Overview

Dataset statistics

Number of variables21
Number of observations3804
Missing cells15539
Missing cells (%)19.5%
Duplicate rows65
Duplicate rows (%)1.7%
Total size in memory668.8 KiB
Average record size in memory180.0 B

Variable types

Categorical4
Text6
Numeric11

Alerts

Dataset has 65 (1.7%) duplicate rowsDuplicates
읍면동명 has 720 (18.9%) missing valuesMissing
소재지도로명주소 has 2486 (65.4%) missing valuesMissing
게시대수 has 880 (23.1%) missing valuesMissing
현수막규격(너비)(cm) has 497 (13.1%) missing valuesMissing
현수막규격(높이)(cm) has 497 (13.1%) missing valuesMissing
게시면수(행정용) has 1902 (50.0%) missing valuesMissing
게시면수(상업용) has 1005 (26.4%) missing valuesMissing
부착일수 has 786 (20.7%) missing valuesMissing
부착금액(행정용) has 2332 (61.3%) missing valuesMissing
부착금액(상업용) has 1397 (36.7%) missing valuesMissing
부착금액(일일도로점용료) has 2733 (71.8%) missing valuesMissing
관리기관전화번호 has 304 (8.0%) missing valuesMissing
게시면수(행정용) has 540 (14.2%) zerosZeros
게시면수(상업용) has 286 (7.5%) zerosZeros
부착금액(행정용) has 844 (22.2%) zerosZeros
부착금액(상업용) has 120 (3.2%) zerosZeros
부착금액(일일도로점용료) has 469 (12.3%) zerosZeros

Reproduction

Analysis started2024-04-29 13:16:59.955946
Analysis finished2024-04-29 13:17:01.263691
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct30
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size29.8 KiB
화성시
322 
수원시
 
241
남양주시
 
240
광명시
 
226
안산시
 
201
Other values (25)
2574 

Length

Max length4
Median length3
Mean length3.1001577
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
화성시 322
 
8.5%
수원시 241
 
6.3%
남양주시 240
 
6.3%
광명시 226
 
5.9%
안산시 201
 
5.3%
고양시 188
 
4.9%
이천시 164
 
4.3%
용인시 156
 
4.1%
시흥시 155
 
4.1%
안성시 134
 
3.5%
Other values (20) 1777
46.7%

Length

2024-04-29T22:17:01.344672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화성시 322
 
8.5%
수원시 241
 
6.3%
남양주시 240
 
6.3%
광명시 226
 
5.9%
안산시 201
 
5.3%
고양시 188
 
4.9%
이천시 164
 
4.3%
용인시 156
 
4.1%
시흥시 155
 
4.1%
안성시 134
 
3.5%
Other values (20) 1777
46.7%

읍면동명
Text

MISSING 

Distinct487
Distinct (%)15.8%
Missing720
Missing (%)18.9%
Memory size29.8 KiB
2024-04-29T22:17:01.602917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length3
Mean length3.6773671
Min length2

Characters and Unicode

Total characters11341
Distinct characters197
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

Unique132 ?
Unique (%)4.3%

Sample

1st row가평읍
2nd row가평읍
3rd row가평읍
4th row가평읍
5th row가평읍
ValueCountFrequency (%)
경기도 155
 
4.5%
시흥시 155
 
4.5%
정왕동 78
 
2.3%
중앙동 58
 
1.7%
양평읍 42
 
1.2%
향남읍 34
 
1.0%
남양읍 31
 
0.9%
초지동 30
 
0.9%
청계동 29
 
0.9%
진접읍 27
 
0.8%
Other values (479) 2770
81.3%
2024-04-29T22:17:01.995770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 1997
 
17.6%
면 587
 
5.2%
읍 533
 
4.7%
325
 
2.9%
시 311
 
2.7%
양 248
 
2.2%
1 247
 
2.2%
2 245
 
2.2%
안 228
 
2.0%
도 217
 
1.9%
Other values (187) 6403
56.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10192
89.9%
Decimal Number 729
 
6.4%
Space Separator 325
 
2.9%
Dash Punctuation 95
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1997
 
19.6%
면 587
 
5.8%
읍 533
 
5.2%
시 311
 
3.1%
양 248
 
2.4%
안 228
 
2.2%
도 217
 
2.1%
산 207
 
2.0%
정 203
 
2.0%
흥 193
 
1.9%
Other values (175) 5468
53.6%
Decimal Number
ValueCountFrequency (%)
1 247
33.9%
2 245
33.6%
3 104
14.3%
4 38
 
5.2%
6 26
 
3.6%
7 26
 
3.6%
5 24
 
3.3%
8 8
 
1.1%
9 6
 
0.8%
0 5
 
0.7%
Space Separator
ValueCountFrequency (%)
325
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 95
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10192
89.9%
Common 1149
 
10.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1997
 
19.6%
면 587
 
5.8%
읍 533
 
5.2%
시 311
 
3.1%
양 248
 
2.4%
안 228
 
2.2%
도 217
 
2.1%
산 207
 
2.0%
정 203
 
2.0%
흥 193
 
1.9%
Other values (175) 5468
53.6%
Common
ValueCountFrequency (%)
325
28.3%
1 247
21.5%
2 245
21.3%
3 104
 
9.1%
- 95
 
8.3%
4 38
 
3.3%
6 26
 
2.3%
7 26
 
2.3%
5 24
 
2.1%
8 8
 
0.7%
Other values (2) 11
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10192
89.9%
ASCII 1149
 
10.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 1997
 
19.6%
면 587
 
5.8%
읍 533
 
5.2%
시 311
 
3.1%
양 248
 
2.4%
안 228
 
2.2%
도 217
 
2.1%
산 207
 
2.0%
정 203
 
2.0%
흥 193
 
1.9%
Other values (175) 5468
53.6%
ASCII
ValueCountFrequency (%)
325
28.3%
1 247
21.5%
2 245
21.3%
3 104
 
9.1%
- 95
 
8.3%
4 38
 
3.3%
6 26
 
2.3%
7 26
 
2.3%
5 24
 
2.1%
8 8
 
0.7%
Other values (2) 11
 
1.0%

용도구분
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.8 KiB
상업용
2344 
행정용
1104 
상업용+행정용
356 

Length

Max length7
Median length3
Mean length3.3743428
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상업용 2344
61.6%
행정용 1104
29.0%
상업용+행정용 356
 
9.4%

Length

2024-04-29T22:17:02.142528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:17:02.255731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상업용 2344
61.6%
행정용 1104
29.0%
상업용+행정용 356
 
9.4%

게시대명
Text

Distinct3631
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size29.8 KiB
2024-04-29T22:17:02.524276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length30
Mean length10.849369
Min length2

Characters and Unicode

Total characters41271
Distinct characters589
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3482 ?
Unique (%)91.5%

