Overview

Dataset statistics

Number of variables7
Number of observations204
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.7 KiB
Average record size in memory58.6 B

Variable types

Numeric2
Categorical2
Text2
DateTime1

Dataset

Description인천광역시 남동구 공공건축물 현황에 대한 데이터로(시도명, 시군구명, 재산명, 소재지, 면적, 데이터기준일) 등을 제공합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15112895&srcSe=7661IVAWM27C61E190

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
데이터기준일 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-28 05:13:43.076322
Analysis finished2024-01-28 05:13:43.847369
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct204
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.5
Minimum1
Maximum204
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-01-28T14:13:43.907601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.15
Q151.75
median102.5
Q3153.25
95-th percentile193.85
Maximum204
Range203
Interquartile range (IQR)101.5

Descriptive statistics

Standard deviation59.033889
Coefficient of variation (CV)0.57594038
Kurtosis-1.2
Mean102.5
Median Absolute Deviation (MAD)51
Skewness0
Sum20910
Variance3485
MonotonicityStrictly increasing
2024-01-28T14:13:44.029152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
142 1
 
0.5%
132 1
 
0.5%
133 1
 
0.5%
134 1
 
0.5%
135 1
 
0.5%
136 1
 
0.5%
137 1
 
0.5%
138 1
 
0.5%
139 1
 
0.5%
Other values (194) 194
95.1%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
204 1
0.5%
203 1
0.5%
202 1
0.5%
201 1
0.5%
200 1
0.5%
199 1
0.5%
198 1
0.5%
197 1
0.5%
196 1
0.5%
195 1
0.5%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
인천광역시
204 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row인천광역시
2nd row인천광역시
3rd row인천광역시
4th row인천광역시
5th row인천광역시

Common Values

ValueCountFrequency (%)
인천광역시 204
100.0%

Length

2024-01-28T14:13:44.133399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T14:13:44.205682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 204
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
남동구
204 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row남동구
2nd row남동구
3rd row남동구
4th row남동구
5th row남동구

Common Values

ValueCountFrequency (%)
남동구 204
100.0%

Length

2024-01-28T14:13:44.285503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T14:13:44.359062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남동구 204
100.0%

재산명
Text

Distinct202
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-01-28T14:13:44.511226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length18
Mean length9.1666667
Min length4

Characters and Unicode

Total characters1870
Distinct characters229
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique201 ?
Unique (%)98.5%

Sample

1st row석천초교내비상급수시설
2nd row구월2동청사
3rd row구립 지역아동센터
4th row구월4동경로당
5th row남동문화근린공원 관리사무소
ValueCountFrequency (%)
국공립 10
 
3.8%
농업용관정 3
 
1.1%
공중화장실 3
 
1.1%
관리사무소 3
 
1.1%
화장실 3
 
1.1%
만부마을 3
 
1.1%
근린공원 2
 
0.8%
남동어린이집 2
 
0.8%
및 2
 
0.8%
체육센터(건물 2
 
0.8%
Other values (228) 233
87.6%
2024-01-28T14:13:45.012182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 87
 
4.7%
공 76
 
4.1%
장 69
 
3.7%
64
 
3.4%
로 45
 
2.4%
실 44
 
2.4%
남 43
 
2.3%
당 43
 
2.3%
화 43
 
2.3%
경 43
 
2.3%
Other values (219) 1313
70.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1724
92.2%
Space Separator 64
 
3.4%
Decimal Number 44
 
2.4%
Close Punctuation 18
 
1.0%
Open Punctuation 18
 
1.0%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 87
 
5.0%
공 76
 
4.4%
장 69
 
4.0%
로 45
 
2.6%
실 44
 
2.6%
남 43
 
2.5%
당 43
 
2.5%
화 43
 
2.5%
경 43
 
2.5%
원 42
 
2.4%
Other values (206) 1189
69.0%
Decimal Number
ValueCountFrequency (%)
2 11
25.0%
1 8
18.2%
3 7
15.9%
4 6
13.6%
6 5
11.4%
0 2
 
4.5%
5 2
 
4.5%
7 2
 
4.5%
8 1
 
2.3%
Space Separator
ValueCountFrequency (%)
64
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1724
92.2%
Common 146
 
