Overview

Dataset statistics

Number of variables5
Number of observations87
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.7 KiB
Average record size in memory43.5 B

Variable types

Numeric2
Text2
DateTime1

Dataset

Description인천광역시 계양구 공공건축물 현황을 나타내는 데이터입니다. 연번, 공공건축물명칭, 소재지도로명 주소, 연면적, 데이터기준일을 포함하고 있습니다.
Author인천광역시 계양구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15112828&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 연면적High correlation
연면적 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
명칭 has unique valuesUnique

Reproduction

Analysis started2024-03-18 05:20:02.967898
Analysis finished2024-03-18 05:20:05.163614
Duration2.2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct87
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44
Minimum1
Maximum87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-03-18T14:20:05.227636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.3
Q122.5
median44
Q365.5
95-th percentile82.7
Maximum87
Range86
Interquartile range (IQR)43

Descriptive statistics

Standard deviation25.258662
Coefficient of variation (CV)0.5740605
Kurtosis-1.2
Mean44
Median Absolute Deviation (MAD)22
Skewness0
Sum3828
Variance638
MonotonicityStrictly increasing
2024-03-18T14:20:05.339530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
2 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
61 1
 
1.1%
60 1
 
1.1%
59 1
 
1.1%
58 1
 
1.1%
Other values (77) 77
88.5%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%
82 1
1.1%
81 1
1.1%
80 1
1.1%
79 1
1.1%
78 1
1.1%

명칭
Text

UNIQUE 

Distinct87
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size828.0 B
2024-03-18T14:20:05.520008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length10
Mean length7.6436782
Min length3

Characters and Unicode

Total characters665
Distinct characters123
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

Unique87 ?
Unique (%)100.0%

Sample

1st row계양구청사
2nd row의회청사
3rd row계양구보건소
4th row효성1동행정복지센터
5th row효성2동행정복지센터
ValueCountFrequency (%)
경로당 13
 
12.4%
박촌동중앙경로당 1
 
1.0%
병방동 1
 
1.0%
임학경로당 1
 
1.0%
다남동 1
 
1.0%
귤현동 1
 
1.0%
갈현동 1
 
1.0%
오류동 1
 
1.0%
선주지동경로당 1
 
1.0%
하야동 1
 
1.0%
Other values (83) 83
79.0%
2024-03-18T14:20:05.820211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 38
 
5.7%
경 29
 
4.4%
당 28
 
4.2%
로 28
 
4.2%
계 24
 
3.6%
터 23
 
3.5%
센 21
 
3.2%
지 19
 
2.9%
18
 
2.7%
양 17
 
2.6%
Other values (113) 420
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 625
94.0%
Decimal Number 21
 
3.2%
Space Separator 18
 
2.7%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 38
 
6.1%
경 29
 
4.6%
당 28
 
4.5%
로 28
 
4.5%
계 24
 
3.8%
터 23
 
3.7%
센 21
 
3.4%
지 19
 
3.0%
양 17
 
2.7%
어 16
 
2.6%
Other values (107) 382
61.1%
Decimal Number
ValueCountFrequency (%)
1 9
42.9%
2 7
33.3%
3 4
19.0%
4 1
 
4.8%
Space Separator
ValueCountFrequency (%)
18
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 625
94.0%
Common 40
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 38
 
6.1%
경 29
 
4.6%
당 28
 
4.5%
로 28
 
4.5%
계 24
 
3.8%
터 23
 
3.7%
센 21
 
3.4%
지 19
 
3.0%
양 17
 
2.7%
어 16
 
2.6%
Other values (107) 382
61.1%
Common
ValueCountFrequency (%)
18
45.0%
1 9
22.5%
2 7
 
17.5%
3 4
 
10.0%
4 1
 
2.5%
· 1
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 625
94.0%
ASCII 39
 
5.9%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 38
 
6.1%
경 29
 
4.6%
당 28
 
4.5%
로 28
 
4.5%
계 24
 
3.8%
터 23
 
3.7%
센 21
 
3.4%
지 19
 
3.0%
양 17
 
2.7%
어 16
 
2.6%
Other values (107) 382
61.1%
ASCII
ValueCountFrequency (%)
18
46.2%
1 9
23.1%
2 7
 