Sample

1st row가평역 건너편(G120)
2nd row가평역 삼거리(G70)
3rd row가평읍사무소(G30)
4th row군청앞(G10)
5th row달전리(성빈남이빌라앞)(G60)
ValueCountFrequency (%)
앞 463
 
6.5%
사거리 188
 
2.7%
삼거리 138
 
1.9%
입구 112
 
1.6%
옆 100
 
1.4%
정왕동 78
 
1.1%
좌 57
 
0.8%
우 57
 
0.8%
건너편 56
 
0.8%
행정복지센터 46
 
0.6%
Other values (4178) 5784
81.7%
2024-04-29T22:17:02.968977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3279
 
7.9%
리 1765
 
4.3%
거 1424
 
3.5%
동 1215
 
2.9%
사 1191
 
2.9%
) 1181
 
2.9%
( 1178
 
2.9%
앞 881
 
2.1%
0 848
 
2.1%
교 720
 
1.7%
Other values (579) 27589
66.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31140
75.5%
Space Separator 3279
 
7.9%
Decimal Number 3065
 
7.4%
Close Punctuation 1239
 
3.0%
Open Punctuation 1236
 
3.0%
Uppercase Letter 713
 
1.7%
Other Punctuation 346
 
0.8%
Dash Punctuation 179
 
0.4%
Connector Punctuation 35
 
0.1%
Lowercase Letter 34
 
0.1%
Other values (2) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 1765
 
5.7%
거 1424
 
4.6%
동 1215
 
3.9%
사 1191
 
3.8%
앞 881
 
2.8%
교 720
 
2.3%
삼 600
 
1.9%
구 571
 
1.8%
지 535
 
1.7%
로 528
 
1.7%
Other values (516) 21710
69.7%
Uppercase Letter
ValueCountFrequency (%)
A 155
21.7%
C 116
16.3%
I 111
15.6%
G 63
8.8%
B 62
 
8.7%
T 60
 
8.4%
P 43
 
6.0%
K 28
 
3.9%
S 28
 
3.9%
L 14
 
2.0%
Other values (11) 33
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
c 8
23.5%
e 4
11.8%
t 4
11.8%
a 3
 
8.8%
i 3
 
8.8%
k 2
 
5.9%
n 2
 
5.9%
w 2
 
5.9%
v 1
 
2.9%
g 1
 
2.9%
Other values (4) 4
11.8%
Decimal Number
ValueCountFrequency (%)
0 848
27.7%
1 573
18.7%
2 491
16.0%
6 361
11.8%
7 277
 
9.0%
3 183
 
6.0%
5 115
 
3.8%
4 112
 
3.7%
8 61
 
2.0%
9 44
 
1.4%
Other Punctuation
ValueCountFrequency (%)
* 193
55.8%
, 75
 
21.7%
. 46
 
13.3%
@ 19
 
5.5%
: 9
 
2.6%
/ 3
 
0.9%
& 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 1181
95.3%
] 58
 
4.7%
Open Punctuation
ValueCountFrequency (%)
( 1178
95.3%
[ 58
 
4.7%
Math Symbol
ValueCountFrequency (%)
~ 2
66.7%
⇒ 1
33.3%
Other Number
ValueCountFrequency (%)
② 1
50.0%
① 1
50.0%
Space Separator
ValueCountFrequency (%)
3279
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 179
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31140
75.5%
Common 9384
 
22.7%
Latin 747
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 1765
 
5.7%
거 1424
 
4.6%
동 1215
 
3.9%
사 1191
 
3.8%
앞 881
 
2.8%
교 720
 
2.3%
삼 600
 
1.9%
구 571
 
1.8%
지 535
 
1.7%
로 528
 
1.7%
Other values (516) 21710
69.7%
Latin
ValueCountFrequency (%)
A 155
20.7%
C 116
15.5%
I 111
14.9%
G 63
8.4%
B 62
 
8.3%
T 60
 
8.0%
P 43
 
5.8%
K 28
 
3.7%
S 28
 
3.7%
L 14
 
1.9%
Other values (25) 67
9.0%
Common
ValueCountFrequency (%)
3279
34.9%
) 1181
 
12.6%
( 1178
 
12.6%
0 848
 
9.0%
1 573
 
6.1%
2 491
 
5.2%
6 361
 
3.8%
7 277
 
3.0%
* 193
 
2.1%
3 183
 
2.0%
Other values (18) 820
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31140
75.5%
ASCII 10128
 
24.5%
Enclosed Alphanum 2
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3279
32.4%
) 1181
 
11.7%
( 1178
 
11.6%
0 848
 
8.4%
1 573
 
5.7%
2 491
 
4.8%
6 361
 
3.6%
7 277
 
2.7%
* 193
 
1.9%
3 183
 
1.8%
Other values (50) 1564
15.4%
Hangul
ValueCountFrequency (%)
리 1765
 
5.7%
거 1424
 
4.6%
동 1215
 
3.9%
사 1191
 
3.8%
앞 881
 
2.8%
교 720
 
2.3%
삼 600
 
1.9%
구 571
 
1.8%
지 535
 
1.7%
로 528
 
1.7%
Other values (516) 21710
69.7%
Enclosed Alphanum
ValueCountFrequency (%)
② 1
50.0%
① 1
50.0%
Arrows
ValueCountFrequency (%)
⇒ 1
100.0%

소재지도로명주소
Text

MISSING 

Distinct1039
Distinct (%)78.8%
Missing2486
Missing (%)65.4%
Memory size29.8 KiB
2024-04-29T22:17:03.236029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length48
Mean length18.593323
Min length11

Characters and Unicode

Total characters24506
Distinct characters310
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique827 ?
Unique (%)62.7%

Sample

1st row경기도 가평군 가평읍 가화로 62
2nd row경기도 가평군 북면 가화로 1004
3rd row경기도 가평군 상면 비룡로 2253
4th row경기도 가평군 조종면 조종희망로26번길 16
5th row경기도 가평군 가평읍 문화로 153
ValueCountFrequency (%)
경기도 1318
 
21.9%
화성시 322
 
5.3%
안산시 177
 
2.9%
단원구 109
 
1.8%
안양시 105
 
1.7%
성남시 93
 
1.5%
남양주시 85
 
1.4%
광명시 77
 
1.3%
상록구 68
 
1.1%
수원시 63
 
1.0%
Other values (1412) 3611
59.9%
2024-04-29T22:17:03.637693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4710
19.2%
경 1377
 
5.6%
도 1353
 
5.5%
기 1340
 
5.5%
시 1319
 
5.4%
로 1018
 
4.2%
1 854
 
3.5%
2 604
 
2.5%
안 542
 
2.2%
구 526
 
2.1%
Other values (300) 10863
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15265
62.3%
Space Separator 4710
 
19.2%
Decimal Number 4187
 
17.1%
Dash Punctuation 303
 
1.2%
Open Punctuation 16
 
0.1%
Close Punctuation 16
 
0.1%
Other Punctuation 5
 
< 0.1%
Uppercase Letter 3
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 1377
 
