bbarrilleaux

bbarrilleaux

library("maps")
library("ggplot2")
library("RColorBrewer")
library("mapproj")

# data from infochimps, http://www.infochimps.com/datasets/60000-documented-ufo-sightings-with-text-descriptions-and-metada

tsvfile <- "chimps_16154-2010-10-20_14-33-35/ufo_awesome.tsv"
ufo <- read.table(tsvfile, sep ="\t", fill=TRUE, stringsAsFactors = FALSE)

bbarrilleaux

import numpy as np
import pandas as pd
import matplotlib
import pylab
from matplotlib import pyplot
from scipy.stats import gaussian_kde

data = pd.read_csv('fitbit.csv', usecols = [0, 1], parse_dates = True)

#count and remove days where <100 steps were logged, 

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import numpy as np
import pandas as pd
import matplotlib.pyplot as pyplot

import rpy2.robjects as robjects
from rpy2.robjects.packages import importr

data = pd.read_csv('FlossChart.csv', usecols = [0, 1], 
	parse_dates = True)
data['daynumber'] = data.date.map(lambda x: 

bbarrilleaux

// LPD8806 LED Code for our Yacht Club's Anchor 
/*************************************************************************************/
#include "LPD8806.h" // Library Here: https://github.com/adafruit/LPD8806
#include "SPI.h"

int totalLEDs = 14;
int dataPin = 2;    
int clockPin = 3;