Overview

Dataset statistics

Number of variables11
Number of observations1000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory86.1 KiB
Average record size in memory88.1 B

Variable types

Text4
Categorical7

Dataset

Description청주시 CCTV 100개의 영상을 AI기반 학습하여 익명화된 학습 데이터 공개
Author충청북도 청주시
URLhttps://www.data.go.kr/data/15096755/fileData.do

Alerts

상황 has constant value ""Constant
계절 has constant value ""Constant
사람 존재 여부 has constant value ""Constant
요일 is highly overall correlated with 날짜High correlation
날짜 is highly overall correlated with 요일High correlation
라벨링명 has unique valuesUnique
스켈레톤 그래프 링크주소 has unique valuesUnique
이상상황 그래프 링크주소 has unique valuesUnique
라벨링 결과 링크주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:08:54.043989
Analysis finished2023-12-12 04:08:54.766071
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

라벨링명
Text

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2023-12-12T13:08:55.072380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length6.893
Min length5

Characters and Unicode

Total characters6893
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowA-A-1
2nd rowA-S-2
3rd rowA-S-3
4th rowA-A-4
5th rowA-R-5
ValueCountFrequency (%)
a-a-1 1
 
0.1%
a-n-670 1
 
0.1%
a-n-658 1
 
0.1%
a-n-686 1
 
0.1%
a-a-659 1
 
0.1%
a-a-660 1
 
0.1%
a-s-661 1
 
0.1%
a-n-662 1
 
0.1%
a-r-663 1
 
0.1%
a-s-664 1
 
0.1%
Other values (990) 990
99.0%
2023-12-12T13:08:55.911176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2000
29.0%
A 1305
18.9%
S 376
 
5.5%
1 301
 
4.4%
4 300
 
4.4%
3 300
 
4.4%
5 300
 
4.4%
6 300
 
4.4%
7 300
 
4.4%
8 300
 
4.4%
Other values (5) 1111
16.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2893
42.0%
Dash Punctuation 2000
29.0%
Uppercase Letter 2000
29.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 301
10.4%
4 300
10.4%
3 300
10.4%
5 300
10.4%
6 300
10.4%
7 300
10.4%
8 300
10.4%
9 300
10.4%
2 300
10.4%
0 192
6.6%
Uppercase Letter
ValueCountFrequency (%)
A 1305
65.2%
S 376
 
18.8%
N 224
 
11.2%
R 95
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 2000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4893
71.0%
Latin 2000
29.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2000
40.9%
1 301
 
6.2%
4 300
 
6.1%
3 300
 
6.1%
5 300
 
6.1%
6 300
 
6.1%
7 300
 
6.1%
8 300
 
6.1%
9 300
 
6.1%
2 300
 
6.1%
Latin
ValueCountFrequency (%)
A 1305
65.2%
S 376
 
18.8%
N 224
 
11.2%
R 95
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6893
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2000
29.0%
A 1305
18.9%
S 376
 
5.5%
1 301
 
4.4%
4 300
 
4.4%
3 300
 
4.4%
5 300
 
4.4%
6 300
 
4.4%
7 300
 
4.4%
8 300
 
4.4%
Other values (5) 1111
16.1%

상황
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
이상상황
1000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
이상상황 1000
100.0%

Length

2023-12-12T13:08:56.056728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:08:56.163035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이상상황 1000
100.0%

날짜
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2021-11-12
872 
2021-11-07
128 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-11-12
2nd row2021-11-07
3rd row2021-11-12
4th row2021-11-12
5th row2021-11-12

Common Values

ValueCountFrequency (%)
2021-11-12 872
87.2%
2021-11-07 128
 
12.8%

Length

2023-12-12T13:08:56.284431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:08:56.380609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-11-12 872
87.2%
2021-11-07 128
 
12.8%

요일
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
금
872 
일
128 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row금
2nd row일
3rd row금
4th row금
5th row금

Common Values

ValueCountFrequency (%)
금 872
87.2%
일 128
 
12.8%

Length

2023-12-12T13:08:56.491623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:08:56.612448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
금 872
87.2%
일 128
 
12.8%

장소
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
학교 근처
376 
골목
305 
유흥가
224 
주거단지
95 

Length

Max length5
Median length4
Mean length3.542
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row골목
2nd row학교 근처
3rd row학교 근처
4th row골목
5th row주거단지

