Overview

Dataset statistics

Number of variables9
Number of observations92
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.8 KiB
Average record size in memory75.4 B

Variable types

Text6
Numeric2
Categorical1

Dataset

Description충청남도 천안시 관내 교통정보cctv에 대한 데이터입니다. 천안시 관내 교통정보cctv(CCTV관리번호, 경도, 위도, 설치위치명 등)의 항목들을 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=376&beforeMenuCd=DOM_000000201001001000&publicdatapk=15063717

Alerts

데이터기준일자 has constant value ""Constant
CCTV관리번호 has unique valuesUnique
경도 has unique valuesUnique
위도 has unique valuesUnique
설치위치명 has unique valuesUnique
설치위치주소 has unique valuesUnique
스트리밍 프로토콜(RTSP)주소 has unique valuesUnique
스트리밍 프로토콜(RTMP)주소 has unique valuesUnique
스트리밍 프로토콜(HTTP)주소 has unique valuesUnique

Reproduction

Analysis started2024-01-09 23:16:54.719901
Analysis finished2024-01-09 23:16:55.777999
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

CCTV관리번호
Text

UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size868.0 B
2024-01-10T08:16:55.975251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters644
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)100.0%

Sample

1st rowCCTV001
2nd rowCCTV002
3rd rowCCTV003
4th rowCCTV004
5th rowCCTV005
ValueCountFrequency (%)
cctv001 1
 
1.1%
cctv058 1
 
1.1%
cctv068 1
 
1.1%
cctv067 1
 
1.1%
cctv066 1
 
1.1%
cctv065 1
 
1.1%
cctv064 1
 
1.1%
cctv063 1
 
1.1%
cctv062 1
 
1.1%
cctv061 1
 
1.1%
Other values (82) 82
89.1%
2024-01-10T08:16:56.328210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 184
28.6%
0 110
17.1%
T 92
14.3%
V 92
14.3%
1 20
 
3.1%
2 20
 
3.1%
3 19
 
3.0%
4 19
 
3.0%
5 19
 
3.0%
6 19
 
3.0%
Other values (3) 50
 
7.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 368
57.1%
Decimal Number 276
42.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 110
39.9%
1 20
 
7.2%
2 20
 
7.2%
3 19
 
6.9%
4 19
 
6.9%
5 19
 
6.9%
6 19
 
6.9%
7 19
 
6.9%
8 19
 
6.9%
9 12
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
C 184
50.0%
T 92
25.0%
V 92
25.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 368
57.1%
Common 276
42.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 110
39.9%
1 20
 
7.2%
2 20
 
7.2%
3 19
 
6.9%
4 19
 
6.9%
5 19
 
6.9%
6 19
 
6.9%
7 19
 
6.9%
8 19
 
6.9%
9 12
 
4.3%
Latin
ValueCountFrequency (%)
C 184
50.0%
T 92
25.0%
V 92
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 644
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 184
28.6%
0 110
17.1%
T 92
14.3%
V 92
14.3%
1 20
 
3.1%
2 20
 
3.1%
3 19
 
3.0%
4 19
 
3.0%
5 19
 
3.0%
6 19
 
3.0%
Other values (3) 50
 
7.8%

경도
Real number (ℝ)

UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.14777
Minimum127.09771
Maximum127.33405
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2024-01-10T08:16:56.458077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.09771
5-th percentile127.10398
Q1127.12488
median127.14018
Q3127.15856
95-th percentile127.22387
Maximum127.33405
Range0.2363407
Interquartile range (IQR)0.033678975

Descriptive statistics

Standard deviation0.041137046
Coefficient of variation (CV)0.00032353731
Kurtosis7.167513
Mean127.14777
Median Absolute Deviation (MAD)0.0180058
Skewness2.3226536
Sum11697.595
Variance0.0016922566
MonotonicityNot monotonic
2024-01-10T08:16:56.580512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1504447 1
 
