Overview

Dataset statistics

Number of variables11
Number of observations10000
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory947.3 KiB
Average record size in memory97.0 B

Variable types

Numeric1
DateTime1
Text4
Categorical5

Dataset

Description인천광역시 남동구 옥외광고물시스템 전수조사 현황에 대한 데이터로 연번, 전수조사등록일자, 업소명, 소재지도로명주소, 소재지지번주소, 광고물 종류, 수량, 광고내용, 조명종류, 업종구분, 데이터기준일 항목을 제공합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15087223&srcSe=7661IVAWM27C61E190

Alerts

수량 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-28 12:57:15.572033
Analysis finished2024-01-28 12:57:17.666820
Duration2.09 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32941.946
Minimum13
Maximum65531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-28T21:57:17.728168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile3264.75
Q116690
median32859
Q349473.5
95-th percentile62349.1
Maximum65531
Range65518
Interquartile range (IQR)32783.5

Descriptive statistics

Standard deviation18895.361
Coefficient of variation (CV)0.57359577
Kurtosis-1.1899871
Mean32941.946
Median Absolute Deviation (MAD)16356
Skewness-0.0086245529
Sum3.2941946 × 108
Variance3.5703466 × 108
MonotonicityNot monotonic
2024-01-28T21:57:17.841474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52525 1
 
< 0.1%
16662 1
 
< 0.1%
61146 1
 
< 0.1%
50939 1
 
< 0.1%
46096 1
 
< 0.1%
58381 1
 
< 0.1%
25383 1
 
< 0.1%
16520 1
 
< 0.1%
63619 1
 
< 0.1%
8450 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
13 1
< 0.1%
15 1
< 0.1%
20 1
< 0.1%
21 1
< 0.1%
23 1
< 0.1%
28 1
< 0.1%
30 1
< 0.1%
34 1
< 0.1%
45 1
< 0.1%
51 1
< 0.1%
ValueCountFrequency (%)
65531 1
< 0.1%
65526 1
< 0.1%
65518 1
< 0.1%
65509 1
< 0.1%
65503 1
< 0.1%
65502 1
< 0.1%
65501 1
< 0.1%
65498 1
< 0.1%
65493 1
< 0.1%
65482 1
< 0.1%

전수조사등록일자
Date

Distinct124
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2013-10-07 00:00:00
Maximum2015-07-10 00:00:00
2024-01-28T21:57:17.950115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:57:18.051658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct7500
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-28T21:57:18.303117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length6.2923
Min length1

Characters and Unicode

Total characters62923
Distinct characters989
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5731 ?
Unique (%)57.3%

Sample

1st row벨노래연습장
2nd row(주)기성
3rd row꿀포차
4th row박사부동산
5th rowFUZI XEROX
ValueCountFrequency (%)
간석점 67
 
0.5%
노래연습장 43
 
0.4%
bar 43
 
0.4%
부동산 39
 
0.3%
구월점 37
 
0.3%
공인중개사 37
 
0.3%
gs25 30
 
0.2%
노래방 29
 
0.2%
인테리어 24
 
0.2%
김밥천국 23
 
0.2%
Other values (8220) 11908
97.0%
2024-01-28T21:57:18.686964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2280
 
3.6%
인 1025
 
1.6%
이 977
 
1.6%
스 893
 
1.4%
리 890
 
1.4%
사 866
 
1.4%
동 833
 
1.3%
원 794
 
1.3%
어 793
 
1.3%
점 667
 
1.1%
Other values (979) 52905
84.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 54335
86.4%
Uppercase Letter 2973
 
4.7%
Space Separator 2280
 
3.6%
Lowercase Letter 1850
 
2.9%
Decimal Number 652
 
1.0%
Open Punctuation 309
 
0.5%
Close Punctuation 308
 
0.5%
Other Punctuation 176
 
0.3%
Dash Punctuation 20
 
< 0.1%
Math Symbol 18
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 1025
 
1.9%
이 977
 
1.8%
스 893
 
1.6%
리 890
 
1.6%
사 866
 
1.6%
동 833
 
1.5%
원 794
 
1.5%
어 793
 
1.5%
점 667
 
1.2%
장 659
 
1.2%
Other values (900) 45938
84.5%
Lowercase Letter
ValueCountFrequency (%)
e 261
14.1%
o 177
 
