Overview

Dataset statistics

Number of variables11
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory947.3 KiB
Average record size in memory97.0 B

Variable types

Numeric1
DateTime2
Text4
Categorical4

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

데이터기준일자 has constant value ""Constant
수량 is highly imbalanced (99.8%)Imbalance
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-28 12:57:01.078444
Analysis finished2024-01-28 12:57:02.681123
Duration1.6 second
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%
Mean33097.45
Minimum5
Maximum65526
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-28T21:57:02.741915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile3460.8
Q116775.25
median33329.5
Q349680.75
95-th percentile62219.6
Maximum65526
Range65521
Interquartile range (IQR)32905.5

Descriptive statistics

Standard deviation18858.773
Coefficient of variation (CV)0.56979535
Kurtosis-1.2012348
Mean33097.45
Median Absolute Deviation (MAD)16421.5
Skewness-0.025193033
Sum3.309745 × 108
Variance3.5565333 × 108
MonotonicityNot monotonic
2024-01-28T21:57:02.859546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
53566 1
 
< 0.1%
24591 1
 
< 0.1%
62509 1
 
< 0.1%
64798 1
 
< 0.1%
26223 1
 
< 0.1%
53280 1
 
< 0.1%
13751 1
 
< 0.1%
27011 1
 
< 0.1%
23226 1
 
< 0.1%
46628 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
5 1
< 0.1%
12 1
< 0.1%
27 1
< 0.1%
31 1
< 0.1%
36 1
< 0.1%
45 1
< 0.1%
46 1
< 0.1%
52 1
< 0.1%
58 1
< 0.1%
78 1
< 0.1%
ValueCountFrequency (%)
65526 1
< 0.1%
65516 1
< 0.1%
65507 1
< 0.1%
65506 1
< 0.1%
65501 1
< 0.1%
65499 1
< 0.1%
65492 1
< 0.1%
65491 1
< 0.1%
65463 1
< 0.1%
65456 1
< 0.1%

전수조사등록일자
Date

Distinct120
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2013-10-09 00:00:00
Maximum2015-07-10 00:00:00
2024-01-28T21:57:02.964957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:57:03.060513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct7472
Distinct (%)74.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-28T21:57:03.308161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length6.3006
Min length1

Characters and Unicode

Total characters63006
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

Unique5653 ?
Unique (%)56.5%

Sample

1st row파리바게뜨
2nd row크린토피아
3rd row나무Coffee
4th row동네김밥
5th rowZOOM BAR
ValueCountFrequency (%)
노래연습장 59
 
0.5%
간석점 54
 
0.4%
구월점 41
 
0.3%
부동산 38
 
0.3%
공인중개사 38
 
0.3%
bar 38
 
0.3%
gs25 31
 
0.3%
김밥천국 30
 
0.2%
노래방 28
 
0.2%
만수점 22
 
0.2%
Other values (8169) 12015
96.9%
2024-01-28T21:57:03.674211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2394
 
3.8%
인 1065
 
1.7%
이 977
 
1.6%
사 922
 
1.5%
리 912
 
1.4%
스 891
 
1.4%
동 863
 
1.4%
어 762
 
1.2%
원 761
 
1.2%
장 721
 
1.1%
Other values (979) 52738
83.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 54475
86.5%
Uppercase Letter 3013
 
4.8%
Space Separator 2394
 
3.8%
Lowercase Letter 1693
 
2.7%
Decimal Number 633
 
1.0%
Close Punctuation 284
 
0.5%
Open Punctuation 283
 
0.4%
Other Punctuation 178
 
0.3%
Dash Punctuation 29
 
< 0.1%
Math Symbol 21
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 1065
 
2.0%
이 977
 
1.8%
사 922
 
1.7%
리 912
 
1.7%
스 891
 
1.6%
동 863
 
1.6%
어 762
 
1.4%
원 761
 
1.4%
장 721
 
1.3%
점 662
 
1.2%
Other values (904) 45939
84.3%
Uppercase Letter
ValueCountFrequency (%)
S 266
 
