Gergely Daróczi daroczig

## matek.R
## TODO R package
## TODO internation via yaml that also provides the list of languages for the UI
## TODO cli --ui hu --control en --number 1:20 ...

library(logger)
library(crayon)
library(reticulate)
num2words <- import('num2words')

## rich-iannone/UnidecodeR

## szeged-2017-workshop.R
## intro slides: http://bit.ly/r-intro-slide

## basic operations
1 + 3
3*2
3^2

## constants
pi
"pi"

## iris demo.Rmd
---
title: "Iris teszt elemzés"
author: "Gergely"
date: "`r Sys.time()`"
output: html_document
---

Hello, markdown! Ez egy egyszerű szöveges dokumentum,
a szöveget a markdown jelölőnyelv segítségével tudunk formázni.

## BCE-MDDA-2018.R
## #############################################################################
## PCA demo on image processing
## #############################################################################

download.file('http://bit.ly/nasa-image-pca', 'image.jpg') # mode = »bw«

library(jpeg)
img <- readJPEG('image.jpg')
str(img)

## print-tracked-tasks.py
#!/usr/bin/env python

import dbus, dbus.exceptions
import sys
import re

try:
    bus = dbus.SessionBus()
    timetracker = bus.get_object('org.gnome.Shell', '/timepp/zagortenay333/TimeTracker')
except dbus.exceptions.DBusException as e:

## Crunch-2018-R-workshop.R
## #############################################################################
## intro slides: http://bit.ly/CRUNCH-R-2018

## #############################################################################
## intro to R

## basic operations
1 + 3
3 * 2

## exercises.R
## generate transactional tables
set.seed(42)
library(data.table)
tx <- data.table(
    item   = sample(letters[1:3], 10, replace = TRUE),
    time   = as.POSIXct(as.Date('2016-01-01')) - runif(10) * 36*60^2,
    amount = rpois(10, 25))
prices <- data.table(
    item  = letters[1:3],
    date  = as.Date('2016-01-01') - 1:2,

## Budapest-BI-Forum-2017.r
## intro slides: http://bit.ly/r-intro-slide

## basic operations
1 + 3
3*2
3^2

## constants
pi
"pi"

## CRUNCH-2017-R-workshop.R
## intro slides: http://bit.ly/CRUNCH-R-2017

## basic operations
1 + 3
3*2
3^2

## constants
pi
"pi"

## data.table.R
# demo transactions data
library(data.table)
txns <- data.table(
  rpid = rep(1:3, times = 4),
  txid = 1:12,
  time = c(10, 10, 10, 11, 15, 20, 12, 16, 25, 13, 21, 30))

## overlap join to see which transactions happened withing 3 time units on the same rpid
## let's define the time periods for the overlap
txns[, start := time - 3]