9.6%
a 146
 
7.9%
i 128
 
6.9%
r 121
 
6.5%
c 108
 
5.8%
s 107
 
5.8%
n 98
 
5.3%
t 95
 
5.1%
l 92
 
5.0%
Other values (16) 517
27.9%
Uppercase Letter
ValueCountFrequency (%)
E 258
 
8.7%
S 236
 
7.9%
A 232
 
7.8%
C 217
 
7.3%
B 194
 
6.5%
O 185
 
6.2%
P 149
 
5.0%
L 145
 
4.9%
N 136
 
4.6%
R 134
 
4.5%
Other values (16) 1087
36.6%
Decimal Number
ValueCountFrequency (%)
2 126
19.3%
0 101
15.5%
1 101
15.5%
5 82
12.6%
4 66
10.1%
7 60
9.2%
3 40
 
6.1%
8 31
 
4.8%
9 27
 
4.1%
6 18
 
2.8%
Other Punctuation
ValueCountFrequency (%)
& 82
46.6%
. 69
39.2%
! 9
 
5.1%
/ 7
 
4.0%
, 5
 
2.8%
" 2
 
1.1%
# 1
 
0.6%
% 1
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 282
91.3%
[ 27
 
8.7%
Close Punctuation
ValueCountFrequency (%)
) 281
91.2%
] 27
 
8.8%
Math Symbol
ValueCountFrequency (%)
+ 16
88.9%
~ 2
 
11.1%
Space Separator
ValueCountFrequency (%)
2280
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 54331
86.3%
Latin 4823
 
7.7%
Common 3765
 
6.0%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 1025
 
1.9%
이 977
 
1.8%
스 893
 
1.6%
리 890
 
1.6%
사 866
 
1.6%
동 833
 
1.5%
원 794
 
1.5%
어 793
 
1.5%
점 667
 
1.2%
장 659
 
1.2%
Other values (896) 45934
84.5%
Latin
ValueCountFrequency (%)
e 261
 
5.4%
E 258
 
5.3%
S 236
 
4.9%
A 232
 
4.8%
C 217
 
4.5%
B 194
 
4.0%
O 185
 
3.8%
o 177
 
3.7%
P 149
 
3.1%
a 146
 
3.0%
Other values (42) 2768
57.4%
Common
ValueCountFrequency (%)
2280
60.6%
( 282
 
7.5%
) 281
 
7.5%
2 126
 
3.3%
0 101
 
2.7%
1 101
 
2.7%
& 82
 
2.2%
5 82
 
2.2%
. 69
 
1.8%
4 66
 
1.8%
Other values (17) 295
 
7.8%
Han
ValueCountFrequency (%)
生 1
25.0%
辛 1
25.0%
名 1
25.0%
品 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 54317
86.3%
ASCII 8588
 
13.6%
Compat Jamo 14
 
< 0.1%
CJK 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2280
26.5%
( 282
 
3.3%
) 281
 
3.3%
e 261
 
3.0%
E 258
 
3.0%
S 236
 
2.7%
A 232
 
2.7%
C 217
 
2.5%
B 194
 
2.3%
O 185
 
2.2%
Other values (69) 4162
48.5%
Hangul
ValueCountFrequency (%)
인 1025
 
1.9%
이 977
 
1.8%
스 893
 
1.6%
리 890
 
1.6%
사 866
 
1.6%
동 833
 
1.5%
원 794
 
1.5%
어 793
 
1.5%
점 667
 
1.2%
장 659
 
1.2%
Other values (886) 45920
84.5%
Compat Jamo
ValueCountFrequency (%)
ㅏ 3
21.4%
ㅎ 2
14.3%
ㄴ 2
14.3%
ㅓ 1
 
7.1%
ㄷ 1
 
7.1%
ㄹ 1
 
7.1%
ㅔ 1
 
7.1%
ㅇ 1
 
7.1%
ㅁ 1
 
7.1%
ㅝ 1
 
7.1%
CJK
ValueCountFrequency (%)
生 1
25.0%
辛 1
25.0%
名 1
25.0%
品 1
25.0%

소재지도로명주소
Text

Distinct3608
Distinct (%)36.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-28T21:57:18.967379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length18.6198
Min length9

