{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "677cd356",
"metadata": {},
"outputs": [],
"source": [
"erstis <- read.csv2(file.choose(), stringsAsFactors = TRUE, fileEncoding = \"UTF8\")"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "7437081a",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"'data.frame':\t90 obs. of 11 variables:\n",
" $ ID : int 1 2 3 4 5 6 7 8 9 10 ...\n",
" $ Studiengang : Factor w/ 3 levels \"Archiv\",\"Bibliothekswissenschaft\",..: 1 1 1 1 1 1 1 1 1 1 ...\n",
" $ Studium_erste_Wahl : Factor w/ 2 levels \"ja\",\"nein\": 1 1 1 2 1 1 1 1 1 2 ...\n",
" $ Entscheidung_in_Lebensphase : Factor w/ 6 levels \"In der Oberstufe\",..: 1 5 1 1 2 1 6 1 1 2 ...\n",
" $ Vorstellung_Werdegang : Factor w/ 3 levels \"bisher nur teilweise\",..: 1 1 3 1 1 2 1 2 2 3 ...\n",
" $ Beratungsbedarf_Teilzeitstudium : Factor w/ 4 levels \"eher unwichtig\",..: 1 3 1 1 1 1 1 1 1 1 ...\n",
" $ Beratungsbedarf_Berufsperspektiven : Factor w/ 4 levels \"eher unwichtig\",..: 4 2 4 4 2 4 4 4 4 2 ...\n",
" $ Beratungsbedarf_Studienfinanzierung: Factor w/ 4 levels \"eher unwichtig\",..: 1 3 1 2 2 3 2 3 4 1 ...\n",
" $ Alter : int 22 23 23 25 25 18 23 23 25 18 ...\n",
" $ Geschlecht : Factor w/ 3 levels \"keine Angabe\",..: 3 3 2 1 3 2 2 2 3 2 ...\n",
" $ Bundesland : Factor w/ 15 levels \"Baden-Württemberg\",..: 3 7 12 8 4 12 10 4 11 4 ...\n"
]
}
],
"source": [
"str(erstis)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "955ebe1b",
"metadata": {},
"outputs": [],
"source": [
"erstis$Beratungsbedarf_Teilzeitstudium <- factor(erstis$Beratungsbedarf_Teilzeitstudium, levels=levels(erstis$Beratungsbedarf_Teilzeitstudium)[c(4,2,1,3)])"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "b3bee9d4",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[1] \"wichtig\" \"eher wichtig\" \"eher unwichtig\" \"unwichtig\" \n",
"[1] \"wichtig\" \"eher wichtig\" \"eher unwichtig\" \"unwichtig\" \n",
"[1] \"wichtig\" \"eher wichtig\" \"eher unwichtig\" \"unwichtig\" \n"
]
}
],
"source": [
"#Alle Variablen mit derselben Skala gemeinsam umkodieren\n",
"for(i in 6:8) {\n",
" erstis[,i] <- factor(erstis[,i], levels=levels(erstis[,i])[c(4,2,1,3)])\n",
" print(levels(erstis[,i]))\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "2fd0c6f5",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"- 'wichtig'
- 'eher wichtig'
- 'eher unwichtig'
- 'unwichtig'
\n"
],
"text/latex": [
"\\begin{enumerate*}\n",
"\\item 'wichtig'\n",
"\\item 'eher wichtig'\n",
"\\item 'eher unwichtig'\n",
"\\item 'unwichtig'\n",
"\\end{enumerate*}\n"
],
"text/markdown": [
"1. 'wichtig'\n",
"2. 'eher wichtig'\n",
"3. 'eher unwichtig'\n",
"4. 'unwichtig'\n",
"\n",
"\n"
],
"text/plain": [
"[1] \"wichtig\" \"eher wichtig\" \"eher unwichtig\" \"unwichtig\" "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"levels(erstis$Beratungsbedarf_Teilzeitstudium)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "93bda11a",
"metadata": {},
"outputs": [
{
"data": {
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Ic3G2aawJsNn3+aXFkrzkYt+OU3Gx6e8JRguwASOBBsF7AMGokEBxFsF7AMGokE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",
"text/plain": [
"plot without title"
]
},
"metadata": {
"image/png": {
"height": 420,
"width": 420
}
},
