christian-fr

## bit_pattern.py
import math
from typing import Union


def map_to_interval(in_val: Union[float, int], in_min: Union[float, int], in_max: Union[float, int],
                    out_min: Union[float, int], out_max: Union[float, int]) -> float:
    # mappt einen Wert aus einem gegebenen Intervall auf ein anderes Intervall
    #  z.B. Wert 0.5 im Intervall [0, 1] entspräche im Intervall [0, 10] -> 5
    #  z.B. Wert 0.5 im Intervall [0, 1] entspräche im Intervall [10, 20] -> 15


## product_set.py
from sympy import Interval, FiniteSet, Union, ProductSet

# als ProductSet aus Intervals
x1 = Interval(1, 2)
y1 = Interval(1, 2)
z1 = Interval(1, 2)

x2 = Interval(1, 1)
y2 = Interval(1, 1)
z2 = Interval(1, 1)

## hashtags.txt
#IchBinHanna
#IchBinReyhan
#IchBinJelena
#IchBinMelek
#IchBinHannaCH
#IchBinHannaAT
#IchBinHannaInUK
#IchWarHanna
#HannasChef
#WissZeitVG

## twitter_data_003.R
# twitter_data_003

library(tidyverse)
library(dplyr)

library(quanteda)
library(quanteda.textplots)


# load datasets

## twitter_data_004.R
# twitter_data_004

# Time Series Data & Visualization

library(tidyverse)
library(dplyr)
library(TSstudio)

# load datasets
df_tweets_subset <- readRDS("data/df_tweets_subset_htags.Rda")

## intro_api_2.R
# Intro 5
# Mastodon API (II)

library(tidyverse)
library(rtoot)

my_instance <- "mastodon.social"
auth_setup(instance = my_instance, type = "user")
options("rtoot_token" = file.path(tools::R_user_dir("rtoot", "config"), "rtoot_token.rds"))

## download_uebungsdatensatz.do
mkdir C:\Users\NAME\project\data\kk4
cd C:\Users\NAME\project\data\kk4
net from http://www.stata-press.com/data/kk4/
net install data
net get data
mkdir kksoep
cd kksoep
net get kksoep
cd ..

## pv-template.md

      
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    index

tc

(alle)
vn

cict01
qt

Mehrfachauswahl

  
## do-file-header.do
* erstellt von VORNAME NACHNAME
* zuletzt bearbeitet am 06.08.2019

version 15.1    // Stata-Version prüfen

pause off      // "pause" ausstellen
set more off    // "more" ausstellen

cap log close    // logfile schließen, falls noch eines geöffnet ist
	import math
	from typing import Union


	def map_to_interval(in_val: Union[float, int], in_min: Union[float, int], in_max: Union[float, int],
	out_min: Union[float, int], out_max: Union[float, int]) -> float:
	# mappt einen Wert aus einem gegebenen Intervall auf ein anderes Intervall
	# z.B. Wert 0.5 im Intervall [0, 1] entspräche im Intervall [0, 10] -> 5
	# z.B. Wert 0.5 im Intervall [0, 1] entspräche im Intervall [10, 20] -> 15
	from sympy import Interval, FiniteSet, Union, ProductSet

	# als ProductSet aus Intervals
	x1 = Interval(1, 2)
	y1 = Interval(1, 2)
	z1 = Interval(1, 2)

	x2 = Interval(1, 1)
	y2 = Interval(1, 1)
	z2 = Interval(1, 1)
	#IchBinHanna
	#IchBinReyhan
	#IchBinJelena
	#IchBinMelek
	#IchBinHannaCH
	#IchBinHannaAT
	#IchBinHannaInUK
	#IchWarHanna
	#HannasChef
	#WissZeitVG
	# twitter_data_003

	library(tidyverse)
	library(dplyr)

	library(quanteda)
	library(quanteda.textplots)


	# load datasets
	# twitter_data_004

	# Time Series Data & Visualization

	library(tidyverse)
	library(dplyr)
	library(TSstudio)

	# load datasets
	df_tweets_subset <- readRDS("data/df_tweets_subset_htags.Rda")
	# Intro 5
	# Mastodon API (II)

	library(tidyverse)
	library(rtoot)

	my_instance <- "mastodon.social"
	auth_setup(instance = my_instance, type = "user")
	options("rtoot_token" = file.path(tools::R_user_dir("rtoot", "config"), "rtoot_token.rds"))
	mkdir C:\Users\NAME\project\data\kk4
	cd C:\Users\NAME\project\data\kk4
	net from http://www.stata-press.com/data/kk4/
	net install data
	net get data
	mkdir kksoep
	cd kksoep
	net get kksoep
	cd ..