Common Values

ValueCountFrequency (%)
학교 근처 376
37.6%
골목 305
30.5%
유흥가 224
22.4%
주거단지 95
 
9.5%

Length

2023-12-12T13:08:56.724061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:08:56.837267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학교 376
27.3%
근처 376
27.3%
골목 305
22.2%
유흥가 224
16.3%
주거단지 95
 
6.9%

시간대
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
낮
621 
새벽
277 
밤
102 

Length

Max length2
Median length1
Mean length1.277
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row밤
2nd row낮
3rd row낮
4th row밤
5th row낮

Common Values

ValueCountFrequency (%)
낮 621
62.1%
새벽 277
27.7%
밤 102
 
10.2%

Length

2023-12-12T13:08:56.984728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:08:57.095308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
낮 621
62.1%
새벽 277
27.7%
밤 102
 
10.2%

계절
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
가을
1000 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가을 1000
100.0%

Length

2023-12-12T13:08:57.203263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:08:57.300050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가을 1000
100.0%

사람 존재 여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
유
1000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유 1000
100.0%

Length

2023-12-12T13:08:57.408443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:08:57.503755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유 1000
100.0%

스켈레톤 그래프 링크주소
Text

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2023-12-12T13:08:57.756366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length62
Mean length61.893
Min length60

Characters and Unicode

Total characters61893
Distinct characters35
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowhttps://data.cheongju.go.kr/pg/graph/skeletonLink.do?lblSn=1
2nd rowhttps://data.cheongju.go.kr/pg/graph/skeletonLink.do?lblSn=2
3rd rowhttps://data.cheongju.go.kr/pg/graph/skeletonLink.do?lblSn=3
4th rowhttps://data.cheongju.go.kr/pg/graph/skeletonLink.do?lblSn=4
5th rowhttps://data.cheongju.go.kr/pg/graph/skeletonLink.do?lblSn=5
ValueCountFrequency (%)
https://data.cheongju.go.kr/pg/graph/skeletonlink.do?lblsn=1 1
 
0.1%
https://data.cheongju.go.kr/pg/graph/skeletonlink.do?lblsn=670 1
 
0.1%
https://data.cheongju.go.kr/pg/graph/skeletonlink.do?lblsn=658 1
 
0.1%
https://data.cheongju.go.kr/pg/graph/skeletonlink.do?lblsn=686 1
 
0.1%
https://data.cheongju.go.kr/pg/graph/skeletonlink.do?lblsn=659 1
 
0.1%
https://data.cheongju.go.kr/pg/graph/skeletonlink.do?lblsn=660 1
 
0.1%
https://data.cheongju.go.kr/pg/graph/skeletonlink.do?lblsn=661 1
 
0.1%
https://data.cheongju.go.kr/pg/graph/skeletonlink.do?lblsn=662 1
 
0.1%
https://data.cheongju.go.kr/pg/graph/skeletonlink.do?lblsn=663 1
 
0.1%
https://data.cheongju.go.kr/pg/graph/skeletonlink.do?lblsn=664 1
 
0.1%
Other values (990) 990
99.0%
2023-12-12T13:08:58.264062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 5000
 
8.1%
n 4000
 
6.5%
t 4000
 
6.5%
. 4000
 
6.5%
g 4000
 
6.5%
o 4000
 
6.5%
h 3000
 
4.8%
p 3000
 
4.8%
l 3000
 
4.8%
k 3000
 
4.8%
Other values (25) 24893
40.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 45000
72.7%
Other Punctuation 11000
 
17.8%
Decimal Number 2893
 
4.7%
Uppercase Letter 2000
 
3.2%
Math Symbol 1000
 
1.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 4000
 
8.9%
t 4000
 
8.9%
g 4000
 
8.9%
o 4000
 
8.9%
h 3000
 
6.7%
p 3000
 
6.7%
l 3000
 
6.7%
k 3000
 
6.7%
a 3000
 
6.7%
e 3000
 
6.7%
Other values (8) 11000
24.4%
Decimal Number
ValueCountFrequency (%)
1 301
10.4%
4 300
10.4%
3 300
10.4%
5 300
10.4%
6 300
10.4%
7 300
10.4%
8 300
10.4%
9 300
10.4%
2 300
10.4%
0 192
6.6%
Other Punctuation
ValueCountFrequency (%)
/ 5000
45.5%
. 4000
36.4%
? 1000
 
9.1%
: 1000
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
S 1000
50.0%
L 1000
50.0%
Math Symbol
ValueCountFrequency (%)
= 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 47000
75.9%
Common 14893
 
