Overview

Dataset statistics

Number of variables6
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory54.6 B

Variable types

Numeric2
Categorical2
Text1
DateTime1

Dataset

Description인천광역시 중구 소재 유형문화재에 관한 정보입니다.파일명 인천광역시 중구 유형문화재현황내용 유형, 지정번호, 지정일자 등
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15038641&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 지정번호 and 1 other fieldsHigh correlation
지정번호 is highly overall correlated with 연번High correlation
유형 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
문화재명 has unique valuesUnique

Reproduction

Analysis started2024-01-28 13:07:20.651387
Analysis finished2024-01-28 13:07:21.267691
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15
Minimum1
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-01-28T22:07:21.316275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.4
Q18
median15
Q322
95-th percentile27.6
Maximum29
Range28
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.5146932
Coefficient of variation (CV)0.56764621
Kurtosis-1.2
Mean15
Median Absolute Deviation (MAD)7
Skewness0
Sum435
Variance72.5
MonotonicityStrictly increasing
2024-01-28T22:07:21.428380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 1
 
3.4%
2 1
 
3.4%
29 1
 
3.4%
28 1
 
3.4%
27 1
 
3.4%
26 1
 
3.4%
25 1
 
3.4%
24 1
 
3.4%
23 1
 
3.4%
22 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
1 1
3.4%
2 1
3.4%
3 1
3.4%
4 1
3.4%
5 1
3.4%
6 1
3.4%
7 1
3.4%
8 1
3.4%
9 1
3.4%
10 1
3.4%
ValueCountFrequency (%)
29 1
3.4%
28 1
3.4%
27 1
3.4%
26 1
3.4%
25 1
3.4%
24 1
3.4%
23 1
3.4%
22 1
3.4%
21 1
3.4%
20 1
3.4%

유형
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Memory size364.0 B
시 유형
10 
국가등록문화재
6 
문화재자료
5 
시 기념물
3 
사적
2 
Other values (2)
3 

Length

Max length7
Median length6
Mean length5
Min length2

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row사적
2nd row사적
3rd row국가등록문화재
4th row국가등록문화재
5th row국가등록문화재

Common Values

ValueCountFrequency (%)
시 유형 10
34.5%
국가등록문화재 6
20.7%
문화재자료 5
17.2%
시 기념물 3
 
10.3%
사적 2
 
6.9%
시등록문화재 2
 
6.9%
시 민속문화재 1
 
3.4%

Length

2024-01-28T22:07:21.541871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T22:07:21.640849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시 14
32.6%
유형 10
23.3%
국가등록문화재 6
14.0%
문화재자료 5
 
11.6%
기념물 3
 
7.0%
사적 2
 
4.7%
시등록문화재 2
 
4.7%
민속문화재 1
 
2.3%

문화재명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-01-28T22:07:21.808379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length9.1034483
Min length3

Characters and Unicode

Total characters264
Distinct characters91
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row인천 답동성당
2nd row인천 팔미도 등대
3rd row인천 선린동 공화춘
4th row구 일본우선주식회사 인천지점
5th row구 인천부 청사
ValueCountFrequency (%)
구 9
 
13.8%
인천 8
 
12.3%
용궁사 5
 
7.7%
능인교당 2
 
3.1%
인천지점 2
 
3.1%
용동큰우물 1
 
1.5%
성공회성당 1
 
1.5%
신중탱화 1
 
1.5%
수월관음도 1
 
1.5%
느티나무 1
 
1.5%
Other values (34) 34
52.3%
2024-01-28T22:07:22.124578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
 
13.6%
인 15
 
5.7%
천 13
 
4.9%
구 10
 
3.8%
사 10
 
3.8%
지 8
 
3.0%
용 6
 
2.3%
동 6
 
2.3%
당 5
 
1.9%
도 5
 
1.9%
Other values (81) 150
56.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 222
84.1%
Space Separator 36
 
13.6%
Decimal Number 5
 
1.9%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 15
 
6.8%
천 13
 
5.9%
구 10
 
4.5%
사 10
 
4.5%
지 8
 
3.6%
용 6
 
2.7%
동 6
 
2.7%
당 5
 
2.3%
도 5
 
2.3%
점 5
 
2.3%
Other values (76) 139
62.6%
Decimal Number
ValueCountFrequency (%)
8 2
40.0%
1 2
40.0%
5 1
20.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 222
84.1%
Common 42
 
