Overview

Dataset statistics

Number of variables5
Number of observations10000
Missing cells8494
Missing cells (%)17.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory478.5 KiB
Average record size in memory49.0 B

Variable types

Numeric1
Text4

Dataset

Description충청북도 음성군청 홈페이지에 기재된 사진정보시스템의 사진제목, 사진 설명, 촬영장소, 촬영일을 공개하는 데이터입니다.
Author충청북도 음성군
URLhttps://www.data.go.kr/data/15040772/fileData.do

Alerts

사진촬영장소 has 6540 (65.4%) missing valuesMissing
사진설명 has 1954 (19.5%) missing valuesMissing
사진번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:41:23.474178
Analysis finished2023-12-12 15:41:25.377150
Duration1.9 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사진번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90347.015
Minimum53223
Maximum164435
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T00:41:25.488395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53223
5-th percentile53945.95
Q156838.75
median60355.5
Q3133876.5
95-th percentile163722.05
Maximum164435
Range111212
Interquartile range (IQR)77037.75

Descriptive statistics

Standard deviation43774.161
Coefficient of variation (CV)0.48451142
Kurtosis-1.1699682
Mean90347.015
Median Absolute Deviation (MAD)5694
Skewness0.76836264
Sum9.0347014 × 108
Variance1.9161771 × 109
MonotonicityNot monotonic
2023-12-13T00:41:25.657299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
163923 1
 
< 0.1%
163270 1
 
< 0.1%
164269 1
 
< 0.1%
60753 1
 
< 0.1%
58802 1
 
< 0.1%
162004 1
 
< 0.1%
58020 1
 
< 0.1%
53435 1
 
< 0.1%
58648 1
 
< 0.1%
133966 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
53223 1
< 0.1%
53224 1
< 0.1%
53225 1
< 0.1%
53226 1
< 0.1%
53230 1
< 0.1%
53231 1
< 0.1%
53232 1
< 0.1%
53233 1
< 0.1%
53235 1
< 0.1%
53236 1
< 0.1%
ValueCountFrequency (%)
164435 1
< 0.1%
164434 1
< 0.1%
164433 1
< 0.1%
164432 1
< 0.1%
164431 1
< 0.1%
164428 1
< 0.1%
164427 1
< 0.1%
164426 1
< 0.1%
164425 1
< 0.1%
164424 1
< 0.1%
Distinct8915
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T00:41:26.017677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length46
Mean length13.9175
Min length1

Characters and Unicode

Total characters139175
Distinct characters861
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8272 ?
Unique (%)82.7%

Sample

1st row10.20.나눔사랑애 성금기탁 음성군대한노인회지회
2nd row09.22.음성군 충청북도 한국가스안전공사 업무협약체결
3rd row정보통신정책연구원 착공식
4th row허수아비 만들기
5th row돼지콜레라 방역약품 기증
ValueCountFrequency (%)
음성군 530
 
2.0%
306
 
1.2%
방문 235
 
0.9%
행사 171
 
0.7%
기탁 154
 
0.6%
임용장 135
 
0.5%
교부 113
 
0.4%
음성장학회 113
 
0.4%
장학기금 105
 
0.4%
전달 100
 
0.4%
Other values (11103) 23901
92.4%
2023-12-13T00:41:26.564450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15876
 
11.4%
4649
 
3.3%
3416
 
2.5%
2625
 
1.9%
2508
 
1.8%
2318
 
1.7%
2293
 
1.6%
2215
 
1.6%
1 2203
 
1.6%
0 2194
 
1.6%
Other values (851) 98878
71.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 107955
77.6%
Space Separator 15877
 
11.4%
Decimal Number 9965
 
7.2%
Other Punctuation 2212
 
1.6%
Close Punctuation 1285
 
0.9%
Open Punctuation 1280
 
0.9%
Uppercase Letter 425
 
0.3%
Lowercase Letter 108
 
0.1%
Dash Punctuation 49
 
< 0.1%
Math Symbol 8
 
< 0.1%
Other values (4) 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4649
 