8.8%
E 250
 
8.3%
O 234
 
7.8%
A 227
 
7.5%
C 214
 
7.1%
B 161
 
5.3%
L 154
 
5.1%
T 153
 
5.1%
G 145
 
4.8%
P 137
 
4.5%
Other values (16) 1072
35.6%
Lowercase Letter
ValueCountFrequency (%)
e 233
13.8%
o 163
 
9.6%
a 120
 
7.1%
i 117
 
6.9%
r 114
 
6.7%
l 107
 
6.3%
s 95
 
5.6%
t 88
 
5.2%
c 85
 
5.0%
n 85
 
5.0%
Other values (15) 486
28.7%
Decimal Number
ValueCountFrequency (%)
2 155
24.5%
1 91
14.4%
0 90
14.2%
5 87
13.7%
4 63
10.0%
7 49
 
7.7%
8 34
 
5.4%
3 32
 
5.1%
9 21
 
3.3%
6 11
 
1.7%
Other Punctuation
ValueCountFrequency (%)
. 90
50.6%
& 72
40.4%
/ 5
 
2.8%
! 5
 
2.8%
# 4
 
2.2%
, 2
 
1.1%
Close Punctuation
ValueCountFrequency (%)
) 256
90.1%
] 28
 
9.9%
Open Punctuation
ValueCountFrequency (%)
( 255
90.1%
[ 28
 
9.9%
Space Separator
ValueCountFrequency (%)
2394
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Math Symbol
ValueCountFrequency (%)
+ 21
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 54470
86.5%
Latin 4706
 
7.5%
Common 3825
 
6.1%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 1065
 
2.0%
이 977
 
1.8%
사 922
 
1.7%
리 912
 
1.7%
스 891
 
1.6%
동 863
 
1.6%
어 762
 
1.4%
원 761
 
1.4%
장 721
 
1.3%
점 662
 
1.2%
Other values (901) 45934
84.3%
Latin
ValueCountFrequency (%)
S 266
 
5.7%
E 250
 
5.3%
O 234
 
5.0%
e 233
 
5.0%
A 227
 
4.8%
C 214
 
4.5%
o 163
 
3.5%
B 161
 
3.4%
L 154
 
3.3%
T 153
 
3.3%
Other values (41) 2651
56.3%
Common
ValueCountFrequency (%)
2394
62.6%
) 256
 
6.7%
( 255
 
6.7%
2 155
 
4.1%
1 91
 
2.4%
0 90
 
2.4%
. 90
 
2.4%
5 87
 
2.3%
& 72
 
1.9%
4 63
 
1.6%
Other values (14) 272
 
7.1%
Han
ValueCountFrequency (%)
格 2
40.0%
合 2
40.0%
辛 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 54459
86.4%
ASCII 8531
 
13.5%
Compat Jamo 11
 
< 0.1%
CJK 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2394
28.1%
S 266
 
3.1%
) 256
 
3.0%
( 255
 
3.0%
E 250
 
2.9%
O 234
 
2.7%
e 233
 
2.7%
A 227
 
2.7%
C 214
 
2.5%
o 163
 
1.9%
Other values (65) 4039
47.3%
Hangul
ValueCountFrequency (%)
인 1065
 
2.0%
이 977
 
1.8%
사 922
 
1.7%
리 912
 
1.7%
스 891
 
1.6%
동 863
 
1.6%
어 762
 
1.4%
원 761
 
1.4%
장 721
 
1.3%
점 662
 
1.2%
Other values (893) 45923
84.3%
Compat Jamo
ValueCountFrequency (%)
ㅇ 2
18.2%
ㅏ 2
18.2%
ㄷ 2
18.2%
ㄹ 1
9.1%
ㅖ 1
9.1%
ㅝ 1
9.1%
ㄴ 1
9.1%
ㅔ 1
9.1%
CJK
ValueCountFrequency (%)
格 2
40.0%
合 2
40.0%
辛 1
20.0%

