{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 신용카드 사용 기록"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### 필요한 패키지를 불러온다"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"import seaborn as sns\n",
"import matplotlib.pyplot as plt\n",
"import os\n",
"import warnings\n",
"warnings.filterwarnings('ignore')\n",
"%matplotlib inline"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### 데이터를 불러와서 살펴 본다"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"os.chdir(r\"C:\\Users\\Gram\\Desktop\\아시아경제 수업자료\\01 Python 분석 기초 - 실습\\data\")\n",
"df = pd.read_csv('data_credit.csv', header='infer',encoding='latin1')"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(3362796, 8)"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.shape"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
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" <td>2</td>\n",
" <td>0</td>\n",
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" <td>12:42:31</td>\n",
" <td>0880849c05</td>\n",
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" <td>NaN</td>\n",
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" <td>3</td>\n",
" <td>0</td>\n",
" <td>2016-12-19</td>\n",
" <td>12:48:08</td>\n",
" <td>8b4f9e0e95</td>\n",
" <td>66</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <td>4</td>\n",
" <td>0</td>\n",
" <td>2016-12-19</td>\n",
" <td>13:31:08</td>\n",
" <td>7ad237eed0</td>\n",
" <td>24</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" store_id date time card_id amount installments \\\n",
"0 0 2016-12-14 18:05:31 d297bba73f 5 NaN \n",
"1 0 2016-12-14 18:05:54 d297bba73f -5 NaN \n",
"2 0 2016-12-19 12:42:31 0880849c05 144 NaN \n",
"3 0 2016-12-19 12:48:08 8b4f9e0e95 66 NaN \n",
"4 0 2016-12-19 13:31:08 7ad237eed0 24 NaN \n",
"\n",
" days_of_week holyday \n",
"0 2 0 \n",
"1 2 0 \n",
"2 0 0 \n",
"3 0 0 \n",
"4 0 0 "
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.head(5) #할부가 빈칸(일시불), 홀리데이가 1이면 공휴일"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### 데이터를 클리닝하고 결측치 처리를 한다"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
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" <th></th>\n",
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" <th>date</th>\n",
" <th>time</th>\n",
" <th>card_id</th>\n",
" <th>amount</th>\n",
" <th>installments</th>\n",
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" <th>holyday</th>\n",
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" <td>False</td>\n",
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" <tr>\n",
" <td>2</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
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" <td>False</td>\n",
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" <td>True</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>True</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <td>4</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>True</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
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" <tr>\n",
" <td>3362791</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>True</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
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" <tr>\n",
" <td>3362792</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>True</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <td>3362793</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>True</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
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" <tr>\n",
" <td>3362794</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>True</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <td>3362795</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>True</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>3362796 rows × 8 columns</p>\n",
"</div>"
],
"text/plain": [
" store_id date time card_id amount installments days_of_week \\\n",
"0 False False False False False True False \n",
"1 False False False False False True False \n",
"2 False False False False False True False \n",
"3 False False False False False True False \n",