9.0%
도 1353
 
8.9%
기 1340
 
8.8%
시 1319
 
8.6%
로 1018
 
6.7%
안 542
 
3.6%
구 526
 
3.4%
성 461
 
3.0%
화 384
 
2.5%
양 375
 
2.5%
Other values (282) 6570
43.0%
Decimal Number
ValueCountFrequency (%)
1 854
20.4%
2 604
14.4%
3 470
11.2%
5 374
8.9%
4 365
8.7%
0 335
 
8.0%
6 328
 
7.8%
7 307
 
7.3%
9 279
 
6.7%
8 271
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
C 2
66.7%
K 1
33.3%
Space Separator
ValueCountFrequency (%)
4710
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 303
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15265
62.3%
Common 9237
37.7%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 1377
 
9.0%
도 1353
 
8.9%
기 1340
 
8.8%
시 1319
 
8.6%
로 1018
 
6.7%
안 542
 
3.6%
구 526
 
3.4%
성 461
 
3.0%
화 384
 
2.5%
양 375
 
2.5%
Other values (282) 6570
43.0%
Common
ValueCountFrequency (%)
4710
51.0%
1 854
 
9.2%
2 604
 
6.5%
3 470
 
5.1%
5 374
 
4.0%
4 365
 
4.0%
0 335
 
3.6%
6 328
 
3.6%
7 307
 
3.3%
- 303
 
3.3%
Other values (5) 587
 
6.4%
Latin
ValueCountFrequency (%)
C 2
50.0%
K 1
25.0%
e 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15265
62.3%
ASCII 9241
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4710
51.0%
1 854
 
9.2%
2 604
 
6.5%
3 470
 
5.1%
5 374
 
4.0%
4 365
 
3.9%
0 335
 
3.6%
6 328
 
3.5%
7 307
 
3.3%
- 303
 
3.3%
Other values (8) 591
 
6.4%
Hangul
ValueCountFrequency (%)
경 1377
 
9.0%
도 1353
 
8.9%
기 1340
 
8.8%
시 1319
 
8.6%
로 1018
 
6.7%
안 542
 
3.6%
구 526
 
3.4%
성 461
 
3.0%
화 384
 
2.5%
양 375
 
2.5%
Other values (282) 6570
43.0%

소재지지번주소
Text

Distinct2999
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Memory size29.8 KiB
2024-04-29T22:17:03.932878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length49
Mean length20.027865
Min length13

Characters and Unicode

Total characters76186
Distinct characters361
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2359 ?
Unique (%)62.0%

Sample

1st row경기도 가평군 가평읍 달전리 583-7
2nd row경기도 가평군 가평읍 달전리 435-15
3rd row경기도 가평군 가평읍 읍내리 366번지
4th row경기도 가평군 가평읍 읍내리 509-1
5th row경기도 가평군 가평읍 달전리 470-1
ValueCountFrequency (%)
경기도 3804
 
21.5%
화성시 323
 
1.8%
남양주시 240
 
1.4%
수원시 238
 
1.3%
광명시 226
 
1.3%
안산시 201
 
1.1%
고양시 188
 
1.1%
이천시 164
 
0.9%
용인시 158
 
0.9%
시흥시 155
 
0.9%
Other values (3910) 11987
67.8%
2024-04-29T22:17:04.363526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13880
 
18.2%
기 3919
 
5.1%
도 3914
 
5.1%
경 3811
 
5.0%
시 3732
 
4.9%
1 2998
 
3.9%
동 2986
 
3.9%
- 2646
 
3.5%
2 1811
 
2.4%
3 1600
 
2.1%
Other values (351) 34889
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44689
58.7%
Decimal Number 14920
 
19.6%
Space Separator 13880
 
18.2%
Dash Punctuation 2646
 
3.5%
Uppercase Letter 15
 
< 0.1%
Close Punctuation 13
 
< 0.1%
Open Punctuation 13
 
< 0.1%
Other Punctuation 8
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 3919
 
8.8%
도 3914
 
8.8%
경 3811
 
8.5%
시 3732
 
8.4%
동 2986
 
6.7%
리 1238
 
2.8%
지 1216
 
2.7%
양 1208
 
2.7%
구 1190
 
2.7%
번 1018
 
2.3%
Other values (327) 20457
45.8%
Decimal Number
ValueCountFrequency (%)
1 2998
20.1%
2 1811
12.1%
3 1600
10.7%
4 1386
9.3%
5 1373
9.2%
6 1316
8.8%
7 1220
8.2%
8 1173
 
7.9%
0 1029
 
6.9%
9 1014
 
6.8%
Uppercase Letter
ValueCountFrequency (%)
C 5
33.3%
I 4
26.7%
L 2
 
13.3%
K 1
 
6.7%
G 1
 
6.7%
O 1
 
6.7%
S 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 5
62.5%
. 3
37.5%
Space Separator
ValueCountFrequency (%)
13880
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2646
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44689
58.7%
Common 31480
41.3%
Latin 17
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 3919
 
8.8%
도 3914
 
8.8%
경 3811
 
8.5%
시 3732
 
8.4%
동 2986
 
6.7%
리 1238
 
2.8%
지 1216
 
2.7%
양 1208
 
2.7%
구 1190
 
2.7%
번 1018
 
2.3%
Other values (327) 20457
45.8%
Common
ValueCountFrequency (%)
13880
44.1%
1 2998
 
9.5%
- 2646
 
8.4%
2 1811
 
5.8%
3 1600
 
5.1%
4 1386
 
4.4%
5 1373
 
4.4%
6 1316
 
4.2%
7 1220
 
3.9%
8 1173
 
3.7%
Other values (6) 2077
 
6.6%
Latin
ValueCountFrequency (%)
C 5
29.4%
I 4
23.5%
e 2
 
11.8%
L 2
 
11.8%
K 1
 
5.9%
G 1
 
5.9%
O 1
 
5.9%
S 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44689
58.7%
ASCII 31497
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13880
44.1%
1 2998
 
9.5%
- 2646
 
8.4%
2 1811
 
5.7%
3 1600
 
5.1%
4 1386
 
4.4%
5 1373
 
4.4%
6 1316
 
4.2%
7 1220
 
3.9%
8 1173
 
3.7%
Other values (14) 2094
 
6.6%
Hangul
ValueCountFrequency (%)
기 3919
 
8.8%
도 3914
 
8.8%
경 3811
 
8.5%
시 3732
 
8.4%
동 2986
 
6.7%
리 1238
 
2.8%
지 1216
 
2.7%
양 1208
 
2.7%
구 1190
 
2.7%
번 1018
 
2.3%
Other values (327) 20457
45.8%

위도
Real number (ℝ)

Distinct3098
Distinct (%)81.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.446238
Minimum36.940747
Maximum38.212348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.6 KiB
2024-04-29T22:17:04.504102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.940747
5-th percentile37.026106
Q137.280812
median37.399352
Q337.637472
95-th percentile37.884998
Maximum38.212348
Range1.2716012
Interquartile range (IQR)0.35665948