7.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 87
 
5.0%
공 76
 
4.4%
장 69
 
4.0%
로 45
 
2.6%
실 44
 
2.6%
남 43
 
2.5%
당 43
 
2.5%
화 43
 
2.5%
경 43
 
2.5%
원 42
 
2.4%
Other values (206) 1189
69.0%
Common
ValueCountFrequency (%)
64
43.8%
) 18
 
12.3%
( 18
 
12.3%
2 11
 
7.5%
1 8
 
5.5%
3 7
 
4.8%
4 6
 
4.1%
6 5
 
3.4%
0 2
 
1.4%
5 2
 
1.4%
Other values (3) 5
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1724
92.2%
ASCII 146
 
7.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 87
 
5.0%
공 76
 
4.4%
장 69
 
4.0%
로 45
 
2.6%
실 44
 
2.6%
남 43
 
2.5%
당 43
 
2.5%
화 43
 
2.5%
경 43
 
2.5%
원 42
 
2.4%
Other values (206) 1189
69.0%
ASCII
ValueCountFrequency (%)
64
43.8%
) 18
 
12.3%
( 18
 
12.3%
2 11
 
7.5%
1 8
 
5.5%
3 7
 
4.8%
4 6
 
4.1%
6 5
 
3.4%
0 2
 
1.4%
5 2
 
1.4%
Other values (3) 5
 
3.4%

소재지
Text

Distinct180
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-01-28T14:13:45.310379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length40
Mean length20.421569
Min length17

Characters and Unicode

Total characters4166
Distinct characters57
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique166 ?
Unique (%)81.4%

Sample

1st row인천광역시 남동구 구월동 21
2nd row인천광역시 남동구 구월동 23-1
3rd row인천광역시 남동구 구월동 349-652
4th row인천광역시 남동구 구월동 349-753
5th row인천광역시 남동구 구월동 643-10
ValueCountFrequency (%)
인천광역시 204
24.6%
남동구 204
24.6%
만수동 58
 
7.0%
구월동 39
 
4.7%
간석동 31
 
3.7%
논현동 28
 
3.4%
서창동 10
 
1.2%
남촌동 10
 
1.2%
고잔동 10
 
1.2%
도림동 8
 
1.0%
Other values (191) 226
27.3%
2024-01-28T14:13:45.740018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
865
20.8%
동 411
 
9.9%
구 243
 
5.8%
남 214
 
5.1%
인 205
 
4.9%
천 205
 
4.9%
광 204
 
4.9%
역 204
 
4.9%
시 204
 
4.9%
1 190
 
4.6%
Other values (47) 1221
29.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2281
54.8%
Space Separator 865
 
20.8%
Decimal Number 859
 
20.6%
Dash Punctuation 157
 
3.8%
Uppercase Letter 2
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 411
18.0%
구 243
10.7%
남 214
9.4%
인 205
9.0%
천 205
9.0%
광 204
8.9%
역 204
8.9%
시 204
8.9%
수 66
 
2.9%
만 59
 
2.6%
Other values (31) 266
11.7%
Decimal Number
ValueCountFrequency (%)
1 190
22.1%
6 91
10.6%
4 91
10.6%
2 88
10.2%
5 85
9.9%
3 80
9.3%
8 67
 
7.8%
7 65
 
7.6%
0 53
 
6.2%
9 49
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
H 1
50.0%
L 1
50.0%
Space Separator
ValueCountFrequency (%)
865
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 157
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2281
54.8%
Common 1883
45.2%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 411
18.0%
구 243
10.7%
남 214
9.4%
인 205
9.0%
천 205
9.0%
광 204
8.9%
역 204
8.9%
시 204
8.9%
수 66
 
2.9%
만 59
 
2.6%
Other values (31) 266
11.7%
Common
ValueCountFrequency (%)
865
45.9%
1 190
 
10.1%
- 157
 
8.3%
6 91
 
4.8%
4 91
 
4.8%
2 88
 
4.7%
5 85
 
4.5%
3 80
 
4.2%
8 67
 
3.6%
7 65
 
3.5%
Other values (4) 104
 
5.5%
Latin
ValueCountFrequency (%)
H 1
50.0%
L 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2281
54.8%
ASCII 1885
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
865
45.9%
1 190
 
