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// 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; |
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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: |
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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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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) |
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