Descriptive statistics

Standard deviation0.24487646
Coefficient of variation (CV)0.0065394143
Kurtosis-0.26341756
Mean37.446238
Median Absolute Deviation (MAD)0.15106502
Skewness0.38602742
Sum142445.49
Variance0.059964483
MonotonicityNot monotonic
2024-04-29T22:17:04.638520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.6403844 7
 
0.2%
37.353164765 6
 
0.2%
37.5497092832 6
 
0.2%
37.61234175 6
 
0.2%
37.4396954484 5
 
0.1%
37.3385197823 5
 
0.1%
37.72626859 5
 
0.1%
37.46243782 5
 
0.1%
37.82361234 5
 
0.1%
37.70335984 4
 
0.1%
Other values (3088) 3750
98.6%
ValueCountFrequency (%)
36.940747 1
< 0.1%
36.942359 1
< 0.1%
36.94358863 1
< 0.1%
36.95372555 1
< 0.1%
36.95788995 1
< 0.1%
36.95977972 1
< 0.1%
36.9614 1
< 0.1%
36.965 1
< 0.1%
36.967941 2
0.1%
36.969636 1
< 0.1%
ValueCountFrequency (%)
38.21234816 1
< 0.1%
38.18310076 1
< 0.1%
38.174074 1
< 0.1%
38.15845398 1
< 0.1%
38.15772941 1
< 0.1%
38.15730194 2
0.1%
38.15211055 1
< 0.1%
38.13488496 1
< 0.1%
38.13261013 1
< 0.1%
38.12852457 1
< 0.1%

경도
Real number (ℝ)

Distinct3101
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.05759
Minimum126.55553
Maximum127.85202
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.6 KiB
2024-04-29T22:17:04.778285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.55553
5-th percentile126.74107
Q1126.87077
median127.04733
Q3127.1934
95-th percentile127.49824
Maximum127.85202
Range1.2964857
Interquartile range (IQR)0.32263425

Descriptive statistics

Standard deviation0.23167223
Coefficient of variation (CV)0.001823364
Kurtosis-0.085151852
Mean127.05759
Median Absolute Deviation (MAD)0.16572046
Skewness0.59026281
Sum483327.07
Variance0.053672023
MonotonicityNot monotonic
2024-04-29T22:17:04.910525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7821501 7
 
0.2%
127.1717041 6
 
0.2%
127.187337648 6
 
0.2%
126.7258041276 6
 
0.2%
126.7503788492 5
 
0.1%
126.8795986 5
 
0.1%
127.1392915 5
 
0.1%
127.1898391 5
 
0.1%
126.7864031664 5
 
0.1%
126.8044920249 4
 
0.1%
Other values (3091) 3750
98.6%
ValueCountFrequency (%)
126.5555343 1
< 0.1%
126.5690698 1
< 0.1%
126.5698581 1
< 0.1%
126.570423 1
< 0.1%
126.577274 1
< 0.1%
126.5772743 1
< 0.1%
126.5781005 1
< 0.1%
126.5830952 1
< 0.1%
126.5834798 1
< 0.1%
126.5838991 1
< 0.1%
ValueCountFrequency (%)
127.85202 1
< 0.1%
127.7551475 1
< 0.1%
127.7513699 1
< 0.1%
127.7503743 1
< 0.1%
127.7481523 2
0.1%
127.7121816 2
0.1%
127.7107247 2
0.1%
127.7074046 1
< 0.1%
127.6996763 2
0.1%
127.6946821 1
< 0.1%

게시대수
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)0.3%
Missing880
Missing (%)23.1%
Infinite0
Infinite (%)0.0%
Mean1.245554
Minimum0
Maximum7
Zeros8
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size33.6 KiB
2024-04-29T22:17:05.015649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.98668734
Coefficient of variation (CV)0.79216743
Kurtosis20.083327
Mean1.245554
Median Absolute Deviation (MAD)0
Skewness4.5420179
Sum3642
Variance0.9735519
MonotonicityNot monotonic
2024-04-29T22:17:05.124573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 2639
69.4%
2 160
 
4.2%
6 79
 
2.1%
7 20
 
0.5%
3 9
 
0.2%
0 8
 
0.2%
5 6
 
0.2%
4 3
 
0.1%
(Missing) 880
 
23.1%
ValueCountFrequency (%)
0 8
 
0.2%
1 2639
69.4%
2 160
 
4.2%
3 9
 
0.2%
4 3
 
0.1%
5 6
 
0.2%
6 79
 
2.1%
7 20
 
0.5%
ValueCountFrequency (%)
7 20
 
0.5%
6 79
 
2.1%
5 6
 
0.2%
4 3
 
0.1%
3 9
 
0.2%
2 160
 
4.2%
1 2639
69.4%
0 8
 
0.2%

현수막규격(너비)(cm)
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)1.1%
Missing497
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean1004.3409
Minimum0.7
Maximum7700
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.6 KiB
2024-04-29T22:17:05.264055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.7
5-th percentile6
Q1580
median600
Q3680
95-th percentile7000
Maximum7700
Range7699.3
Interquartile range (IQR)100

Descriptive statistics

Standard deviation1653.6943
Coefficient of variation (CV)1.6465468
Kurtosis8.4196727
Mean1004.3409
Median Absolute Deviation (MAD)20
Skewness3.1771332
Sum3321355.5
Variance2734704.9
MonotonicityNot monotonic
2024-04-29T22:17:05.380923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
600.0 1183
31.1%
580.0 537
14.1%
680.0 259
 
6.8%
705.0 201
 
5.3%
7000.0 185
 
4.9%
6.0 140
 
3.7%
6.1 132
 
3.5%
700.0 102
 
2.7%
570.0 95
 
2.5%
870.0 93
 
2.4%
Other values (26) 380
 
10.0%
(Missing) 497
13.1%
ValueCountFrequency (%)
0.7 1
 
< 0.1%
5.2 16
 
0.4%
5.4 19
 
0.5%
5.5 7
 
0.2%
5.8 11
 
0.3%
6.0 140
3.7%
6.1 132
3.5%
6.9 55
 
1.4%
7.0 28
 
0.7%
300.0 5
 
0.1%
ValueCountFrequency (%)
7700.0 1
 
< 0.1%
7600.0 1
 
< 0.1%
7100.0 1
 
< 0.1%
7000.0 185
4.9%
6500.0 7
 
0.2%
6000.0 46
 
1.2%
5500.0 5
 
0.1%
870.0 93
2.4%
740.0 1
 
< 0.1%
705.0 201
5.3%

현수막규격(높이)(cm)
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)0.4%
Missing497
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean112.31672
Minimum0.6
Maximum900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.6 KiB
2024-04-29T22:17:05.487516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.6
5-th percentile0.7
Q170
median70
Q370
95-th percentile700
Maximum900
Range899.4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation174.91617
Coefficient of variation (CV)1.5573475
Kurtosis8.9716502
Mean112.31672
Median Absolute Deviation (MAD)0
Skewness3.2446195
Sum371431.4
Variance30595.666
MonotonicityNot monotonic
2024-04-29T22:17:05.580811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
70.0 2686
70.6%
0.7 264
 
