
- "percentage_end": 0
+ "percentage_end": -12.5
},
- {
+ { "order": 1,
"question": "Simplicity (C)",
"type": "Satisfactory",
- "value": 0,
- "percentage": 0,
+ "value": 30.4,
+ "percentage": 30.4,
"percentage_start": 0,
- "percentage_end": 0
+ "percentage_end": 30.4
},
- {
+ { "order": 1,
"question": "Simplicity (C)",
"type": "Very Good",
- "value": 5,
- "percentage": 83,
- "percentage_start": 0,
- "percentage_end": 83
+ "value": 25,
+ "percentage": 25,
+ "percentage_start": 30.4,
+ "percentage_end": 55.4
},
- {
+ { "order": 1,
"question": "Simplicity (C)",
"type": "Excellent",
- "value": 0,
- "percentage": 0,
- "percentage_start": 83,
- "percentage_end": 83
+ "value": 23.2,
+ "percentage": 23.2,
+ "percentage_start": 55.4,
+ "percentage_end":78.6
},
- {
+ { "order": 1,
"question": "Simplicity (E)",
"type": "Poor",
"value": 0,
"percentage": 0,
- "percentage_start": -17,
- "percentage_end": -17
+ "percentage_start": 0,
+ "percentage_end": 0
},
- {
+ { "order": 1,
"question": "Simplicity (E)",
"type": "Fair",
- "value": 1,
- "percentage": 17,
+ "value": 25,
+ "percentage": 25,
"percentage_start": 0,
- "percentage_end": -17
+ "percentage_end": -25
},
- {
+ { "order": 1,
"question": "Simplicity (E)",
"type": "Satisfactory",
"value": 0,
@@ -244,21 +290,21 @@
"percentage_start": 0,
"percentage_end": 0
},
- {
+ { "order": 1,
"question": "Simplicity (E)",
"type": "Very Good",
- "value": 4,
- "percentage": 66,
+ "value": 62.5,
+ "percentage": 62.5,
"percentage_start": 0,
- "percentage_end": 66
+ "percentage_end": 62.5
},
- {
+ { "order": 1,
"question": "Simplicity (E)",
"type": "Excellent",
- "value": 1,
- "percentage": 17,
- "percentage_start": 66,
- "percentage_end": 83
+ "value": 12.5,
+ "percentage": 12.5,
+ "percentage_start": 62.5,
+ "percentage_end": 75
}
])
@@ -270,28 +316,16 @@
"Very Good",
"Excellent"
],
- range=["#c30d24", "#f3a583", "#cccccc", "#94c6da", "#1770ab"]
+ range=["#ff6361", "#ffa600", "#bc5090", "#58508d", "#003f5c"]
)
-y_axis = alt.Axis(
- title='',
- offset=5,
- ticks=False,
- minExtent=60,
- domain=False
-)
+y_axis = alt.Axis( title='', offset=5, ticks=False, minExtent=60, domain=False)
-chart =alt.Chart(source).mark_bar().encode(
- x='percentage_start:Q',
- x2='percentage_end:Q',
- y=alt.Y('question:N', axis=y_axis),
- color=alt.Color(
- 'type:N',
- legend=alt.Legend(title='Response',orient='top'),
- scale=color_scale,
- )
-).configure_view(strokeWidth=0)
+chart =alt.Chart(source,width=600,height=300).mark_bar().encode(x='percentage_start:Q',x2='percentage_end:Q', y=alt.Y('question:N', axis=y_axis),
+ color=alt.Color( 'type:N', legend=alt.Legend(title='',orient='top'), scale=color_scale,
+ )).properties(title='Quality of code of control (C) and experimental (E) groups').configure_view(strokeWidth=0)
+ # .configure_axis(labelFontSize=20, titleFontSize=20).configure_title(fontSize=20)
chart.show()
# chart.save('filename.pdf')
\ No newline at end of file
diff --git a/DivergingStackedBar_QOS.py b/DivergingStackedBar_QOS.py
index d540a31..f97396a 100644
--- a/DivergingStackedBar_QOS.py
+++ b/DivergingStackedBar_QOS.py
@@ -270,7 +270,7 @@
)
-chart =alt.Chart(source).mark_bar().encode(
+chart =alt.Chart(source,width=600,height=300).mark_bar().encode(
x='percentage_start:Q',
x2='percentage_end:Q',
y=alt.Y('question:N', axis=y_axis),
diff --git a/Onboarding.py b/Onboarding.py
index 65a6889..49c936c 100644
--- a/Onboarding.py
+++ b/Onboarding.py
@@ -15,25 +15,26 @@
FirstLOCWidth = np.add(tutorial, training_task).tolist()
