Tesseract & Python

# use Tesseract to OCR the image
text = pytesseract.image_to_string(image)
results = []
#print(text)
tdData = text.replace(',','').replace('@','0').replace('‘','').replace(')','').split('\n')
for data in tdData[3:]:
	#print(data)
	rec = {}
	elems = data.split(' ')
	rec['county'] = elems[0]
	rec['todays'] = toNumber(elems[1])
	rec['forteen'] = toNumber(elems[2])
	rec['newforteen'] = toNumber(elems[3])
	results.append(rec)

df = pd.DataFrame(results)
df.info()



print(df['county'].unique())


print(df[(df['todays'] == 0) | (df['forteen'] == 0) | (df['newforteen'] == 0)])


day = df.at[0,'todays']
f14 = df.at[0,'forteen']
newf14 = df.at[0,'newforteen']

print(day,f14, newf14)

dayTot = df['todays'].sum()-day
f14Tot = df['forteen'].sum()-f14
newf14Tot = df['newforteen'].sum()-newf14

print(dayTot-day,f14Tot-f14,newf14Tot-newf14)
df.to_csv('results.csv')

fd = pd.read_csv('resultsE.csv')
print(fd[(fd['todays'] == 0) | (fd['forteen'] == 0) | (fd['newforteen'] == 0)])


day = fd.at[0,'todays']
f14 = fd.at[0,'forteen']
newf14 = fd.at[0,'newforteen']

print(day,f14, newf14)

dayTot = fd['todays'].sum()-day
f14Tot = fd['forteen'].sum()-f14
newf14Tot = (fd['newforteen'].sum()-newf14)/26

print(day,f14, newf14)
ff = fd[fd['county'] != 'Ireland'].copy()

print(ff['forteen'].median())
print(ff['forteen'].min())
print(ff['forteen'].max())

based on pyimagesearch.com base code
a script that converts an OCR text string to a 2d matrix