For my dissertation, I've shown bar charts for commits in every week. I think these are x100 better for showing ACTUAL progress and it was clear where I had made less progress than some weeks (though this was entirely justified).
Unfortunately, as good as Dropbox is, it really lacks a graphing tool (I did try to find one) or any kind of statistical analysis. It's been a bit of a pain to get what I wanted, but I managed in the end. See attachment to this post for an example :)
And oh yeah, you need some form of unix commands to follow this guide (Ubuntu and Mac will have them - for Windows you'll need cygwin or something).
1. Download iMacros for Firefox (as its better supported than the Chrome version) - https://addons.mozilla.org/en-US/firefox/addon/imacros-for-firefox/
2. Go to https://www.dropbox.com/events?ns=false&n=REVISION_LIMIT&d=START_DATE and replace the tags with your desired information. Eg. last 166 commits from 14th of December 2011:
3. Execute this macro code on a loop (same number as your revision limit) - you can test it before you run it!:
VERSION BUILD=7401110 RECORDER=FXTAB T=1
SAVEAS TYPE=CPL FOLDER=~/Desktop/dropboxstats
TAG POS=1 TYPE=A ATTR=ID:newer-events
4. Collate files by doing:
cat * > dropbox_history
5. Copy this script and save as parsedropbox.py (sorry indenting was lost in HTML :( ):
from HTMLParser import HTMLParser
from datetime import datetime
def __init__(self, itemOfInterest):
self.itemOfInterest = itemOfInterest
def handle_starttag(self, tag, attrs):
if tag=="td" or tag=="a":
for attr in attrs:
def handle_endtag(self, tag):
def handle_data(self, data):
commitDate=datetime.strptime(dateString,'%m/%d/%Y %I:%M %p')
parser = MyHTMLParser(sys.argv)
data = ''
for line in sys.stdin:
5. Run this:
cat dropbox_history | python parsedropbox.py ITEM_OF_INTEREST | sort | uniq -c
Replace ITEM_OF_INTEREST with whatever you're interested in :) For me, it could be "Intelligent Algorithms" or "3YP" (Third Year Project).
This will count commits for each commit date!
I may make this code more user-friendly at some point.
You can now easily import this data into OpenOffice (and the like) for plotting your own graphs :)
I do hope Dropbox introduce some graphing feature soon (or at least, someone develops an official plugin for it...)
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