24.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 4000
 
8.5%
t 4000
 
8.5%
g 4000
 
8.5%
o 4000
 
8.5%
h 3000
 
6.4%
p 3000
 
6.4%
l 3000
 
6.4%
k 3000
 
6.4%
a 3000
 
6.4%
e 3000
 
6.4%
Other values (10) 13000
27.7%
Common
ValueCountFrequency (%)
/ 5000
33.6%
. 4000
26.9%
? 1000
 
6.7%
= 1000
 
6.7%
: 1000
 
6.7%
1 301
 
2.0%
4 300
 
2.0%
3 300
 
2.0%
5 300
 
2.0%
6 300
 
2.0%
Other values (5) 1392
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 61893
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 5000
 
8.1%
n 4000
 
6.5%
t 4000
 
6.5%
. 4000
 
6.5%
g 4000
 
6.5%
o 4000
 
6.5%
h 3000
 
4.8%
p 3000
 
4.8%
l 3000
 
4.8%
k 3000
 
4.8%
Other values (25) 24893
40.2%

이상상황 그래프 링크주소
Text

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2023-12-12T13:08:58.667614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length66
Mean length65.893
Min length64

Characters and Unicode

Total characters65893
Distinct characters37
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowhttps://data.cheongju.go.kr/pg/graph/anomalyScoreLink.do?lblSn=1
2nd rowhttps://data.cheongju.go.kr/pg/graph/anomalyScoreLink.do?lblSn=2
3rd rowhttps://data.cheongju.go.kr/pg/graph/anomalyScoreLink.do?lblSn=3
4th rowhttps://data.cheongju.go.kr/pg/graph/anomalyScoreLink.do?lblSn=4
5th rowhttps://data.cheongju.go.kr/pg/graph/anomalyScoreLink.do?lblSn=5
ValueCountFrequency (%)
https://data.cheongju.go.kr/pg/graph/anomalyscorelink.do?lblsn=1 1
 
0.1%
https://data.cheongju.go.kr/pg/graph/anomalyscorelink.do?lblsn=670 1
 
0.1%
https://data.cheongju.go.kr/pg/graph/anomalyscorelink.do?lblsn=658 1
 
0.1%
https://data.cheongju.go.kr/pg/graph/anomalyscorelink.do?lblsn=686 1
 
0.1%
https://data.cheongju.go.kr/pg/graph/anomalyscorelink.do?lblsn=659 1
 
0.1%
https://data.cheongju.go.kr/pg/graph/anomalyscorelink.do?lblsn=660 1
 
0.1%
https://data.cheongju.go.kr/pg/graph/anomalyscorelink.do?lblsn=661 1
 
0.1%
https://data.cheongju.go.kr/pg/graph/anomalyscorelink.do?lblsn=662 1
 
0.1%
https://data.cheongju.go.kr/pg/graph/anomalyscorelink.do?lblsn=663 1
 
0.1%
https://data.cheongju.go.kr/pg/graph/anomalyscorelink.do?lblsn=664 1
 
0.1%
Other values (990) 990
99.0%
2023-12-12T13:08:59.265764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 5000
 
7.6%
a 5000
 
7.6%
o 5000
 
7.6%
n 4000
 
6.1%
. 4000
 
6.1%
g 4000
 
6.1%
h 3000
 
4.6%
p 3000
 
4.6%
l 3000
 
4.6%
t 3000
 
4.6%
Other values (27) 26893
40.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 48000
72.8%
Other Punctuation 11000
 
16.7%
Uppercase Letter 3000
 
4.6%
Decimal Number 2893
 
4.4%
Math Symbol 1000
 
1.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 5000
 
10.4%
o 5000
 
10.4%
n 4000
 
8.3%
g 4000
 
8.3%
h 3000
 
6.2%
p 3000
 
6.2%
l 3000
 
6.2%
t 3000
 
6.2%
r 3000
 
6.2%
k 2000
 
4.2%
Other values (10) 13000
27.1%
Decimal Number
ValueCountFrequency (%)
1 301
10.4%
4 300
10.4%
3 300
10.4%
5 300
10.4%
6 300
10.4%
7 300
10.4%
8 300
10.4%
9 300
10.4%
2 300
10.4%
0 192
6.6%
Other Punctuation
ValueCountFrequency (%)
/ 5000
45.5%
. 4000
36.4%
? 1000
 