firstTaskWidth = np.add(first_loc, FirstLOCWidth).tolist()
# careful: notice "bottom" parameter became "left"
-
+# plt.figure(figsize=(5,7))
p0 = plt.barh(participants, training_task, color="#ffa600")
p1 = plt.barh(participants, tutorial,left=training_task, color="#ff6361")
p2 = plt.barh(participants, first_loc, left=FirstLOCWidth, color="#58508d")
p3 = plt.barh(participants, first_task, left=firstTaskWidth, color="#003f5c")
# we also need to switch the labels 003f5c
-plt.xlabel('Time in minutes')
+plt.xlabel('Time in minutes', fontsize=12)
# plt.ylabel('Participants of controlled(Ci) and experimental(Ei) groups')
plt.legend((p0[0],p1[0], p2[0], p3[0]),
('Training task', '\n'.join(wrap('Beginning of session until starting the first task', 25)),
'\n'.join(wrap('Start first task/issue until writing first LOC', 25)),
'\n'.join(wrap('Start first task/issue until finishing it', 25))
- ))
-plt.title('Onboarding time of control(Ci) and experimental(Ei) participants')
-plt.subplots_adjust(left=0.15, right=0.96, top=0.95, bottom=0.1)
+ ), fontsize=11)
+plt.title( 'Onboarding time of control(Ci) and experimental(Ei) participants', fontsize=13)
+plt.subplots_adjust(left=0.19, right=0.89, top=0.87, bottom=0.1)
# remove the frame
plt.gca().spines['right'].set_visible(False)
plt.gca().spines['top'].set_visible(False)
+# plt.figure(figsize=(5,5))
diff --git a/QOC.py b/QOC.py
index aeb7952..e91cd5c 100644
--- a/QOC.py
+++ b/QOC.py
@@ -27,7 +27,7 @@
# plt.ylabel('Participants of controlled(Ci) and experimental(Ei) groups')
plt.legend((p1[0], p2[0],p3[0],p4[0],p5[0]), ('Poor', 'Fairs','Satisfactory','Very Good','Excellent'),loc='lower left',
bbox_to_anchor=(0,1.02,1, 0.2),mode='expand',ncol=5,borderaxespad=0)
-plt.title('Quality of code by control (C) and experimental (E) groups',y=1.09)
+plt.title('Quality of code of control (C) and experimental (E) groups',y=1.09)
plt.subplots_adjust(left=0.1, right=0.9, top=0.9, bottom=0.1)
plt.gca().spines['right'].set_visible(False)
plt.gca().spines['top'].set_visible(False)
diff --git a/SVGtoPDF.py b/SVGtoPDF.py
index d479f60..e6558d2 100644
--- a/SVGtoPDF.py
+++ b/SVGtoPDF.py
@@ -2,5 +2,7 @@
from reportlab.graphics import renderPDF, renderPM
-drawing = svg2rlg("./data/visualization_1.svg")
-renderPDF.drawToFile(drawing, "./data/QuestionVisualized.pdf")
\ No newline at end of file
+drawing = svg2rlg("./data/Panelists.svg")
+renderPDF.drawToFile(drawing, "./data/Panelists2.pdf")
+# drawing = svg2rlg("./data/Qos.svg")
+# renderPDF.drawToFile(drawing, "./data/Qos.pdf")
\ No newline at end of file
diff --git a/data/Panelists.pdf b/data/Panelists.pdf
new file mode 100644
index 0000000..554d208
Binary files /dev/null and b/data/Panelists.pdf differ
diff --git a/data/Panelists.svg b/data/Panelists.svg
new file mode 100644
index 0000000..18786d2
--- /dev/null
+++ b/data/Panelists.svg
@@ -0,0 +1 @@
+
\ No newline at end of file
diff --git a/data/Panelists2.pdf b/data/Panelists2.pdf
new file mode 100644
index 0000000..7ad7c50
Binary files /dev/null and b/data/Panelists2.pdf differ
diff --git a/data/Qos.pdf b/data/Qos.pdf
new file mode 100644
index 0000000..2073c14
Binary files /dev/null and b/data/Qos.pdf differ
diff --git a/data/Qos.svg b/data/Qos.svg
new file mode 100644
index 0000000..fd84814
--- /dev/null
+++ b/data/Qos.svg
@@ -0,0 +1 @@
+
\ No newline at end of file
diff --git a/data/onboading.pdf b/data/onboading.pdf
index 647aaa4..42fca28 100644
Binary files a/data/onboading.pdf and b/data/onboading.pdf differ