mhawksey

# Extension of https://github.com/psychemedia/futurelearnStatsSketches/blob/master/notebooks/FutureLearn%20Stats%20Recipes.ipynb

def plot_cumulativeCount(df, group, groupset, index, title, start, end):
    plt.rc("figure", figsize=(15, 10))
    df=df[df[group].isin(groupset)]
    df=df.reset_index().set_index(index)
    df.sort_index(inplace=True)
    df=date_limiter(df, start, end)
    df['Total enrollments']=range(len(df))
     

mhawksey

#generate a calendar heatmap of step visits
# http://stackoverflow.com/a/32492179
# Extension of https://github.com/psychemedia/futurelearnStatsSketches/blob/master/notebooks/FutureLearn%20Stats%20Recipes.ipynb

import datetime as dt

def generate_data():
    num = 100
    data = np.random.randint(0, 20, num)
    start = pd.to_datetime(COURSE_START_DATE)

mhawksey

# Enrollment summary graph
# Extension of https://github.com/psychemedia/futurelearnStatsSketches/blob/master/notebooks/FutureLearn%20Stats%20Recipes.ipynb

import matplotlib.ticker as tkr

cat = ['Enrolled learners', 'Visited at least one step', 'Completed at least one step', 'Commented at least once']
count = [len(enrolled_learners),
          len(enrolled_learners.intersection(stepstart_learners)),
          len(enrolled_learners.intersection(stepcomplete_learners)),
          len(commenting_learners)

calvingiles

notebooks:
    command: echo created
    image: busybox
    volumes:
        - "~/Google Drive/notebooks:/notebooks"
data:
    command: echo created
    image: busybox
    volumes:
        - "~/Google Drive/data:/data"

jkeirstead

# Analysis of EPSRC fellowship success rates
# 18 November 2013
# James Keirstead

##' Calculates the bounds for a funnel plot
##'
##' Calculates the upper and lower confidence interval limits for use
##' in a funnel plot.  Assumes a binomial discrete distribution with a
##' probability of success theta.
##' 

esperlu

#!/bin/sh

# Converts a mysqldump file into a Sqlite 3 compatible file. It also extracts the MySQL `KEY xxxxx` from the
# CREATE block and create them in separate commands _after_ all the INSERTs.

# Awk is choosen because it's fast and portable. You can use gawk, original awk or even the lightning fast mawk.
# The mysqldump file is traversed only once.

# Usage: $ ./mysql2sqlite mysqldump-opts db-name | sqlite3 database.sqlite
# Example: $ ./mysql2sqlite --no-data -u root -pMySecretPassWord myDbase | sqlite3 database.sqlite