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View analyze_twitter_organic.r
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
View plotlyCollatzDropingTimes.py
#plot.ly Example
#
#This example plot
#https://plot.ly/~GermanJimenez/0/
import plotly
import os
def collatzDropTime(n):
c = 0
View Plotly Seamless Editing.ipynb
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View olmPlotlyDHT22ThermistorOLM1.ino
// 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
jdavidson / category.R
Created Feb 3, 2014
Analysis of start up category performance from crunchbase
View category.R
library(ggplot2)
library(ggthemes)
library(dplyr)
library(lubridate)
library(scales)
library(data.table)
library(reshape2)
options(scipen=999)
options(stringsAsFactors = FALSE)