"output_type": "display_data"
}
],
"source": [
"plot(erstis)"
]
},
{
"cell_type": "markdown",
"id": "19e55a62",
"metadata": {},
"source": [
"# Nominalskalenniveau"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "1dd37179",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
" ID Studiengang Studium_erste_Wahl\n",
" Min. : 1.00 Archiv :39 ja :62 \n",
" 1st Qu.:23.25 Bibliothekswissenschaft :27 nein:28 \n",
" Median :45.50 Informations- und\\nDatenmanagement:24 \n",
" Mean :45.50 \n",
" 3rd Qu.:67.75 \n",
" Max. :90.00 \n",
" \n",
" Entscheidung_in_Lebensphase Vorstellung_Werdegang\n",
" In der Oberstufe :26 bisher nur teilweise:27 \n",
" Sonstiges :13 ja :33 \n",
" Vor Eintritt in die Oberstufe : 2 nein :30 \n",
" Während eines anderen Studiums :15 \n",
" Während meiner Berufsausbildung:13 \n",
" Während meiner Berufstätigkeit :21 \n",
" \n",
" Beratungsbedarf_Teilzeitstudium Beratungsbedarf_Berufsperspektiven\n",
" wichtig : 5 eher unwichtig: 5 \n",
" eher wichtig :16 eher wichtig :32 \n",
" eher unwichtig:42 unwichtig : 2 \n",
" unwichtig :27 wichtig :51 \n",
" \n",
" \n",
" \n",
" Beratungsbedarf_Studienfinanzierung Alter Geschlecht\n",
" eher unwichtig:27 Min. :17 keine Angabe: 2 \n",
" eher wichtig :34 1st Qu.:21 männlich :52 \n",
" unwichtig :20 Median :23 weiblich :36 \n",
" wichtig : 9 Mean :23 \n",
" 3rd Qu.:25 \n",
" Max. :31 \n",
" \n",
" Bundesland\n",
" Brandenburg :26 \n",
" Berlin :17 \n",
" keine Angabe :10 \n",
" Baden-Württemberg: 6 \n",
" Sachsen : 6 \n",
" Sachsen-Anhalt : 5 \n",
" (Other) :20 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"summary(erstis)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "7868510f",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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0hICuzXzH9CQlJgv2b+ExKSAvs185+Q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\ngJCAAoQEFPg/S+MUW48pjjgAAAAASUVORK5CYII=",
"text/plain": [
"plot without title"
]
},
"metadata": {
"image/png": {
"height": 420,
"width": 420
}
},
"output_type": "display_data"
}
],
"source": [
"barplot(summary(erstis$Studiengang))"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "87e0323b",
"metadata": {},
"outputs": [],
"source": [
"library(ggplot2)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "906feb83",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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DxjoLIh5eEZA5UNKQ/PGKhsSHl4xkBl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\nSUVORK5CYII=",
"text/plain": [
"plot without title"
]
},
"metadata": {
"image/png": {
"height": 420,
"width": 420
}
},
"output_type": "display_data"
}
],
"source": [
"ggplot(erstis, aes(Studiengang)) + geom_bar()"
]
},
{
"cell_type": "markdown",
"id": "219fc2f2",
"metadata": {},
"source": [
"# Ordinalskala"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "d1a12768",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"A data.frame: 4 × 1\n",
"\n",
"\t | summary.erstis.Beratungsbedarf_Teilzeitstudium. |
|---|
\n",
"\t | <int> |
|---|
\n",
"\n",
"\n",
"\t| wichtig | 5 |
|---|
\n",
"\t| eher wichtig | 16 |
|---|
\n",
"\t| eher unwichtig | 42 |
|---|
\n",
"\t| unwichtig | 27 |
|---|
\n",
"\n",
"
\n"
],
"text/latex": [
"A data.frame: 4 × 1\n",
"\\begin{tabular}{r|l}\n",