9.1%
: 1000
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
S 2000
66.7%
L 1000
33.3%
Math Symbol
ValueCountFrequency (%)
= 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 51000
77.4%
Common 14893
 
22.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 5000
 
9.8%
o 5000
 
9.8%
n 4000
 
7.8%
g 4000
 
7.8%
h 3000
 
5.9%
p 3000
 
5.9%
l 3000
 
5.9%
t 3000
 
5.9%
r 3000
 
5.9%
k 2000
 
3.9%
Other values (12) 16000
31.4%
Common
ValueCountFrequency (%)
/ 5000
33.6%
. 4000
26.9%
? 1000
 
6.7%
= 1000
 
6.7%
: 1000
 
6.7%
1 301
 
2.0%
4 300
 
2.0%
3 300
 
2.0%
5 300
 
2.0%
6 300
 
2.0%
Other values (5) 1392
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 65893
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 5000
 
7.6%
a 5000
 
7.6%
o 5000
 
7.6%
n 4000
 
6.1%
. 4000
 
6.1%
g 4000
 
6.1%
h 3000
 
4.6%
p 3000
 
4.6%
l 3000
 
4.6%
t 3000
 
4.6%
Other values (27) 26893
40.8%

라벨링 결과 링크주소
Text

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2023-12-12T13:08:59.631377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length57
Mean length56.893
Min length55

Characters and Unicode

Total characters56893
Distinct characters36
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowhttps://data.cheongju.go.kr/api/jsonDownload.do?lblSn=1
2nd rowhttps://data.cheongju.go.kr/api/jsonDownload.do?lblSn=2
3rd rowhttps://data.cheongju.go.kr/api/jsonDownload.do?lblSn=3
4th rowhttps://data.cheongju.go.kr/api/jsonDownload.do?lblSn=4
5th rowhttps://data.cheongju.go.kr/api/jsonDownload.do?lblSn=5
ValueCountFrequency (%)
https://data.cheongju.go.kr/api/jsondownload.do?lblsn=1 1
 
0.1%
https://data.cheongju.go.kr/api/jsondownload.do?lblsn=670 1
 
0.1%
https://data.cheongju.go.kr/api/jsondownload.do?lblsn=658 1
 
0.1%
https://data.cheongju.go.kr/api/jsondownload.do?lblsn=686 1
 
0.1%
https://data.cheongju.go.kr/api/jsondownload.do?lblsn=659 1
 
0.1%
https://data.cheongju.go.kr/api/jsondownload.do?lblsn=660 1
 
0.1%
https://data.cheongju.go.kr/api/jsondownload.do?lblsn=661 1
 
0.1%
https://data.cheongju.go.kr/api/jsondownload.do?lblsn=662 1
 
0.1%
https://data.cheongju.go.kr/api/jsondownload.do?lblsn=663 1
 
0.1%
https://data.cheongju.go.kr/api/jsondownload.do?lblsn=664 1
 
0.1%
Other values (990) 990
99.0%
2023-12-12T13:09:00.244367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 6000
 
10.5%
/ 4000
 
7.0%
a 4000
 
7.0%
. 4000
 
7.0%
n 4000
 
7.0%
t 3000
 
5.3%
l 3000
 
5.3%
d 3000
 
5.3%
j 2000
 
3.5%
g 2000
 
3.5%
Other values (26) 21893
38.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 41000
72.1%
Other Punctuation 10000
 
17.6%
Decimal Number 2893
 
5.1%
Uppercase Letter 2000
 
3.5%
Math Symbol 1000
 
1.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 6000
14.6%
a 4000
 
9.8%
n 4000
 
9.8%
t 3000
 
7.3%
l 3000
 
7.3%
d 3000
 
7.3%
j 2000
 
4.9%
g 2000
 
4.9%
h 2000
 
4.9%
s 2000
 
4.9%
Other values (9) 10000
24.4%
Decimal Number
ValueCountFrequency (%)
1 301
10.4%
4 300
10.4%
3 300
10.4%
5 300
10.4%
6 300
10.4%
7 300
10.4%
8 300
10.4%
9 300
10.4%
2 300
10.4%
0 192
6.6%
Other Punctuation
ValueCountFrequency (%)
/ 4000
40.0%
. 4000
40.0%
? 1000
 
10.0%
: 1000
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
D 1000
50.0%
S 1000
50.0%
Math Symbol
ValueCountFrequency (%)
= 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 43000
75.6%
Common 13893
 