"4 False False False False False True False \n",
"... ... ... ... ... ... ... ... \n",
"3362791 False False False False False True False \n",
"3362792 False False False False False True False \n",
"3362793 False False False False False True False \n",
"3362794 False False False False False True False \n",
"3362795 False False False False False True False \n",
"\n",
" holyday \n",
"0 False \n",
"1 False \n",
"2 False \n",
"3 False \n",
"4 False \n",
"... ... \n",
"3362791 False \n",
"3362792 False \n",
"3362793 False \n",
"3362794 False \n",
"3362795 False \n",
"\n",
"[3362796 rows x 8 columns]"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 결측치가 분명히 있는 것 같으니 컬럼별 집계해 본다.\n",
"nas = df.isnull() #df.isnull()은 na인 위치에 True인 작성한 데이터프레임\n",
"nas #어디에 결측치가 났는지 인지를 먼저 시킴\n",
" #df.isnull(axis=0)하면 에러남, 자동으로 열계산인듯?"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"store_id 0\n",
"date 0\n",
"time 0\n",
"card_id 0\n",
"amount 0\n",
"installments 3345936\n",
"days_of_week 0\n",
"holyday 0\n",
"dtype: int64"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"(df.isnull()).sum(axis=0) #True는 1로 계산해 sum =>na개수를 칼럼별로 더한다\n",
" #installment에 결측치보임 \n",
"#print(nas.sum(axis=0)) (원래 답)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"3.0 10686\n",
"2.0 3431\n",
"5.0 1220\n",
"6.0 647\n",
"10.0 252\n",
"4.0 209\n",
"12.0 206\n",
"24.0 96\n",
"8.0 32\n",
"7.0 28\n",
"9.0 25\n",
"18.0 11\n",
"20.0 6\n",
"36.0 5\n",
"22.0 4\n",
"15.0 2\n",
"Name: installments, dtype: int64"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# installments 변수의 도수분포를 본다.\n",
"df['installments'].value_counts() #도수분포표는 결측치를 생략하고 보여줌?"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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" <td>1</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>2016-12-19</td>\n",
" <td>12:48:08</td>\n",
" <td>8b4f9e0e95</td>\n",
" <td>66</td>\n",
" <td>1.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <td>4</td>\n",
" <td>0</td>\n",
" <td>2016-12-19</td>\n",
" <td>13:31:08</td>\n",
" <td>7ad237eed0</td>\n",
" <td>24</td>\n",
" <td>1.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" store_id date time card_id amount installments \\\n",
"0 0 2016-12-14 18:05:31 d297bba73f 5 1.0 \n",
"1 0 2016-12-14 18:05:54 d297bba73f -5 1.0 \n",
"2 0 2016-12-19 12:42:31 0880849c05 144 1.0 \n",
"3 0 2016-12-19 12:48:08 8b4f9e0e95 66 1.0 \n",
"4 0 2016-12-19 13:31:08 7ad237eed0 24 1.0 \n",
"\n",
" days_of_week holyday \n",
"0 2 0 \n",
"1 2 0 \n",
"2 0 0 \n",
"3 0 0 \n",
"4 0 0 "
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = df.fillna(value=1) # 일시불이 NA로 처리 되었으니 결측치를 1로 채운다.\n",
"df.head(5)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"1.0 3345936\n",
"3.0 10686\n",
"2.0 3431\n",
"5.0 1220\n",
"6.0 647\n",
"10.0 252\n",
"4.0 209\n",
"12.0 206\n",
"24.0 96\n",
"8.0 32\n",
"7.0 28\n",
"9.0 25\n",
"18.0 11\n",
"20.0 6\n",
"36.0 5\n",
"22.0 4\n",
"15.0 2\n",
"Name: installments, dtype: int64"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 다시 installments 변수의 도수분포를 본다.\n",
"df['installments'].value_counts() #다시 도수분포표 보는 의미가 있음?"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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" <td>2</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
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" <tr>\n",
" <td>4</td>\n",
" <td>0</td>\n",
" <td>7ad237eed0</td>\n",
" <td>24</td>\n",
" <td>1.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
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"</div>"
],
"text/plain": [
" store_id card_id amount installments days_of_week holyday\n",
"0 0 d297bba73f 5 1.0 2 0\n",
"1 0 d297bba73f -5 1.0 2 0\n",
"2 0 0880849c05 144 1.0 0 0\n",
"3 0 8b4f9e0e95 66 1.0 0 0\n",
"4 0 7ad237eed0 24 1.0 0 0"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 일단 date와 time은 사용하지 않겠으니 제거한다\n",
"df = df.drop(columns=['date','time'])\n",
"df.head(5)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### 개개 변수를 다양한 방법으로 요약하고 시각화 한다"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"freq1 = df['store_id'].value_counts() #가맹점 도수분포표\n",