4.3%
3416
 
3.2%
2625
 
2.4%
2508
 
2.3%
2318
 
2.1%
2293
 
2.1%
2215
 
2.1%
2083
 
1.9%
1824
 
1.7%
1745
 
1.6%
Other values (766) 82279
76.2%
Uppercase Letter
ValueCountFrequency (%)
C 57
13.4%
I 42
 
9.9%
A 36
 
8.5%
B 33
 
7.8%
N 33
 
7.8%
U 32
 
7.5%
S 27
 
6.4%
O 22
 
5.2%
M 17
 
4.0%
J 16
 
3.8%
Other values (14) 110
25.9%
Lowercase Letter
ValueCountFrequency (%)
c 13
12.0%
e 12
 
11.1%
n 8
 
7.4%
b 8
 
7.4%
s 7
 
6.5%
o 7
 
6.5%
m 6
 
5.6%
u 6
 
5.6%
k 6
 
5.6%
i 4
 
3.7%
Other values (11) 31
28.7%
Other Punctuation
ValueCountFrequency (%)
. 1956
88.4%
, 191
 
8.6%
· 17
 
0.8%
! 15
 
0.7%
& 9
 
0.4%
/ 8
 
0.4%
" 8
 
0.4%
' 4
 
0.2%
% 2
 
0.1%
? 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 2203
22.1%
0 2194
22.0%
2 2031
20.4%
3 584
 
5.9%
4 529
 
5.3%
5 527
 
5.3%
6 514
 
5.2%
9 497
 
5.0%
7 473
 
4.7%
8 413
 
4.1%
Close Punctuation
ValueCountFrequency (%)
) 1263
98.3%
] 17
 
1.3%
} 3
 
0.2%
2
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 1256
98.1%
[ 18
 
1.4%
{ 4
 
0.3%
2
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 4
50.0%
= 2
25.0%
2
25.0%
Space Separator
ValueCountFrequency (%)
15876
> 99.9%
  1
 
< 0.1%
Initial Punctuation
ValueCountFrequency (%)
3
75.0%
1
 
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Final Punctuation
ValueCountFrequency (%)
3
100.0%
Other Symbol
ValueCountFrequency (%)
3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 107940
77.6%
Common 30684
 
22.0%
Latin 533
 
0.4%
Han 18
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4649
 
4.3%
3416
 
3.2%
2625
 
2.4%
2508
 
2.3%
2318
 
2.1%
2293
 
2.1%
2215
 
2.1%
2083
 
1.9%
1824
 
1.7%
1745
 
1.6%
Other values (756) 82264
76.2%
Latin
ValueCountFrequency (%)
C 57
 
10.7%
I 42
 
7.9%
A 36
 
6.8%
B 33
 
6.2%
N 33
 
6.2%
U 32
 
6.0%
S 27
 
5.1%
O 22
 
4.1%
M 17
 
3.2%
J 16
 
3.0%
Other values (35) 218
40.9%
Common
ValueCountFrequency (%)
15876
51.7%
1 2203
 
7.2%
0 2194
 
7.2%
2 2031
 
6.6%
. 1956
 
6.4%
) 1263
 
4.1%
( 1256
 
4.1%
3 584
 
1.9%
4 529
 
1.7%
5 527
 
1.7%
Other values (29) 2265
 
7.4%
Han
ValueCountFrequency (%)
4
22.2%
3
16.7%
2
11.1%
2
11.1%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 107936
77.6%
ASCII 31186
 
22.4%
None 25
 
< 0.1%
CJK 18
 
< 0.1%
Punctuation 7
 
< 0.1%
Arrows 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15876
50.9%
1 2203
 
7.1%
0 2194
 
7.0%
2 2031
 
6.5%
. 1956
 
6.3%
) 1263
 
4.0%
( 1256
 
4.0%
3 584
 
1.9%
4 529
 
1.7%
5 527
 
1.7%
Other values (66) 2767
 
8.9%
Hangul
ValueCountFrequency (%)
4649
 
4.3%
3416
 
3.2%
2625
 
2.4%
2508
 
2.3%
2318
 
2.1%
2293
 
2.1%
2215
 
2.1%
2083
 
1.9%
1824
 
1.7%
1745
 
1.6%
Other values (754) 82260
76.2%
None
ValueCountFrequency (%)
· 17
68.0%
3
 
12.0%
2
 
8.0%
2
 
8.0%
  1
 
4.0%
CJK
ValueCountFrequency (%)
4
22.2%
3
16.7%
2
11.1%
2
11.1%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
Punctuation
ValueCountFrequency (%)
3
42.9%
3
42.9%
1
 
