def _build_test_graph(name):
if name == 'mean':
score_data = stats.get_mean_score_nth_test()
data = stats.group_by_points(score_data, y_max=1.0, y_min=0.0)
chart = charts.MultiLineChart(data,
y_axis=(0, 1, 0.1),
data_name='grouped')
chart.add_data('raw', score_data)
return chart
elif name == 'volume':
user_data = stats.get_users_by_n_tests()
return charts.LineChart(user_data)
elif name == 'length':
return charts.PieChart(stats.get_test_length_volume())
elif name == 'normtime':
user_data = stats.get_score_over_norm_time()
return charts.LineChart(user_data)
elif name == 'time':
base_data = stats.get_score_over_time()
data = stats.approximate(base_data)
chart = charts.MultiLineChart(data,
y_axis=(0, 1.05, 0.1),
data_name='approximate')
chart.add_data('raw', base_data)
two_colours = charts.color_desc(2).split(',')
three_colours = ','.join(
(two_colours[0], two_colours[1], two_colours[1]))
chart['chco'] = three_colours
return chart
elif name == 'dropout':
return charts.LineChart(stats.get_mean_score_by_n_tests())
elif name == 'firstlast':
data = stats.get_first_last_test()
hist_data = stats.histogram(data,
n_bins=11,
normalize=False,
x_min=-0.5,
x_max=0.5)
chart = charts.LineChart(hist_data,
data_name='histogram',
x_axis=(-0.5, 0.5, 0.1))
chart.add_data('raw', data)
return chart
raise KeyError(name)
def _build_time_graph(name):
if name == "betweentests":
data = stats.get_time_between_tests()
hist_data = stats.log_histogram(data, start=1.0 / (24 * 60))
chart = charts.LineChart(hist_data, data_name="histogram")
chart.add_data("raw", [(x,) for x in data])
return chart
elif name == "sessions":
data = stats.get_mean_score_over_sessions()
approx_data = stats.approximate(data, n_points=12)
chart = charts.MultiLineChart(approx_data, y_axis=(0.0, 1, 0.1), x_axis=(0, 1, 0.1), data_name="approximate")
chart.add_data("raw", data)
two_colours = charts.color_desc(2).split(",")
three_colours = ",".join((two_colours[0], two_colours[1], two_colours[1]))
chart["chco"] = three_colours
return chart
raise KeyError(name)
def _build_test_graph(name):
if name == "mean":
score_data = stats.get_mean_score_nth_test()
data = stats.group_by_points(score_data, y_max=1.0, y_min=0.0)
chart = charts.MultiLineChart(data, y_axis=(0, 1, 0.1), data_name="grouped")
chart.add_data("raw", score_data)
return chart
elif name == "volume":
user_data = stats.get_users_by_n_tests()
return charts.LineChart(user_data)
elif name == "length":
return charts.PieChart(stats.get_test_length_volume())
elif name == "normtime":
user_data = stats.get_score_over_norm_time()
return charts.LineChart(user_data)
elif name == "time":
base_data = stats.get_score_over_time()
data = stats.approximate(base_data)
chart = charts.MultiLineChart(data, y_axis=(0, 1.05, 0.1), data_name="approximate")
chart.add_data("raw", base_data)
two_colours = charts.color_desc(2).split(",")
three_colours = ",".join((two_colours[0], two_colours[1], two_colours[1]))
chart["chco"] = three_colours
return chart
elif name == "dropout":
return charts.LineChart(stats.get_mean_score_by_n_tests())
elif name == "firstlast":
data = stats.get_first_last_test()
hist_data = stats.histogram(data, n_bins=11, normalize=False, x_min=-0.5, x_max=0.5)
chart = charts.LineChart(hist_data, data_name="histogram", x_axis=(-0.5, 0.5, 0.1))
chart.add_data("raw", data)
return chart
raise KeyError(name)
def _build_time_graph(name):
if name == 'betweentests':
data = stats.get_time_between_tests()
hist_data = stats.log_histogram(data, start=1.0 / (24 * 60))
chart = charts.LineChart(hist_data, data_name='histogram')
chart.add_data('raw', [(x, ) for x in data])
return chart
elif name == 'sessions':
data = stats.get_mean_score_over_sessions()
approx_data = stats.approximate(data, n_points=12)
chart = charts.MultiLineChart(approx_data,
y_axis=(0.0, 1, 0.1),
x_axis=(0, 1, 0.1),
data_name='approximate')
chart.add_data('raw', data)
two_colours = charts.color_desc(2).split(',')
three_colours = ','.join(
(two_colours[0], two_colours[1], two_colours[1]))
chart['chco'] = three_colours
return chart
raise KeyError(name)
