Overview

Dataset statistics

Number of variables21
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.7 KiB
Average record size in memory181.3 B

Variable types

Categorical11
Numeric6
DateTime1
Text3

Dataset

Description샘플 데이터
Author지디에스컨설팅그룹
URLhttps://www.bigdata-environment.kr/user/data_market/detail.do?id=567f2800-37cd-11ec-a3b4-09b5f820f58d

Alerts

사고발생건수 has constant value ""Constant
사상자수 has constant value ""Constant
사망자수 has constant value ""Constant
중상자수 has constant value ""Constant
경상자수 has constant value ""Constant
부상자신고자수 has constant value ""Constant
학제명 is highly imbalanced (67.3%)Imbalance
설립구분설명 is highly imbalanced (91.9%)Imbalance
고유번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 13:37:45.305423
Analysis finished2023-12-10 13:37:45.692981
Duration0.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공사위치내용
Categorical

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
서울 강동구 아리수로 (고덕교)
25 
서울 관악구 신사동 신원동 서림동 일대
16 
종로 성북구 관내
15 
역삼역
10 
사천교~연희교차로
10 
Other values (3)
24 

Length

Max length21
Median length17
Mean length13.72
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강남 송파 강동 서초(일부)일대
2nd row강남 송파 강동 서초(일부)일대
3rd row강남 송파 강동 서초(일부)일대
4th row강남 송파 강동 서초(일부)일대
5th row강남 송파 강동 서초(일부)일대

Common Values

ValueCountFrequency (%)
서울 강동구 아리수로 (고덕교) 25
25.0%
서울 관악구 신사동 신원동 서림동 일대 16
16.0%
종로 성북구 관내 15
15.0%
역삼역 10
 
10.0%
사천교~연희교차로 10
 
10.0%
종로구 관내 시도상 보도 10
 
10.0%
강남 송파 강동 서초(일부)일대 8
 
8.0%
서울 강서구 마곡도시개발구역 6
 
6.0%

Length

2023-12-10T22:37:45.770970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:37:45.907789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울 47
 
13.4%
고덕교 25
 
7.1%
강동구 25
 
7.1%
관내 25
 
7.1%
아리수로 25
 
7.1%
관악구 16
 
4.6%
신원동 16
 
4.6%
서림동 16
 
4.6%
일대 16
 
4.6%
신사동 16
 
4.6%
Other values (13) 124
35.3%

사업명
Categorical

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
고덕교 확장 및 고덕 보도교 설치 전기공사
25 
신림1배수분구 하수관로 종합정비공사(2공구)
16 
2021년 종로.성북구 관내 상수도시설물 설치 및 보수공사(장기계속단가계약)
15 
지하철 2호선 지하구조물 내진보강공사(26공구)
10 
사천 빗물펌프장 유입관로 신설공사
10 
Other values (3)
24 

Length

Max length42
Median length26
Mean length26.89
Min length18

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021년 교량시설물(교량 및 고가차도) 일상유지보수공사(연간단가)-동부
2nd row2021년 교량시설물(교량 및 고가차도) 일상유지보수공사(연간단가)-동부
3rd row2021년 교량시설물(교량 및 고가차도) 일상유지보수공사(연간단가)-동부
4th row2021년 교량시설물(교량 및 고가차도) 일상유지보수공사(연간단가)-동부
5th row2021년 교량시설물(교량 및 고가차도) 일상유지보수공사(연간단가)-동부

Common Values

ValueCountFrequency (%)
고덕교 확장 및 고덕 보도교 설치 전기공사 25
25.0%
신림1배수분구 하수관로 종합정비공사(2공구) 16
16.0%
2021년 종로.성북구 관내 상수도시설물 설치 및 보수공사(장기계속단가계약) 15
15.0%
지하철 2호선 지하구조물 내진보강공사(26공구) 10
 
10.0%
사천 빗물펌프장 유입관로 신설공사 10
 
10.0%
2021년 시도상 보도블록 정비공사 10
 
10.0%
2021년 교량시설물(교량 및 고가차도) 일상유지보수공사(연간단가)-동부 8
 
8.0%
2020~2022년 마곡지구 열수송관 설치공사 6
 
6.0%

Length

2023-12-10T22:37:46.104499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:37:46.280846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
및 48
 