"sns.distplot(freq1.values,bins=50) #가맹점 히스토그램\n",
"plt.show() #결과를 보니 그래프가 한쪽으로 치우쳐 로그변환 필요"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# 큰 skew를 보이므로 log 변환해 본다.\n",
"freq1b = np.log(freq1+1) #freq1데이터를 로그변환\n",
"sns.distplot(freq1b.values,bins=30) #다시 히스토그램 그려봄\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"492.0\n"
]
}
],
"source": [
"print(np.median(freq1))"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0 68773\n",
"753 39318\n",
"105 36063\n",
"1342 33335\n",
"428 33285\n",
"221 31409\n",
"161 27170\n",
"1038 25694\n",
"323 25221\n",
"1366 24946\n",
"Name: store_id, dtype: int64"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Top store id를 본다.\n",
"freq1.sort_values(ascending=False)[:10] #값을 기준 내림차순 소팅"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# card_id의 도수의 히스토그램.\n",
"freq2 = df['card_id'].value_counts()\n",
"sns.distplot(freq2.values,bins=50,color=\"green\")\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# 큰 skew를 보이므로 log 변환해 본다.\n",
"freq2b = np.log(freq2+1)\n",
"sns.distplot(freq2b.values,bins=20,color=\"green\",kde=False)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"53817035d4 835\n",
"93bba5079c 512\n",
"994b71a98a 458\n",
"18549044f3 453\n",
"6b2d18c5c5 433\n",
"10a5c30cda 425\n",
"06e61d93b8 423\n",
"5cf0b23473 413\n",
"0177959e09 409\n",
"a9a1e3d97d 405\n",
"Name: card_id, dtype: int64"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Top 10 card id를 본다.\n",
"freq2.sort_values(ascending=False)[:10]"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# amount의 히스토그램.\n",
"sns.distplot(df.amount,bins=10,kde=False)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.9896"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 실제 구매 or Cancel\n",
"ser = df.amount > 0\n",
"np.round(ser.mean(),4) # 실제 구매의 퍼센티지"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"installments의 가짓수 = 17\n"
]
}
],
"source": [
"# installments의 막대그림\n",
"freq3 = df['installments'].value_counts()\n",
"print(\"installments의 가짓수 = {}\".format((freq3.index).nunique()))"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Seaborn의 countplot(막대그림)이 집계하여 보여준다. \n",
"sns.countplot(data=df, x='installments')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# 1이 너무나 많으니 제거하고 다시 시각화 해본다.\n",
"sns.countplot(data=df[df.installments != 1], x='installments')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"days of week의 가짓수 = 7\n"
]
}
],
"source": [
"# days_of_week의 횟수 막대그림\n",
"freq4 = df['days_of_week'].value_counts()\n",
"print(\"days of week의 가짓수 = {}\".format((freq4.index).nunique()))"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Seaborn의 countplot이 집계하여 보여준다.\n",
"sns.countplot(data=df, x='days_of_week')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# holiday의 막대그림\n",
"sns.countplot(data=df, x='holyday')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### 일변량 요약과 시각화"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"holyday\n",
"0 146.476094\n",
"1 134.881488\n",
"Name: amount, dtype: float64"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 휴일 여부별 평균 사용 금액.\n",
"df.groupby('holyday')['amount'].mean() #휴일 여유별 금액평균"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"days_of_week\n",
"0 143.199131\n",
"1 148.230134\n",
"2 149.429079\n",
"3 150.447155\n",
"4 150.952690\n",
"5 146.961930\n",
"6 131.532084\n",
"Name: amount, dtype: float64"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 요일별 평균 결제 금액.\n",
"ser1 = df.groupby('days_of_week')['amount'].mean()\n",
"ser1"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"sns.barplot(ser1.index, ser1.values)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# store_id 별 평균 결제 금액.\n",
"ser2 = df.groupby('store_id')['amount'].mean()\n",
"sns.distplot(ser2).set_title('Mean Amount by Store')\n",
"plt.show()\n",
"sns.distplot(np.log(ser2+1),color='orange').set_title('Mean Amount by Store [Logged]')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# store_id 별 Total 결제 금액.\n",
"ser2b = df.groupby('store_id')['amount'].sum()\n",
"sns.distplot(ser2b).set_title('Total Amount by Store')\n",
"plt.show()\n",
