arsenovic

ttunguz

library(ggplot2)
library(reshape)
library(scales)

### INSTRUCTIONS
# 1. Save file to same local directory
# 2. Change time zone specification in third IMPORT DATA statement
# 3. In each top_n_for_hour or top_n_for_day, test to statistical significance by comparing the result of the top_n function and the result of the matrix t test

dwblair

// Using Plot.ly's Arduino API to visualize Temperature and Humidity Readings from A DHT22 Sensor

#include <SPI.h>
#include <Ethernet.h>
#include "plotly_ethernet.h"
#include "DHT.h"

#include <thermistor.h>
// Calibration coeffs for RSBR-302J-Z50 Teflon-Coated 3k Thermistor
#define A 3.3501

jdavidson

library(ggplot2)
library(ggthemes)
library(dplyr)
library(lubridate)
library(scales)
library(data.table)
library(reshape2)
options(scipen=999)
options(stringsAsFactors = FALSE)

gj84

#plot.ly Example
#
#This example plot
#https://plot.ly/~GermanJimenez/0/

import plotly
import os

def collatzDropTime(n):
    c = 0