" & summary.erstis.Beratungsbedarf\\_Teilzeitstudium.\\\\\n",
" & \\\\\n",
"\\hline\n",
"\twichtig & 5\\\\\n",
"\teher wichtig & 16\\\\\n",
"\teher unwichtig & 42\\\\\n",
"\tunwichtig & 27\\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"A data.frame: 4 × 1\n",
"\n",
"| | summary.erstis.Beratungsbedarf_Teilzeitstudium. <int> |\n",
"|---|---|\n",
"| wichtig | 5 |\n",
"| eher wichtig | 16 |\n",
"| eher unwichtig | 42 |\n",
"| unwichtig | 27 |\n",
"\n"
],
"text/plain": [
" summary.erstis.Beratungsbedarf_Teilzeitstudium.\n",
"wichtig 5 \n",
"eher wichtig 16 \n",
"eher unwichtig 42 \n",
"unwichtig 27 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"data.frame(summary(erstis$Beratungsbedarf_Teilzeitstudium))"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "4f0c3cdd",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"3"
],
"text/latex": [
"3"
],
"text/markdown": [
"3"
],
"text/plain": [
"[1] 3"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"\n",
"A data.frame: 5 × 1\n",
"\n",
"\t | quantile.as.numeric.erstis.Beratungsbedarf_Teilzeitstudium.. |
|---|
\n",
"\t | <dbl> |
|---|
\n",
"\n",
"\n",
"\t| 0% | 1 |
|---|
\n",
"\t| 25% | 3 |
|---|
\n",
"\t| 50% | 3 |
|---|
\n",
"\t| 75% | 4 |
|---|
\n",
"\t| 100% | 4 |
|---|
\n",
"\n",
"
\n"
],
"text/latex": [
"A data.frame: 5 × 1\n",
"\\begin{tabular}{r|l}\n",
" & quantile.as.numeric.erstis.Beratungsbedarf\\_Teilzeitstudium..\\\\\n",
" & \\\\\n",
"\\hline\n",
"\t0\\% & 1\\\\\n",
"\t25\\% & 3\\\\\n",
"\t50\\% & 3\\\\\n",
"\t75\\% & 4\\\\\n",
"\t100\\% & 4\\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"A data.frame: 5 × 1\n",
"\n",
"| | quantile.as.numeric.erstis.Beratungsbedarf_Teilzeitstudium.. <dbl> |\n",
"|---|---|\n",
"| 0% | 1 |\n",
"| 25% | 3 |\n",
"| 50% | 3 |\n",
"| 75% | 4 |\n",
"| 100% | 4 |\n",
"\n"
],
"text/plain": [
" quantile.as.numeric.erstis.Beratungsbedarf_Teilzeitstudium..\n",
"0% 1 \n",
"25% 3 \n",
"50% 3 \n",
"75% 4 \n",
"100% 4 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"median(as.numeric(erstis$Beratungsbedarf_Teilzeitstudium))\n",
"data.frame(quantile(as.numeric(erstis$Beratungsbedarf_Teilzeitstudium)))"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "d92765e6",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"plot without title"
]
},
"metadata": {
"image/png": {
"height": 420,
"width": 420
}
},
"output_type": "display_data"
}
],
"source": [
"ggplot(erstis, aes(y=as.numeric(Beratungsbedarf_Teilzeitstudium))) + geom_boxplot()"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "04df316b",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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CxCWoqDnUVIECAkCCgN6fvLafvhdP4+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",
"text/plain": [
"plot without title"
]
},
"metadata": {
"image/png": {
"height": 420,
"width": 420
}
},
"output_type": "display_data"
}
],
"source": [
"boxplot(as.numeric(erstis$Beratungsbedarf_Teilzeitstudium))"
]
},
{
"cell_type": "markdown",
"id": "d0338e89",
"metadata": {},
"source": [
"# Bivariate Analyse"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "0782c570",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
" \n",
" wichtig eher wichtig eher unwichtig\n",
" Archiv 1 11 22\n",
" Bibliothekswissenschaft 4 0 6\n",