24.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 6000
14.0%
a 4000
 
9.3%
n 4000
 
9.3%
t 3000
 
7.0%
l 3000
 
7.0%
d 3000
 
7.0%
j 2000
 
4.7%
g 2000
 
4.7%
h 2000
 
4.7%
s 2000
 
4.7%
Other values (11) 12000
27.9%
Common
ValueCountFrequency (%)
/ 4000
28.8%
. 4000
28.8%
= 1000
 
7.2%
? 1000
 
7.2%
: 1000
 
7.2%
1 301
 
2.2%
4 300
 
2.2%
3 300
 
2.2%
5 300
 
2.2%
6 300
 
2.2%
Other values (5) 1392
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 56893
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 6000
 
10.5%
/ 4000
 
7.0%
a 4000
 
7.0%
. 4000
 
7.0%
n 4000
 
7.0%
t 3000
 
5.3%
l 3000
 
5.3%
d 3000
 
5.3%
j 2000
 
3.5%
g 2000
 
3.5%
Other values (26) 21893
38.5%

Correlations

2023-12-12T13:09:00.385325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
날짜요일장소시간대
날짜1.0001.0000.6940.188
요일1.0001.0000.6940.188
장소0.6940.6941.0000.405
시간대0.1880.1880.4051.000
2023-12-12T13:09:00.501112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장소시간대요일날짜
장소1.0000.3960.4910.491
시간대0.3961.0000.3090.309
요일0.4910.3091.0000.996
날짜0.4910.3090.9961.000
2023-12-12T13:09:00.636998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
날짜요일장소시간대
날짜1.0000.9960.4910.309
요일0.9961.0000.4910.309
장소0.4910.4911.0000.396
시간대0.3090.3090.3961.000

Missing values

2023-12-12T13:08:54.501678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:08:54.694170image/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