9.4%
설치 40
 
7.8%
2021년 33
 
6.4%
확장 25
 
4.9%
전기공사 25
 
4.9%
고덕교 25
 
4.9%
보도교 25
 
4.9%
고덕 25
 
4.9%
신림1배수분구 16
 
3.1%
하수관로 16
 
3.1%
Other values (23) 234
45.7%

공사위치위도
Real number (ℝ)

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.543703
Minimum37.478786
Maximum37.589332
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:37:46.468461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.478786
5-th percentile37.478786
Q137.500716
median37.563415
Q337.569286
95-th percentile37.589332
Maximum37.589332
Range0.11054549
Interquartile range (IQR)0.068569423

Descriptive statistics

Standard deviation0.040360181
Coefficient of variation (CV)0.0010750186
Kurtosis-1.3281061
Mean37.543703
Median Absolute Deviation (MAD)0.01004936
Skewness-0.61080173
Sum3754.3703
Variance0.0016289442
MonotonicityNot monotonic
2023-12-10T22:37:46.619352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
37.56341525 25
25.0%
37.47878607 16
16.0%
37.58933156 15
15.0%
37.50071627 10
 
10.0%
37.56789272 10
 
10.0%
37.57346461 10
 
10.0%
37.49734023 8
 
8.0%
37.56415924 6
 
6.0%
ValueCountFrequency (%)
37.47878607 16
16.0%
37.49734023 8
 
8.0%
37.50071627 10
 
10.0%
37.56341525 25
25.0%
37.56415924 6
 
6.0%
37.56789272 10
 
10.0%
37.57346461 10
 
10.0%
37.58933156 15
15.0%
ValueCountFrequency (%)
37.58933156 15
15.0%
37.57346461 10
 
10.0%
37.56789272 10
 
10.0%
37.56415924 6
 
6.0%
37.56341525 25
25.0%
37.50071627 10
 
10.0%
37.49734023 8
 
8.0%
37.47878607 16
16.0%

공사위치경도
Real number (ℝ)

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.02375
Minimum126.82746
Maximum127.173
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:37:46.750194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.82746
5-th percentile126.82746
Q1126.92937
median127.01824
Q3127.09986
95-th percentile127.173
Maximum127.173
Range0.3455453
Interquartile range (IQR)0.17049327

Descriptive statistics

Standard deviation0.10472382
Coefficient of variation (CV)0.00082444287
Kurtosis-0.95816613
Mean127.02375
Median Absolute Deviation (MAD)0.0888744
Skewness0.11436502
Sum12702.375
Variance0.010967079
MonotonicityNot monotonic
2023-12-10T22:37:46.882908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
127.1730038 25
25.0%
126.9293661 16
16.0%
127.0182405 15
15.0%
127.0366182 10
 
10.0%
126.9181155 10
 
10.0%
126.9790239 10
 
10.0%
127.0754779 8
 
8.0%
126.8274585 6
 
6.0%
ValueCountFrequency (%)
126.8274585 6
 
6.0%
126.9181155 10
 
10.0%
126.9293661 16
16.0%
126.9790239 10
 
10.0%
127.0182405 15
15.0%
127.0366182 10
 
10.0%
127.0754779 8
 
8.0%
127.1730038 25
25.0%
ValueCountFrequency (%)
127.1730038 25
25.0%
127.0754779 8
 
8.0%
127.0366182 10
 
10.0%
127.0182405 15
15.0%
126.9790239 10
 
10.0%
126.9293661 16
16.0%
126.9181155 10
 
10.0%
126.8274585 6
 
6.0%

공사기간
Date

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2019-03-26 00:00:00
Maximum2021-06-14 00:00:00
2023-12-10T22:37:46.997288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:37:47.143204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

준공여부
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
진행
75 
준공
25 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
진행 75
75.0%
준공 25
 
25.0%

Length

2023-12-10T22:37:47.293469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:37:47.391440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
진행 75
75.0%
준공 25
 
25.0%

고유번호
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38530.14
Minimum196
Maximum44256
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:37:47.516815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196
5-th percentile802.8
Q136937.5
median42232
Q343137
95-th percentile44167.15
Maximum44256
Range44060
Interquartile range (IQR)6199.5

Descriptive statistics

Standard deviation10103.108
Coefficient of variation (CV)0.26221312
Kurtosis9.7953013
Mean38530.14
Median Absolute Deviation (MAD)1895.5
Skewness-3.2237803
Sum3853014
Variance1.020728 × 108
MonotonicityNot monotonic
2023-12-10T22:37:47.692572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42991 1
 
