{ "cells": [ { "cell_type": "code", "execution_count": 17, "id": "cbc29f8a", "metadata": {}, "outputs": [], "source": [ "# 패키지 로딩하기\n", "import pandas as pd # data handling and data analysis\n", "import seaborn as sns # data visualization\n", "import matplotlib.pyplot as plt # data visualization" ] }, { "cell_type": "code", "execution_count": 6, "id": "0a3514a9", "metadata": {}, "outputs": [], "source": [ "# 데이터 읽어오기\n", "# 데이터의이름 = pandas.read_excel(io = \"directory/filename.xlsx\",\n", "# sheet_name = \"sheet name\" or sheet index,\n", "# header = 0)\n", "\n", "hope = pd.read_excel(io = \"d:/GNU/hope.xlsx\",\n", " sheet_name = \"Sheet1\",\n", " header = 0)\n", "\n", "# hope : python data : RAM에 저장되어 있음\n", "# pd : pandas : 패키지\n", "# read_excel() : 함수\n", "# io, sheet_name : 함수의 parameter" ] }, { "cell_type": "code", "execution_count": 7, "id": "a3a13f96", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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ididolyear
01강동원30
12차은우32
23김범35
34정해인32
45송강32
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" ], "text/plain": [ " id idol year\n", "0 1 강동원 30\n", "1 2 차은우 32\n", "2 3 김범 35\n", "3 4 정해인 32\n", "4 5 송강 32" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# 데이터 보기\n", "# data.head() or data.tail()\n", "hope.head()" ] }, { "cell_type": "code", "execution_count": 8, "id": "70866e24", "metadata": {}, "outputs": [], "source": [ "# 데이터 저장하기 : 하드(HDD)\n", "# 메모리(RAM)에 있는 파이썬 데이터를 하드에 저장\n", "# data.to_excel(excel_writer = \"directory/filename.xlsx\",\n", "# header = True,\n", "# index = False)\n", "hope.to_excel(excel_writer = \"d:/GNU/hope_2022_0818_1555.xlsx\",\n", " header = True,\n", " index = False)" ] }, { "cell_type": "markdown", "id": "4e0a5aa6", "metadata": {}, "source": [ "### 탐색적 데이터 분석(EDA : Exploratory Data Analysis)" ] }, { "cell_type": "code", "execution_count": 9, "id": "8b1cb259", "metadata": {}, "outputs": [], "source": [ "# 데이터의 종류\n", "# 데이터 : 통계 관점\n", "\n", "# 범주형 자료(Categorical Data) : 질적 자료 : 문자, 숫자(숫자의 의미는 없음)\n", "# 수치형 자료(Numerical Data) : 양적 자료 : 숫자(숫자의 의미가 있음)" ] }, { "cell_type": "code", "execution_count": 11, "id": "2d4fea13", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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caratcutcolorclaritydepthtablepricexyz
00.23IdealESI261.555.03263.953.982.43
10.21PremiumESI159.861.03263.893.842.31
20.23GoodEVS156.965.03274.054.072.31
30.29PremiumIVS262.458.03344.204.232.63
40.31GoodJSI263.358.03354.344.352.75
\n", "
" ], "text/plain": [ " carat cut color clarity depth table price x y z\n", "0 0.23 Ideal E SI2 61.5 55.0 326 3.95 3.98 2.43\n", "1 0.21 Premium E SI1 59.8 61.0 326 3.89 3.84 2.31\n", "2 0.23 Good E VS1 56.9 65.0 327 4.05 4.07 2.31\n", "3 0.29 Premium I VS2 62.4 58.0 334 4.20 4.23 2.63\n", "4 0.31 Good J SI2 63.3 58.0 335 4.34 4.35 2.75" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# 예제 데이터\n", "# diamonds = seaborn.load_dataset(\"diamonds\")\n", "diamonds = sns.load_dataset(\"diamonds\")\n", "diamonds.head()" ] }, { "cell_type": "code", "execution_count": 12, "id": "696feddf", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 53940 entries, 0 to 53939\n", "Data columns (total 10 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 carat 53940 non-null float64 \n", " 1 cut 53940 non-null category\n", " 2 color 53940 non-null category\n", " 3 clarity 53940 non-null category\n", " 4 depth 53940 non-null float64 \n", " 5 table 53940 non-null float64 \n", " 6 price 53940 non-null int64 \n", " 7 x 53940 non-null float64 \n", " 8 y 53940 non-null float64 \n", " 9 z 53940 non-null float64 \n", "dtypes: category(3), float64(6), int64(1)\n", "memory usage: 3.0 MB\n" ] } ], "source": [ "# 데이터의 정보(Infomation)\n", "# data.info()\n", "diamonds.info()" ] }, { "cell_type": "code", "execution_count": 13, "id": "933e7aa8", "metadata": {}, "outputs": [], "source": [ "# 1. 