Characters and Unicode

Total characters186198
Distinct characters121
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1560 ?
Unique (%)15.6%

Sample

1st row인천광역시 남동구 호구포로 221
2nd row인천광역시 남동구 정각로 14
3rd row인천광역시 남동구 문화서로 12
4th row인천광역시 남동구 구월로56번길 36
5th row인천광역시 남동구 장승로 32
ValueCountFrequency (%)
인천광역시 10000
25.1%
남동구 10000
25.1%
남동대로 383
 
1.0%
구월로 371
 
0.9%
백범로 363
 
0.9%
구월남로 325
 
0.8%
석산로 293
 
0.7%
호구포로 289
 
0.7%
인주대로 271
 
0.7%
용천로 231
 
0.6%
Other values (1265) 17297
43.4%
2024-01-28T21:57:19.598156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29823
16.0%
구 11749
 
6.3%
남 11682
 
6.3%
인 11182
 
6.0%
동 11043
 
5.9%
천 10358
 
5.6%
역 10127
 
5.4%
광 10000
 
5.4%
시 10000
 
5.4%
로 9911
 
5.3%
Other values (111) 60323
32.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 123191
66.2%
Decimal Number 33184
 
17.8%
Space Separator 29823
 
16.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 11749
9.5%
남 11682
9.5%
인 11182
9.1%
동 11043
9.0%
천 10358
8.4%
역 10127
8.2%
광 10000
8.1%
시 10000
8.1%
로 9911
8.0%
길 4407
 
3.6%
Other values (100) 22732
18.5%
Decimal Number
ValueCountFrequency (%)
1 5170
15.6%
2 4221
12.7%
3 3672
11.1%
5 3409
10.3%
4 3344
10.1%
6 3131
9.4%
7 2901
8.7%
8 2832
8.5%
9 2457
7.4%
0 2047
 
6.2%
Space Separator
ValueCountFrequency (%)
29823
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 123191
66.2%
Common 63007
33.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 11749
9.5%
남 11682
9.5%
인 11182
9.1%
동 11043
9.0%
천 10358
8.4%
역 10127
8.2%
광 10000
8.1%
시 10000
8.1%
로 9911
8.0%
길 4407
 
3.6%
Other values (100) 22732
18.5%
Common
ValueCountFrequency (%)
29823
47.3%
1 5170
 
8.2%
2 4221
 
6.7%
3 3672
 
5.8%
5 3409
 
5.4%
4 3344
 
5.3%
6 3131
 
5.0%
7 2901
 
4.6%
8 2832
 
4.5%
9 2457
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 123191
66.2%
ASCII 63007
33.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29823
47.3%
1 5170
 
8.2%
2 4221
 
6.7%
3 3672
 
5.8%
5 3409
 
5.4%
4 3344
 
5.3%
6 3131
 
5.0%
7 2901
 
4.6%
8 2832
 
4.5%
9 2457
 
3.9%
Hangul
ValueCountFrequency (%)
구 11749
9.5%
남 11682
9.5%
인 11182
9.1%
동 11043
9.0%
천 10358
8.4%
역 10127
8.2%
광 10000
8.1%
시 10000
8.1%
로 9911
8.0%
길 4407
 
3.6%
Other values (100) 22732
18.5%

소재지지번주소
Text

Distinct3978
Distinct (%)39.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-28T21:57:19.984363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length19.3371
Min length16

Characters and Unicode

Total characters193371
Distinct characters38
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

Unique1899 ?
Unique (%)19.0%

Sample

1st row인천광역시 남동구 논현동 647-1
2nd row인천광역시 남동구 구월동 1136
3rd row인천광역시 남동구 구월동 1379-7
4th row인천광역시 남동구 간석동 508-75
5th row인천광역시 남동구 만수동 1015
ValueCountFrequency (%)
인천광역시 10000
25.0%
남동구 10000
25.0%
구월동 3225
 