15.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 15
 
6.8%
천 13
 
5.9%
구 10
 
4.5%
사 10
 
4.5%
지 8
 
3.6%
용 6
 
2.7%
동 6
 
2.7%
당 5
 
2.3%
도 5
 
2.3%
점 5
 
2.3%
Other values (76) 139
62.6%
Common
ValueCountFrequency (%)
36
85.7%
8 2
 
4.8%
1 2
 
4.8%
· 1
 
2.4%
5 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 222
84.1%
ASCII 41
 
15.5%
None 1
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
87.8%
8 2
 
4.9%
1 2
 
4.9%
5 1
 
2.4%
Hangul
ValueCountFrequency (%)
인 15
 
6.8%
천 13
 
5.9%
구 10
 
4.5%
사 10
 
4.5%
지 8
 
3.6%
용 6
 
2.7%
동 6
 
2.7%
당 5
 
2.3%
도 5
 
2.3%
점 5
 
2.3%
Other values (76) 139
62.6%
None
ValueCountFrequency (%)
· 1
100.0%

지정번호
Real number (ℝ)

HIGH CORRELATION 

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.51724
Minimum1
Maximum569
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-01-28T22:07:22.225976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.2
Q116
median49
Q3246
95-th percentile563
Maximum569
Range568
Interquartile range (IQR)230

Descriptive statistics

Standard deviation183.71263
Coefficient of variation (CV)1.4184415
Kurtosis1.2765934
Mean129.51724
Median Absolute Deviation (MAD)34
Skewness1.5940097
Sum3756
Variance33750.33
MonotonicityNot monotonic
2024-01-28T22:07:22.325221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
51 2
 
6.9%
287 1
 
3.4%
5 1
 
3.4%
1 1
 
3.4%
31 1
 
3.4%
30 1
 
3.4%
29 1
 
3.4%
24 1
 
3.4%
16 1
 
3.4%
2 1
 
3.4%
Other values (18) 18
62.1%
ValueCountFrequency (%)
1 1
3.4%
2 1
3.4%
5 1
3.4%
7 1
3.4%
8 1
3.4%
9 1
3.4%
15 1
3.4%
16 1
3.4%
17 1
3.4%
19 1
3.4%
ValueCountFrequency (%)
569 1
3.4%
567 1
3.4%
557 1
3.4%
427 1
3.4%
287 1
3.4%
249 1
3.4%
248 1
3.4%
246 1
3.4%
76 1
3.4%
61 1
3.4%

지정일자
Date

Distinct19
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum1981-09-25 00:00:00
Maximum2022-12-19 00:00:00
2024-01-28T22:07:22.423002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:07:22.520466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-08-17
29 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-17
2nd row2023-08-17
3rd row2023-08-17
4th row2023-08-17
5th row2023-08-17

Common Values

ValueCountFrequency (%)
2023-08-17 29
100.0%

Length

2024-01-28T22:07:22.621768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T22:07:22.715971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-17 29
100.0%

Interactions

2024-01-28T22:07:20.972005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:07:20.812803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:07:21.051334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:07:20.893934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T22:07:22.766933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번유형문화재명지정번호지정일자
연번1.0000.8471.0000.5920.606
유형0.8471.0001.0000.5880.955
문화재명1.0001.0001.0001.0001.000
지정번호0.5920.5881.0001.0000.982
지정일자0.6060.9551.0000.9821.000
2024-01-28T22:07:22.856235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지정번호유형
연번1.000-0.6150.595
지정번호-0.6151.0000.382
유형0.5950.3821.000

Missing values

2024-01-28T22:07:21.145728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T22:07:21.232951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번유형문화재명지정번호지정일자데이터기준일자
01사적인천 답동성당2871981-09-252023-08-17
12사적인천 팔미도 등대5572020-09-152023-08-17
23국가등록문화재인천 선린동 공화춘2462006-04-142023-08-17
34국가등록문화재구 일본우선주식회사 인천지점2482006-04-142023-08-17
45국가등록문화재구 인천부 청사2492006-04-142023-08-17
56국가등록문화재인천 제물포고등학교 강당4272008-10-272023-08-17
67국가등록문화재인천 구 대화조 사무소5672013-08-292023-08-17
78국가등록문화재인천 세관 구 창고와 부속동5692013-10-292023-08-17
89시 유형구 인천 일본제1은행지점71982-03-022023-08-17
910시 유형인천우체국81982-03-022023-08-17
연번유형문화재명지정번호지정일자데이터기준일자
1920시 기념물청·일조계지경계계단512002-12-232023-08-17
2021시 기념물삼목도선사주거지552006-09-112023-08-17
2122시 민속문화재용동큰우물21996-06-122023-08-17
2223문화재자료조병수 가옥161997-07-142023-08-17
2324문화재자료능인교당 현왕탱화242009-03-022023-08-17
2425문화재자료양주성금속비292019-07-292023-08-17
2526문화재자료용궁사 신중도302022-12-192023-08-17
2627문화재자료용궁사 지장시왕도312022-12-192023-08-17
2728시등록문화재송학동 옛 시장관사12021-08-092023-08-17
2829시등록문화재구 미쓰이물산 인천지점52022-09-052023-08-17