Overview

Dataset statistics

Number of variables5
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory47.7 B

Variable types

Text2
Numeric2
DateTime1

Dataset

Description경기도 광주시 관내 문화재영향검토구역 현황에 대한 데이터로 문화재명, 지번주소, x좌표, y좌표 등을 제공합니다.
Author경기도 광주시
URLhttps://www.data.go.kr/data/15042227/fileData.do

Alerts

데이터기준일 has constant value ""Constant
문화재명 has unique valuesUnique
지번주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:12:18.589256
Analysis finished2023-12-12 10:12:19.303740
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

문화재명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T19:12:19.430409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length5.4347826
Min length3

Characters and Unicode

Total characters125
Distinct characters72
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row남한산성 행궁지
2nd row추곡리 백련암부도
3rd row신흠묘역 및 신도비
4th row곤지바위
5th row김자수선생 묘
ValueCountFrequency (%)
묘 6
 
16.7%
남한산성 1
 
2.8%
김균선생 1
 
2.8%
현절사 1
 
2.8%
연무관 1
 
2.8%
숭렬전 1
 
2.8%
수어장대 1
 
2.8%
청량당 1
 
2.8%
망월사지 1
 
2.8%
개원사지 1
 
2.8%
Other values (21) 21
58.3%
2023-12-12T19:12:19.811341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
 
10.4%
묘 8
 
6.4%
생 6
 
4.8%
사 5
 
4.0%
지 5
 
4.0%
선 5
 
4.0%
신 4
 
3.2%
장 3
 
2.4%
수 3
 
2.4%
당 2
 
1.6%
Other values (62) 71
56.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 112
89.6%
Space Separator 13
 
10.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
묘 8
 
7.1%
생 6
 
5.4%
사 5
 
4.5%
지 5
 
4.5%
선 5
 
4.5%
신 4
 
3.6%
장 3
 
2.7%
수 3
 
2.7%
당 2
 
1.8%
군 2
 
1.8%
Other values (61) 69
61.6%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 112
89.6%
Common 13
 
10.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
묘 8
 
7.1%
생 6
 
5.4%
사 5
 
4.5%
지 5
 
4.5%
선 5
 
4.5%
신 4
 
3.6%
장 3
 
2.7%
수 3
 
2.7%
당 2
 
1.8%
군 2
 
1.8%
Other values (61) 69
61.6%
Common
ValueCountFrequency (%)
13
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 112
89.6%
ASCII 13
 
10.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13
100.0%
Hangul
ValueCountFrequency (%)
묘 8
 
7.1%
생 6
 
5.4%
사 5
 
4.5%
지 5
 
4.5%
선 5
 
4.5%
신 4
 
3.6%
장 3
 
2.7%
수 3
 
2.7%
당 2
 
1.8%
군 2
 
1.8%
Other values (61) 69
61.6%

지번주소
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T19:12:20.062354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length22.043478
Min length14

Characters and Unicode

Total characters507
Distinct characters51
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row경기도 광주시 남한산성면 산성리 산23
2nd row경기도 광주시 도척면 추곡리 산64
3rd row경기도 광주시 퇴촌면 영동 리 산12-1
4th row경기도 광주시 곤지암읍 곤지암리 453-20
5th row경기도 광주시 오포읍 신현리 1000-1
ValueCountFrequency (%)
경기도 23
20.0%
광주시 23
20.0%
남한산성면 12
 
10.4%
산성리 11
 
9.6%
815-1 2
 
1.7%
초월읍 2
 
1.7%
오포읍 2
 
1.7%
곤지암읍 2
 
1.7%
곤지암리 2
 
1.7%
퇴촌면 2
 
1.7%
Other values (33) 34
29.6%
2023-12-12T19:12:20.484406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
107
21.1%
산 31
 
6.1%
1 29
 
5.7%
도 26
 
5.1%
경 23
 
4.5%
광 23
 
4.5%
주 23
 
4.5%
시 23
 
4.5%
기 23
 
4.5%
성 23
 
4.5%
Other values (41) 176
34.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 308
60.7%
Space Separator 107
 
21.1%
Decimal Number 77
 
15.2%
Dash Punctuation 15
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 31
10.1%
도 26
 