8.1%
간석동 2821
 
7.1%
만수동 2264
 
5.7%
논현동 933
 
2.3%
고잔동 316
 
0.8%
남촌동 233
 
0.6%
서창동 108
 
0.3%
도림동 60
 
0.1%
Other values (3911) 10040
25.1%
2024-01-28T21:57:20.483014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30000
15.5%
동 20000
 
10.3%
구 13225
 
6.8%
1 11421
 
5.9%
남 10233
 
5.3%
인 10000
 
5.2%
광 10000
 
5.2%
역 10000
 
5.2%
시 10000
 
5.2%
천 10000
 
5.2%
Other values (28) 58492
30.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 110000
56.9%
Decimal Number 44728
23.1%
Space Separator 30000
 
15.5%
Dash Punctuation 8643
 
4.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 20000
18.2%
구 13225
12.0%
남 10233
9.3%
인 10000
9.1%
광 10000
9.1%
역 10000
9.1%
시 10000
9.1%
천 10000
9.1%
월 3225
 
2.9%
간 2821
 
2.6%
Other values (16) 10496
9.5%
Decimal Number
ValueCountFrequency (%)
1 11421
25.5%
2 5245
11.7%
3 4375
 
9.8%
6 3919
 
8.8%
4 3898
 
8.7%
9 3328
 
7.4%
7 3304
 
7.4%
5 3276
 
7.3%
0 3131
 
7.0%
8 2831
 
6.3%
Space Separator
ValueCountFrequency (%)
30000
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8643
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 110000
56.9%
Common 83371
43.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 20000
18.2%
구 13225
12.0%
남 10233
9.3%
인 10000
9.1%
광 10000
9.1%
역 10000
9.1%
시 10000
9.1%
천 10000
9.1%
월 3225
 
2.9%
간 2821
 
2.6%
Other values (16) 10496
9.5%
Common
ValueCountFrequency (%)
30000
36.0%
1 11421
 
13.7%
- 8643
 
10.4%
2 5245
 
6.3%
3 4375
 
5.2%
6 3919
 
4.7%
4 3898
 
4.7%
9 3328
 
4.0%
7 3304
 
4.0%
5 3276
 
3.9%
Other values (2) 5962
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 110000
56.9%
ASCII 83371
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30000
36.0%
1 11421
 
13.7%
- 8643
 
10.4%
2 5245
 
6.3%
3 4375
 
5.2%
6 3919
 
4.7%
4 3898
 
4.7%
9 3328
 
4.0%
7 3304
 
4.0%
5 3276
 
3.9%
Other values (2) 5962
 
7.2%
Hangul
ValueCountFrequency (%)
동 20000
18.2%
구 13225
12.0%
남 10233
9.3%
인 10000
9.1%
광 10000
9.1%
역 10000
9.1%
시 10000
9.1%
천 10000
9.1%
월 3225
 
2.9%
간 2821
 
2.6%
Other values (16) 10496
9.5%

광고물 종류
Categorical

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
가로형간판
4308 
돌출간판
2312 
세로형간판
1369 
창문이용광고물
1010 
가로형간판_입체형
542 
Other values (4)
459 

Length

Max length9
Median length5
Mean length5.2354
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row가로형간판
2nd row가로형간판
3rd row돌출간판
4th row돌출간판
5th row창문이용광고물

Common Values

ValueCountFrequency (%)
가로형간판 4308
43.1%
돌출간판 2312
23.1%
세로형간판 1369
 
13.7%
창문이용광고물 1010
 
10.1%
가로형간판_입체형 542
 
5.4%
지주이용 간판 295
 
2.9%
옥상간판 136
 
1.4%
현수막게시틀 27
 
0.3%
기타 1
 
< 0.1%

Length

2024-01-28T21:57:20.606360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:57:20.707414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가로형간판 4308
41.8%
돌출간판 2312
22.5%
세로형간판 1369
 
13.3%
창문이용광고물 1010
 
9.8%
가로형간판_입체형 542
 
5.3%
지주이용 295
 
2.9%
간판 295
 
2.9%
옥상간판 136
 
1.3%
현수막게시틀 27
 
0.3%
기타 1
 
< 0.1%

수량
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 10000
100.0%

Length

2024-01-28T21:57:20.809400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:57:20.889471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 10000
100.0%