6.9%
700.0 210
 
5.5%
60.0 87
 
2.3%
900.0 30
 
0.8%
0.9 14
 
0.4%
600.0 6
 
0.2%
0.6 4
 
0.1%
5.6 1
 
< 0.1%
120.0 1
 
< 0.1%
Other values (4) 4
 
0.1%
(Missing) 497
 
13.1%
ValueCountFrequency (%)
0.6 4
 
0.1%
0.7 264
 
6.9%
0.9 14
 
0.4%
5.6 1
 
< 0.1%
50.0 1
 
< 0.1%
60.0 87
 
2.3%
70.0 2686
70.6%
71.0 1
 
< 0.1%
72.0 1
 
< 0.1%
73.0 1
 
< 0.1%
ValueCountFrequency (%)
900.0 30
 
0.8%
700.0 210
 
5.5%
600.0 6
 
0.2%
120.0 1
 
< 0.1%
73.0 1
 
< 0.1%
72.0 1
 
< 0.1%
71.0 1
 
< 0.1%
70.0 2686
70.6%
60.0 87
 
2.3%
50.0 1
 
< 0.1%

게시면수(행정용)
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)0.6%
Missing1902
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean2.502103
Minimum0
Maximum14
Zeros540
Zeros (%)14.2%
Negative0
Negative (%)0.0%
Memory size33.6 KiB
2024-04-29T22:17:05.672521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile6
Maximum14
Range14
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.5255654
Coefficient of variation (CV)1.0093771
Kurtosis-0.97429205
Mean2.502103
Median Absolute Deviation (MAD)1
Skewness0.63368862
Sum4759
Variance6.3784806
MonotonicityNot monotonic
2024-04-29T22:17:05.772276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 540
 
14.2%
6 533
 
14.0%
1 467
 
12.3%
2 222
 
5.8%
4 51
 
1.3%
5 40
 
1.1%
3 31
 
0.8%
7 11
 
0.3%
12 3
 
0.1%
8 2
 
0.1%
Other values (2) 2
 
0.1%
(Missing) 1902
50.0%
ValueCountFrequency (%)
0 540
14.2%
1 467
12.3%
2 222
5.8%
3 31
 
0.8%
4 51
 
1.3%
5 40
 
1.1%
6 533
14.0%
7 11
 
0.3%
8 2
 
0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
14 1
 
< 0.1%
12 3
 
0.1%
10 1
 
< 0.1%
8 2
 
0.1%
7 11
 
0.3%
6 533
14.0%
5 40
 
1.1%
4 51
 
1.3%
3 31
 
0.8%
2 222
5.8%

게시면수(상업용)
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)0.6%
Missing1005
Missing (%)26.4%
Infinite0
Infinite (%)0.0%
Mean5.7466952
Minimum0
Maximum21
Zeros286
Zeros (%)7.5%
Negative0
Negative (%)0.0%
Memory size33.6 KiB
2024-04-29T22:17:05.884141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median6
Q36
95-th percentile10
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.5713136
Coefficient of variation (CV)0.44744214
Kurtosis3.0752837
Mean5.7466952
Median Absolute Deviation (MAD)0
Skewness-0.029863919
Sum16085
Variance6.6116537
MonotonicityNot monotonic
2024-04-29T22:17:05.980488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
6 1624
42.7%
0 286
 
7.5%
5 282
 
7.4%
7 264
 
6.9%
10 135
 
3.5%
4 71
 
1.9%
12 68
 
1.8%
14 24
 
0.6%
2 14
 
0.4%
3 11
 
0.3%
Other values (6) 20
 
0.5%
(Missing) 1005
26.4%
ValueCountFrequency (%)
0 286
 
7.5%
2 14
 
0.4%
3 11
 
0.3%
4 71
 
1.9%
5 282
 
7.4%
6 1624
42.7%
7 264
 
6.9%
8 10
 
0.3%
10 135
 
3.5%
11 3
 
0.1%
ValueCountFrequency (%)
21 1
 
< 0.1%
18 4
 
0.1%
17 1
 
< 0.1%
14 24
 
0.6%
13 1
 
< 0.1%
12 68
 
1.8%
11 3
 
0.1%
10 135
3.5%
8 10
 
0.3%
7 264
6.9%

부착일수
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)0.2%
Missing786
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean55.873095
Minimum0
Maximum11000
Zeros24
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size33.6 KiB
2024-04-29T22:17:06.071727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q17
median7
Q310
95-th percentile14
Maximum11000
Range11000
Interquartile range (IQR)3

Descriptive statistics

Standard deviation719.95619
Coefficient of variation (CV)12.885561
Kurtosis227.52941
Mean55.873095
Median Absolute Deviation (MAD)0
Skewness15.145125
Sum168625
Variance518336.92
MonotonicityNot monotonic
2024-04-29T22:17:06.182562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 2178
57.3%
14 430
 
11.3%
10 245
 
6.4%
15 127
 
3.3%
0 24
 
0.6%
11000 13
 
0.3%
4 1
 
< 0.1%
(Missing) 786
 
20.7%
ValueCountFrequency (%)
0 24
 
0.6%
4 1
 
< 0.1%
7 2178
57.3%
10 245
 
6.4%
14 430
 
11.3%
15 127
 
3.3%
11000 13
 
0.3%
ValueCountFrequency (%)
11000 13
 
0.3%
15 127
 
3.3%
14 430
 
11.3%
10 245
 
6.4%
7 2178
57.3%
4 1
 
< 0.1%
0 24
 
0.6%

부착금액(행정용)
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)0.5%
Missing2332
Missing (%)61.3%
Infinite0
Infinite (%)0.0%
Mean4016.5761
Minimum0
Maximum55000
Zeros844
Zeros (%)22.2%
Negative0
Negative (%)0.0%
Memory size33.6 KiB
2024-04-29T22:17:06.279551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q39000
95-th percentile11000
Maximum55000
Range55000
Interquartile range (IQR)9000

Descriptive statistics

Standard deviation4848.9092
Coefficient of variation (CV)1.2072245
Kurtosis6.3559387
Mean4016.5761
Median Absolute Deviation (MAD)0
Skewness1.0863741
Sum5912400
Variance23511921
MonotonicityNot monotonic
2024-04-29T22:17:06.370603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 844
 