1.0%
40634 1
 
1.0%
42950 1
 
1.0%
43197 1
 
1.0%
42908 1
 
1.0%
43056 1
 
1.0%
43100 1
 
1.0%
40569 1
 
1.0%
40664 1
 
1.0%
40562 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
196 1
1.0%
198 1
1.0%
646 1
1.0%
722 1
1.0%
780 1
1.0%
804 1
1.0%
35159 1
1.0%
35174 1
1.0%
35189 1
1.0%
35201 1
1.0%
ValueCountFrequency (%)
44256 1
1.0%
44212 1
1.0%
44192 1
1.0%
44173 1
1.0%
44170 1
1.0%
44167 1
1.0%
44166 1
1.0%
44159 1
1.0%
44136 1
1.0%
44133 1
1.0%

학제명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
어린이집
94 
유치원
 
6

Length

Max length4
Median length4
Mean length3.94
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row어린이집
2nd row유치원
3rd row어린이집
4th row어린이집
5th row어린이집

Common Values

ValueCountFrequency (%)
어린이집 94
94.0%
유치원 6
 
6.0%

Length

2023-12-10T22:37:47.853643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:37:47.983451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어린이집 94
94.0%
유치원 6
 
6.0%

학교명
Text

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:37:48.197699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length8.2
Min length5

Characters and Unicode

Total characters820
Distinct characters186
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)98.0%

Sample

1st row리틀바움어린이집
2nd row이화유치원
3rd row목련어린이집
4th row브니엘어린이집
5th row인성어린이집
ValueCountFrequency (%)
어린이집 5
 
4.3%
가온어린이집 2
 
1.7%
사이언스파크어린이집 1
 
0.9%
초록빛어린이집 1
 
0.9%
현대모비스모아어린이집 1
 
0.9%
무지개어린이집 1
 
0.9%
하늘숲어린이집 1
 
0.9%
동그라미 1
 
0.9%
한국타이어 1
 
0.9%
미래나무어린이집 1
 
0.9%
Other values (100) 100
87.0%
2023-12-10T22:37:48.667027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 106
 
12.9%
어 94
 
11.5%
린 94
 
11.5%
집 93
 
11.3%
15
 
1.8%
리 10
 
1.2%
사 9
 
1.1%
아 9
 
1.1%
성 9
 
1.1%
서 9
 
1.1%
Other values (176) 372
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 784
95.6%
Space Separator 15
 
1.8%
Uppercase Letter 12
 
1.5%
Lowercase Letter 8
 
1.0%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 106
 
13.5%
어 94
 
12.0%
린 94
 
12.0%
집 93
 
11.9%
리 10
 
1.3%
사 9
 
1.1%
아 9
 
1.1%
성 9
 
1.1%
서 9
 
1.1%
나 9
 
1.1%
Other values (161) 342
43.6%
Lowercase Letter
ValueCountFrequency (%)
t 1
12.5%
n 1
12.5%
a 1
12.5%
l 1
12.5%
p 1
12.5%
o 1
12.5%
c 1
12.5%
e 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
S 5
41.7%
G 3
25.0%
K 2
 
16.7%
L 1
 
8.3%
C 1
 
8.3%
Space Separator
ValueCountFrequency (%)
15
100.0%
Decimal Number
ValueCountFrequency (%)
7 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 784
95.6%
Latin 20
 
2.4%
Common 16
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 106
 
13.5%
어 94
 
12.0%
린 94
 
12.0%
집 93
 
11.9%
리 10
 
1.3%
사 9
 
1.1%
아 9
 
1.1%
성 9
 
1.1%
서 9
 
1.1%
나 9
 
1.1%
Other values (161) 342
43.6%
Latin
ValueCountFrequency (%)
S 5
25.0%
G 3
15.0%
K 2
 
10.0%
L 1
 
5.0%
t 1
 
5.0%
n 1
 
5.0%
a 1
 
5.0%
l 1
 
5.0%
p 1
 
5.0%
o 1
 
5.0%
Other values (3) 3
15.0%
Common
ValueCountFrequency (%)
15
93.8%
7 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 784
95.6%
ASCII 36
 