" Informations- und\\nDatenmanagement 0 5 14\n",
" \n",
" unwichtig\n",
" Archiv 5\n",
" Bibliothekswissenschaft 17\n",
" Informations- und\\nDatenmanagement 5"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"table(erstis$Studiengang, erstis$Beratungsbedarf_Teilzeitstudium)"
]
},
{
"cell_type": "code",
"execution_count": 50,
"id": "7343280d",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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KoDlhUAVlvAqg5YVgBYbQGrOmBZAWC1BazqgGUFgNUWsKoDlhUAVlvAqg5YVgBY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\nAAAASUVORK5CYII=",
"text/plain": [
"plot without title"
]
},
"metadata": {
"image/png": {
"height": 480,
"width": 600
}
},
"output_type": "display_data"
}
],
"source": [
"options(repr.plot.width=10, repr.plot.height=8) #Einstellen der Graphikgröße\n",
"library(ggplot2)\n",
"#gestapeltes Balkendiagramm mit absoluten Häufigkeiten\n",
"ggplot(erstis, aes(x=Studiengang, fill=Beratungsbedarf_Teilzeitstudium)) + \n",
" geom_bar(position=\"fill\") + #Skalierung auf den Wertebereich von [0,1]\n",
" theme(axis.text.x = element_text(angle = 90, vjust=0.5, hjust=1)) + #Ausrichtung der Achsenbeschrifung\n",
" scale_fill_brewer(palette = \"PRGn\") #https://colorbrewer2.org/"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "a23876ba",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 11,
"id": "50ac0b28",
"metadata": {},
"outputs": [],
"source": [
"multi <- read.csv(file.choose(), stringsAsFactors = TRUE)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "2b38c12a",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"'data.frame':\t9 obs. of 3 variables:\n",
" $ Aspekt_1: Factor w/ 2 levels \"ja\",\"nein\": 2 1 2 2 2 1 2 1 2\n",
" $ Aspekt_2: Factor w/ 2 levels \"ja\",\"nein\": 1 2 1 1 1 2 1 1 2\n",
" $ Aspekt_3: Factor w/ 2 levels \"ja\",\"nein\": 2 2 1 1 1 2 1 1 2\n"
]
}
],
"source": [
"str(multi)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "b24af739",
"metadata": {},
"outputs": [],
"source": [
"multi$Aspekt_1 <- as.numeric(factor(multi$Aspekt_1, levels = rev(levels(multi$Aspekt_1))))\n",
"multi$Aspekt_2 <- as.numeric(factor(multi$Aspekt_2, levels = rev(levels(multi$Aspekt_2))))\n",
"multi$Aspekt_3 <- as.numeric(factor(multi$Aspekt_3, levels = rev(levels(multi$Aspekt_3))))"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "73e1728a",
"metadata": {},
"outputs": [],
"source": [
"multi$Aspekt_1 <- multi$Aspekt_1 - 1\n",
"multi$Aspekt_2 <- multi$Aspekt_2 - 1\n",
"multi$Aspekt_3 <- multi$Aspekt_3 - 1"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "ee929f55",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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iFS7dTKYdNWuNK5ZohUO7Vy2LQVrnSu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\ngg==",
"text/plain": [
"plot without title"
]
},
"metadata": {
"image/png": {
"height": 420,
"width": 420
}
},
"output_type": "display_data"
}
],
"source": [
"barplot(colSums(multi))"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "R",
"language": "R",
"name": "ir"
},
"language_info": {
"codemirror_mode": "r",
"file_extension": ".r",
"mimetype": "text/x-r-source",
"name": "R",
"pygments_lexer": "r",
"version": "3.6.3"
}
},
"nbformat": 4,
"nbformat_minor": 5
}