17.9%
3 4
 
10.3%
4 1
 
2.6%
None
ValueCountFrequency (%)
· 1
100.0%

소재지 주소
Text

Distinct86
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size828.0 B
2024-03-18T14:20:06.117594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length19.505747
Min length15

Characters and Unicode

Total characters1697
Distinct characters85
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

Unique85 ?
Unique (%)97.7%

Sample

1st row인천광역시 계양구 계산새로 88
2nd row인천광역시 계양구 계양대로 126
3rd row인천광역시 계양구 계양문화로 63
4th row인천광역시 계양구 봉오대로 569번길 22
5th row인천광역시 계양구 아나지로 162
ValueCountFrequency (%)
인천광역시 87
23.1%
계양구 87
23.1%
봉오대로 11
 
2.9%
장제로 5
 
1.3%
주부토로 4
 
1.1%
효서로 4
 
1.1%
4 4
 
1.1%
16 4
 
1.1%
황어로 4
 
1.1%
용종로 3
 
0.8%
Other values (132) 163
43.4%
2024-03-18T14:20:06.537964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
289
17.0%
계 105
 
6.2%
양 98
 
5.8%
시 89
 
5.2%
역 88
 
5.2%
천 88
 
5.2%
인 87
 
5.1%
광 87
 
5.1%
구 87
 
5.1%
로 78
 
4.6%
Other values (75) 601
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1090
64.2%
Decimal Number 301
 
17.7%
Space Separator 289
 
17.0%
Dash Punctuation 17
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 105
9.6%
양 98
9.0%
시 89
 
8.2%
역 88
 
8.1%
천 88
 
8.1%
인 87
 
8.0%
광 87
 
8.0%
구 87
 
8.0%
로 78
 
7.2%
길 50
 
4.6%
Other values (63) 233
21.4%
Decimal Number
ValueCountFrequency (%)
1 73
24.3%
2 40
13.3%
6 33
11.0%
3 31
10.3%
5 26
 
8.6%
4 23
 
7.6%
0 21
 
7.0%
8 19
 
6.3%
9 18
 
6.0%
7 17
 
5.6%
Space Separator
ValueCountFrequency (%)
289
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1090
64.2%
Common 607
35.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 105
9.6%
양 98
9.0%
시 89
 
8.2%
역 88
 
8.1%
천 88
 
8.1%
인 87
 
8.0%
광 87
 
8.0%
구 87
 
8.0%
로 78
 
7.2%
길 50
 
4.6%
Other values (63) 233
21.4%
Common
ValueCountFrequency (%)
289
47.6%
1 73
 
12.0%
2 40
 
6.6%
6 33
 
5.4%
3 31
 
5.1%
5 26
 
4.3%
4 23
 
3.8%
0 21
 
3.5%
8 19
 
3.1%
9 18
 
3.0%
Other values (2) 34
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1090
64.2%
ASCII 607
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
289
47.6%
1 73
 
12.0%
2 40
 
6.6%
6 33
 
5.4%
3 31
 
5.1%
5 26
 
4.3%
4 23
 
3.8%
0 21
 
3.5%
8 19
 
3.1%
9 18
 
3.0%
Other values (2) 34
 
5.6%
Hangul
ValueCountFrequency (%)
계 105
9.6%
양 98
9.0%
시 89
 
8.2%
역 88
 
8.1%
천 88
 
8.1%
인 87
 
8.0%
광 87
 
8.0%
구 87
 
8.0%
로 78
 
7.2%
길 50
 
4.6%
Other values (63) 233
21.4%

연면적
Real number (ℝ)

HIGH CORRELATION 

Distinct86
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1572.21
Minimum84.95
Maximum35330.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-03-18T14:20:06.671595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84.95
5-th percentile101.591
Q1203.19
median458.18
Q31776.015
95-th percentile3939.317
Maximum35330.18
Range35245.23
Interquartile range (IQR)1572.825