4.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 106
 
13.5%
어 94
 
12.0%
린 94
 
12.0%
집 93
 
11.9%
리 10
 
1.3%
사 9
 
1.1%
아 9
 
1.1%
성 9
 
1.1%
서 9
 
1.1%
나 9
 
1.1%
Other values (161) 342
43.6%
ASCII
ValueCountFrequency (%)
15
41.7%
S 5
 
13.9%
G 3
 
8.3%
K 2
 
5.6%
L 1
 
2.8%
t 1
 
2.8%
n 1
 
2.8%
a 1
 
2.8%
l 1
 
2.8%
p 1
 
2.8%
Other values (5) 5
 
13.9%

설립구분설명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
사립
99 
공립
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 99
99.0%
공립 1
 
1.0%

Length

2023-12-10T22:37:48.852831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:37:48.983400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 99
99.0%
공립 1
 
1.0%

도로명주소
Text

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:37:49.307300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length43
Mean length32.64
Min length16

Characters and Unicode

Total characters3264
Distinct characters145
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)96.0%

Sample

1st row서울특별시 강남구 개포로109길 21 대치2단지 관리동 1층
2nd row서울특별시 강남구 개포로109길 5 . 대치아파트 1단지내 이화유치원 (개포동)
3rd row서울특별시 강남구 개포로 617-8
4th row서울특별시 강남구 개포로109길 5 304동 106호(개포동, 대청아파트)
5th row서울특별시 강남구 개포로109길 5 305동 102호(개포동, 대청아파트)
ValueCountFrequency (%)
서울특별시 95
 
16.0%
강동구 25
 
4.2%
강남구 18
 
3.0%
신림동 17
 
2.9%
관악구 16
 
2.7%
성북구 15
 
2.5%
종로구 10
 
1.7%
신원동 9
 
1.5%
1층 8
 
1.3%
마포구 8
 
1.3%
Other values (222) 374
62.9%
2023-12-10T22:37:49.871665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
526
 
16.1%
동 152
 
4.7%
1 134
 
4.1%
서 122
 
3.7%
로 103
 
3.2%
울 103
 
3.2%
구 100
 
3.1%
시 95
 
2.9%
별 95
 
2.9%
특 95
 
2.9%
Other values (135) 1739
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1931
59.2%
Decimal Number 590
 
18.1%
Space Separator 526
 
16.1%
Close Punctuation 83
 
2.5%
Open Punctuation 81
 
2.5%
Other Punctuation 28
 
0.9%
Dash Punctuation 17
 
0.5%
Uppercase Letter 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 152
 
7.9%
서 122
 
6.3%
로 103
 
5.3%
울 103
 
5.3%
구 100
 
5.2%
시 95
 
4.9%
별 95
 
4.9%
특 95
 
4.9%
강 89
 
4.6%
길 64
 
3.3%
Other values (111) 913
47.3%
Decimal Number
ValueCountFrequency (%)
1 134
22.7%
2 86
14.6%
0 81
13.7%
3 63
10.7%
4 48
 
8.1%
5 40
 
6.8%
9 38
 
6.4%
7 37
 
6.3%
6 35
 
5.9%
8 28
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
S 3
37.5%
K 2
25.0%
H 1
 
12.5%
E 1
 
12.5%
A 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 24
85.7%
. 3
 
10.7%
/ 1
 
3.6%
Close Punctuation
ValueCountFrequency (%)
) 68
81.9%
] 15
 
18.1%
Open Punctuation
ValueCountFrequency (%)
( 68
84.0%
[ 13
 
16.0%
Space Separator
ValueCountFrequency (%)
526
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1931
59.2%
Common 1325
40.6%
Latin 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 152
 
7.9%
서 122
 
6.3%
로 103
 
5.3%
울 103
 
5.3%
구 100
 
5.2%
시 95
 
4.9%
별 95
 
4.9%
특 95
 
4.9%
강 89
 
4.6%
길 64
 
3.3%
Other values (111) 913
47.3%
Common
ValueCountFrequency (%)
526
39.7%
1 134
 
10.1%
2 86
 
6.5%
0 81
 
6.1%
) 68
 
5.1%
( 68
 
5.1%
3 63
 
4.8%
4 48
 
3.6%
5 40
 
3.0%
9 38
 
2.9%
Other values (9) 173
 
13.1%
Latin
ValueCountFrequency (%)
S 3
37.5%
K 2
25.0%
H 1
 
12.5%
E 1
 
12.5%
A 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1931
59.2%
ASCII 1333
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
526
39.5%
1 134
 
