정보과제연구 by 김샘

tatnpopo — 2024-04-05 23:21:13 UTC

손효섭

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수학점수

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그래프 2개 그리기

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import matplotlib.pyplot as plt
import pandas as pd
student=pd.read_csv("/content/STUDENT.csv", encoding='cp949')

print(student)

tatnpopo — 2024-04-20 01:16:41 UTC

!sudo apt-get install -y fonts-nanum
!sudo fc-cache -fv
!rm ~/.cache/matplotlib -rf
plt.rc('font', family='NanumBarunGothic')

한명만 추출하기

2024-04-20 01:31:30 UTC

import matplotlib.pyplot as plt
import pandas as pd
student = pd.read_csv("/content/student2.csv", encoding = 'cp949')
print(student)
student.set_index(['이름'], inplace=True)
plt.plot(student.index, student['정보과제'])
specific_student = student.loc['이코딩']
print(specific_student)
plt.plot(specific_student)

원그래프 그리기

2024-04-20 02:31:41 UTC

import matplotlib.pyplot as plt
import pandas as pd
student = pd.read_csv("/content/student2.csv", encoding = 'cp949')
print(student)
print(student.iloc[2])
fig, axes = plt.subplots(1, 3)
axes[0].pie(student['정보과제'], labels=student['이름'], autopct='%1.1f%%')
axes[1].pie(student['수학'], labels=student['이름'], autopct='%1.1f%%')
axes[2].pie(student['영어'], labels=student['이름'], autopct='%1.1f%%')

22행렬

2024-04-20 02:39:19 UTC

import matplotlib.pyplot as plt
import pandas as pd
student = pd.read_csv("/content/student2.csv", encoding = 'cp949')
print(student)
print(student.iloc[2])
fig, axes = plt.subplots(2, 2)
axes[0,0].pie(student['정보과제'], labels=student['이름'], autopct='%1.1f%%')
axes[0,1].pie(student['수학'], labels=student['이름'], autopct='%1.1f%%')
axes[1,0].pie(student['영어'], labels=student['이름'], autopct='%1.1f%%')
axes[1,1].plot(student['이름'],student['정보과제'])

iloc 로 행의 내용을 꺽은선 그래프 만들기

tatnpopo — 2024-04-20 02:54:51 UTC

import matplotlib.pyplot as plt
import pandas as pd
student = pd.read_csv("/content/student.csv", encoding = 'cp949')
print(student)

student.set_index(['이름'], inplace=True)
print(student)
print(student.iloc[2])
plt.plot(student.iloc[2])

loc 로 행 내용을 꺽은선 그래프 만들기

tatnpopo — 2024-04-20 02:57:52 UTC

import matplotlib.pyplot as plt
import pandas as pd
student = pd.read_csv("/content/student.csv", encoding = 'cp949')
print(student)
print(student.iloc[2])
student.set_index(['이름'], inplace=True)
plt.plot(student.loc['이코딩'])

2024-04-20 03:07:27 UTC

정보과제 연구계획 미완

2024-04-20 03:08:52 UTC

tatnpopo — 2024-04-20 03:09:48 UTC

import matplotlib.pyplot as plt
import pandas as pd
student = pd.read_csv("/content/student.csv", encoding = 'cp949')
print(student)
print(student.iloc[2])
fig, axes = plt.subplots(1, 3)
axes[0].pie(student['정보과제'], labels=student['이름'], autopct='%1.1f%%')
axes[1].pie(student['수학'], labels=student['이름'], autopct='%1.1f%%')
axes[2].pie(student['영어'], labels=student['이름'], autopct='%1.1f%%')

tatnpopo — 2024-04-20 03:14:09 UTC

import matplotlib.pyplot as plt
import pandas as pd
student = pd.read_csv("/content/student.csv", encoding = 'cp949')
print(student)
print(student.iloc[2])

plt.plot(student['이름'],student['정보과제'])
plt.plot(student['이름'],student['영어'])
plt.plot(student['이름'],student['수학'])

막대그래프의 두가지 방법

tatnpopo — 2024-04-20 03:15:56 UTC

import matplotlib.pyplot as plt
import pandas as pd
student = pd.read_csv("/content/student.csv", encoding = 'cp949')
print(student)
student.set_index(['이름'], inplace=True)
plt.bar(student.index, student['정보과제'])

tatnpopo — 2024-04-20 03:16:32 UTC

import matplotlib.pyplot as plt
import pandas as pd
student = pd.read_csv("/content/student.csv", encoding = 'cp949')
print(student)
print(student.iloc[2])

plt.bar(student['이름'],student['정보과제'])

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tatnpopo — 2024-05-06 23:51:51 UTC

