공공데이터 분석(커피전문점) - 시각화

## 운영체제별 글꼴 세팅

path = "c:/Windows/Fonts/malgun.ttf"
if platform.system() == 'Darwin':
    font_name = 'Apple SD Gothic Neo'
    rc('font', family='Apple SD Gothic Neo')
elif platform.system() == 'Windows':
    font_name = font_manager.FontProperties(fname=path).get_name()
    rc('font', family=font_name)
else:
    font_name = font_manager.FontProperties(fname="/usr/share/fonts/nanumfont/NanumGothic.ttf")
    rc('font', family="NanumGothic")

# 주요 5대 커피브랜드 서울 입점 비율을 시각화합니다.
starbucks_rate = (len(df_seoul_starbucks) / len(df_seoul_coffee) * 100)
ediya_rate = (len(df_seoul_ediya) / len(df_seoul_coffee)* 100)
hollys_rate = (len(df_seoul_hollys) / len(df_seoul_coffee)* 100)
twosome_rate = (len(df_seoul_2some) / len(df_seoul_coffee)* 100)
mega_rate = (len(df_seoul_mega) / len(df_seoul_coffee)* 100)


# starbucks_rate = (len(df_seoul_starbucks) / len(df_starbucks) * 100)
# twosome_rate = (len(df_seoul_2some) / len(df_2some) * 100)
# ediya_rate = (len(df_seoul_ediya) / len(df_ediya) * 100)
# mega_rate = (len(df_seoul_mega) / len(df_mega) * 100)
# coffeebean_rate = (len(df_seoul_coffeebean) / len(df_coffeebean) * 100)

X = ["스타벅스", "투썸플레이스", "이디야", "할리스", "메가커피"]
y = [starbucks_rate, twosome_rate, ediya_rate, hollys_rate, mega_rate]

plt.figure(figsize=(12, 12))
plt.title("주요 5대 커피브랜드 서울 입점 비율", fontdict={"fontsize" : 20})
plt.xticks(fontsize=16)
plt.yticks(fontsize=16)
sns.barplot(x=X, y=y)
plt.savefig("coffee_barplot.png")
plt.show()