fixed some chart title

tools/statistics/analyse/age.py

@@ -9,8 +9,8 @@ def analyse(datas: list[dict]):
     ages_data = list(map(extract.age.extract, datas))
 
     counter = Counter(ages_data)
-    ages_x = list(counter.keys())
+    x = list(counter.keys())
-    ages_y = list(counter.values())
+    y = list(counter.values())
 
     # prepare plotting
     figure: plt.Figure = plt.figure()
@@ -18,6 +18,6 @@ def analyse(datas: list[dict]):
     axes.set_title("Nombre de personne par âge")
 
     # bar chart
-    axes.bar(ages_x, ages_y)
+    axes.bar(x, y)
 
     plt.show(block=True)

tools/statistics/analyse/completion_per_age.py

@@ -22,8 +22,8 @@ def analyse(datas: list[dict]):
             if extract.mission_completed.extract(data, survey):
                 ages_completion[age] += 1
 
-    ages_x = list(ages_completion.keys())
+    x = list(ages_completion.keys())
-    ages_y = (
+    y = (
         np.array(list(ages_completion.values()))
         / np.array(list(ages_count.values()))
     )
@@ -34,6 +34,6 @@ def analyse(datas: list[dict]):
     axes.set_title("Nombre moyen de mission complété par âge")
 
     # bar chart
-    axes.bar(ages_x, ages_y)
+    axes.bar(x, y)
 
     plt.show(block=True)

tools/statistics/analyse/completion_per_experience.py

@@ -20,8 +20,8 @@ def analyse(datas: list[dict]):
             if extract.mission_completed.extract(data, survey):
                 experience_completion[experience] += 1
 
-    ages_x = list(experience_completion.keys())
+    x = list(experience_completion.keys())
-    ages_y = (
+    y = (
         np.array(list(experience_completion.values()))
         / np.array(list(experience_count.values()))
     )
@@ -32,6 +32,6 @@ def analyse(datas: list[dict]):
     axes.set_title("Nombre moyen de mission complété par expérience")
 
     # bar chart
-    axes.bar(ages_x, ages_y)
+    axes.bar(x, y)
 
     plt.show(block=True)

tools/statistics/analyse/completion_per_mission.py

@@ -28,8 +28,8 @@ def analyse(datas: list[dict]):
             if extract.mission_completed.extract(data, survey):
                 completions[survey] += 1
 
-    completions_x = list(completions.keys())
+    x = list(completions.keys())
-    completions_y = list(completions.values())
+    y = list(completions.values())
 
     # prepare plotting
     figure: plt.Figure = plt.figure()
@@ -37,8 +37,8 @@ def analyse(datas: list[dict]):
     axes.set_title("Nombre de personne ayant réussi par mission")
 
     # bar chart
-    axes.bar(completions_x, completions_y)
+    axes.bar(x, y)
-    axes.set_xticks(completions_x)
+    axes.set_xticks(x)
-    axes.set_xticklabels(completions_x, rotation=45)
+    axes.set_xticklabels(x, rotation=45)
 
     plt.show(block=True)

tools/statistics/analyse/completion_per_usage.py

@@ -24,8 +24,8 @@ def analyse(datas: list[dict]):
             if extract.mission_completed.extract(data, survey):
                 usage_completion[usage] += 1
 
-    usages_x = list(usage_completion.keys())
+    x = list(usage_completion.keys())
-    usages_y = (
+    y = (
         np.array(list(usage_completion.values()))
         / np.array(list(usage_count.values()))
     )
@@ -36,6 +36,6 @@ def analyse(datas: list[dict]):
     axes.set_title("Nombre moyen de mission complété par niveau")
 
     # bar chart
-    axes.bar(usages_x, usages_y)
+    axes.bar(x, y)
 
     plt.show(block=True)

tools/statistics/analyse/duration_per_age.py

@@ -23,8 +23,8 @@ def analyse(datas: list[dict]):
 
             ages_duration[age] += extract.mission_duration.extract(data, survey)
 
-    ages_x = list(ages_duration.keys())
+    x = list(ages_duration.keys())
-    ages_y = (
+    y = (
         np.array(list(ages_duration.values()))
         / np.array(list(ages_count.values()))
     )
@@ -35,6 +35,6 @@ def analyse(datas: list[dict]):
     axes.set_title("Temps moyen passé par âge")
 