14.3%
Arrows
ValueCountFrequency (%)
2
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

사진촬영장소
Text

MISSING 

Distinct964
Distinct (%)27.9%
Missing6540
Missing (%)65.4%
Memory size156.2 KiB
2023-12-13T00:41:26.845045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length21
Mean length6.1387283
Min length1

Characters and Unicode

Total characters21240
Distinct characters388
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique672 ?
Unique (%)19.4%

Sample

1st row음성군청
2nd row충청북도청
3rd row생극면 수레의산
4th row군청 6층대회의실
5th row음성읍 복개천
ValueCountFrequency (%)
음성군청 656
 
13.0%
음성 254
 
5.0%
음성읍 232
 
4.6%
음성군 153
 
3.0%
설성공원 139
 
2.8%
일원 130
 
2.6%
금왕읍 121
 
2.4%
군수실 119
 
2.4%
군청 105
 
2.1%
음성종합운동장 85
 
1.7%
Other values (886) 3047
60.4%
2023-12-13T00:41:27.267904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2230
 
10.5%
1859
 
8.8%
1581
 
7.4%
1165
 
5.5%
868
 
4.1%
650
 
3.1%
588
 
2.8%
490
 
2.3%
448
 
2.1%
419
 
2.0%
Other values (378) 10942
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19316
90.9%
Space Separator 1581
 
7.4%
Decimal Number 220
 
1.0%
Open Punctuation 34
 
0.2%
Close Punctuation 34
 
0.2%
Other Punctuation 31
 
0.1%
Uppercase Letter 12
 
0.1%
Dash Punctuation 4
 
< 0.1%
Math Symbol 4
 
< 0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2230
 
11.5%
1859
 
9.6%
1165
 
6.0%
868
 
4.5%
650
 
3.4%
588
 
3.0%
490
 
2.5%
448
 
2.3%
419
 
2.2%
383
 
2.0%
Other values (350) 10216
52.9%
Uppercase Letter
ValueCountFrequency (%)
C 4
33.3%
P 1
 
8.3%
R 1
 
8.3%
I 1
 
8.3%
L 1
 
8.3%
U 1
 
8.3%
T 1
 
8.3%
N 1
 
8.3%
K 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
2 87
39.5%
6 65
29.5%
1 39
17.7%
3 19
 
8.6%
4 4
 
1.8%
5 3
 
1.4%
7 2
 
0.9%
0 1
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
c 2
50.0%
j 1
25.0%
d 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 23
74.2%
. 8
 
25.8%
Math Symbol
ValueCountFrequency (%)
~ 3
75.0%
1
 
25.0%
Space Separator
ValueCountFrequency (%)
1581
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19316
90.9%
Common 1908
 
9.0%
Latin 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2230
 
11.5%
1859
 
9.6%
1165
 
6.0%
868
 
4.5%
650
 
3.4%
588
 
3.0%
490
 
2.5%
448
 
2.3%
419
 
2.2%
383
 
2.0%
Other values (350) 10216
52.9%
Common
ValueCountFrequency (%)
1581
82.9%
2 87
 
4.6%
6 65
 
3.4%
1 39
 
2.0%
( 34
 
1.8%
) 34
 
1.8%
, 23
 
1.2%
3 19
 
1.0%
. 8
 
0.4%
4 4
 
0.2%
Other values (6) 14
 
0.7%
Latin
ValueCountFrequency (%)
C 4
25.0%
c 2
12.5%
P 1
 
6.2%
R 1
 
6.2%
I 1
 
6.2%
L 1
 
6.2%
U 1
 
6.2%
T 1
 
6.2%
N 1
 
6.2%
K 1
 
6.2%
Other values (2) 2
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19313
90.9%
ASCII 1923
 