10.1%
2 86
 
6.5%
0 81
 
6.1%
) 68
 
5.1%
( 68
 
5.1%
3 63
 
4.7%
4 48
 
3.6%
5 40
 
3.0%
9 38
 
2.9%
Other values (14) 181
 
13.6%
Hangul
ValueCountFrequency (%)
동 152
 
7.9%
서 122
 
6.3%
로 103
 
5.3%
울 103
 
5.3%
구 100
 
5.2%
시 95
 
4.9%
별 95
 
4.9%
특 95
 
4.9%
강 89
 
4.6%
길 64
 
3.3%
Other values (111) 913
47.3%

연락처번호
Text

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:37:50.223414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.32
Min length11

Characters and Unicode

Total characters1132
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)94.0%

Sample

1st row02-451-8704
2nd row02-451-6688
3rd row02-3412-1998
4th row02-6160-5571
5th row02-459-0360
ValueCountFrequency (%)
02-852-7400 2
 
2.0%
02-442-7942 2
 
2.0%
02-482-0505 2
 
2.0%
02-566-3236 1
 
1.0%
02-6080-3533 1
 
1.0%
02-429-4560 1
 
1.0%
02-554-7055 1
 
1.0%
02-3454-0062 1
 
1.0%
02-567-0665 1
 
1.0%
02-567-1606 1
 
1.0%
Other values (87) 87
87.0%
2023-12-10T22:37:50.718261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 204
18.0%
- 200
17.7%
0 190
16.8%
4 80
 
7.1%
8 77
 
6.8%
5 75
 
6.6%
3 71
 
6.3%
6 68
 
6.0%
1 64
 
5.7%
7 54
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 932
82.3%
Dash Punctuation 200
 
17.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 204
21.9%
0 190
20.4%
4 80
 
8.6%
8 77
 
8.3%
5 75
 
8.0%
3 71
 
7.6%
6 68
 
7.3%
1 64
 
6.9%
7 54
 
5.8%
9 49
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 200
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1132
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 204
18.0%
- 200
17.7%
0 190
16.8%
4 80
 
7.1%
8 77
 
6.8%
5 75
 
6.6%
3 71
 
6.3%
6 68
 
6.0%
1 64
 
5.7%
7 54
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1132
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 204
18.0%
- 200
17.7%
0 190
16.8%
4 80
 
7.1%
8 77
 
6.8%
5 75
 
6.6%
3 71
 
6.3%
6 68
 
6.0%
1 64
 
5.7%
7 54
 
4.8%

총인구수
Real number (ℝ)

Distinct18
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77124.57
Minimum2837
Maximum256610
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:37:50.866097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2837
5-th percentile6823
Q124060
median32581
Q369534
95-th percentile256610
Maximum256610
Range253773
Interquartile range (IQR)45474

Descriptive statistics

Standard deviation84623.942
Coefficient of variation (CV)1.0972371
Kurtosis0.52182796
Mean77124.57
Median Absolute Deviation (MAD)25758
Skewness1.4362004
Sum7712457
Variance7.1612115 × 109
MonotonicityNot monotonic
2023-12-10T22:37:50.978476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
32581 23
23.0%
256610 16
16.0%
69534 9
 
9.0%
63994 8
 
8.0%
6823 6
 
6.0%
140617 6
 
6.0%
24060 4
 
4.0%
16180 4
 
4.0%
59106 4
 
4.0%
16284 4
 
4.0%
Other values (8) 16
16.0%
ValueCountFrequency (%)
2837 2
 
2.0%
6823 6
6.0%
8904 1
 
1.0%
11874 1
 
1.0%
16180 4
4.0%
16284 4
4.0%
16612 3
3.0%
18638 3
3.0%
24060 4
4.0%
27601 2
 
2.0%
ValueCountFrequency (%)
256610 16
16.0%
140617 6
 
6.0%
69534 9
 
9.0%
63994 8
 
8.0%
59106 4
 
4.0%
47495 2
 
2.0%
45011 2
 
2.0%
32581 23
23.0%
27601 2
 
2.0%
24060 4
 
4.0%

10미만인구수
Real number (ℝ)

Distinct18
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4182.71
Minimum112
Maximum12032
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:37:51.106017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum112
5-th percentile182
Q11153
median2574
Q34529
95-th percentile12032
Maximum12032
Range11920
Interquartile range (IQR)3376