손효섭 정보과제연구계획 데이터분석

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정보과제

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찐막

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빅데이터 수상작 모음집

tatnpopo — 2024-05-22 13:06:04 UTC

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수정할점

-동기에 지역별로 유적지와 국보 수를 나타낸 그래프와 그에 대한 내용 추가

-기대효과와 문제점 및 재분석 내용 추가

tatnpopo — 2024-05-25 02:55:45 UTC

2024-05-25 04:37:51 UTC

시각화 할 자료

2024-05-26 15:22:41 UTC

대회참여작품

2024-05-27 12:07:14 UTC

2024-05-29 07:01:22 UTC

시각화 자료

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시각화 자료

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대회작품

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https://gsis.kwdi.re.kr/statHtml/statHtml.do?orgId=338&tblId=DT_1LCB023

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경상도:87.2%

경기도:72.3%

충청도:84.2%

전라도:86.3%

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tatnpopo — 2024-06-01 00:56:06 UTC

tatnpopo — 2024-06-01 00:56:27 UTC

tatnpopo — 2024-06-01 01:19:17 UTC

tatnpopo — 2024-06-01 01:19:39 UTC

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경상도:9812

충청도:5267

경기도:0

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ppt

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수정본

2024-06-01 01:55:05 UTC

tatnpopo — 2024-06-01 01:58:43 UTC

2024-06-01 02:10:53 UTC

ppt자료

2024-06-01 02:14:43 UTC

최종본입니더!!!!!

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ppppppppppppppppppppptttttttttttttttt

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찐막

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https://blog.naver.com/rafjeon/223146559756

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찐막

찐찐막

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발표ppt

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tatnpopo — 2024-06-08 03:12:08 UTC

tatnpopo — 2024-06-08 03:12:19 UTC

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반복문

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반복문

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파이썬 수업자료

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반복문

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음식 선호

코딩 수업

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반복문

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tatnpopo — 2024-06-15 02:11:11 UTC

tatnpopo — 2024-06-15 02:12:12 UTC

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!sudo apt-get install -y fonts-nanum

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!sudo apt-get install -y fonts-nanum

!sudo fc-cache -fv

!rm ~/.cache/matplotlib -rf

import pandas as pd

import matplotlib.pyplot as plt

import matplotlib.font_manager as fm

plt.rc('font', family='NanumGothic')

data = {

"행정구역별(1)": ["경기도", "충청북도", "충청남도", "경상북도", "경상남도"],

"졸업자 (명)": [119579, 11086, 16715, 19467, 29548],

"진학자 (명)": [86486, 9464, 13963, 17388, 25365],

"진학률 (%)": [72.3, 85.4, 83.5, 89.3, 85.8]

}

df = pd.DataFrame(data)

fig, ax = plt.subplots(3, 1, figsize=(10, 15))

# 졸업자 그래프

ax[0].bar(df["행정구역별(1)"], df["졸업자 (명)"], color='blue')

ax[0].set_title("졸업자 수")

ax[0].set_xlabel("행정구역")

ax[0].set_ylabel("명")

# 진학자 그래프

ax[1].bar(df["행정구역별(1)"], df["진학자 (명)"], color='green')

ax[1].set_title("진학자 수")

ax[1].set_xlabel("행정구역")

ax[1].set_ylabel("명")

# 진학률 그래프

ax[2].bar(df["행정구역별(1)"], df["진학률 (%)"], color='red')

ax[2].set_title("진학률")

ax[2].set_xlabel("행정구역")

ax[2].set_ylabel("%")

plt.tight_layout()

plt.show()

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파이썬 시각화

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!sudo apt-get install -y fonts-nanum

!sudo fc-cache -fv

!rm ~/.cache/matplotlib -rf

import pandas as pd

import matplotlib.pyplot as plt

import matplotlib.font_manager as fm

plt.rc('font', family='NanumGothic')

data = {

"행정구역별(1)": ["경기도", "충청북도", "충청남도", "경상북도", "경상남도"],

"졸업자 (명)": [119579, 11086, 16715, 19467, 29548],

"진학자 (명)": [86486, 9464, 13963, 17388, 25365],

"진학률 (%)": [72.3, 85.4, 83.5, 89.3, 85.8]

}

df = pd.DataFrame(data)

fig, ax = plt.subplots(3, 1, figsize=(10, 15))

# 졸업자 그래프

ax[0].bar(df["행정구역별(1)"], df["졸업자 (명)"], color='blue')

ax[0].set_title("졸업자 수")

ax[0].set_xlabel("행정구역")

ax[0].set_ylabel("명")

# 진학자 그래프

ax[1].bar(df["행정구역별(1)"], df["진학자 (명)"], color='green')

ax[1].set_title("진학자 수")

ax[1].set_xlabel("행정구역")

ax[1].set_ylabel("명")

# 진학률 그래프

ax[2].bar(df["행정구역별(1)"], df["진학률 (%)"], color='red')

ax[2].set_title("진학률")

ax[2].set_xlabel("행정구역")

ax[2].set_ylabel("%")

plt.tight_layout()

plt.show()

대본

2024-06-22 00:14:16 UTC

2024-07-13 08:08:18 UTC