소재지도로명주소
Text

Distinct3600
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-28T21:57:03.988145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length18.6706
Min length9

Characters and Unicode

Total characters186706
Distinct characters116
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

Unique1552 ?
Unique (%)15.5%

Sample

1st row인천광역시 남동구 석정로 515
2nd row인천광역시 남동구 호구포로 920
3rd row인천광역시 남동구 용천로 82
4th row인천광역시 남동구 백범로 216
5th row인천광역시 남동구 문화서로18번길 36
ValueCountFrequency (%)
인천광역시 10000
25.1%
남동구 10000
25.1%
구월로 424
 
1.1%
남동대로 393
 
1.0%
백범로 390
 
1.0%
호구포로 316
 
0.8%
구월남로 282
 
0.7%
석산로 268
 
0.7%
인주대로 263
 
0.7%
용천로 202
 
0.5%
Other values (1276) 17309
43.4%
2024-01-28T21:57:04.694129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29847
16.0%
구 11792
 
6.3%
남 11664
 
6.2%
인 11161
 
6.0%
동 11059
 
5.9%
천 10360
 
5.5%
역 10142
 
5.4%
광 10000
 
5.4%
시 10000
 
5.4%
로 9923
 
5.3%
Other values (106) 60758
32.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 123369
66.1%
Decimal Number 33490
 
17.9%
Space Separator 29847
 
16.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 11792
9.6%
남 11664
9.5%
인 11161
9.0%
동 11059
9.0%
천 10360
8.4%
역 10142
8.2%
광 10000
8.1%
시 10000
8.1%
로 9923
8.0%
번 4461
 
3.6%
Other values (95) 22807
18.5%
Decimal Number
ValueCountFrequency (%)
1 5232
15.6%
2 4231
12.6%
3 3736
11.2%
5 3509
10.5%
4 3367
10.1%
6 3150
9.4%
7 2925
8.7%
8 2775
8.3%
9 2524
7.5%
0 2041
 
6.1%
Space Separator
ValueCountFrequency (%)
29847
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 123369
66.1%
Common 63337
33.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 11792
9.6%
남 11664
9.5%
인 11161
9.0%
동 11059
9.0%
천 10360
8.4%
역 10142
8.2%
광 10000
8.1%
시 10000
8.1%
로 9923
8.0%
번 4461
 
3.6%
Other values (95) 22807
18.5%
Common
ValueCountFrequency (%)
29847
47.1%
1 5232
 
8.3%
2 4231
 
6.7%
3 3736
 
5.9%
5 3509
 
5.5%
4 3367
 
5.3%
6 3150
 
5.0%
7 2925
 
4.6%
8 2775
 
4.4%
9 2524
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 123369
66.1%
ASCII 63337
33.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29847
47.1%
1 5232
 
8.3%
2 4231
 
6.7%
3 3736
 
5.9%
5 3509
 
5.5%
4 3367
 
5.3%
6 3150
 
5.0%
7 2925
 
4.6%
8 2775
 
4.4%
9 2524
 
4.0%
Hangul
ValueCountFrequency (%)
구 11792
9.6%
남 11664
9.5%
인 11161
9.0%
동 11059
9.0%
천 10360
8.4%
역 10142
8.2%
광 10000
8.1%
시 10000
8.1%
로 9923
8.0%
번 4461
 
3.6%
Other values (95) 22807
18.5%

소재지지번주소
Text

Distinct3965
Distinct (%)39.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-28T21:57:05.033515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length19.3239
Min length16

Characters and Unicode

Total characters193239
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

Unique1863 ?
Unique (%)18.6%

Sample

1st row인천광역시 남동구 간석동 894-4
2nd row인천광역시 남동구 만수동 1114
3rd row인천광역시 남동구 구월동 1241-1
4th row인천광역시 남동구 만수동 860-4
5th row인천광역시 남동구 구월동 1374
ValueCountFrequency (%)
인천광역시 10000
25.0%
남동구 10000
25.0%
구월동 3214
 
