diff --git a/2-Working-With-Data/R/pandas.ipynb b/2-Working-With-Data/R/pandas.ipynb deleted file mode 100644 index cb92883..0000000 --- a/2-Working-With-Data/R/pandas.ipynb +++ /dev/null @@ -1,978 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "304296e3", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\n", - "Attaching package: 'dplyr'\n", - "\n", - "\n", - "The following objects are masked from 'package:stats':\n", - "\n", - " filter, lag\n", - "\n", - "\n", - "The following objects are masked from 'package:base':\n", - "\n", - " intersect, setdiff, setequal, union\n", - "\n", - "\n", - "-- \u001b[1mAttaching packages\u001b[22m ------------------------------------------------------------------------------- tidyverse 1.3.1 --\n", - "\n", - "\u001b[32mv\u001b[39m \u001b[34mggplot2\u001b[39m 3.3.5 \u001b[32mv\u001b[39m \u001b[34mpurrr \u001b[39m 0.3.4\n", - "\u001b[32mv\u001b[39m \u001b[34mtibble \u001b[39m 3.1.5 \u001b[32mv\u001b[39m \u001b[34mstringr\u001b[39m 1.4.0\n", - "\u001b[32mv\u001b[39m \u001b[34mtidyr \u001b[39m 1.1.4 \u001b[32mv\u001b[39m \u001b[34mforcats\u001b[39m 0.5.1\n", - "\u001b[32mv\u001b[39m \u001b[34mreadr \u001b[39m 2.0.2 \n", - "\n", - "-- \u001b[1mConflicts\u001b[22m ---------------------------------------------------------------------------------- tidyverse_conflicts() --\n", - "\u001b[31mx\u001b[39m \u001b[34mdplyr\u001b[39m::\u001b[32mfilter()\u001b[39m masks \u001b[34mstats\u001b[39m::filter()\n", - "\u001b[31mx\u001b[39m \u001b[34mdplyr\u001b[39m::\u001b[32mlag()\u001b[39m masks \u001b[34mstats\u001b[39m::lag()\n", - "\n" - ] - } - ], - "source": [ - "library(dplyr)\n", - "library(tidyverse)" - ] - }, - { - "cell_type": "markdown", - "id": "d786e051", - "metadata": {}, - "source": [ - "## Series" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "f659f553", - "metadata": {}, - "outputs": [], - "source": [ - "a<- 1:9" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "9acc193d", - "metadata": {}, - "outputs": [], - "source": [ - "b = c(\"I\",\"like\",\"to\",\"use\",\"Python\",\"and\",\"Pandas\",\"very\",\"much\")" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "f577ec14", - "metadata": {}, - "outputs": [], - "source": [ - "a1 = length(a)\n", - "b1 = length(b)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "31e069a0", - "metadata": {}, - "outputs": [], - "source": [ - "a = data.frame(a,row.names = c(1:a1))" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "29ce166e", - "metadata": {}, - "outputs": [], - "source": [ - "b = data.frame(b,row.names = c(1:b1))" - ] - }, - { - "cell_type": "markdown", - "id": "945feffd", - "metadata": {}, - "source": [ - "## DataFrame" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "88a435ec", - "metadata": {}, - "outputs": [], - "source": [ - "a = data.frame(a,row.names = c(1:a1))" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "c4e2a6c1", - "metadata": {}, - "outputs": [], - "source": [ - "b = data.frame(b,row.names = c(1:b1))" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "2bb5177c", - "metadata": {}, - "outputs": [], - "source": [ - "df<- data.frame(a,b)" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "8f45d3a5", - "metadata": {}, - "outputs": [], - "source": [ - "df = \n", - " rename(df,\n", - " A = a,\n", - " B = b,\n", - " )" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "0efbf2d4", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - "\n", - "\n", - "\t\n", - "\t\n", - "\n", - "\n", - "\t\n", - "\t\n", - "\t\n", - "\t\n", - "\t\n", - "\t\n", - "\t\n", - "\t\n", - "\t\n", - "\n", - "
A data.frame: 9 × 2
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A data.frame: 9 × 1
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A data.frame: 4 × 2
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A data.frame: 1 × 2
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A data.frame: 9 × 3
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A data.frame: 9 × 4
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A data.frame: 5 × 4
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A tibble: 5 × 2
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A data.frame: 6 × 4
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}, - { - "cell_type": "code", - "execution_count": 28, - "id": "515c95b2", - "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": [ - "plot(df$A,type = 'o',xlab = \"no\",ylab = \"A\")" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "id": "41b872c9", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "plot without title" - ] - }, - "metadata": { - "image/png": { - "height": 420, - "width": 420 - } - }, - "output_type": "display_data" - } - ], - "source": [ - "barplot(df$A, ylab = 'A',xlab = 'no')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "11001454", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "670db495", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "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": "4.1.1" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -}