Were you asking me?
I don't want to post code here, being unsure of the etiquette.
I see you can write python; maybe the following fragments will give
you some ideas.
End.
*** Not real code Don't use ***
learned_cards_min = 120
working_cards_max = 30
*** Not real code Don't use ***
def percent_learned():
total = 0
learned = 0
for item in get_items():
if item.is_in_active_category():
total += 1
if item.next_rep - item.last_rep >= learned_cards_min:
learned += 1
if total != 0:
learned = 100*learned/total
return learned
*** Not real code Don't use ***
def number_working():
num = 0
for item in get_items():
if item.next_rep - item.last_rep < working_cards_max and
item.is_in_active_category():
num += 1
return num
*** Not real code Don't use ***
def average_interval():
count = 0
num = 0
for item in get_items():
if item.is_in_active_category():
count += 1
num += item.next_rep - item.last_rep
if count != 0:
num = num/count
return num
*** Not real code Don't use ***
On Oct 28, 6:06 pm, Charles Cave <[email protected]> wrote:
> I would be interested in obtaining statistics about the card deck as well.
>
> I wrote a Python program to extract the data from the XML export of
> a deck, mainly to create Question/Answer/Category fields for cards of
> a low grade.
>
> One challenge I had adding cards was adding too many cards in a batch
> creating "indigestion". I would have a large number of cards to review
> then another large amount the next day. I wanted a way to smooth out
> the learning process. It was more convenient to add a lot of new content
> on the weekend because I was busy during the week.
>
> Can you describe these statistics and how they are calculated? I was
> considering
> analysing my card decks.
>
> Charles
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