라벨링명상황날짜요일장소시간대계절사람 존재 여부스켈레톤 그래프 링크주소이상상황 그래프 링크주소라벨링 결과 링크주소
0A-A-1이상상황2021-11-12금골목밤가을유https://data.cheongju.go.kr/pg/graph/skeletonLink.do?lblSn=1https://data.cheongju.go.kr/pg/graph/anomalyScoreLink.do?lblSn=1https://data.cheongju.go.kr/api/jsonDownload.do?lblSn=1
1A-S-2이상상황2021-11-07일학교 근처낮가을유https://data.cheongju.go.kr/pg/graph/skeletonLink.do?lblSn=2https://data.cheongju.go.kr/pg/graph/anomalyScoreLink.do?lblSn=2https://data.cheongju.go.kr/api/jsonDownload.do?lblSn=2
2A-S-3이상상황2021-11-12금학교 근처낮가을유https://data.cheongju.go.kr/pg/graph/skeletonLink.do?lblSn=3https://data.cheongju.go.kr/pg/graph/anomalyScoreLink.do?lblSn=3https://data.cheongju.go.kr/api/jsonDownload.do?lblSn=3
3A-A-4이상상황2021-11-12금골목밤가을유https://data.cheongju.go.kr/pg/graph/skeletonLink.do?lblSn=4https://data.cheongju.go.kr/pg/graph/anomalyScoreLink.do?lblSn=4https://data.cheongju.go.kr/api/jsonDownload.do?lblSn=4
4A-R-5이상상황2021-11-12금주거단지낮가을유https://data.cheongju.go.kr/pg/graph/skeletonLink.do?lblSn=5https://data.cheongju.go.kr/pg/graph/anomalyScoreLink.do?lblSn=5https://data.cheongju.go.kr/api/jsonDownload.do?lblSn=5
5A-R-6이상상황2021-11-12금주거단지낮가을유https://data.cheongju.go.kr/pg/graph/skeletonLink.do?lblSn=6https://data.cheongju.go.kr/pg/graph/anomalyScoreLink.do?lblSn=6https://data.cheongju.go.kr/api/jsonDownload.do?lblSn=6
6A-N-7이상상황2021-11-12금유흥가새벽가을유https://data.cheongju.go.kr/pg/graph/skeletonLink.do?lblSn=7https://data.cheongju.go.kr/pg/graph/anomalyScoreLink.do?lblSn=7https://data.cheongju.go.kr/api/jsonDownload.do?lblSn=7
7A-A-8이상상황2021-11-12금골목낮가을유https://data.cheongju.go.kr/pg/graph/skeletonLink.do?lblSn=8https://data.cheongju.go.kr/pg/graph/anomalyScoreLink.do?lblSn=8https://data.cheongju.go.kr/api/jsonDownload.do?lblSn=8
8A-S-9이상상황2021-11-07일학교 근처낮가을유https://data.cheongju.go.kr/pg/graph/skeletonLink.do?lblSn=9https://data.cheongju.go.kr/pg/graph/anomalyScoreLink.do?lblSn=9https://data.cheongju.go.kr/api/jsonDownload.do?lblSn=9
9A-R-10이상상황2021-11-12금주거단지낮가을유https://data.cheongju.go.kr/pg/graph/skeletonLink.do?lblSn=10https://data.cheongju.go.kr/pg/graph/anomalyScoreLink.do?lblSn=10https://data.cheongju.go.kr/api/jsonDownload.do?lblSn=10
라벨링명상황날짜요일장소시간대계절사람 존재 여부스켈레톤 그래프 링크주소이상상황 그래프 링크주소라벨링 결과 링크주소
990A-S-991이상상황2021-11-12금학교 근처낮가을유https://data.cheongju.go.kr/pg/graph/skeletonLink.do?lblSn=991https://data.cheongju.go.kr/pg/graph/anomalyScoreLink.do?lblSn=991https://data.cheongju.go.kr/api/jsonDownload.do?lblSn=991
991A-S-992이상상황2021-11-12금학교 근처낮가을유https://data.cheongju.go.kr/pg/graph/skeletonLink.do?lblSn=992https://data.cheongju.go.kr/pg/graph/anomalyScoreLink.do?lblSn=992https://data.cheongju.go.kr/api/jsonDownload.do?lblSn=992
992A-R-993이상상황2021-11-12금주거단지낮가을유https://data.cheongju.go.kr/pg/graph/skeletonLink.do?lblSn=993https://data.cheongju.go.kr/pg/graph/anomalyScoreLink.do?lblSn=993https://data.cheongju.go.kr/api/jsonDownload.do?lblSn=993
993A-S-994이상상황2021-11-07일학교 근처새벽가을유https://data.cheongju.go.kr/pg/graph/skeletonLink.do?lblSn=994https://data.cheongju.go.kr/pg/graph/anomalyScoreLink.do?lblSn=994https://data.cheongju.go.kr/api/jsonDownload.do?lblSn=994
994A-A-995이상상황2021-11-12금골목낮가을유https://data.cheongju.go.kr/pg/graph/skeletonLink.do?lblSn=995https://data.cheongju.go.kr/pg/graph/anomalyScoreLink.do?lblSn=995https://data.cheongju.go.kr/api/jsonDownload.do?lblSn=995
995A-A-996이상상황2021-11-12금골목낮가을유https://data.cheongju.go.kr/pg/graph/skeletonLink.do?lblSn=996https://data.cheongju.go.kr/pg/graph/anomalyScoreLink.do?lblSn=996https://data.cheongju.go.kr/api/jsonDownload.do?lblSn=996
996A-N-997이상상황2021-11-12금유흥가새벽가을유https://data.cheongju.go.kr/pg/graph/skeletonLink.do?lblSn=997https://data.cheongju.go.kr/pg/graph/anomalyScoreLink.do?lblSn=997https://data.cheongju.go.kr/api/jsonDownload.do?lblSn=997
997A-S-998이상상황2021-11-12금학교 근처낮가을유https://data.cheongju.go.kr/pg/graph/skeletonLink.do?lblSn=998https://data.cheongju.go.kr/pg/graph/anomalyScoreLink.do?lblSn=998https://data.cheongju.go.kr/api/jsonDownload.do?lblSn=998
998A-S-999이상상황2021-11-12금학교 근처새벽가을유https://data.cheongju.go.kr/pg/graph/skeletonLink.do?lblSn=999https://data.cheongju.go.kr/pg/graph/anomalyScoreLink.do?lblSn=999https://data.cheongju.go.kr/api/jsonDownload.do?lblSn=999
999A-S-1000이상상황2021-11-12금학교 근처새벽가을유https://data.cheongju.go.kr/pg/graph/skeletonLink.do?lblSn=1000https://data.cheongju.go.kr/pg/graph/anomalyScoreLink.do?lblSn=1000https://data.cheongju.go.kr/api/jsonDownload.do?lblSn=1000