8.0%
간석동 2781
 
7.0%
만수동 2226
 
5.6%
논현동 1021
 
2.6%
고잔동 324
 
0.8%
남촌동 253
 
0.6%
서창동 99
 
0.2%
도림동 51
 
0.1%
Other values (3881) 10031
25.1%
2024-01-28T21:57:05.495252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30000
15.5%
동 20000
 
10.3%
구 13214
 
6.8%
1 11536
 
6.0%
남 10253
 
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) 58236
30.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 110000
56.9%
Decimal Number 44608
23.1%
Space Separator 30000
 
15.5%
Dash Punctuation 8631
 
4.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 20000
18.2%
구 13214
12.0%
남 10253
9.3%
인 10000
9.1%
광 10000
9.1%
역 10000
9.1%
시 10000
9.1%
천 10000
9.1%
월 3214
 
2.9%
석 2781
 
2.5%
Other values (16) 10538
9.6%
Decimal Number
ValueCountFrequency (%)
1 11536
25.9%
2 5134
11.5%
3 4416
 
9.9%
6 3944
 
8.8%
4 3857
 
8.6%
9 3353
 
7.5%
5 3276
 
7.3%
7 3188
 
7.1%
0 3058
 
6.9%
8 2846
 
6.4%
Space Separator
ValueCountFrequency (%)
30000
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8631
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 110000
56.9%
Common 83239
43.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 20000
18.2%
구 13214
12.0%
남 10253
9.3%
인 10000
9.1%
광 10000
9.1%
역 10000
9.1%
시 10000
9.1%
천 10000
9.1%
월 3214
 
2.9%
석 2781
 
2.5%
Other values (16) 10538
9.6%
Common
ValueCountFrequency (%)
30000
36.0%
1 11536
 
13.9%
- 8631
 
10.4%
2 5134
 
6.2%
3 4416
 
5.3%
6 3944
 
4.7%
4 3857
 
4.6%
9 3353
 
4.0%
5 3276
 
3.9%
7 3188
 
3.8%
Other values (2) 5904
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 110000
56.9%
ASCII 83239
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30000
36.0%
1 11536
 
13.9%
- 8631
 
10.4%
2 5134
 
6.2%
3 4416
 
5.3%
6 3944
 
4.7%
4 3857
 
4.6%
9 3353
 
4.0%
5 3276
 
3.9%
7 3188
 
3.8%
Other values (2) 5904
 
7.1%
Hangul
ValueCountFrequency (%)
동 20000
18.2%
구 13214
12.0%
남 10253
9.3%
인 10000
9.1%
광 10000
9.1%
역 10000
9.1%
시 10000
9.1%
천 10000
9.1%
월 3214
 
2.9%
석 2781
 
2.5%
Other values (16) 10538
9.6%

광고물 종류
Categorical

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
가로형간판
4395 
돌출간판
2291 
세로형간판
1365 
창문이용광고물
994 
가로형간판_입체형
521 
Other values (4)
 
434

Length

Max length9
Median length5
Mean length5.229
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
가로형간판 4395
44.0%
돌출간판 2291
22.9%
세로형간판 1365
 
13.7%
창문이용광고물 994
 
9.9%
가로형간판_입체형 521
 
5.2%
지주이용 간판 297
 
3.0%
옥상간판 109
 
1.1%
현수막게시틀 27
 
0.3%
기타 1
 
< 0.1%

Length

2024-01-28T21:57:05.624987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:57:05.726934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가로형간판 4395
42.7%
돌출간판 2291
22.2%
세로형간판 1365
 
13.3%
창문이용광고물 994
 
9.7%
가로형간판_입체형 521
 
5.1%
지주이용 297
 
2.9%
간판 297
 
2.9%
옥상간판 109
 
1.1%
현수막게시틀 27
 
0.3%
기타 1
 
< 0.1%

수량
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
9998 
.
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 9998
> 99.9%
. 1
 
< 0.1%
2 1
 
< 0.1%

Length

2024-01-28T21:57:05.839558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:57:05.923988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 9998
> 99.9%
1
 
