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Runtime error
Runtime error
Birger Moell
commited on
Commit
•
115525b
1
Parent(s):
e7c2c70
Updated code
Browse files
app.py
CHANGED
@@ -160,32 +160,55 @@ test_dict = {
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def calculate_z_score(test_score, mean, std_dev):
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return (test_score - mean) / std_dev
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def z_score_calculator(value, norm_mean, norm_sd):
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z_value = (value - norm_mean) / norm_sd
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z_score = round(z_value, 2)
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return z_score, stanine_value
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-
def
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if age <= 60 and education <= 12:
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norm_mean = test_dict[test]["low_age_low_education"]["mean"]
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norm_sd = test_dict[test]["low_age_low_education"]["std"]
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z_score, stanine_value = z_score_calculator(values, norm_mean, norm_sd)
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return norm_mean, norm_sd, z_score, stanine_value
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elif age <= 60 and education > 12:
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norm_mean = test_dict[test]["low_age_high_education"]["mean"]
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norm_sd = test_dict[test]["low_age_high_education"]["std"]
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z_score, stanine_value = z_score_calculator(values, norm_mean, norm_sd)
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return norm_mean, norm_sd, z_score, stanine_value
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elif age > 60 and education <= 12:
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norm_mean = test_dict[test]["high_age_low_education"]["mean"]
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norm_sd = test_dict[test]["high_age_low_education"]["std"]
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z_score, stanine_value = z_score_calculator(values, norm_mean, norm_sd)
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return norm_mean, norm_sd, z_score, stanine_value
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elif age > 60 and education > 12:
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norm_mean = test_dict[test]["high_age_high_education"]["mean"]
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norm_sd = test_dict[test]["high_age_high_education"]["std"]
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z_score, stanine_value = z_score_calculator(values, norm_mean, norm_sd)
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return norm_mean, norm_sd, z_score, stanine_value
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else:
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print("missing value/ wrong format")
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@@ -267,6 +290,8 @@ def generate_graph(test_dict):
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for test in reversed(list(test_dict.keys())):
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#print("the test is", test)
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ax.scatter(test_dict[test][4], i, s=50, color='black', label=test)
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i = i + 1
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@@ -412,7 +437,9 @@ if st.button("Calculate Z-Score"):
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animal_mean, animal_std, animal_z, animal_stanine = test_calculator(age, education_level, animal, "animal")
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verb_mean, verb_std, verb_z, verb_stanine = test_calculator(age, education_level, verb, "verb")
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repetition_mean, repetition_std, repetition_z, repetition_stanine = test_calculator(age, education_level, repetition, "repetition")
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months_backward_mean, months_backward_std, months_backward_z, months_backward_stanine = test_calculator(age, education_level, months_backward, "months_backward")
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logicogrammatic_mean, logicogrammatic_std, logicogrammatic_z, logicogrammatic_stanine = test_calculator(age, education_level, logicogrammatic, "logicogrammatic")
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inference_mean, inference_std, inference_z, inference_stanine = test_calculator(age, education_level, inference, "inference")
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reading_speed_mean, reading_speed_std, reading_speed_z, reading_speed_stanine = test_calculator(age, education_level, reading_speed, "reading_speed")
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def calculate_z_score(test_score, mean, std_dev):
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return (test_score - mean) / std_dev
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def z_score_calculator(value, norm_mean, norm_sd, invert=False):
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z_value = (value - norm_mean) / norm_sd
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if invert:
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z_value = -z_value
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stanine_value = zscore_to_stanine(z_value)
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z_score = round(z_value, 2)
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return z_score, stanine_value
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def zscore_to_stanine(zscore):
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if zscore <= -1.76:
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return 1
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elif zscore <= -1.26:
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return 2
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elif zscore <= -0.76:
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return 3
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elif zscore <= -0.26:
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return 4
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elif zscore <= 0.25:
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return 5
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elif zscore <= 0.75:
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return 6
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elif zscore <= 1.25:
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return 7
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elif zscore <= 1.75:
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return 8
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else:
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return 9
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def test_calculator(age, education, values, test, invert=False):
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if age <= 60 and education <= 12:
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norm_mean = test_dict[test]["low_age_low_education"]["mean"]
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norm_sd = test_dict[test]["low_age_low_education"]["std"]
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z_score, stanine_value = z_score_calculator(values, norm_mean, norm_sd, invert=invert)
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return norm_mean, norm_sd, z_score, stanine_value
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elif age <= 60 and education > 12:
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norm_mean = test_dict[test]["low_age_high_education"]["mean"]
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norm_sd = test_dict[test]["low_age_high_education"]["std"]
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z_score, stanine_value = z_score_calculator(values, norm_mean, norm_sd, invert=invert)
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return norm_mean, norm_sd, z_score, stanine_value
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elif age > 60 and education <= 12:
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norm_mean = test_dict[test]["high_age_low_education"]["mean"]
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norm_sd = test_dict[test]["high_age_low_education"]["std"]
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z_score, stanine_value = z_score_calculator(values, norm_mean, norm_sd, invert=invert)
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return norm_mean, norm_sd, z_score, stanine_value
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elif age > 60 and education > 12:
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norm_mean = test_dict[test]["high_age_high_education"]["mean"]
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norm_sd = test_dict[test]["high_age_high_education"]["std"]
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z_score, stanine_value = z_score_calculator(values, norm_mean, norm_sd, invert=invert)
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return norm_mean, norm_sd, z_score, stanine_value
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else:
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print("missing value/ wrong format")
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for test in reversed(list(test_dict.keys())):
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#print("the test is", test)
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# check if values are not empty
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ax.scatter(test_dict[test][4], i, s=50, color='black', label=test)
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i = i + 1
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animal_mean, animal_std, animal_z, animal_stanine = test_calculator(age, education_level, animal, "animal")
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verb_mean, verb_std, verb_z, verb_stanine = test_calculator(age, education_level, verb, "verb")
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repetition_mean, repetition_std, repetition_z, repetition_stanine = test_calculator(age, education_level, repetition, "repetition")
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months_backward_mean, months_backward_std, months_backward_z, months_backward_stanine = test_calculator(age, education_level, months_backward, "months_backward", invert=True)
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# months_backward_z = months_backward_z * -1
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# print("the months backw z is: ", months_backward_z)
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logicogrammatic_mean, logicogrammatic_std, logicogrammatic_z, logicogrammatic_stanine = test_calculator(age, education_level, logicogrammatic, "logicogrammatic")
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inference_mean, inference_std, inference_z, inference_stanine = test_calculator(age, education_level, inference, "inference")
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reading_speed_mean, reading_speed_std, reading_speed_z, reading_speed_stanine = test_calculator(age, education_level, reading_speed, "reading_speed")
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