from readcsvfile import reader
data = reader('data.csv')
if __name__ == "__main__":
print(
"1.Population Mean 2. Median 3. Mode 4. Population Standard Deviation 5. Variance of population proportion 6. "
"Z-Score 7. Standardized score 8. Population Correlation Coefficient 9. Confidence Interval 10. Population "
"Variance 11. P Value 12. Proportion 13. Sample Mean 14. Sample Standard Deviation 15. Variance of sample "
"proportion")
c = int(input())
if c == 1:
from pmean import pmean
print((pmean(data)))
elif c == 2:
from median import median
print(str(median(data)))
elif c == 3:
from mode import mode
print(str(mode(data)))
elif c == 4:
from popstddev import popstddev
print(str(popstddev(data)))
elif c == 5:
from variancepopprop import variancepopprop
print(str(variancepopprop(data)))
elif c == 6:
from zscore import zscore
from readcsvfile import reader
import math
dataSet = reader('data.csv')
def smean(dataSet):
if len(dataSet) == 0:
return 0
smean = sum(dataSet[:5]) / 5
return smean
from readcsvfile import reader
import math
data1 = reader('data.csv')
data2 = reader('data.csv')
def popcorcoeff(data1, data2):
if len(data1) == 0 or len(data2) == 0 or len(data1) != len(data2):
return 0
s = 0
data1_mean = sum(data1) / len(data2)
data2_mean = sum(data2) / len(data2)
data1_SD = math.sqrt(
sum([(val - data1_mean)**2 for val in data1]) / (len(data1) - 1))
data2_SD = math.sqrt(
sum([(val - data2_mean)**2 for val in data2]) / (len(data2) - 1))
for i, j in zip(data1, data2):
s = s + (((i - data1_mean) / data1_SD) * ((j - data2_mean) / data2_SD))
return s / len(data1)
from readcsvfile import reader
import math
dataset = reader('data.csv')
def vsampprop(dataset):
if len(dataset) == 0:
result = 0
sum_of_dataset = sum(dataset)
if sum_of_dataset == 0:
result = 0
result = []
for data in dataset:
result.append(data / sum_of_dataset)
cal_mean = sum(result) / len(result)
cal_variance = sum((xi - cal_mean)**2 for xi in result) / len(result)
return cal_variance
def test_csv_reader():
data = reader('test.csv')
assert len(data) == 30
def test_csv_reader_fail():
data = reader('test.csv')
assert len(data) != 1
import math
from readcsvfile import reader
data = reader('test.csv')
def test_csv_reader():
data = reader('test.csv')
assert len(data) == 30
def test_csv_reader_fail():
data = reader('test.csv')
assert len(data) != 1