1.1%
127.1394287 1
 
1.1%
127.1316641 1
 
1.1%
127.1213454 1
 
1.1%
127.1428129 1
 
1.1%
127.1523064 1
 
1.1%
127.1455024 1
 
1.1%
127.1592029 1
 
1.1%
127.1516752 1
 
1.1%
127.1646254 1
 
1.1%
Other values (82) 82
89.1%
ValueCountFrequency (%)
127.0977107 1
1.1%
127.0993324 1
1.1%
127.1005316 1
1.1%
127.1014132 1
1.1%
127.1025105 1
1.1%
127.1051785 1
1.1%
127.1059202 1
1.1%
127.1068552 1
1.1%
127.1070017 1
1.1%
127.1079532 1
1.1%
ValueCountFrequency (%)
127.3340514 1
1.1%
127.3040259 1
1.1%
127.2963749 1
1.1%
127.2343184 1
1.1%
127.2304058 1
1.1%
127.2185297 1
1.1%
127.2132356 1
1.1%
127.1997565 1
1.1%
127.1967548 1
1.1%
127.1787484 1
1.1%

위도
Real number (ℝ)

UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.81781
Minimum36.68892
Maximum36.956005
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2024-01-10T08:16:56.719590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.68892
5-th percentile36.764076
Q136.795059
median36.813929
Q336.835074
95-th percentile36.899023
Maximum36.956005
Range0.2670856
Interquartile range (IQR)0.040014925

Descriptive statistics

Standard deviation0.041365553
Coefficient of variation (CV)0.0011235202
Kurtosis2.0808906
Mean36.81781
Median Absolute Deviation (MAD)0.01977945
Skewness0.57912823
Sum3387.2386
Variance0.001711109
MonotonicityNot monotonic
2024-01-10T08:16:56.848416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.8625719 1
 
1.1%
36.7751509 1
 
1.1%
36.8018377 1
 
1.1%
36.7924985 1
 
1.1%
36.8186074 1
 
1.1%
36.806692 1
 
1.1%
36.8332652 1
 
1.1%
36.7986709 1
 
1.1%
36.8321836 1
 
1.1%
36.789011 1
 
1.1%
Other values (82) 82
89.1%
ValueCountFrequency (%)
36.6889197 1
1.1%
36.7344688 1
1.1%
36.7451909 1
1.1%
36.7519082 1
1.1%
36.7581066 1
1.1%
36.7689599 1
1.1%
36.7690099 1
1.1%
36.769469 1
1.1%
36.7747458 1
1.1%
36.7751509 1
1.1%
ValueCountFrequency (%)
36.9560053 1
1.1%
36.9362308 1
1.1%
36.9138117 1
1.1%
36.9118997 1
1.1%
36.9012449 1
1.1%
36.8972044 1
1.1%
36.8774112 1
1.1%
36.8769768 1
1.1%
36.8767668 1
1.1%
36.8684774 1
1.1%

설치위치명
Text

UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size868.0 B
2024-01-10T08:16:57.098075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length6.9021739
Min length3

Characters and Unicode

Total characters635
Distinct characters148
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)100.0%

Sample

1st row세집매 삼거리
2nd row서부역 입구 삼거리
3rd row역말 오거리
4th row천안로사거리
5th row상명대 입구 삼거리
ValueCountFrequency (%)
사거리 15
 
10.4%
삼거리 10
 
6.9%
앞 6
 
4.2%
입구 4
 
2.8%
교차로 4
 
2.8%
옆 2
 
1.4%
버들육거리 1
 
0.7%
두정역사거리 1
 
0.7%
충무로사거리 1
 
0.7%
복지회관사거리 1
 
0.7%
Other values (99) 99
68.8%
2024-01-10T08:16:57.465652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 63
 
9.9%
거 61
 
9.6%
53
 
8.3%
사 39
 
6.1%
로 22
 
3.5%
차 21
 
3.3%
교 21
 
3.3%
삼 18
 
2.8%
구 11
 
1.7%
도 10
 
1.6%
Other values (138) 316
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 563
88.7%
Space Separator 53
 
8.3%
Decimal Number 18
 
2.8%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 63
 
11.2%
거 61
 
10.8%
사 39
 
6.9%
로 22
 
3.9%
차 21
 
3.7%
교 21
 
3.7%
삼 18
 
3.2%
구 11
 
2.0%
도 10
 
1.8%
동 9
 
1.6%
Other values (130) 288
51.2%
Decimal Number
ValueCountFrequency (%)
2 6
33.3%
1 4
22.2%
0 4
22.2%
3 2
 