"sns.distplot(np.log(ser2b+1),color='orange').set_title('Total Amount by Store [Logged]')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# card_id 별 평균 결제 금액.\n",
"ser3 = df.groupby('card_id')['amount'].mean()\n",
"sns.distplot(ser3, kde=False).set_title('Mean Amount by Card')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# card_id 별 Total 결제 금액.\n",
"ser3b = df.groupby('card_id')['amount'].mean()\n",
"sns.distplot(ser3b, kde=False).set_title('Total Amount by Card')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### 분류"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>amount</th>\n",
" <th>category</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <td>0</td>\n",
" <td>5234611</td>\n",
" <td>High</td>\n",
" </tr>\n",
" <tr>\n",
" <td>1</td>\n",
" <td>147950</td>\n",
" <td>Medium</td>\n",
" </tr>\n",
" <tr>\n",
" <td>2</td>\n",
" <td>1615060</td>\n",
" <td>High</td>\n",
" </tr>\n",
" <tr>\n",
" <td>3</td>\n",
" <td>62781</td>\n",
" <td>Medium</td>\n",
" </tr>\n",
" <tr>\n",
" <td>4</td>\n",
" <td>270312</td>\n",
" <td>High</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" amount category\n",
"0 5234611 High\n",
"1 147950 Medium\n",
"2 1615060 High\n",
"3 62781 Medium\n",
"4 270312 High"
]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# store_id 별 Total 결제 금액에 의한 3 등급 분류\n",
"ser2c = pd.qcut(ser2b,3,labels=['Low', 'Medium', 'High'])\n",
"combo2 = pd.DataFrame({\"amount\":ser2b.values, \"category\":ser2c.values})\n",
"combo2.head(5)"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"category\n",
"Low 23272.582770\n",
"Medium 125787.788494\n",
"High 680276.184122\n",
"Name: amount, dtype: float64"
]
},
"execution_count": 35,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 등급별 평균.\n",
"combo2.groupby(\"category\")[\"amount\"].mean()"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>amount</th>\n",
" <th>category</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <td>0</td>\n",
" <td>10.000000</td>\n",
" <td>Low</td>\n",
" </tr>\n",
" <tr>\n",
" <td>1</td>\n",
" <td>55.166667</td>\n",
" <td>Low</td>\n",
" </tr>\n",
" <tr>\n",
" <td>2</td>\n",
" <td>90.000000</td>\n",
" <td>Medium</td>\n",
" </tr>\n",
" <tr>\n",
" <td>3</td>\n",
" <td>80.000000</td>\n",
" <td>Medium</td>\n",
" </tr>\n",
" <tr>\n",
" <td>4</td>\n",
" <td>14.400000</td>\n",
" <td>Low</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" amount category\n",
"0 10.000000 Low\n",
"1 55.166667 Low\n",
"2 90.000000 Medium\n",
"3 80.000000 Medium\n",
"4 14.400000 Low"
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# card_id 별 Total 결제 금액에 의한 3 등급 분류\n",
"ser3c = pd.qcut(ser3b,3,labels=['Low', 'Medium', 'High'])\n",
"combo3 = pd.DataFrame({\"amount\":ser3b.values, \"category\":ser3c.values})\n",
"combo3.head(5)"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"category\n",
"Low 41.028604\n",
"Medium 103.314023\n",
"High 364.835640\n",
"Name: amount, dtype: float64"
]
},
"execution_count": 37,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 등급별 평균.\n",
"combo3.groupby(\"category\")[\"amount\"].mean()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### 이변량 요약과 시각화"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x432 with 3 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# installment 대 amount\n",
"ser = df.groupby('installments')['amount'].mean()\n",
"sns.jointplot(ser.index, ser.values, kind='reg') # installments 로그변환.\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [],
"source": [
"# 거래 횟수 대 총 거래 금액\n",
"sera = np.log(df['store_id'].value_counts()+1) # 로그변환.\n",
"serb = np.log(df.groupby('store_id')['amount'].sum()+1) # 로그변환."
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [],
"source": [
"df2 = pd.concat([sera,serb],axis=1)\n",
"df2.columns = ['Frequency', 'Amount'] # 컬럼 명칭을 바로 쓴다."
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x720 with 3 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"sns.jointplot(x='Frequency',y='Amount',data=df2,kind=\"reg\", size=10)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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": "3.7.4"
}
},
"nbformat": 4,
"nbformat_minor": 2
}