     # bar chart
-    axes.bar(ages_x, ages_y)
+    axes.bar(x, y)
 
     plt.show(block=True)

tools/statistics/analyse/duration_per_experience.py

@@ -20,8 +20,8 @@ def analyse(datas: list[dict]):
             if extract.mission_completed.extract(data, survey):
                 experience_duration[experience] += extract.mission_duration.extract(data, survey)
 
-    ages_x = list(experience_duration.keys())
+    x = list(experience_duration.keys())
-    ages_y = (
+    y = (
         np.array(list(experience_duration.values()))
         / np.array(list(experience_count.values()))
     )
@@ -32,6 +32,6 @@ def analyse(datas: list[dict]):
     axes.set_title("Temps moyen passé par expérience")
 
     # bar chart
-    axes.bar(ages_x, ages_y)
+    axes.bar(x, y)
 
     plt.show(block=True)

tools/statistics/analyse/duration_per_mission.py

@@ -29,8 +29,8 @@ def analyse(datas: list[dict]):
 
             durations[survey] += extract.mission_duration.extract(data, survey)
 
-    durations_x = list(durations.keys())
+    x = list(durations.keys())
-    durations_y = np.array(list(durations.values())) / len(datas)
+    y = np.array(list(durations.values())) / len(datas)
 
     # prepare plotting
     figure: plt.Figure = plt.figure()
@@ -38,8 +38,8 @@ def analyse(datas: list[dict]):
     axes.set_title("Temps moyen passé par test")
 
     # bar chart
-    axes.bar(durations_x, durations_y)
+    axes.bar(x, y)
-    axes.set_xticks(durations_x)
+    axes.set_xticks(x)
-    axes.set_xticklabels(durations_x, rotation=45)
+    axes.set_xticklabels(x, rotation=45)
 
     plt.show(block=True)

tools/statistics/analyse/duration_per_usage.py

@@ -21,8 +21,8 @@ def analyse(datas: list[dict]):
 
             usage_completion[usage] += extract.mission_duration.extract(data, survey)
 
-    ages_x = list(usage_completion.keys())
+    x = list(usage_completion.keys())
-    ages_y = (
+    y = (
         np.array(list(usage_completion.values()))
         / np.array(list(usage_count.values()))
     )
@@ -33,6 +33,6 @@ def analyse(datas: list[dict]):
     axes.set_title("Temps moyen passé par niveau")
 
     # bar chart
-    axes.bar(ages_x, ages_y)
+    axes.bar(x, y)
 
     plt.show(block=True)

tools/statistics/analyse/usage.py

@@ -10,15 +10,15 @@ def analyse(datas: list[dict]):
     for usage in usage_data:
         usages[usage] += 1
 
-    usages_x = list(usages.keys())
+    x = list(usages.keys())
-    usages_y = list(usages.values())
+    y = list(usages.values())
 
     # prepare plotting
     figure: plt.Figure = plt.figure()
     axes = figure.add_subplot(1, 1, 1)
-    axes.set_title("Expérience des personnes sondées")
+    axes.set_title("Expérience antérieure des personnes sondées")
 
     # bar chart
-    axes.bar(usages_x, usages_y)
+    axes.bar(x, y)
 
     plt.show(block=True)

tools/statistics/main.py

@@ -15,17 +15,17 @@ if __name__ == "__main__":
         for file in directory.rglob("*.rsl")
     ]
 
-    # age.analyse(datas)
+    age.analyse(datas)
-    # usage.analyse(datas)
+    usage.analyse(datas)
-    # experience.analyse(datas)
+    experience.analyse(datas)
-    # hardest_mission.analyse(datas)  # !
+    hardest_mission.analyse(datas)
 
-    # completion_per_mission.analyse(datas)
+    completion_per_mission.analyse(datas)
-    # completion_per_age.analyse(datas)
+    completion_per_age.analyse(datas)
-    # completion_per_usage.analyse(datas)  # !
+    completion_per_usage.analyse(datas)
-    # completion_per_experience.analyse(datas)
+    completion_per_experience.analyse(datas)
 
-    # duration_per_mission.analyse(datas)
+    duration_per_mission.analyse(datas)
-    # duration_per_age.analyse(datas)
+    duration_per_age.analyse(datas)
-    # duration_per_usage.analyse(datas)  # !
+    duration_per_usage.analyse(datas)
-    # duration_per_experience.analyse(datas)  # !
+    duration_per_experience.analyse(datas)