10.1%
- 157
 
8.3%
6 91
 
4.8%
4 91
 
4.8%
2 88
 
4.7%
5 85
 
4.5%
3 80
 
4.2%
8 67
 
3.6%
7 65
 
3.4%
Other values (6) 106
 
5.6%
Hangul
ValueCountFrequency (%)
동 411
18.0%
구 243
10.7%
남 214
9.4%
인 205
9.0%
천 205
9.0%
광 204
8.9%
역 204
8.9%
시 204
8.9%
수 66
 
2.9%
만 59
 
2.6%
Other values (31) 266
11.7%

면적
Real number (ℝ)

Distinct189
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1145.251
Minimum0
Maximum33349.18
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-01-28T14:13:45.863450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.545
Q188.5475
median246.45
Q31023.63
95-th percentile3900.717
Maximum33349.18
Range33349.18
Interquartile range (IQR)935.0825

Descriptive statistics

Standard deviation3256.5191
Coefficient of variation (CV)2.8434981
Kurtosis62.316862
Mean1145.251
Median Absolute Deviation (MAD)229.135
Skewness7.2988352
Sum233631.21
Variance10604917
MonotonicityNot monotonic
2024-01-28T14:13:45.978121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.62 4
 
2.0%
8.8 3
 
1.5%
7.5 3
 
1.5%
10.0 3
 
1.5%
6.83 3
 
1.5%
0.0 2
 
1.0%
53.38 2
 
1.0%
30.6 2
 
1.0%
48.0 2
 
1.0%
98.6 1
 
0.5%
Other values (179) 179
87.7%
ValueCountFrequency (%)
0.0 2
1.0%
6.83 3
1.5%
7.5 3
1.5%
8.26 1
 
0.5%
8.3 1
 
0.5%
8.5 1
 
0.5%
8.8 3
1.5%
9.45 1
 
0.5%
10.0 3
1.5%
10.3 1
 
0.5%
ValueCountFrequency (%)
33349.18 1
0.5%
25203.49 1
0.5%
14300.0 1
0.5%
9994.88 1
0.5%
6033.64 1
0.5%
5908.0 1
0.5%
5196.45 1
0.5%
4865.0 1
0.5%
4592.14 1
0.5%
4051.62 1
0.5%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2023-09-04 00:00:00
Maximum2023-09-04 00:00:00
2024-01-28T14:13:46.073834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T14:13:46.150499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-28T14:13:43.514993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T14:13:43.323348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T14:13:43.613611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T14:13:43.425549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T14:13:46.203891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면적
연번1.0000.124
면적0.1241.000
2024-01-28T14:13:46.267934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면적
연번1.0000.063
면적0.0631.000

Missing values

2024-01-28T14:13:43.710008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T14:13:43.812367image/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

연번시도명시군구명재산명소재지면적데이터기준일
01인천광역시남동구석천초교내비상급수시설인천광역시 남동구 구월동 218.82023-09-04
12인천광역시남동구구월2동청사인천광역시 남동구 구월동 23-11738.962023-09-04
23인천광역시남동구구립 지역아동센터인천광역시 남동구 구월동 349-652258.722023-09-04
34인천광역시남동구구월4동경로당인천광역시 남동구 구월동 349-753199.262023-09-04
45인천광역시남동구남동문화근린공원 관리사무소인천광역시 남동구 구월동 643-100.02023-09-04
56인천광역시남동구가로정비 창고인천광역시 남동구 구월동 645-733.02023-09-04
67인천광역시남동구구월정(국궁장)인천광역시 남동구 구월동 720226.442023-09-04
78인천광역시남동구국공립 제비어린이집인천광역시 남동구 구월동 1090-6219.122023-09-04
89인천광역시남동구대우재경로당인천광역시 남동구 구월동 1092-43186.12023-09-04
910인천광역시남동구구월3동청사인천광역시 남동구 구월동 1098-71321.962023-09-04
연번시도명시군구명재산명소재지면적데이터기준일
194195인천광역시남동구남동수영장인천광역시 남동구 고잔동 138-12442.342023-09-04
195196인천광역시남동구국공립 고잔어린이집인천광역시 남동구 고잔동 178-5700.182023-09-04
196197인천광역시남동구고잔동경로당인천광역시 남동구 고잔동 310-6218.972023-09-04
197198인천광역시남동구동촌경로당인천광역시 남동구 고잔동 344-5120.22023-09-04
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