9.1%
Compat Jamo 3
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2230
 
11.5%
1859
 
9.6%
1165
 
6.0%
868
 
4.5%
650
 
3.4%
588
 
3.0%
490
 
2.5%
448
 
2.3%
419
 
2.2%
383
 
2.0%
Other values (348) 10213
52.9%
ASCII
ValueCountFrequency (%)
1581
82.2%
2 87
 
4.5%
6 65
 
3.4%
1 39
 
2.0%
( 34
 
1.8%
) 34
 
1.8%
, 23
 
1.2%
3 19
 
1.0%
. 8
 
0.4%
C 4
 
0.2%
Other values (17) 29
 
1.5%
Compat Jamo
ValueCountFrequency (%)
2
66.7%
1
33.3%
Arrows
ValueCountFrequency (%)
1
100.0%
Distinct4468
Distinct (%)44.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T00:41:27.570021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters100000
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

Unique2134 ?
Unique (%)21.3%

Sample

1st row2020-10-20
2nd row2020-09-22
3rd row2013-12-11
4th row1999-10-09
5th row2003-03-28
ValueCountFrequency (%)
1999-00-00 74
 
0.7%
1998-00-00 48
 
0.5%
2000-00-00 45
 
0.4%
2008-04-12 34
 
0.3%
2013-07-09 27
 
0.3%
2008-04-15 24
 
0.2%
2008-04-05 23
 
0.2%
2008-05-12 22
 
0.2%
2015-10-25 22
 
0.2%
2001-07-02 21
 
0.2%
Other values (4458) 9660
96.6%
2023-12-13T00:41:27.958782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 27916
27.9%
- 20000
20.0%
2 16673
16.7%
1 14111
14.1%
9 4395
 
4.4%
3 2921
 
2.9%
8 2888
 
2.9%
4 2861
 
2.9%
6 2778
 
2.8%
7 2768
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 80000
80.0%
Dash Punctuation 20000
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27916
34.9%
2 16673
20.8%
1 14111
17.6%
9 4395
 
5.5%
3 2921
 
3.7%
8 2888
 
3.6%
4 2861
 
3.6%
6 2778
 
3.5%
7 2768
 
3.5%
5 2689
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 20000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 100000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 27916
27.9%
- 20000
20.0%
2 16673
16.7%
1 14111
14.1%
9 4395
 
4.4%
3 2921
 
2.9%
8 2888
 
2.9%
4 2861
 
2.9%
6 2778
 
2.8%
7 2768
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 100000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 27916
27.9%
- 20000
20.0%
2 16673
16.7%
1 14111
14.1%
9 4395
 
4.4%
3 2921
 
2.9%
8 2888
 
2.9%
4 2861
 
2.9%
6 2778
 
2.8%
7 2768
 
2.8%

사진설명
Text

MISSING 

Distinct7314
Distinct (%)90.9%
Missing1954
Missing (%)19.5%
Memory size156.2 KiB
2023-12-13T00:41:28.334978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length872
Median length167
Mean length18.188789
Min length1

Characters and Unicode

Total characters146347
Distinct characters992
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6878 ?
Unique (%)85.5%

Sample

1st row10.20.나눔사랑애 성금기탁 음성군대한노인회지회
2nd row09.22.음성군 충청북도 한국가스안전공사 업무협약체결
3rd row정보통신정책연구원 착공식
4th row충청북도옥외광고인 한마음대회
5th row흥미진진한 팩토리 투어 사업 업무 협약식
ValueCountFrequency (%)
음성군 603
 
2.2%
294
 
1.1%
있다 213
 
0.8%
방문 189
 
0.7%
기탁 146
 
0.5%
임용장 134
 
0.5%
행사 133
 
0.5%
음성장학회 110
 
0.4%
교부 108
 
0.4%
음성군수 106
 
0.4%
Other values (12451) 25340
92.6%
2023-12-13T00:41:28.947211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19346
 
13.2%
4192
 
2.9%
3632
 
2.5%
2865
 
2.0%
2394
 
1.6%
. 2346
 
1.6%
0 2300
 
1.6%
2224
 
1.5%
2208
 
1.5%
1 2206
 
1.5%
Other values (982) 102634
70.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 110625
75.6%
Space Separator 19347
 