11.1%
4 1
 
5.6%
6 1
 
5.6%
Space Separator
ValueCountFrequency (%)
53
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 563
88.7%
Common 71
 
11.2%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 63
 
11.2%
거 61
 
10.8%
사 39
 
6.9%
로 22
 
3.9%
차 21
 
3.7%
교 21
 
3.7%
삼 18
 
3.2%
구 11
 
2.0%
도 10
 
1.8%
동 9
 
1.6%
Other values (130) 288
51.2%
Common
ValueCountFrequency (%)
53
74.6%
2 6
 
8.5%
1 4
 
5.6%
0 4
 
5.6%
3 2
 
2.8%
4 1
 
1.4%
6 1
 
1.4%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 563
88.7%
ASCII 72
 
11.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 63
 
11.2%
거 61
 
10.8%
사 39
 
6.9%
로 22
 
3.9%
차 21
 
3.7%
교 21
 
3.7%
삼 18
 
3.2%
구 11
 
2.0%
도 10
 
1.8%
동 9
 
1.6%
Other values (130) 288
51.2%
ASCII
ValueCountFrequency (%)
53
73.6%
2 6
 
8.3%
1 4
 
5.6%
0 4
 
5.6%
3 2
 
2.8%
4 1
 
1.4%
A 1
 
1.4%
6 1
 
1.4%

설치위치주소
Text

UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size868.0 B
2024-01-10T08:16:57.741533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length22.445652
Min length19

Characters and Unicode

Total characters2065
Distinct characters103
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

Unique92 ?
Unique (%)100.0%

Sample

1st row충청남도 천안시 서북구 신당동 482-22
2nd row충청남도 천안시 서북구 성정동 214-1
3rd row충청남도 천안시 동남구 단대로 11
4th row충청남도 천안시 동남구 신부동 433-4
5th row충청남도 천안시 동남구 안서동 506-5
ValueCountFrequency (%)
충청남도 92
18.9%
천안시 92
18.9%
서북구 53
 
10.9%
동남구 39
 
8.0%
불당동 13
 
2.7%
성성동 5
 
1.0%
두정동 4
 
0.8%
백석동 4
 
0.8%
성정동 4
 
0.8%
성환읍 4
 
0.8%
Other values (149) 176
36.2%
2024-01-10T08:16:58.125738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
394
19.1%
남 132
 
6.4%
동 107
 
5.2%
천 99
 
4.8%
구 97
 
4.7%
안 95
 
4.6%
시 95
 
4.6%
청 95
 
4.6%
도 93
 
4.5%
충 92
 
4.5%
Other values (93) 766
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1285
62.2%
Space Separator 394
 
19.1%
Decimal Number 339
 
16.4%
Dash Punctuation 47
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 132
10.3%
동 107
 
8.3%
천 99
 
7.7%
구 97
 
7.5%
안 95
 
7.4%
시 95
 
7.4%
청 95
 
7.4%
도 93
 
7.2%
충 92
 
7.2%
서 56
 
4.4%
Other values (81) 324
25.2%
Decimal Number
ValueCountFrequency (%)
1 74
21.8%
2 45
13.3%
4 36
10.6%
9 34
10.0%
3 29
 
8.6%
5 27
 
8.0%
0 25
 
7.4%
7 25
 
7.4%
8 22
 
6.5%
6 22
 
6.5%
Space Separator
ValueCountFrequency (%)
394
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1285
62.2%
Common 780
37.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 132
10.3%
동 107
 
8.3%
천 99
 
7.7%
구 97
 
7.5%
안 95
 
7.4%
시 95
 
7.4%
청 95
 
7.4%
도 93
 
7.2%
충 92
 
7.2%
서 56
 
4.4%
Other values (81) 324
25.2%
Common
ValueCountFrequency (%)
394
50.5%
1 74
 
9.5%
- 47
 
6.0%
2 45
 
5.8%
4 36
 
4.6%
9 34
 
4.4%
3 29
 
3.7%
5 27
 
3.5%
0 25
 
3.2%
7 25
 
3.2%
Other values (2) 44
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1285
62.2%
ASCII 780
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
394
50.5%
1 74
 
