데이터분석 시각화 문제.py

#!/usr/bin/env python
# coding: utf-8

# ## [문제1] 일별 확진자 수 시각화하기

# In[1]:


# -*- incoding: utf-8 -*-
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import time as t


# In[2]:


covid19 = []
date = []
xl=pd.ExcelFile("covid.xls")
df=xl.parse('Sheet1')
for day in df['날짜']:
    date.append((str(day)[5:7] + '/' + str(day)[8:10]))
for i, d in enumerate(date):
    covid19.append({'date': d, 'people': df['일별확진자수'][i]})
covid19
# covid19 = [
#     {'date': '04/25', 'people': 10},
#     {'date': '04/26', 'people': 10},
#     {'date': '04/27', 'people': 10},
#     {'date': '04/28', 'people': 14},
#     {'date': '04/29', 'people': 9},
#     {'date': '04/30', 'people': 4},
#     {'date': '05/01', 'people': 4},
# ]


# In[3]:


plt.rc('font', family='Malgun Gothic')

date = []
people = []
for day in covid19:
    date.append(day['date'])
    people.append(day['people'])
    
plt.figure(figsize = (12, 6))
plt.plot(date, people, color='pink', label='확진자 수')
plt.grid(True, color='gray', alpha=0.5)
plt.xlabel('날짜',fontsize=14)
plt.ylabel('확진자 수',fontsize=14)
plt.title('코로나19 일별 확진자 수',fontsize='18')
plt.legend()


# ## [문제2] 누적 확진자 수와 누적 격리해제에 대한 시각화하기

# In[4]:


covid19 = {}
date = []
xl=pd.ExcelFile("covid.xls")
df=xl.parse('Sheet1')
for day in df['날짜']:
    date.append((str(day)[5:7] + '/' + str(day)[8:10]))
for i, d in enumerate(date):
    covid19.update({d: {'확진': df['누적환자수'][i], '격리해제': df['누적격리해제'][i]}})
covid19
# covid19 = {
#     '04/25': {"확진": 10718, '격리해제': 8635},
#     '04/26': {"확진": 10728, '격리해제': 8717},
#     '04/27': {"확진": 10738, '격리해제': 8764},
#     '04/28': {"확진": 10752, '격리해제': 8854},
#     '04/29': {"확진": 10761, '격리해제': 8922},
#     '04/30': {"확진": 10765, '격리해제': 9059},
#     '05/01': {"확진": 10774, '격리해제': 9072},
# }


# In[5]:


date = []
hak = []
kyeok = []
for day in covid19.items():
    date.append(day[0])
    hak.append(day[1]['확진'])
    kyeok.append(day[1]['격리해제'])

plt.figure(figsize = (12, 6))
plt.plot(date, hak, label='누적 확진자 수', color='red')
plt.plot(date, kyeok, label='누적 격리해제', color='orange')
plt.legend(loc="center left", title='범주')
plt.grid(True, color='gray', alpha=0.5)
plt.xlabel('날짜',fontsize=14)
plt.ylabel('명',fontsize=14)
plt.title('코로나19 확진, 격리해제 추세',fontsize='18')


# ## [문제3] 연령대별 확진자 수 시각화하기

# In[6]:


xl=pd.ExcelFile("covid.xls")    
df=xl.parse('Sheet2')
covid19 = dict(zip(df['구분'], df['확진자(명)']))
covid19
# covid19 = {
#     "80이상": 488,
#     "70~79": 710,
#     "60~69": 1351,
#     "50~59": 1956,
#     "40~49": 1432,
#     "30~39": 1163,
#     "20~29": 2962,
#     "10~19": 591,
#     "0~9": 140,
# }


# In[7]:


age = []
people = []
for day in covid19.items():
    age.append(day[0])
    people.append(day[1])

plt.figure(figsize = (16,8))
for i in range(len(age)):
    plt.text(people[i], i-0.1, f"{people[i]}명", color='red', size='large')
plt.barh(age, people, label='확진자 수')
plt.legend(loc="best")
plt.grid(True, color='gray', alpha=0.5)
plt.xlabel('연령대',fontsize=14)
plt.ylabel('명',fontsize=14)
plt.title('코로나19 연령대별 확진자 수',fontsize='18')


# ## [문제4] 연령대별 확진/사망자 수 시각화하기

# In[8]:


date = []
people = []
covid19 = {}
xl=pd.ExcelFile("covid.xls")    
df=xl.parse('Sheet2')
for i in range(df['구분'].size):
    covid19.update({df['구분'][i]: {'확진': df['확진자(명)'][i], '사망': df['사망자(명)'][i]}})
covid19
# covid19 = {
#     "80이상": {"확진": 488, "사망": 120},
#     "70~79": {"확진": 710, "사망": 75},
#     "60~69": {"확진": 1351, "사망": 35},
#     "50~59": {"확진": 1956, "사망": 15},
#     "40~49": {"확진": 1432, "사망": 3},
#     "30~39": {"확진": 1163, "사망": 2},
#     "20~29": {"확진": 2962, "사망": 0},
#     "10~19": {"확진": 591, "사망": 0},
#     "0~9": {"확진": 140, "사망": 0},
# }


# In[1]:


bar_width = 0.4
age = []
live = []
dead = []
for day in covid19.items():
    age.append(day[0])
    live.append(day[1]['확진'])
    dead.append(day[1]['사망'])
x = np.arange(0, len(age))   
    
plt.figure(figsize = (16, 8))
for i in range(len(age)):
    plt.text(i-0.2, live[i]+20, f'{live[i]}명', size='medium', ha='center', color='blue')
    plt.text(i+0.2, dead[i]+20, f'{dead[i]}명', size='medium', ha='center', color='red')
plt.bar(x-0.2, live, bar_width, label='확진')
plt.bar(x+0.2, dead, bar_width, label='사망', color='red')
plt.legend(loc="best")
plt.grid(True, color='gray', alpha=0.5)
plt.xlabel('연령대',fontsize=14)
plt.ylabel('명',fontsize=14)
plt.title('연령대별 확진자/사망자 수',fontsize='18')
plt.xticks(x, labels=age)


# ## [문제5] 연령대별 확진비율 시각화하기

# In[11]:


covid19


# In[10]:


age = []
live = []
for day in covid19.items():
    age.append(day[0])
    live.append(day[1]['확진'])
    
plt.figure(figsize = (10, 10))
plt.pie(live, labels=age, autopct='%1.2f%%')
plt.title('연령대별 확진 비율',fontsize='18')