Descriptive statistics

Standard deviation3759.8879
Coefficient of variation (CV)0.89891193
Kurtosis-0.45349465
Mean4182.71
Median Absolute Deviation (MAD)1918
Skewness0.95871856
Sum418271
Variance14136757
MonotonicityNot monotonic
2023-12-10T22:37:51.240367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2574 23
23.0%
10214 16
16.0%
3759 9
 
9.0%
4492 8
 
8.0%
182 6
 
6.0%
12032 6
 
6.0%
1153 4
 
4.0%
558 4
 
4.0%
3494 4
 
4.0%
640 4
 
4.0%
Other values (8) 16
16.0%
ValueCountFrequency (%)
112 2
 
2.0%
182 6
6.0%
451 3
3.0%
530 1
 
1.0%
558 4
4.0%
640 4
4.0%
794 1
 
1.0%
1011 3
3.0%
1153 4
4.0%
1506 2
 
2.0%
ValueCountFrequency (%)
12032 6
 
6.0%
10214 16
16.0%
5605 2
 
2.0%
4529 2
 
2.0%
4492 8
 
8.0%
3759 9
 
9.0%
3494 4
 
4.0%
2574 23
23.0%
1506 2
 
2.0%
1153 4
 
4.0%

세대수
Real number (ℝ)

Distinct18
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36933.48
Minimum1220
Maximum134991
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:37:51.366651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1220
5-th percentile3978
Q111068
median11319
Q335238
95-th percentile134991
Maximum134991
Range133771
Interquartile range (IQR)24170

Descriptive statistics

Standard deviation45110.343
Coefficient of variation (CV)1.2213943
Kurtosis0.83482723
Mean36933.48
Median Absolute Deviation (MAD)7341
Skewness1.5641692
Sum3693348
Variance2.034943 × 109
MonotonicityNot monotonic
2023-12-10T22:37:51.496082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
11319 23
23.0%
134991 16
16.0%
35238 9
 
9.0%
24614 8
 
8.0%
3978 6
 
6.0%
59628 6
 
6.0%
11068 4
 
4.0%
9047 4
 
4.0%
26408 4
 
4.0%
8440 4
 
4.0%
Other values (8) 16
16.0%
ValueCountFrequency (%)
1220 2
 
2.0%
3969 1
 
1.0%
3978 6
 
6.0%
4715 1
 
1.0%
7378 3
 
3.0%
8440 4
 
4.0%
9047 4
 
4.0%
10007 3
 
3.0%
11068 4
 
4.0%
11319 23
23.0%
ValueCountFrequency (%)
134991 16
16.0%
59628 6
 
6.0%
35238 9
 
9.0%
26408 4
 
4.0%
24614 8
 
8.0%
17906 2
 
2.0%
16599 2
 
2.0%
12662 2
 
2.0%
11319 23
23.0%
11068 4
 
4.0%

사고발생건수
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T22:37:51.653685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:37:51.764042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

사상자수
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T22:37:51.876696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:37:52.005321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

사망자수
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T22:37:52.115487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:37:52.235590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

중상자수
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T22:37:52.364506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:37:52.483541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

경상자수
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T22:37:52.946969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:37:53.076086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

부상자신고자수
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T22:37:53.197187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:37:53.304074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