9.5%
- 47
 
6.0%
2 45
 
5.8%
4 36
 
4.6%
9 34
 
4.4%
3 29
 
3.7%
5 27
 
3.5%
0 25
 
3.2%
7 25
 
3.2%
Other values (2) 44
 
5.6%
Hangul
ValueCountFrequency (%)
남 132
10.3%
동 107
 
8.3%
천 99
 
7.7%
구 97
 
7.5%
안 95
 
7.4%
시 95
 
7.4%
청 95
 
7.4%
도 93
 
7.2%
충 92
 
7.2%
서 56
 
4.4%
Other values (81) 324
25.2%

스트리밍 프로토콜(RTSP)주소
Text

UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size868.0 B
2024-01-10T08:16:58.340093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length45
Mean length45
Min length45

Characters and Unicode

Total characters4140
Distinct characters27
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)100.0%

Sample

1st rowrtsp://210.99.70.120:1935/live/cctv001.stream
2nd rowrtsp://210.99.70.120:1935/live/cctv002.stream
3rd rowrtsp://210.99.70.120:1935/live/cctv003.stream
4th rowrtsp://210.99.70.120:1935/live/cctv004.stream
5th rowrtsp://210.99.70.120:1935/live/cctv005.stream
ValueCountFrequency (%)
rtsp://210.99.70.120:1935/live/cctv001.stream 1
 
1.1%
rtsp://210.99.70.120:1935/live/cctv058.stream 1
 
1.1%
rtsp://210.99.70.120:1935/live/cctv068.stream 1
 
1.1%
rtsp://210.99.70.120:1935/live/cctv067.stream 1
 
1.1%
rtsp://210.99.70.120:1935/live/cctv066.stream 1
 
1.1%
rtsp://210.99.70.120:1935/live/cctv065.stream 1
 
1.1%
rtsp://210.99.70.120:1935/live/cctv064.stream 1
 
1.1%
rtsp://210.99.70.120:1935/live/cctv063.stream 1
 
1.1%
rtsp://210.99.70.120:1935/live/cctv062.stream 1
 
1.1%
rtsp://210.99.70.120:1935/live/cctv061.stream 1
 
1.1%
Other values (82) 82
89.1%
2024-01-10T08:16:58.696349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 386
 
9.3%
/ 368
 
8.9%
. 368
 
8.9%
1 296
 
7.1%
9 288
 
7.0%
t 252
 
6.1%
2 204
 
4.9%
r 184
 
4.4%
s 184
 
4.4%
: 184
 
4.4%
Other values (17) 1426
34.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1564
37.8%
Lowercase Letter 1560
37.7%
Other Punctuation 920
22.2%
Uppercase Letter 96
 
2.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 252
16.2%
r 184
11.8%
s 184
11.8%
e 184
11.8%
v 160
10.3%
c 136
8.7%
l 92
 
5.9%
i 92
 
5.9%
p 92
 
5.9%
a 92
 
5.9%
Decimal Number
ValueCountFrequency (%)
0 386
24.7%
1 296
18.9%
9 288
18.4%
2 204
13.0%
5 111
 
7.1%
3 111
 
7.1%
7 111
 
7.1%
4 19
 
1.2%
6 19
 
1.2%
8 19
 
1.2%
Other Punctuation
ValueCountFrequency (%)
/ 368
40.0%
. 368
40.0%
: 184
20.0%
Uppercase Letter
ValueCountFrequency (%)
C 48
50.0%
T 24
25.0%
V 24
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2484
60.0%
Latin 1656
40.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 252
15.2%
r 184
11.1%
s 184
11.1%
e 184
11.1%
v 160
9.7%
c 136
8.2%
l 92
 
5.6%
i 92
 
5.6%
p 92
 
5.6%
a 92
 
5.6%
Other values (4) 188
11.4%
Common
ValueCountFrequency (%)
0 386
15.5%
/ 368
14.8%
. 368
14.8%
1 296
11.9%
9 288
11.6%
2 204
8.2%
: 184
7.4%
5 111
 