8.4%
경 23
 
7.5%
광 23
 
7.5%
주 23
 
7.5%
시 23
 
7.5%
기 23
 
7.5%
성 23
 
7.5%
리 22
 
7.1%
면 16
 
5.2%
Other values (29) 75
24.4%
Decimal Number
ValueCountFrequency (%)
1 29
37.7%
2 9
 
11.7%
0 8
 
10.4%
5 6
 
7.8%
4 5
 
6.5%
9 5
 
6.5%
8 5
 
6.5%
7 4
 
5.2%
6 3
 
3.9%
3 3
 
3.9%
Space Separator
ValueCountFrequency (%)
107
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 308
60.7%
Common 199
39.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 31
10.1%
도 26
 
8.4%
경 23
 
7.5%
광 23
 
7.5%
주 23
 
7.5%
시 23
 
7.5%
기 23
 
7.5%
성 23
 
7.5%
리 22
 
7.1%
면 16
 
5.2%
Other values (29) 75
24.4%
Common
ValueCountFrequency (%)
107
53.8%
1 29
 
14.6%
- 15
 
7.5%
2 9
 
4.5%
0 8
 
4.0%
5 6
 
3.0%
4 5
 
2.5%
9 5
 
2.5%
8 5
 
2.5%
7 4
 
2.0%
Other values (2) 6
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 308
60.7%
ASCII 199
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
107
53.8%
1 29
 
14.6%
- 15
 
7.5%
2 9
 
4.5%
0 8
 
4.0%
5 6
 
3.0%
4 5
 
2.5%
9 5
 
2.5%
8 5
 
2.5%
7 4
 
2.0%
Other values (2) 6
 
3.0%
Hangul
ValueCountFrequency (%)
산 31
10.1%
도 26
 
8.4%
경 23
 
7.5%
광 23
 
7.5%
주 23
 
7.5%
시 23
 
7.5%
기 23
 
7.5%
성 23
 
7.5%
리 22
 
7.1%
면 16
 
5.2%
Other values (29) 75
24.4%

좌표(X)
Real number (ℝ)

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.430278
Minimum37.283299
Maximum37.481283
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T19:12:20.669162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.283299
5-th percentile37.299146
Q137.376703
median37.474481
Q337.478553
95-th percentile37.48056
Maximum37.481283
Range0.19798434
Interquartile range (IQR)0.10184977

Descriptive statistics

Standard deviation0.065706511
Coefficient of variation (CV)0.0017554375
Kurtosis-0.1442944
Mean37.430278
Median Absolute Deviation (MAD)0.00680223
Skewness-1.1073715
Sum860.89638
Variance0.0043173456
MonotonicityNot monotonic
2023-12-12T19:12:20.831897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
37.47986871 2
 
8.7%
37.47892458 1
 
4.3%
37.39994311 1
 
4.3%
37.47527585 1
 
4.3%
37.47781279 1
 
4.3%
37.47845948 1
 
4.3%
37.48128285 1
 
4.3%
37.47830959 1
 
4.3%
37.47448062 1
 
4.3%
37.43236787 1
 
4.3%
Other values (12) 12
52.2%
ValueCountFrequency (%)
37.28329851 1
4.3%
37.29354655 1
4.3%
37.34954336 1
4.3%
37.35226161 1
4.3%
37.35244603 1
4.3%
37.35346282 1
4.3%
37.39994311 1
4.3%
37.42553341 1
4.3%
37.43236787 1
4.3%
37.45625484 1
4.3%
ValueCountFrequency (%)
37.48128285 1
4.3%
37.48063649 1
4.3%
37.47986871 2
8.7%
37.47892458 1
4.3%
37.478646 1
4.3%
37.47845948 1
4.3%
37.47830959 1
4.3%
37.47781279 1
4.3%
37.47604921 1
4.3%
37.47527585 1
4.3%

좌표(Y)
Real number (ℝ)

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.22836
Minimum127.14277
Maximum127.35505
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T19:12:21.021591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.14277
5-th percentile127.15683
Q1127.18194
median127.19074
Q3127.28941
95-th percentile127.33817
Maximum127.35505
Range0.2122859
Interquartile range (IQR)0.1074687

