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#plot.ly Example | |
# | |
#This example plot | |
#https://plot.ly/~GermanJimenez/0/ | |
import plotly | |
import os | |
def collatzDropTime(n): | |
c = 0 |
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library(ggplot2) | |
library(ggthemes) | |
library(dplyr) | |
library(lubridate) | |
library(scales) | |
library(data.table) | |
library(reshape2) | |
options(scipen=999) | |
options(stringsAsFactors = FALSE) |
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// 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 |
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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 | |
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