4.5%
3 111
 
4.5%
7 111
 
4.5%
Other values (3) 57
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4140
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 386
 
9.3%
/ 368
 
8.9%
. 368
 
8.9%
1 296
 
7.1%
9 288
 
7.0%
t 252
 
6.1%
2 204
 
4.9%
r 184
 
4.4%
s 184
 
4.4%
: 184
 
4.4%
Other values (17) 1426
34.4%

스트리밍 프로토콜(RTMP)주소
Text

UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size868.0 B
2024-01-10T08:16:59.160307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length40
Mean length40
Min length40

Characters and Unicode

Total characters3680
Distinct characters24
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

Unique92 ?
Unique (%)100.0%

Sample

1st rowrtmp://210.99.70.120/live/cctv001.stream
2nd rowrtmp://210.99.70.120/live/cctv002.stream
3rd rowrtmp://210.99.70.120/live/cctv003.stream
4th rowrtmp://210.99.70.120/live/cctv004.stream
5th rowrtmp://210.99.70.120/live/cctv005.stream
ValueCountFrequency (%)
rtmp://210.99.70.120/live/cctv001.stream 1
 
1.1%
rtmp://210.99.70.120/live/cctv058.stream 1
 
1.1%
rtmp://210.99.70.120/live/cctv068.stream 1
 
1.1%
rtmp://210.99.70.120/live/cctv067.stream 1
 
1.1%
rtmp://210.99.70.120/live/cctv066.stream 1
 
1.1%
rtmp://210.99.70.120/live/cctv065.stream 1
 
1.1%
rtmp://210.99.70.120/live/cctv064.stream 1
 
1.1%
rtmp://210.99.70.120/live/cctv063.stream 1
 
1.1%
rtmp://210.99.70.120/live/cctv062.stream 1
 
1.1%
rtmp://210.99.70.120/live/cctv061.stream 1
 
1.1%
Other values (82) 82
89.1%
2024-01-10T08:16:59.467071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 386
 
10.5%
/ 368
 
10.0%
. 368
 
10.0%
t 276
 
7.5%
2 204
 
5.5%
1 204
 
5.5%
9 196
 
5.3%
r 184
 
5.0%
e 184
 
5.0%
m 184
 
5.0%
Other values (14) 1126
30.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1656
45.0%
Decimal Number 1196
32.5%
Other Punctuation 828
22.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 276
16.7%
r 184
11.1%
e 184
11.1%
m 184
11.1%
c 184
11.1%
v 184
11.1%
a 92
 
5.6%
s 92
 
5.6%
l 92
 
5.6%
i 92
 
5.6%
Decimal Number
ValueCountFrequency (%)
0 386
32.3%
2 204
17.1%
1 204
17.1%
9 196
16.4%
7 111
 
9.3%
3 19
 
1.6%
4 19
 
1.6%
5 19
 
1.6%
6 19
 
1.6%
8 19
 
1.6%
Other Punctuation
ValueCountFrequency (%)
/ 368
44.4%
. 368
44.4%
: 92
 
11.1%

Most occurring scripts

ValueCountFrequency (%)
Common 2024
55.0%
Latin 1656
45.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 386
19.1%
/ 368
18.2%
. 368
18.2%
2 204
10.1%
1 204
10.1%
9 196
9.7%
7 111
 
5.5%
: 92
 
4.5%
3 19
 
0.9%
4 19
 
0.9%
Other values (3) 57
 
2.8%
Latin
ValueCountFrequency (%)
t 276
16.7%
r 184
11.1%
e 184
11.1%
m 184
11.1%
c 184
11.1%
v 184
11.1%
a 92
 
5.6%
s 92
 
5.6%
l 92
 
5.6%
i 92
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3680
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 386
 
10.5%
/ 368
 
10.0%
. 368
 
10.0%
t 276
 
7.5%
2 204
 
5.5%
1 204
 
5.5%
9 196
 
5.3%
r 184
 
5.0%
e 184
 
5.0%
m 184
 
5.0%
Other values (14) 1126
30.6%

스트리밍 프로토콜(HTTP)주소
Text

UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size868.0 B
2024-01-10T08:16:59.702377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length59
Mean length59
Min length59