광고내용
Text

Distinct8255
Distinct (%)82.6%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2024-01-28T21:57:21.120019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length7.3687369
Min length1

Characters and Unicode

Total characters73680
Distinct characters1028
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7071 ?
Unique (%)70.7%

Sample

1st row벨노래연습장
2nd row(주)기성
3rd row꿀포차[led전광판]
4th row박사부동산
5th rowFUZI XEROX[2면]
ValueCountFrequency (%)
외 209
 
1.6%
led테두리 66
 
0.5%
노래방 58
 
0.4%
led전광판 42
 
0.3%
bar 42
 
0.3%
부동산 42
 
0.3%
노래연습장 37
 
0.3%
공인중개사 34
 
0.3%
싸인볼 26
 
0.2%
cu 25
 
0.2%
Other values (9313) 12788
95.7%
2024-01-28T21:57:21.521587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3370
 
4.6%
리 1253
 
1.7%
] 1141
 
1.5%
[ 1137
 
1.5%
인 1050
 
1.4%
이 961
 
1.3%
e 857
 
1.2%
스 793
 
1.1%
어 789
 
1.1%
동 760
 
1.0%
Other values (1018) 61569
83.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56431
76.6%
Uppercase Letter 5231
 
7.1%
Lowercase Letter 4185
 
5.7%
Space Separator 3370
 
4.6%
Close Punctuation 1340
 
1.8%
Open Punctuation 1336
 
1.8%
Decimal Number 962
 
1.3%
Other Punctuation 723
 
1.0%
Math Symbol 47
 
0.1%
Dash Punctuation 45
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 1253
 
2.2%
인 1050
 
1.9%
이 961
 
1.7%
스 793
 
1.4%
어 789
 
1.4%
동 760
 
1.3%
전 750
 
1.3%
원 747
 
1.3%
사 741
 
1.3%
장 692
 
1.2%
Other values (933) 47895
84.9%
Lowercase Letter
ValueCountFrequency (%)
e 857
20.5%
l 677
16.2%
d 597
14.3%
o 245
 
5.9%
a 216
 
5.2%
r 170
 
4.1%
i 165
 
3.9%
n 149
 
3.6%
s 147
 
3.5%
t 141
 
3.4%
Other values (16) 821
19.6%
Uppercase Letter
ValueCountFrequency (%)
E 626
 
12.0%
L 486
 
9.3%
D 373
 
7.1%
A 352
 
6.7%
S 347
 
6.6%
O 328
 
6.3%
C 292
 
5.6%
B 234
 
4.5%
T 233
 
4.5%
R 215
 
4.1%
Other values (16) 1745
33.4%
Other Punctuation
ValueCountFrequency (%)
. 530
73.3%
& 90
 
12.4%
/ 46
 
6.4%
, 30
 
4.1%
! 10
 
1.4%
* 6
 
0.8%
: 5
 
0.7%
; 2
 
0.3%
" 2
 
0.3%
# 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
2 177
18.4%
1 143
14.9%
0 121
12.6%
4 113
11.7%
5 103
10.7%
7 84
8.7%
3 67
 
7.0%
8 63
 
6.5%
6 47
 
4.9%
9 44
 
4.6%
Math Symbol
ValueCountFrequency (%)
+ 37
78.7%
> 5
 
10.6%
~ 3
 
6.4%
= 1
 
2.1%
< 1
 
2.1%
Close Punctuation
ValueCountFrequency (%)
] 1141
85.1%
) 199
 
14.9%
Open Punctuation
ValueCountFrequency (%)
[ 1137
85.1%
( 199
 
14.9%
Space Separator
ValueCountFrequency (%)
3370
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56425
76.6%
Latin 9416
 
12.8%
Common 7833
 
10.6%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 1253
 
2.2%
인 1050
 
1.9%
이 961
 
1.7%
스 793
 
1.4%
어 789
 
1.4%
동 760
 
1.3%
전 750
 
1.3%
원 747
 
1.3%
사 741
 
1.3%
장 692
 
1.2%
Other values (927) 47889
84.9%
Latin
ValueCountFrequency (%)
e 857
 
9.1%
l 677
 
7.2%
E 626
 
6.6%
d 597
 
6.3%
L 486
 
5.2%
D 373
 
4.0%
A 352
 
3.7%
S 347
 
3.7%
O 328
 
3.5%
C 292
 
3.1%
Other values (42) 4481
47.6%
Common
ValueCountFrequency (%)
3370
43.0%
] 1141
 