13.2%
Decimal Number 10345
 
7.1%
Other Punctuation 2816
 
1.9%
Close Punctuation 1281
 
0.9%
Open Punctuation 1276
 
0.9%
Uppercase Letter 434
 
0.3%
Lowercase Letter 124
 
0.1%
Dash Punctuation 72
 
< 0.1%
Math Symbol 11
 
< 0.1%
Other values (5) 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4192
 
3.8%
3632
 
3.3%
2865
 
2.6%
2394
 
2.2%
2224
 
2.0%
2208
 
2.0%
2073
 
1.9%
1986
 
1.8%
1904
 
1.7%
1639
 
1.5%
Other values (892) 85508
77.3%
Uppercase Letter
ValueCountFrequency (%)
C 55
12.7%
B 44
 
10.1%
I 40
 
9.2%
A 34
 
7.8%
N 33
 
7.6%
U 32
 
7.4%
S 28
 
6.5%
O 23
 
5.3%
M 18
 
4.1%
K 16
 
3.7%
Other values (14) 111
25.6%
Lowercase Letter
ValueCountFrequency (%)
c 15
12.1%
m 13
10.5%
e 12
 
9.7%
k 10
 
8.1%
b 10
 
8.1%
s 8
 
6.5%
n 7
 
5.6%
6
 
4.8%
g 6
 
4.8%
o 5
 
4.0%
Other values (11) 32
25.8%
Other Punctuation
ValueCountFrequency (%)
. 2346
83.3%
, 339
 
12.0%
" 30
 
1.1%
' 27
 
1.0%
& 22
 
0.8%
· 14
 
0.5%
! 13
 
0.5%
/ 11
 
0.4%
: 8
 
0.3%
? 5
 
0.2%
Decimal Number
ValueCountFrequency (%)
0 2300
22.2%
1 2206
21.3%
2 2087
20.2%
3 631
 
6.1%
5 578
 
5.6%
6 552
 
5.3%
4 549
 
5.3%
9 505
 
4.9%
7 491
 
4.7%
8 446
 
4.3%
Close Punctuation
ValueCountFrequency (%)
) 1256
98.0%
] 19
 
1.5%
} 3
 
0.2%
2
 
0.2%
1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1249
97.9%
[ 20
 
1.6%
{ 4
 
0.3%
2
 
0.2%
1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 7
63.6%
2
 
18.2%
> 1
 
9.1%
< 1
 
9.1%
Space Separator
ValueCountFrequency (%)
19346
> 99.9%
  1
 
< 0.1%
Initial Punctuation
ValueCountFrequency (%)
5
83.3%
1
 
16.7%
Other Symbol
ValueCountFrequency (%)
2
50.0%
2
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%
Final Punctuation
ValueCountFrequency (%)
4
100.0%
Control
ValueCountFrequency (%)
 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 110587
75.6%
Common 35162
 
24.0%
Latin 558
 
0.4%
Han 40
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4192
 
3.8%
3632
 
3.3%
2865
 
2.6%
2394
 
2.2%
2224
 
2.0%
2208
 
2.0%
2073
 
1.9%
1986
 
1.8%
1904
 
1.7%
1639
 
1.5%
Other values (863) 85470
77.3%
Latin
ValueCountFrequency (%)
C 55
 
9.9%
B 44
 
7.9%
I 40
 
7.2%
A 34
 
6.1%
N 33
 
5.9%
U 32
 
5.7%
S 28
 
5.0%
O 23
 
4.1%
M 18
 
3.2%
K 16
 
2.9%
Other values (35) 235
42.1%
Common
ValueCountFrequency (%)
19346
55.0%
. 2346
 
6.7%
0 2300
 
6.5%
1 2206
 
6.3%
2 2087
 
5.9%
) 1256
 
3.6%
( 1249
 
3.6%
3 631
 
1.8%
5 578
 
1.6%
6 552
 
1.6%
Other values (34) 2611
 
7.4%
Han
ValueCountFrequency (%)
4
 
10.0%
4
 
10.0%
3
 
7.5%
2
 
5.0%
2
 
5.0%
1
 
2.5%
1
 
2.5%
1
 
2.5%
1
 
2.5%
1
 
2.5%
Other values (20) 20
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 110584
75.6%
ASCII 35679
 