< 0.1%
2 1
 
< 0.1%

광고내용
Text

Distinct8240
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-28T21:57:06.165099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length33
Mean length7.3249
Min length1

Characters and Unicode

Total characters73249
Distinct characters1035
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

Unique7054 ?
Unique (%)70.5%

Sample

1st row파리바게뜨
2nd row크린토피아
3rd rowCoffee나무
4th row동네김밥
5th rowZOOM BAR[네온]
ValueCountFrequency (%)
외 211
 
1.6%
led테두리 80
 
0.6%
led전광판 55
 
0.4%
노래방 55
 
0.4%
부동산 52
 
0.4%
노래연습장 40
 
0.3%
t 36
 
0.3%
약 33
 
0.2%
bar 31
 
0.2%
공인중개사 29
 
0.2%
Other values (9179) 12773
95.4%
2024-01-28T21:57:06.548378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3395
 
4.6%
리 1302
 
1.8%
] 1144
 
1.6%
[ 1141
 
1.6%
인 1090
 
1.5%
이 957
 
1.3%
e 837
 
1.1%
동 816
 
1.1%
스 796
 
1.1%
사 784
 
1.1%
Other values (1025) 60987
83.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56268
76.8%
Uppercase Letter 4966
 
6.8%
Lowercase Letter 4046
 
5.5%
Space Separator 3395
 
4.6%
Close Punctuation 1314
 
1.8%
Open Punctuation 1309
 
1.8%
Decimal Number 1029
 
1.4%
Other Punctuation 811
 
1.1%
Dash Punctuation 58
 
0.1%
Math Symbol 41
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 1302
 
2.3%
인 1090
 
1.9%
이 957
 
1.7%
동 816
 
1.5%
스 796
 
1.4%
사 784
 
1.4%
어 760
 
1.4%
전 744
 
1.3%
원 707
 
1.3%
장 679
 
1.2%
Other values (944) 47633
84.7%
Uppercase Letter
ValueCountFrequency (%)
E 614
 
12.4%
L 487
 
9.8%
D 403
 
8.1%
S 345
 
6.9%
A 319
 
6.4%
O 309
 
6.2%
C 303
 
6.1%
T 243
 
4.9%
R 198
 
4.0%
B 196
 
3.9%
Other values (16) 1549
31.2%
Lowercase Letter
ValueCountFrequency (%)
e 837
20.7%
l 688
17.0%
d 580
14.3%
o 246
 
6.1%
a 176
 
4.3%
i 167
 
4.1%
r 163
 
4.0%
t 149
 
3.7%
s 140
 
3.5%
n 134
 
3.3%
Other values (15) 766
18.9%
Decimal Number
ValueCountFrequency (%)
2 228
22.2%
1 152
14.8%
4 132
12.8%
0 130
12.6%
5 113
11.0%
3 82
 
8.0%
7 63
 
6.1%
8 59
 
5.7%
6 37
 
3.6%
9 33
 
3.2%
Other Punctuation
ValueCountFrequency (%)
. 607
74.8%
& 102
 
12.6%
/ 43
 
5.3%
, 27
 
3.3%
: 11
 
1.4%
* 9
 
1.1%
! 6
 
0.7%
# 4
 
0.5%
% 2
 
0.2%
Math Symbol
ValueCountFrequency (%)
+ 34
82.9%
> 5
 
12.2%
= 1
 
2.4%
~ 1
 
2.4%
Close Punctuation
ValueCountFrequency (%)
] 1144
87.1%
) 170
 
12.9%
Open Punctuation
ValueCountFrequency (%)
[ 1141
87.2%
( 168
 
12.8%
Space Separator
ValueCountFrequency (%)
3395
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56262
76.8%
Latin 9012
 