Descriptive statistics

Standard deviation0.067653729
Coefficient of variation (CV)0.0005317504
Kurtosis-1.0610266
Mean127.22836
Median Absolute Deviation (MAD)0.0141555
Skewness0.74176929
Sum2926.2522
Variance0.0045770271
MonotonicityNot monotonic
2023-12-12T19:12:21.232668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
127.1765796 2
 
8.7%
127.1794618 1
 
4.3%
127.1843432 1
 
4.3%
127.197953 1
 
4.3%
127.1907351 1
 
4.3%
127.1864882 1
 
4.3%
127.1803972 1
 
4.3%
127.1962021 1
 
4.3%
127.1857399 1
 
4.3%
127.3065923 1
 
4.3%
Other values (12) 12
52.2%
ValueCountFrequency (%)
127.1427675 1
4.3%
127.1546398 1
4.3%
127.1765796 2
8.7%
127.1794618 1
4.3%
127.1803972 1
4.3%
127.1834787 1
4.3%
127.1843432 1
4.3%
127.1857399 1
4.3%
127.1864882 1
4.3%
127.1884703 1
4.3%
ValueCountFrequency (%)
127.3550534 1
4.3%
127.3387542 1
4.3%
127.3329184 1
4.3%
127.3318898 1
4.3%
127.3065923 1
4.3%
127.2967012 1
4.3%
127.2821121 1
4.3%
127.2690266 1
4.3%
127.2153196 1
4.3%
127.197953 1
4.3%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2022-09-13 00:00:00
Maximum2022-09-13 00:00:00
2023-12-12T19:12:21.368674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:12:21.506661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T19:12:18.944076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:12:18.748432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:12:19.048011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:12:18.860606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:12:21.603242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
문화재명지번주소좌표(X)좌표(Y)
문화재명1.0001.0001.0001.000
지번주소1.0001.0001.0001.000
좌표(X)1.0001.0001.0000.924
좌표(Y)1.0001.0000.9241.000
2023-12-12T19:12:21.727694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
좌표(X)좌표(Y)
좌표(X)1.000-0.435
좌표(Y)-0.4351.000

Missing values

2023-12-12T19:12:19.170634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:12:19.266914image/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

문화재명지번주소좌표(X)좌표(Y)데이터기준일
0남한산성 행궁지경기도 광주시 남한산성면 산성리 산2337.478925127.1794622022-09-13
1추곡리 백련암부도경기도 광주시 도척면 추곡리 산6437.283299127.2821122022-09-13
2신흠묘역 및 신도비경기도 광주시 퇴촌면 영동 리 산12-137.45811127.3329182022-09-13
3곤지바위경기도 광주시 곤지암읍 곤지암리 453-2037.349543127.3387542022-09-13
4김자수선생 묘경기도 광주시 오포읍 신현리 1000-137.352262127.1427682022-09-13
5허난설현 묘경기도 광주시 초월읍 지월리 산29-737.425533127.2967012022-09-13
6최항선생 묘경기도 광주시 퇴촌면 도마리 산1137.456255127.2690272022-09-13
7지수당경기도 광주시 남한산성면 산성리 16437.476049127.188472022-09-13
8의안대군 묘역경기도 광주시 남한산성면 엄미리 산15237.480636127.215322022-09-13
9침괘정경기도 광주시 남한산성면 산성리 591-137.478646127.1834792022-09-13
문화재명지번주소좌표(X)좌표(Y)데이터기준일
13유정리 석불좌상경기도 광주시 도척면 유정리 182-137.293547127.331892022-09-13
14신익희선생 생가경기도 광주시 초월읍 서하리 160-137.432368127.3065922022-09-13
15개원사지경기도 광주시 남한산성면 산성리 198-537.474481127.185742022-09-13
16망월사지경기도 광주시 남한산성면 산성리 1437.47831127.1962022022-09-13
17청량당경기도 광주시 남한산성면 산성리 815-137.479869127.176582022-09-13
18수어장대경기도 광주시 남한산성면 산성리 815-137.479869127.176582022-09-13
19숭렬전경기도 광주시 남한산성면 산성리 71737.481283127.1803972022-09-13
20연무관경기도 광주시 남한산성면 산성리 400-137.478459127.1864882022-09-13
21현절사경기도 광주시 남한산성면 산성리 310-137.477813127.1907352022-09-13
22장경사경기도 광주시 남한산성면 산성리 22-137.475276127.1979532022-09-13