Characters and Unicode

Total characters5428
Distinct characters27
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

Unique92 ?
Unique (%)100.0%

Sample

1st rowhttp://210.99.70.120:1935/live/cctv001.stream/playlist.m3u8
2nd rowhttp://210.99.70.120:1935/live/cctv002.stream/playlist.m3u8
3rd rowhttp://210.99.70.120:1935/live/cctv003.stream/playlist.m3u8
4th rowhttp://210.99.70.120:1935/live/cctv004.stream/playlist.m3u8
5th rowhttp://210.99.70.120:1935/live/cctv005.stream/playlist.m3u8
ValueCountFrequency (%)
http://210.99.70.120:1935/live/cctv001.stream/playlist.m3u8 1
 
1.1%
http://210.99.70.120:1935/live/cctv058.stream/playlist.m3u8 1
 
1.1%
http://210.99.70.120:1935/live/cctv068.stream/playlist.m3u8 1
 
1.1%
http://210.99.70.120:1935/live/cctv067.stream/playlist.m3u8 1
 
1.1%
http://210.99.70.120:1935/live/cctv066.stream/playlist.m3u8 1
 
1.1%
http://210.99.70.120:1935/live/cctv065.stream/playlist.m3u8 1
 
1.1%
http://210.99.70.120:1935/live/cctv064.stream/playlist.m3u8 1
 
1.1%
http://210.99.70.120:1935/live/cctv063.stream/playlist.m3u8 1
 
1.1%
http://210.99.70.120:1935/live/cctv062.stream/playlist.m3u8 1
 
1.1%
http://210.99.70.120:1935/live/cctv061.stream/playlist.m3u8 1
 
1.1%
Other values (82) 82
89.1%
2024-01-10T08:17:00.034807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 460
 
8.5%
t 460
 
8.5%
/ 460
 
8.5%
0 386
 
7.1%
1 296
 
5.5%
9 288
 
5.3%
l 276
 
5.1%
2 204
 
3.8%
3 203
 
3.7%
: 184
 
3.4%
Other values (17) 2211
40.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2576
47.5%
Decimal Number 1748
32.2%
Other Punctuation 1104
20.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 460
17.9%
l 276
10.7%
p 184
 
7.1%
i 184
 
7.1%
v 184
 
7.1%
e 184
 
7.1%
c 184
 
7.1%
s 184
 
7.1%
a 184
 
7.1%
m 184
 
7.1%
Other values (4) 368
14.3%
Decimal Number
ValueCountFrequency (%)
0 386
22.1%
1 296
16.9%
9 288
16.5%
2 204
11.7%
3 203
11.6%
7 111
 
6.4%
5 111
 
6.4%
8 111
 
6.4%
4 19
 
1.1%
6 19
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 460
41.7%
/ 460
41.7%
: 184
 
16.7%

Most occurring scripts

ValueCountFrequency (%)
Common 2852
52.5%
Latin 2576
47.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 460
17.9%
l 276
10.7%
p 184
 
7.1%
i 184
 
7.1%
v 184
 
7.1%
e 184
 
7.1%
c 184
 
7.1%
s 184
 
7.1%
a 184
 
7.1%
m 184
 
7.1%
Other values (4) 368
14.3%
Common
ValueCountFrequency (%)
. 460
16.1%
/ 460
16.1%
0 386
13.5%
1 296
10.4%
9 288
10.1%
2 204
7.2%
3 203
7.1%
: 184
 
6.5%
7 111
 
3.9%
5 111
 
3.9%
Other values (3) 149
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5428
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 460
 
8.5%
t 460
 
8.5%
/ 460
 
8.5%
0 386
 
7.1%
1 296
 
5.5%
9 288
 
5.3%
l 276
 
5.1%
2 204
 
3.8%
3 203
 
3.7%
: 184
 
3.4%
Other values (17) 2211
40.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size868.0 B
2022-09-22
92 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-22
2nd row2022-09-22
3rd row2022-09-22
4th row2022-09-22
5th row2022-09-22