24.4%
CJK 40
 
< 0.1%
None 29
 
< 0.1%
Punctuation 10
 
< 0.1%
Arrows 2
 
< 0.1%
CJK Compat 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19346
54.2%
. 2346
 
6.6%
0 2300
 
6.4%
1 2206
 
6.2%
2 2087
 
5.8%
) 1256
 
3.5%
( 1249
 
3.5%
3 631
 
1.8%
5 578
 
1.6%
6 552
 
1.5%
Other values (67) 3128
 
8.8%
Hangul
ValueCountFrequency (%)
4192
 
3.8%
3632
 
3.3%
2865
 
2.6%
2394
 
2.2%
2224
 
2.0%
2208
 
2.0%
2073
 
1.9%
1986
 
1.8%
1904
 
1.7%
1639
 
1.5%
Other values (861) 85467
77.3%
None
ValueCountFrequency (%)
· 14
48.3%
6
20.7%
2
 
6.9%
2
 
6.9%
2
 
6.9%
1
 
3.4%
1
 
3.4%
  1
 
3.4%
Punctuation
ValueCountFrequency (%)
5
50.0%
4
40.0%
1
 
10.0%
CJK
ValueCountFrequency (%)
4
 
10.0%
4
 
10.0%
3
 
7.5%
2
 
5.0%
2
 
5.0%
1
 
2.5%
1
 
2.5%
1
 
2.5%
1
 
2.5%
1
 
2.5%
Other values (20) 20
50.0%
Arrows
ValueCountFrequency (%)
2
100.0%
CJK Compat
ValueCountFrequency (%)
2
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

Interactions

2023-12-13T00:41:24.911718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T00:41:25.061729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:41:25.196435image/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.
2023-12-13T00:41:25.314726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

사진번호사진제목사진촬영장소촬영일자사진설명
1353016392310.20.나눔사랑애 성금기탁 음성군대한노인회지회음성군청2020-10-2010.20.나눔사랑애 성금기탁 음성군대한노인회지회
1350016395309.22.음성군 충청북도 한국가스안전공사 업무협약체결충청북도청2020-09-2209.22.음성군 충청북도 한국가스안전공사 업무협약체결
926389943정보통신정책연구원 착공식<NA>2013-12-11정보통신정책연구원 착공식
83355932허수아비 만들기<NA>1999-10-09<NA>
192456558돼지콜레라 방역약품 기증<NA>2003-03-28<NA>
10210128186충청북도옥외광고인 한마음대회생극면 수레의산2015-07-25충청북도옥외광고인 한마음대회
11431159181흥미진진한 팩토리 투어 사업 업무 협약식<NA>2017-10-12흥미진진한 팩토리 투어 사업 업무 협약식
12575162910제58회 충북도민체육대회<NA>2019-06-14제58회 충북도민체육대회
9884105825이종빈, 신대옥, 정성호 명예 퇴임식군청 6층대회의실2014-12-24이종빈, 신대옥, 정성호 명예 퇴임식
19595675610회 새 봄맞이 꽃 큰잔치음성읍 복개천2003-04-17<NA>
사진번호사진제목사진촬영장소촬영일자사진설명
45955795제3회 통일기원 봉화제<NA>1997-08-23<NA>
718460457소식지편집위원위촉장수여<NA>2010-01-22소식지편집위원위촉장수여
115655153현충일 행사<NA>2001-06-06<NA>
231355397줄다리기<NA>2003-09-26줄다리기에 참가한 선수들이 상대방을 끌어 당기기 위해 안간힘을 쓰고 있다.
159355480시.군 대항 역전 마라톤대회 결단식<NA>2002-09-05<NA>
590958683제4회음성군수기차지배드민턴대회음성실내체육관2008-06-01제4회음성군수기차지배드민턴대회
698860035원남보건지소<NA>2009-11-11원남보건지소
11172153267전출 공직자 임용장 교부<NA>2017-03-17전출 공직자 임용장 교부
42755754지천서원 춘향제<NA>1997-04-14<NA>
67356259음성휴계소 음악회<NA>1999-00-00<NA>