22.2%
9000 214
 
5.6%
9900 187
 
4.9%
7700 93
 
2.4%
11000 88
 
2.3%
8800 45
 
1.2%
55000 1
 
< 0.1%
(Missing) 2332
61.3%
ValueCountFrequency (%)
0 844
22.2%
7700 93
 
2.4%
8800 45
 
1.2%
9000 214
 
5.6%
9900 187
 
4.9%
11000 88
 
2.3%
55000 1
 
< 0.1%
ValueCountFrequency (%)
55000 1
 
< 0.1%
11000 88
 
2.3%
9900 187
 
4.9%
9000 214
 
5.6%
8800 45
 
1.2%
7700 93
 
2.4%
0 844
22.2%

부착금액(상업용)
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)0.6%
Missing1397
Missing (%)36.7%
Infinite0
Infinite (%)0.0%
Mean10170.914
Minimum0
Maximum66000
Zeros120
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size33.6 KiB
2024-04-29T22:17:06.477289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7700
Q18000
median9000
Q311200
95-th percentile16600
Maximum66000
Range66000
Interquartile range (IQR)3200

Descriptive statistics

Standard deviation6528.3702
Coefficient of variation (CV)0.64186662
Kurtosis50.88471
Mean10170.914
Median Absolute Deviation (MAD)1300
Skewness6.1416172
Sum24481390
Variance42619617
MonotonicityNot monotonic
2024-04-29T22:17:06.578197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
9000 503
 
13.2%
7700 431
 
11.3%
8800 246
 
6.5%
11000 187
 
4.9%
8000 156
 
4.1%
12900 125
 
3.3%
11200 121
 
3.2%
0 120
 
3.2%
12000 101
 
2.7%
16600 95
 
2.5%
Other values (5) 322
 
8.5%
(Missing) 1397
36.7%
ValueCountFrequency (%)
0 120
 
3.2%
7700 431
11.3%
8000 156
 
4.1%
8800 246
6.5%
9000 503
13.2%
9900 91
 
2.4%
10700 55
 
1.4%
11000 187
 
4.9%
11200 121
 
3.2%
11800 59
 
1.6%
ValueCountFrequency (%)
66000 24
 
0.6%
17630 93
2.4%
16600 95
2.5%
12900 125
3.3%
12000 101
2.7%
11800 59
 
1.6%
11200 121
3.2%
11000 187
4.9%
10700 55
 
1.4%
9900 91
2.4%

부착금액(민원수수료)
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.8 KiB
3000
2331 
<NA>
1050 
0
235 
11800
 
188

Length

Max length5
Median length4
Mean length3.8640904
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
3000 2331
61.3%
<NA> 1050
27.6%
0 235
 
6.2%
11800 188
 
4.9%

Length

2024-04-29T22:17:06.713148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:17:07.005274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000 2331
61.3%
na 1050
27.6%
0 235
 
6.2%
11800 188
 
4.9%

부착금액(일일도로점용료)
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)0.7%
Missing2733
Missing (%)71.8%
Infinite0
Infinite (%)0.0%
Mean1915.1354
Minimum0
Maximum9900
Zeros469
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size33.6 KiB
2024-04-29T22:17:07.092185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median600
Q31000
95-th percentile9900
Maximum9900
Range9900
Interquartile range (IQR)1000

Descriptive statistics

Standard deviation3259.5586
Coefficient of variation (CV)1.701999
Kurtosis1.1247144
Mean1915.1354
Median Absolute Deviation (MAD)600
Skewness1.6824531
Sum2051110
Variance10624722
MonotonicityNot monotonic
2024-04-29T22:17:07.186897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 469
 
12.3%
600 155
 
4.1%
9000 101
 
2.7%
990 93
 
2.4%
1000 70
 
1.8%
690 66
 
1.7%
4620 60
 
1.6%
9900 57
 
1.5%
(Missing) 2733
71.8%
ValueCountFrequency (%)
0 469
12.3%
600 155
 
4.1%
690 66
 
1.7%
990 93
 
2.4%
1000 70
 
1.8%
4620 60
 
1.6%
9000 101
 
2.7%
9900 57
 
1.5%
ValueCountFrequency (%)
9900 57
 
1.5%
9000 101
 
2.7%
4620 60
 
1.6%
1000 70
 
1.8%
990 93
 
2.4%
690 66
 
1.7%
600 155
 
4.1%
0 469
12.3%

관리기관명
Text

Distinct102
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size29.8 KiB
2024-04-29T22:17:07.372417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length9.6332808
Min length2

Characters and Unicode

Total characters36645
Distinct characters144
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)0.6%

Sample

1st row(사)경기도옥외광고협회가평군지부
2nd row(사)경기도옥외광고협회가평군지부
3rd row(사)경기도옥외광고협회가평군지부
4th row(사)경기도옥외광고협회가평군지부
5th row(사)경기도옥외광고협회가평군지부
ValueCountFrequency (%)
경기도 390
 
6.8%
경기도옥외광고협회 343
 
6.0%
옥외광고물협회 241
 
4.2%
수원시지부 241
 
4.2%
옥외광고협회 212
 
3.7%
안산시청 201
 
3.5%
도시디자인국 201
 
3.5%
건축디자인과 201
 
3.5%
두리하나화성장애인자립센터 193
 
3.4%
㈜두-테크 188
 
3.3%
Other values (105) 3311
57.9%
2024-04-29T22:17:07.731063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 2885
 
7.9%
1918
 
5.2%
회 1869
 
5.1%
광 1785
 
4.9%
협 1665
 
4.5%
고 1608
 
4.4%
도 1315
 
3.6%
옥 1116
 
3.0%
외 1116
 
3.0%
지 1010
 
2.8%
Other values (134) 20358
55.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33518
91.5%
Space Separator 1918
 
5.2%
Open Punctuation 343
 
0.9%
Close Punctuation 343
 
0.9%
Other Symbol 308
 
0.8%
Dash Punctuation 188
 
0.5%
Decimal Number 27
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 2885
 
8.6%
회 1869
 
5.6%
광 1785
 
5.3%
협 1665
 
5.0%
고 1608
 
4.8%
도 1315
 
3.9%
옥 1116
 
3.3%
외 1116
 
3.3%
지 1010
 
3.0%
경 982
 
2.9%
Other values (121) 18167
54.2%
Decimal Number
ValueCountFrequency (%)
2 12
44.4%
3 5
18.5%
1 4
 
14.8%
7 2
 
7.4%
5 1
 
3.7%
9 1
 
3.7%
4 1
 
3.7%
6 1
 
3.7%
Space Separator
ValueCountFrequency (%)
1918
100.0%
Open Punctuation
ValueCountFrequency (%)
( 343
100.0%
Close Punctuation
ValueCountFrequency (%)
) 343
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 308
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 188
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33826
92.3%
Common 2819
 
7.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 2885
 
8.5%
회 1869
 
5.5%
광 1785
 
5.3%
협 1665
 
4.9%
고 1608
 
4.8%
도 1315
 
3.9%
옥 1116
 
3.3%
외 1116
 
3.3%
지 1010
 
3.0%
경 982
 
2.9%
Other values (122) 18475
54.6%
Common
ValueCountFrequency (%)
1918
68.0%
( 343
 