14.6%
[ 1137
 
14.5%
. 530
 
6.8%
) 199
 
2.5%
( 199
 
2.5%
2 177
 
2.3%
1 143
 
1.8%
0 121
 
1.5%
4 113
 
1.4%
Other values (23) 703
 
9.0%
Han
ValueCountFrequency (%)
名 1
16.7%
品 1
16.7%
美 1
16.7%
容 1
16.7%
室 1
16.7%
辛 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56418
76.6%
ASCII 17249
 
23.4%
Compat Jamo 7
 
< 0.1%
CJK 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3370
19.5%
] 1141
 
6.6%
[ 1137
 
6.6%
e 857
 
5.0%
l 677
 
3.9%
E 626
 
3.6%
d 597
 
3.5%
. 530
 
3.1%
L 486
 
2.8%
D 373
 
2.2%
Other values (75) 7455
43.2%
Hangul
ValueCountFrequency (%)
리 1253
 
2.2%
인 1050
 
1.9%
이 961
 
1.7%
스 793
 
1.4%
어 789
 
1.4%
동 760
 
1.3%
전 750
 
1.3%
원 747
 
1.3%
사 741
 
1.3%
장 692
 
1.2%
Other values (921) 47882
84.9%
Compat Jamo
ValueCountFrequency (%)
ㄷ 2
28.6%
ㅁ 1
14.3%
ㅇ 1
14.3%
ㅡ 1
14.3%
ㅈ 1
14.3%
ㅌ 1
14.3%
CJK
ValueCountFrequency (%)
名 1
16.7%
品 1
16.7%
美 1
16.7%
容 1
16.7%
室 1
16.7%
辛 1
16.7%

조명 종류
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반조명
5848 
비조명
2216 
전광
1159 
네온사인
 
313
LED
 
223
Other values (3)
 
241

Length

Max length4
Median length4
Mean length3.5235
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반조명
2nd row일반조명
3rd row전광
4th row일반조명
5th row비조명

Common Values

ValueCountFrequency (%)
일반조명 5848
58.5%
비조명 2216
 
22.2%
전광 1159
 
11.6%
네온사인 313
 
3.1%
LED 223
 
2.2%
간접조명 223
 
2.2%
기타재료 14
 
0.1%
화공 4
 
< 0.1%

Length

2024-01-28T21:57:21.652866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:57:21.747768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반조명 5848
58.5%
비조명 2216
 
22.2%
전광 1159
 
11.6%
네온사인 313
 
3.1%
led 223
 
2.2%
간접조명 223
 
2.2%
기타재료 14
 
0.1%
화공 4
 
< 0.1%

업종구분
Categorical

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
기타
6012 
일반음식점
1918 
이미용업
 
540
노래방
 
427
주점(유흥,단란)
 
280
Other values (9)
823 

Length

Max length9
Median length2
Mean length3.0775
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row노래방
2nd row기타
3rd row일반음식점
4th row기타
5th row기타

Common Values

ValueCountFrequency (%)
기타 6012
60.1%
일반음식점 1918
 
19.2%
이미용업 540
 
5.4%
노래방 427
 
4.3%
주점(유흥,단란) 280
 
2.8%
유기장업 227
 
2.3%
휴게음식점 193
 
1.9%
숙박업 102
 
1.0%
교육시설 77
 
0.8%
부동산 75
 
0.8%
Other values (4) 149
 
1.5%

Length

2024-01-28T21:57:21.880276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타 6012
60.1%
일반음식점 1918
 
19.2%
이미용업 540
 
5.4%
노래방 427
 
4.3%
주점(유흥,단란 280
 
2.8%
유기장업 227
 
2.3%
휴게음식점 193
 
1.9%
숙박업 102
 
1.0%
교육시설 77
 
0.8%
부동산 75
 
0.8%
Other values (4) 149
 
1.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-05-17
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-17
2nd row2023-05-17
3rd row2023-05-17
4th row2023-05-17
5th row2023-05-17