Descriptive statistics

Standard deviation3976.9226
Coefficient of variation (CV)2.5295111
Kurtosis61.893089
Mean1572.21
Median Absolute Deviation (MAD)316.06
Skewness7.4013575
Sum136782.27
Variance15815913
MonotonicityNot monotonic
2024-03-18T14:20:06.798507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
147.88 2
 
2.3%
330.72 1
 
1.1%
173.61 1
 
1.1%
233.22 1
 
1.1%
100.13 1
 
1.1%
278.14 1
 
1.1%
105.03 1
 
1.1%
208.98 1
 
1.1%
168.25 1
 
1.1%
279.62 1
 
1.1%
Other values (76) 76
87.4%
ValueCountFrequency (%)
84.95 1
1.1%
84.98 1
1.1%
85.91 1
1.1%
95.9 1
1.1%
100.13 1
1.1%
105.0 1
1.1%
105.03 1
1.1%
142.12 1
1.1%
147.88 2
2.3%
149.46 1
1.1%
ValueCountFrequency (%)
35330.18 1
1.1%
9629.8 1
1.1%
6893.7 1
1.1%
4732.86 1
1.1%
3958.22 1
1.1%
3895.21 1
1.1%
3760.39 1
1.1%
3432.27 1
1.1%
2999.0 1
1.1%
2946.79 1
1.1%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size828.0 B
Minimum2023-03-17 00:00:00
Maximum2023-03-17 00:00:00
2024-03-18T14:20:06.895014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:20:06.971108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-18T14:20:04.877206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:20:04.677220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:20:04.945986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:20:04.803867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T14:20:07.032894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번명칭소재지 주소연면적
연번1.0001.0001.0000.000
명칭1.0001.0001.0001.000
소재지 주소1.0001.0001.0001.000
연면적0.0001.0001.0001.000
2024-03-18T14:20:07.116813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번연면적
연번1.000-0.534
연면적-0.5341.000

Missing values

2024-03-18T14:20:05.044591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T14:20:05.127810image/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

연번명칭소재지 주소연면적데이터기준일
01계양구청사인천광역시 계양구 계산새로 8835330.182023-03-17
12의회청사인천광역시 계양구 계양대로 1263895.212023-03-17
23계양구보건소인천광역시 계양구 계양문화로 636893.72023-03-17
34효성1동행정복지센터인천광역시 계양구 봉오대로 569번길 221781.922023-03-17
45효성2동행정복지센터인천광역시 계양구 아나지로 162999.782023-03-17
56계산1동행정복지센터인천광역시 계양구 향교로 241220.442023-03-17
67계산2동행정복지센터인천광역시 계양구 주부토로 5591197.02023-03-17
78계산3동행정복지센터인천광역시 계양구 계산새로71808.542023-03-17
89계산4동행정복지센터인천광역시 계양구 용종로 12-81056.542023-03-17
910작전1동행정복지센터인천광역시 계양구 봉오대로 7271404.332023-03-17
연번명칭소재지 주소연면적데이터기준일
7778계양어린이집인천광역시 계양구 용종로 106685.712023-03-17
7879병방어린이집인천광역시 계양구 장제로 928번길 19264.62023-03-17
7980귤현어린이집인천광역시 계양구 장군봉길 1284.982023-03-17
8081장기어린이집인천광역시 계양구 장기로 31-1390.272023-03-17
8182서운산단어린이집인천광역시 계양구 서운산단로 5길 3658.672023-03-17
8283다인어린이집인천광역시 계양구 봉오대로 628번길 16659.792023-03-17
8384경인교대역환승주차장인천광역시 계양구 계양대로 163번길32020.682023-03-17
8485청소년 문화의집인천광역시 계양구 봉오대로 600번길 203958.222023-03-17
8586이화동 경로당인천광역시 계양구 이화남로 134191.12023-03-17
8687둑실동 경로당인천광역시 계양구 둑실안길 19197.42023-03-17