12.2%
) 343
 
12.2%
- 188
 
6.7%
2 12
 
0.4%
3 5
 
0.2%
1 4
 
0.1%
7 2
 
0.1%
5 1
 
< 0.1%
9 1
 
< 0.1%
Other values (2) 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33518
91.5%
ASCII 2819
 
7.7%
None 308
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 2885
 
8.6%
회 1869
 
5.6%
광 1785
 
5.3%
협 1665
 
5.0%
고 1608
 
4.8%
도 1315
 
3.9%
옥 1116
 
3.3%
외 1116
 
3.3%
지 1010
 
3.0%
경 982
 
2.9%
Other values (121) 18167
54.2%
ASCII
ValueCountFrequency (%)
1918
68.0%
( 343
 
12.2%
) 343
 
12.2%
- 188
 
6.7%
2 12
 
0.4%
3 5
 
0.2%
1 4
 
0.1%
7 2
 
0.1%
5 1
 
< 0.1%
9 1
 
< 0.1%
Other values (2) 2
 
0.1%
None
ValueCountFrequency (%)
㈜ 308
100.0%

관리기관전화번호
Text

MISSING 

Distinct295
Distinct (%)8.4%
Missing304
Missing (%)8.0%
Memory size29.8 KiB
2024-04-29T22:17:07.916654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.055143
Min length9

Characters and Unicode

Total characters42193
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

Unique204 ?
Unique (%)5.8%

Sample

1st row031-582-9866
2nd row031-582-9866
3rd row031-582-9866
4th row031-582-9866
5th row031-582-9866
ValueCountFrequency (%)
031-239-1800 241
 
6.9%
031-366-7922 193
 
5.5%
031-994-4680 188
 
5.4%
02-2680-6577 171
 
4.9%
031-336-8011 156
 
4.5%
031-631-7972 156
 
4.5%
031-481-2404 142
 
4.1%
031-678-2854 134
 
3.8%
031-774-6114 126
 
3.6%
031-765-6775 122
 
3.5%
Other values (285) 1871
53.5%
2024-04-29T22:17:08.237467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 6999
16.6%
0 5730
13.6%
1 5581
13.2%
3 5062
12.0%
2 3124
7.4%
8 2975
7.1%
6 2913
6.9%
7 2586
 
6.1%
9 2569
 
6.1%
5 2383
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 35194
83.4%
Dash Punctuation 6999
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5730
16.3%
1 5581
15.9%
3 5062
14.4%
2 3124
8.9%
8 2975
8.5%
6 2913
8.3%
7 2586
7.3%
9 2569
7.3%
5 2383
6.8%
4 2271
 
6.5%
Dash Punctuation
ValueCountFrequency (%)
- 6999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 42193
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 6999
16.6%
0 5730
13.6%
1 5581
13.2%
3 5062
12.0%
2 3124
7.4%
8 2975
7.1%
6 2913
6.9%
7 2586
 
6.1%
9 2569
 
6.1%
5 2383
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42193
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 6999
16.6%
0 5730
13.6%
1 5581
13.2%
3 5062
12.0%
2 3124
7.4%
8 2975
7.1%
6 2913
6.9%
7 2586
 
6.1%
9 2569
 
6.1%
5 2383
 
5.6%

데이터기준일자
Categorical

Distinct27
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size29.8 KiB
2024-03-04
333 
2024-02-27
322 
2024-02-22
249 
2024-03-05
 
241
2024-02-29
 
240
Other values (22)
2419 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-21
2nd row2024-02-21
3rd row2024-02-21
4th row2024-02-21
5th row2024-02-21

Common Values

ValueCountFrequency (%)
2024-03-04 333
 
8.8%
2024-02-27 322
 
8.5%
2024-02-22 249
 
6.5%
2024-03-05 241
 
6.3%
2024-02-29 240
 
6.3%
2022-04-27 226
 
5.9%
2023-01-31 201
 
5.3%
2023-12-11 188
 
4.9%
2023-09-15 164
 
4.3%
2023-02-17 155
 
4.1%
Other values (17) 1485
39.0%

Length

2024-04-29T22:17:08.361835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2024-03-04 333
 