Common Values

ValueCountFrequency (%)
2022-09-22 92
100.0%

Length

2024-01-10T08:17:00.168329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:17:00.262799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-22 92
100.0%

Interactions

2024-01-10T08:16:55.462311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:16:55.327076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:16:55.529862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:16:55.392918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T08:17:00.332368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
CCTV관리번호경도위도설치위치명설치위치주소스트리밍 프로토콜(RTSP)주소스트리밍 프로토콜(RTMP)주소스트리밍 프로토콜(HTTP)주소
CCTV관리번호1.0001.0001.0001.0001.0001.0001.0001.000
경도1.0001.0000.5391.0001.0001.0001.0001.000
위도1.0000.5391.0001.0001.0001.0001.0001.000
설치위치명1.0001.0001.0001.0001.0001.0001.0001.000
설치위치주소1.0001.0001.0001.0001.0001.0001.0001.000
스트리밍 프로토콜(RTSP)주소1.0001.0001.0001.0001.0001.0001.0001.000
스트리밍 프로토콜(RTMP)주소1.0001.0001.0001.0001.0001.0001.0001.000
스트리밍 프로토콜(HTTP)주소1.0001.0001.0001.0001.0001.0001.0001.000
2024-01-10T08:17:00.456606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경도위도
경도1.000-0.099
위도-0.0991.000

Missing values

2024-01-10T08:16:55.622658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T08:16:55.732579image/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