Common Values

ValueCountFrequency (%)
2023-05-17 10000
100.0%

Length

2024-01-28T21:57:21.980739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:57:22.067061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-17 10000
100.0%

Interactions

2024-01-28T21:57:17.284784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T21:57:22.168475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번광고물 종류조명 종류업종구분
연번1.0000.1690.1310.200
광고물 종류0.1691.0000.5260.176
조명 종류0.1310.5261.0000.371
업종구분0.2000.1760.3711.000
2024-01-28T21:57:22.253862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종구분조명 종류광고물 종류
업종구분1.0000.1730.075
조명 종류0.1731.0000.291
광고물 종류0.0750.2911.000
2024-01-28T21:57:22.326914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번광고물 종류조명 종류업종구분
연번1.0000.0770.0630.082
광고물 종류0.0771.0000.2910.075
조명 종류0.0630.2911.0000.173
업종구분0.0820.0750.1731.000

Missing values

2024-01-28T21:57:17.423883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T21:57:17.598148image/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

연번전수조사등록일자업소명소재지도로명주소소재지지번주소광고물 종류수량광고내용조명 종류업종구분데이터기준일자
52524525252013-12-18벨노래연습장인천광역시 남동구 호구포로 221인천광역시 남동구 논현동 647-1가로형간판1벨노래연습장일반조명노래방2023-05-17
929192922013-10-22(주)기성인천광역시 남동구 정각로 14인천광역시 남동구 구월동 1136가로형간판1(주)기성일반조명기타2023-05-17
64296642972013-11-06꿀포차인천광역시 남동구 문화서로 12인천광역시 남동구 구월동 1379-7돌출간판1꿀포차[led전광판]전광일반음식점2023-05-17
22378223792013-11-04박사부동산인천광역시 남동구 구월로56번길 36인천광역시 남동구 간석동 508-75돌출간판1박사부동산일반조명기타2023-05-17
221322142013-10-11FUZI XEROX인천광역시 남동구 장승로 32인천광역시 남동구 만수동 1015창문이용광고물1FUZI XEROX[2면]비조명기타2023-05-17
292829292013-10-14베스트공인중개사인천광역시 남동구 인주대로604번길 83인천광역시 남동구 구월동 1162-20세로형간판1오피스텔...일반조명부동산2023-05-17
44902449032013-12-03주홍아뜨리에인천광역시 남동구 서판로 35인천광역시 남동구 만수동 1114돌출간판1주홍아뜨리에일반조명기타2023-05-17
30798307992013-11-14네비원 인천점인천광역시 남동구 문화로115번길 48인천광역시 남동구 구월동 1122-2가로형간판1V-KOOL비조명기타2023-05-17
20294202952013-11-03정우방아간인천광역시 남동구 문화서로18번길 5인천광역시 남동구 구월동 1370-18가로형간판1정우떡방아간일반조명기타2023-05-17
60090600912013-12-20주택나라 부동산인천광역시 남동구 만수서로 101인천광역시 남동구 만수동 6-43지주이용 간판1주택나라 부동산일반조명기타2023-05-17
연번전수조사등록일자업소명소재지도로명주소소재지지번주소광고물 종류수량광고내용조명 종류업종구분데이터기준일자
29287292882013-11-19교촌치킨인천광역시 남동구 석산로 181인천광역시 남동구 간석동 153-21가로형간판1교촌치킨[규격상이]전광일반음식점2023-05-17
25540255412013-11-13김밥속에단무지인천광역시 남동구 백범로 404인천광역시 남동구 간석동 216-11창문이용광고물1[led테두리]김밥속에단무지전광일반음식점2023-05-17
16095160962013-10-30미소 노래연습장인천광역시 남동구 구월로 287인천광역시 남동구 만수동 906-8돌출간판1미소 노래연습장네온사인노래방2023-05-17
579057912013-10-09황금부동산인천광역시 남동구 구월로 212인천광역시 남동구 구월동 23가로형간판1황금부동산LED부동산2023-05-17
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