Sample

공사위치내용사업명공사위치위도공사위치경도공사기간준공여부고유번호학제명학교명설립구분설명도로명주소연락처번호총인구수10미만인구수세대수사고발생건수사상자수사망자수중상자수경상자수부상자신고자수
0강남 송파 강동 서초(일부)일대2021년 교량시설물(교량 및 고가차도) 일상유지보수공사(연간단가)-동부37.49734127.0754782021-01-01진행42991어린이집리틀바움어린이집사립서울특별시 강남구 개포로109길 21 대치2단지 관리동 1층02-451-870463994449224614000000
1강남 송파 강동 서초(일부)일대2021년 교량시설물(교량 및 고가차도) 일상유지보수공사(연간단가)-동부37.49734127.0754782021-01-01진행722유치원이화유치원사립서울특별시 강남구 개포로109길 5 . 대치아파트 1단지내 이화유치원 (개포동)02-451-668863994449224614000000
2강남 송파 강동 서초(일부)일대2021년 교량시설물(교량 및 고가차도) 일상유지보수공사(연간단가)-동부37.49734127.0754782021-01-01진행42869어린이집목련어린이집사립서울특별시 강남구 개포로 617-802-3412-199863994449224614000000
3강남 송파 강동 서초(일부)일대2021년 교량시설물(교량 및 고가차도) 일상유지보수공사(연간단가)-동부37.49734127.0754782021-01-01진행43052어린이집브니엘어린이집사립서울특별시 강남구 개포로109길 5 304동 106호(개포동, 대청아파트)02-6160-557163994449224614000000
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5강남 송파 강동 서초(일부)일대2021년 교량시설물(교량 및 고가차도) 일상유지보수공사(연간단가)-동부37.49734127.0754782021-01-01진행42883어린이집강남어린이집사립서울특별시 강남구 개포로109길 5 강남종합사회복지관 1층 강남어린이집(개포동 12번지)02-451-035063994449224614000000
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7강남 송파 강동 서초(일부)일대2021년 교량시설물(교량 및 고가차도) 일상유지보수공사(연간단가)-동부37.49734127.0754782021-01-01진행42957어린이집서울주택도시공사 으뜸어린이집사립서울특별시 강남구 개포로 621 SH공사 14동 5호(개포동)02-6940-868063994449224614000000
8종로 성북구 관내2021년 종로.성북구 관내 상수도시설물 설치 및 보수공사(장기계속단가계약)37.589332127.0182412021-06-14진행36929어린이집뉴제나어린이집사립서울특별시 성북구 삼선동5가 삼선교로18나길 18 (삼선동5가)02-953-922624060115311068000000
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공사위치내용사업명공사위치위도공사위치경도공사기간준공여부고유번호학제명학교명설립구분설명도로명주소연락처번호총인구수10미만인구수세대수사고발생건수사상자수사망자수중상자수경상자수부상자신고자수
90종로구 관내 시도상 보도2021년 시도상 보도블록 정비공사37.573465126.9790242021-04-08진행35189어린이집서울청사한빛어린이집사립서울특별시 종로구 세종대로 209 서울청사관리소02-735-6400118747944715000000
91종로구 관내 시도상 보도2021년 시도상 보도블록 정비공사37.573465126.9790242021-04-08진행35235어린이집SC으뜸별 어린이집사립서울특별시 종로구 종로 4702-3210-090468231823978000000
92종로구 관내 시도상 보도2021년 시도상 보도블록 정비공사37.573465126.9790242021-04-08진행35174어린이집종교교회어린이집사립서울특별시 종로구 사직로8길 48 종교교회내 1층 (도렴동)02-6322-219089045303969000000
93종로구 관내 시도상 보도2021년 시도상 보도블록 정비공사37.573465126.9790242021-04-08진행35219어린이집SK ecoplant 행복날개어린이집사립서울특별시 종로구 인사동7길 32 SK건설행복날개어린이집02-6395-020268231823978000000
94종로구 관내 시도상 보도2021년 시도상 보도블록 정비공사37.573465126.9790242021-04-08진행35223어린이집GS건설 꿈과 희망의 어린이집사립서울특별시 종로구 종로 33 그랑서울 타워2 (2층)02-3789-597168231823978000000
95종로구 관내 시도상 보도2021년 시도상 보도블록 정비공사37.573465126.9790242021-04-08진행35159어린이집종로구청직장어린이집사립서울특별시 종로구 종로1길 36 대림빌딩02-720-585268231823978000000
96종로구 관내 시도상 보도2021년 시도상 보도블록 정비공사37.573465126.9790242021-04-08진행35201어린이집SK행복어린이집사립서울특별시 종로구 종로 26 SK서린동빌딩 2층02-2121-161168231823978000000
97종로구 관내 시도상 보도2021년 시도상 보도블록 정비공사37.573465126.9790242021-04-08진행35242어린이집선재어린이집사립서울특별시 종로구 우정국로 51-402-720-977068231823978000000
98종로구 관내 시도상 보도2021년 시도상 보도블록 정비공사37.573465126.9790242021-04-08진행35205어린이집서울청사햇살어린이집사립서울특별시 종로구 세종대로 20902-2100-478827601150612662000000
99종로구 관내 시도상 보도2021년 시도상 보도블록 정비공사37.573465126.9790242021-04-08진행35208어린이집서울청사푸르미어린이집사립서울특별시 종로구 세종로 세종대로 209 서울청사 푸르미어린이집02-737-732727601150612662000000