범주형 자료의 분석(1개의 열)\n", "# (1) 표 = 빈도표(Frequency Table)\n", "# i. 빈도(Frequency)\n", "# ii. 백분율(Percent) : (빈도/합계)*100(%)" ] }, { "cell_type": "code", "execution_count": 14, "id": "0efa04ad", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Ideal 21551\n", "Premium 13791\n", "Very Good 12082\n", "Good 4906\n", "Fair 1610\n", "Name: cut, dtype: int64" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# 범주형 자료 : cut(품질, 5개), color(색, 7개), clarity(투명도, 8개)\n", "# i. 빈도\n", "# data[\"열의이름\"].value_counts()\n", "# data.열의이름.value_counts()\n", "diamonds.cut.value_counts()" ] }, { "cell_type": "code", "execution_count": 15, "id": "b9fb30de", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Ideal 39.953652\n", "Premium 25.567297\n", "Very Good 22.398962\n", "Good 9.095291\n", "Fair 2.984798\n", "Name: cut, dtype: float64" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# ii. 백분율\n", "# data.열의이름.value_counts(normalize = True)*100\n", "diamonds.cut.value_counts(normalize = True)*100" ] }, { "cell_type": "code", "execution_count": 16, "id": "deca8b89", "metadata": {}, "outputs": [], "source": [ "# (2) 그래프\n", "# i. 막대그래프(Bar Plot, Bar Chart)\n", "# ii. 원그래프(Pie Chart) : 가금적이면 지양함" ] }, { "cell_type": "code", "execution_count": 18, "id": "b4b9b757", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Ideal 21551\n", "Premium 13791\n", "Very Good 12082\n", "Good 4906\n", "Fair 1610\n", "Name: cut, dtype: int64" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# i. matplotlib.pyplot.bar(x = 범주의이름,\n", "# height = 범주의빈도)\n", "# matplotlib.pyplot.show()\n", "cut = diamonds.cut.value_counts()\n", "cut" ] }, { "cell_type": "code", "execution_count": 19, "id": "cf68785d", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "CategoricalIndex(['Ideal', 'Premium', 'Very Good', 'Good', 'Fair'], categories=['Ideal', 'Premium', 'Very Good', 'Good', 'Fair'], ordered=False, dtype='category')" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cut.index # 범주의 이름" ] }, { "cell_type": "code", "execution_count": 21, "id": "1a0417bb", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([21551, 13791, 12082, 4906, 1610], dtype=int64)" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cut.values # 범주의 빈도" ] }, { "cell_type": "code", "execution_count": 22, "id": "e853eeaa", "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.bar(x = cut.index,\n", " height = cut.values)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 23, "id": "5fbae6a9", "metadata": {}, "outputs": [], "source": [ "# 2. 수치형 자료의 분석(1개의 열)\n", "# (1) 표 = 빈도표\n", "# i. 구간의 빈도\n", "# ii. 구간의 백분율\n", "\n", "# (2) 그래프\n", "# i. 히스토그램(Histogram)\n", "# ii. 상자그림(Boxplot)\n", "\n", "# (3) 기술통계량 = 요약통계량\n", "# i. 중심 = 대표값\n", "# ii. 퍼짐 = 산포 = 다름 : *****\n", "# iii. 분포의 모양" ] }, { "cell_type": "code", "execution_count": 24, "id": "d12c17de", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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caratcutcolorclaritydepthtablepricexyzcarat_group