CCTV관리번호경도위도설치위치명설치위치주소스트리밍 프로토콜(RTSP)주소스트리밍 프로토콜(RTMP)주소스트리밍 프로토콜(HTTP)주소데이터기준일자
0CCTV001127.15044536.862572세집매 삼거리충청남도 천안시 서북구 신당동 482-22rtsp://210.99.70.120:1935/live/cctv001.streamrtmp://210.99.70.120/live/cctv001.streamhttp://210.99.70.120:1935/live/cctv001.stream/playlist.m3u82022-09-22
1CCTV002127.14093336.810574서부역 입구 삼거리충청남도 천안시 서북구 성정동 214-1rtsp://210.99.70.120:1935/live/cctv002.streamrtmp://210.99.70.120/live/cctv002.streamhttp://210.99.70.120:1935/live/cctv002.stream/playlist.m3u82022-09-22
2CCTV003127.15313936.824989역말 오거리충청남도 천안시 동남구 단대로 11rtsp://210.99.70.120:1935/live/cctv003.streamrtmp://210.99.70.120/live/cctv003.streamhttp://210.99.70.120:1935/live/cctv003.stream/playlist.m3u82022-09-22
3CCTV004127.16254436.821838천안로사거리충청남도 천안시 동남구 신부동 433-4rtsp://210.99.70.120:1935/live/cctv004.streamrtmp://210.99.70.120/live/cctv004.streamhttp://210.99.70.120:1935/live/cctv004.stream/playlist.m3u82022-09-22
4CCTV005127.17381236.833742상명대 입구 삼거리충청남도 천안시 동남구 안서동 506-5rtsp://210.99.70.120:1935/live/cctv005.streamrtmp://210.99.70.120/live/cctv005.streamhttp://210.99.70.120:1935/live/cctv005.stream/playlist.m3u82022-09-22
5CCTV006127.15187536.818828방죽안오거리충청남도 천안시 동남구 신부동 391-3rtsp://210.99.70.120:1935/live/cctv006.streamrtmp://210.99.70.120/live/cctv006.streamhttp://210.99.70.120:1935/live/cctv006.stream/playlist.m3u82022-09-22
6CCTV007127.14806836.80959천안역충청남도 천안시 동남구 공설시장1길 15-1rtsp://210.99.70.120:1935/live/cctv007.streamrtmp://210.99.70.120/live/cctv007.streamhttp://210.99.70.120:1935/live/cctv007.stream/playlist.m3u82022-09-22
7CCTV008127.1535536.798356남부오거리충청남도 천안시 동남구 영성동 168-3rtsp://210.99.70.120:1935/live/cctv008.streamrtmp://210.99.70.120/live/cctv008.streamhttp://210.99.70.120:1935/live/cctv008.stream/playlist.m3u82022-09-22
8CCTV009127.15886736.80648교보사거리충청남도 천안시 동남구 옛농고9길 13rtsp://210.99.70.120:1935/live/cctv009.streamrtmp://210.99.70.120/live/cctv009.streamhttp://210.99.70.120:1935/live/cctv009.stream/playlist.m3u82022-09-22
9CCTV010127.16548636.782128청삼교차로충청남도 천안시 동남구 삼룡동 401-7rtsp://210.99.70.120:1935/live/cctv010.streamrtmp://210.99.70.120/live/cctv010.streamhttp://210.99.70.120:1935/live/cctv010.stream/playlist.m3u82022-09-22
CCTV관리번호경도위도설치위치명설치위치주소스트리밍 프로토콜(RTSP)주소스트리밍 프로토콜(RTMP)주소스트리밍 프로토콜(HTTP)주소데이터기준일자
82CCTV083127.13548636.9119복지관사거리충청남도 천안시 서북구 성환읍 성월리 산 51-2rtsp://210.99.70.120:1935/live/CCTV083.streamrtmp://210.99.70.120/live/cctv083.streamhttp://210.99.70.120:1935/live/cctv083.stream/playlist.m3u82022-09-22
83CCTV084127.30402636.751908창들2교차로충청남도 천안시 동남구 병천면 탑원리 393rtsp://210.99.70.120:1935/live/CCTV084.streamrtmp://210.99.70.120/live/cctv084.streamhttp://210.99.70.120:1935/live/cctv084.stream/playlist.m3u82022-09-22
84CCTV085127.13038436.956005한미래아파트 앞 사거리충청남도 천안시 서북구 성환읍 복모리 2-2rtsp://210.99.70.120:1935/live/CCTV085.streamrtmp://210.99.70.120/live/cctv085.streamhttp://210.99.70.120:1935/live/cctv085.stream/playlist.m3u82022-09-22
85CCTV086127.13841836.788747르빌104동 옆 교차로충청남도 천안시 동남구 용곡동 206-5rtsp://210.99.70.120:1935/live/CCTV086.streamrtmp://210.99.70.120/live/cctv086.streamhttp://210.99.70.120:1935/live/cctv086.stream/playlist.m3u82022-09-22
86CCTV087127.12672236.734469풍세교차로충청남도 천안시 동남구 풍세면 보성리 119-4rtsp://210.99.70.120:1935/live/CCTV087.streamrtmp://210.99.70.120/live/cctv087.streamhttp://210.99.70.120:1935/live/cctv087.stream/playlist.m3u82022-09-22
87CCTV088127.14309936.76896엘지로 교차로충청남도 천안시 동남구 구룡동 479-6rtsp://210.99.70.120:1935/live/CCTV088.streamrtmp://210.99.70.120/live/cctv088.streamhttp://210.99.70.120:1935/live/cctv088.stream/playlist.m3u82022-09-22
88CCTV089127.19675536.868477송남교차로충청남도 천안시 서북구 성거읍 송남리 347-3rtsp://210.99.70.120:1935/live/CCTV089.streamrtmp://210.99.70.120/live/cctv089.streamhttp://210.99.70.120:1935/live/cctv089.stream/playlist.m3u82022-09-22
89CCTV090127.12610136.841719레이크타운 3차 사거리충청남도 천안시 서북구 성성동 993rtsp://210.99.70.120:1935/live/CCTV090.streamrtmp://210.99.70.120/live/cctv090.streamhttp://210.99.70.120:1935/live/cctv090.stream/playlist.m3u82022-09-22
90CCTV091127.13804236.843685파스쿠찌앞 교차로충청남도 천안시 서북구 성성동 807rtsp://210.99.70.120:1935/live/CCTV091.streamrtmp://210.99.70.120/live/cctv091.streamhttp://210.99.70.120:1935/live/cctv091.stream/playlist.m3u82022-09-22
91CCTV092127.1213236.844805성성2교차로충청남도 천안시 서북구 성성동 520rtsp://210.99.70.120:1935/live/CCTV092.streamrtmp://210.99.70.120/live/cctv092.streamhttp://210.99.70.120:1935/live/cctv092.stream/playlist.m3u82022-09-22