8.8%
2024-02-27 322
 
8.5%
2024-02-22 249
 
6.5%
2024-03-05 241
 
6.3%
2024-02-29 240
 
6.3%
2022-04-27 226
 
5.9%
2023-01-31 201
 
5.3%
2023-12-11 188
 
4.9%
2023-09-15 164
 
4.3%
2023-02-17 155
 
4.1%
Other values (17) 1485
39.0%

Sample

시군명읍면동명용도구분게시대명소재지도로명주소소재지지번주소위도경도게시대수현수막규격(너비)(cm)현수막규격(높이)(cm)게시면수(행정용)게시면수(상업용)부착일수부착금액(행정용)부착금액(상업용)부착금액(민원수수료)부착금액(일일도로점용료)관리기관명관리기관전화번호데이터기준일자
0가평군가평읍상업용가평역 건너편(G120)<NA>경기도 가평군 가평읍 달전리 583-737.812986127.510761600.070.0<NA>67<NA>12900<NA><NA>(사)경기도옥외광고협회가평군지부031-582-98662024-02-21
1가평군가평읍상업용가평역 삼거리(G70)<NA>경기도 가평군 가평읍 달전리 435-1537.815076127.5149031600.070.0<NA>67<NA>12900<NA><NA>(사)경기도옥외광고협회가평군지부031-582-98662024-02-21
2가평군가평읍상업용가평읍사무소(G30)경기도 가평군 가평읍 가화로 62경기도 가평군 가평읍 읍내리 366번지37.825363127.516542600.070.0<NA>127<NA>12900<NA><NA>(사)경기도옥외광고협회가평군지부031-582-98662024-02-21
3가평군가평읍상업용군청앞(G10)<NA>경기도 가평군 가평읍 읍내리 509-137.831609127.5104673600.070.0<NA>187<NA>12900<NA><NA>(사)경기도옥외광고협회가평군지부031-582-98662024-02-21
4가평군가평읍상업용달전리(성빈남이빌라앞)(G60)<NA>경기도 가평군 가평읍 달전리 470-137.812754127.5156221600.070.0<NA>67<NA>12900<NA><NA>(사)경기도옥외광고협회가평군지부031-582-98662024-02-21
5가평군가평읍상업용대곡리(감나무집 앞)(G40)<NA>경기도 가평군 가평읍 대곡리 687-237.817273127.5101521600.070.0<NA>67<NA>12900<NA><NA>(사)경기도옥외광고협회가평군지부031-582-98662024-02-21
6가평군상면상업용덕현리교차로(G360)<NA>경기도 가평군 상면 덕현리 355-2237.76393127.3933042600.070.0<NA>127<NA>12900<NA><NA>(사)경기도옥외광고협회가평군지부031-582-98662024-02-21
7가평군북면상업용목동리 명지식당 맞은편(G160)<NA>경기도 가평군 북면 목동리 900-137.887588127.5484791600.070.0<NA>67<NA>12900<NA><NA>(사)경기도옥외광고협회가평군지부031-582-98662024-02-21
8가평군북면상업용목동삼거리 앞(G150)경기도 가평군 북면 가화로 1004경기도 가평군 북면 목동리 825-9번지37.885194127.5491192600.070.0<NA>107<NA>12900<NA><NA>(사)경기도옥외광고협회가평군지부031-582-98662024-02-21
9가평군상면상업용상면사무소 앞(G320)<NA>경기도 가평군 상면 연하리 174-1837.805607127.3567943600.070.0<NA>187<NA>12900<NA><NA>(사)경기도옥외광고협회가평군지부031-582-98662024-02-21
시군명읍면동명용도구분게시대명소재지도로명주소소재지지번주소위도경도게시대수현수막규격(너비)(cm)현수막규격(높이)(cm)게시면수(행정용)게시면수(상업용)부착일수부착금액(행정용)부착금액(상업용)부착금액(민원수수료)부착금액(일일도로점용료)관리기관명관리기관전화번호데이터기준일자
3794화성시영천동행정용한백초사거리(중학교 방향)경기도 화성시 동탄순환대로26길 37경기도 화성시 영천동 71537.208366127.1146981600.070.02<NA>140<NA><NA><NA>화성시청031-5189-24022024-02-27
3795화성시매송면행정용함백산추모공원경기도 화성시 매송면 서해로 2448-32경기도 화성시 매송면 숙곡리 산12-1437.270621126.9100731600.070.06<NA>140<NA><NA><NA>화성시청031-5189-24232024-02-27
3796화성시향남읍행정용향남역 인근경기도 화성시 평리 188-3경기도 화성시 향남읍 평리 188-337.123267126.9140891600.070.06<NA><NA><NA><NA><NA><NA>화성시청031-5189-26122024-02-27
3797화성시향남읍행정용향남읍 하길리 산17-1경기도 화성시 향남읍 하길리 산17-1경기도 화성시 향남읍 하길리 산17-137.115504126.9174621600.070.06<NA><NA><NA><NA><NA><NA>화성시청031-5189-26172024-02-27
3798화성시향남읍행정용향남읍 행정복지센터(6단형)경기도 화성시 향남읍 발안로 89경기도 화성시 향남읍 행정리 287-137.132424126.9203351600.070.06<NA><NA><NA><NA><NA><NA>화성시청031-5189-26132024-02-27
3799화성시신동행정용호반써밋동탄 버스정류장 인근경기도 화성시 신동 178-1경기도 화성시 신동 178-137.17337127.1335821600.070.06<NA>140<NA><NA><NA>화성시청031-5189-24142024-02-27
3800화성시안녕동행정용화산동 행정복지센터 앞경기도 화성시 안녕동 20-1경기도 화성시 안녕동 20-137.205882127.0144171600.070.06<NA>140<NA><NA><NA>화성시청031-5189-23432024-02-27
3801화성시봉담읍행정용화성국민체육센터경기도 화성시 봉담읍 동화길 18경기도 화성시 봉담읍 동화리 406-137.220668126.9517281600.070.06<NA>140<NA><NA><NA>화성시청031-5189-24262024-02-27
3802화성시향남읍행정용화성시 평화공원 내경기도 화성시 향남읍 행정중앙1로 19경기도 화성시 향남읍 행정리 44437.127921126.917421600.070.03<NA><NA><NA><NA><NA><NA>화성시청031-5189-26162024-02-27
3803화성시향남읍행정용화성한방병원 인근(2열형)경기도 화성시 하길리 1486경기도 화성시 향남읍 하길리 148637.115522126.912211600.070.02<NA><NA><NA><NA><NA><NA>화성시청031-5189-26112024-02-27

Duplicate rows

Most frequently occurring

시군명읍면동명용도구분게시대명소재지도로명주소소재지지번주소위도경도게시대수현수막규격(너비)(cm)현수막규격(높이)(cm)게시면수(행정용)게시면수(상업용)부착일수부착금액(행정용)부착금액(상업용)부착금액(민원수수료)부착금액(일일도로점용료)관리기관명관리기관전화번호데이터기준일자# duplicates
2남양주시다산2동상업용남부경찰서 앞 덕소방면<NA>경기도 남양주시 다산동 6284-637.612342127.1717041580.070.0<NA>67<NA>77003000<NA>남양주옥외광고협회031-592-99112024-02-293
5남양주시별내면행정용별내면사무소 청사경기도 남양주시 별내면 청학로8번길 22경기도 남양주시 별내면 광전리 122-6번지37.702632127.1247361580.070.06<NA><NA>0<NA>0<NA>별내면 사무소031-590-49272024-02-293
8남양주시오남읍행정용오남읍사무소 청사 앞경기도 남양주시 오남읍 진건오남로 806-34경기도 남양주시 오남읍 양지리 96-10번지37.698693127.2045331580.070.06<NA><NA>0<NA>0<NA>오남읍사무소031-590-14322024-02-293
9남양주시와부읍행정용와부읍사무소 청사<NA>경기도 남양주시 와부읍 덕소리 108-637.584338127.216781580.070.06<NA><NA>0<NA>0<NA>와부읍사무소031-590-48092024-02-293
11남양주시진접읍행정용진접읍사무소 청사<NA>경기도 남양주시 진접읍 장현리 68-3937.726269127.1898391580.070.06<NA><NA>0<NA>0<NA>진접읍사무소031-590-58432024-02-293
12남양주시퇴계원읍상업용퇴계원사거리1경기도 남양주시 퇴계원읍 경춘북로514번길 4경기도 남양주시 퇴계원읍 퇴계원리 322-3번지37.646745127.1408481580.070.0<NA>67<NA>77003000<NA>한국지체장애인협회남양주시지회031-591-69312024-02-293
15남양주시화도읍행정용화도읍사무소 청사경기도 남양주시 화도읍 비룡로 59경기도 남양주시 화도읍 마석우리 548번지37.657613127.3006361580.070.06<NA><NA>0<NA>0<NA>화도읍 사무소031-590-54982024-02-293
29양평군양평읍상업용+행정용오스타코아루 뒤 주차장 옆경기도 양평군 양평읍 역전길 20경기도 양평군 양평읍 양근리 381-2번지37.491659127.4910751<NA><NA><NA><NA>10090003000<NA>양평광고협회031-774-61142023-07-203
34양평군용문면상업용다문4리 방공포대 삼거리<NA>경기도 양평군 용문면 다문리 361-237.487611127.5976921<NA><NA><NA><NA>10090003000<NA>양평광고협회031-774-61142023-07-203
0남양주시금곡동행정용남양주시청 정문 앞경기도 남양주시 경춘로 1037경기도 남양주시 금곡동 185-10번지37.635668127.2162471580.070.06<NA><NA>0<NA>0<NA>금곡동사무소031-590-29632024-02-292