00.23IdealESI261.555.03263.953.982.43Light
10.21PremiumESI159.861.03263.893.842.31Light
20.23GoodEVS156.965.03274.054.072.31Light
30.29PremiumIVS262.458.03344.204.232.63Light
40.31GoodJSI263.358.03354.344.352.75Light
\n", "
" ], "text/plain": [ " carat cut color clarity depth table price x y z \\\n", "0 0.23 Ideal E SI2 61.5 55.0 326 3.95 3.98 2.43 \n", "1 0.21 Premium E SI1 59.8 61.0 326 3.89 3.84 2.31 \n", "2 0.23 Good E VS1 56.9 65.0 327 4.05 4.07 2.31 \n", "3 0.29 Premium I VS2 62.4 58.0 334 4.20 4.23 2.63 \n", "4 0.31 Good J SI2 63.3 58.0 335 4.34 4.35 2.75 \n", "\n", " carat_group \n", "0 Light \n", "1 Light \n", "2 Light \n", "3 Light \n", "4 Light " ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# (1) 빈도표\n", "# 수치형 자료를 이용해서 구간의 정보를 갖는 새로운 범주형 자료를 만듬\n", "\n", "# 0이상 ~ 2미만 : \"Light\"\n", "# 2이상 ~ 4미만 : \"Middle\"\n", "# 4이상 ~ 6미만 : \"Heavy\"\n", "\n", "# carat -> carat_group\n", "\n", "# data[\"새로운열의이름\"] = pandas.cut(data.수치형자료,\n", "# bins = 구간의 정보,\n", "# right = False,\n", "# labels = 구간의 이름)\n", "\n", "diamonds[\"carat_group\"] = pd.cut(diamonds.carat,\n", " bins = [0, 2, 4, 6],\n", " right = False,\n", " labels = [\"Light\", \"Middle\", \"Heavy\"])\n", "diamonds.head()" ] }, { "cell_type": "code", "execution_count": 25, "id": "d6079b67", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Light 51786\n", "Middle 2148\n", "Heavy 6\n", "Name: carat_group, dtype: int64" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "diamonds.carat_group.value_counts()" ] }, { "cell_type": "code", "execution_count": 26, "id": "9de4d0b2", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Light 96.006674\n", "Middle 3.982202\n", "Heavy 0.011123\n", "Name: carat_group, dtype: float64" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "diamonds.carat_group.value_counts(normalize = True)*100" ] }, { "cell_type": "code", "execution_count": 27, "id": "c332e396", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# (2) 데이터 시각화\n", "# i. 히스토그램(Histogram)\n", "# plt.hist(x = data.수치형자료,\n", "# bins = 구간의 정보 또는 구간의 개수)\n", "# plt.show()\n", "\n", "plt.hist(x = diamonds.carat) # Sturge's Formula\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 28, "id": "fe59ac3e", "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.hist(x = diamonds.carat,\n", " bins = [0, 2, 4, 6]) # 구간의 정보\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 29, "id": "5ced066a", "metadata": {}, "outputs": [ { "data": { "image/png": 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Tk+7P0JJsTvLutn0+8AHgBxPt1ECq6o6q2lZVU8z/f/9mVX1kwt0aRJIL2okLJLkA+H1gWc/eW/WhX1WvAz+/dMNx4NASLt2wpiX5EvAI8J4ks0lumXSfBnQt8FHmZ3lPttsHJ92pAW0BvpXkn5mf+DxcVV2dutipS4HvJPke8BjwYFV9fTlfYNWfsilJWj6rfqYvSVo+hr4kdcTQl6SOGPqS1BFDX5I6YuhLUkcMfUnqyP8Cqb3uG97CVf4AAAAASUVORK5CYII=\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.hist(x = diamonds.carat,\n", " bins = 100) # 구간의 개수\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 30, "id": "fe3519c5", "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# ii. 상자그림(Boxplot)\n", "# 이상치(outlier) 유무를 시각화\n", "# plt.boxplot(x = data.수치형자료)\n", "# plt.show()\n", "\n", "plt.boxplot(x = diamonds.carat)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "3ff2be99", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.12" } }, "nbformat": 4, "nbformat_minor": 5 }