12.3%
Common 7969
 
10.9%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 1302
 
2.3%
인 1090
 
1.9%
이 957
 
1.7%
동 816
 
1.5%
스 796
 
1.4%
사 784
 
1.4%
어 760
 
1.4%
전 744
 
1.3%
원 707
 
1.3%
장 679
 
1.2%
Other values (940) 47627
84.7%
Latin
ValueCountFrequency (%)
e 837
 
9.3%
l 688
 
7.6%
E 614
 
6.8%
d 580
 
6.4%
L 487
 
5.4%
D 403
 
4.5%
S 345
 
3.8%
A 319
 
3.5%
O 309
 
3.4%
C 303
 
3.4%
Other values (41) 4127
45.8%
Common
ValueCountFrequency (%)
3395
42.6%
] 1144
 
14.4%
[ 1141
 
14.3%
. 607
 
7.6%
2 228
 
2.9%
) 170
 
2.1%
( 168
 
2.1%
1 152
 
1.9%
4 132
 
1.7%
0 130
 
1.6%
Other values (20) 702
 
8.8%
Han
ValueCountFrequency (%)
格 2
33.3%
合 2
33.3%
時 1
16.7%
辛 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56257
76.8%
ASCII 16981
 
23.2%
CJK 6
 
< 0.1%
Compat Jamo 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3395
20.0%
] 1144
 
6.7%
[ 1141
 
6.7%
e 837
 
4.9%
l 688
 
4.1%
E 614
 
3.6%
. 607
 
3.6%
d 580
 
3.4%
L 487
 
2.9%
D 403
 
2.4%
Other values (71) 7085
41.7%
Hangul
ValueCountFrequency (%)
리 1302
 
2.3%
인 1090
 
1.9%
이 957
 
1.7%
동 816
 
1.5%
스 796
 
1.4%
사 784
 
1.4%
어 760
 
1.4%
전 744
 
1.3%
원 707
 
1.3%
장 679
 
1.2%
Other values (937) 47622
84.7%
Compat Jamo
ValueCountFrequency (%)
ㄷ 3
60.0%
ㅏ 1
 
20.0%
ㅇ 1
 
20.0%
CJK
ValueCountFrequency (%)
格 2
33.3%
合 2
33.3%
時 1
16.7%
辛 1
16.7%

조명 종류
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반조명
5921 
비조명
2213 
전광
1110 
네온사인
 
306
간접조명
 
243
Other values (3)
 
207

Length

Max length4
Median length4
Mean length3.5363
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반조명 5921
59.2%
비조명 2213
 
22.1%
전광 1110
 
11.1%
네온사인 306
 
3.1%
간접조명 243
 
2.4%
LED 196
 
2.0%
기타재료 7
 
0.1%
화공 4
 
< 0.1%

Length

2024-01-28T21:57:06.680651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:57:06.781035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반조명 5921
59.2%
비조명 2213
 
22.1%
전광 1110
 
11.1%
네온사인 306
 
3.1%
간접조명 243
 
2.4%
led 196
 
2.0%
기타재료 7
 
0.1%
화공 4
 
< 0.1%

업종구분
Categorical

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
기타
6041 
일반음식점
1928 
이미용업
 
568
노래방
 
385
주점(유흥,단란)
 
290
Other values (9)
788 

Length

Max length9
Median length2
Mean length3.0828
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반음식점
2nd row기타
3rd row휴게음식점
4th row일반음식점
5th row주점(유흥,단란)

Common Values

ValueCountFrequency (%)
기타 6041
60.4%
일반음식점 1928
 
19.3%
이미용업 568
 
5.7%
노래방 385
 
3.9%
주점(유흥,단란) 290
 
2.9%
유기장업 222
 
2.2%
휴게음식점 198
 
2.0%
숙박업 91
 
0.9%
부동산 72
 
0.7%
병의원 64
 
0.6%
Other values (4) 141
 
1.4%

Length

2024-01-28T21:57:06.894903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타 6041
60.4%
일반음식점 1928
 
19.3%
이미용업 568
 
5.7%
노래방 385
 
3.9%
주점(유흥,단란 290
 
2.9%
유기장업 222
 
2.2%
휴게음식점 198
 
2.0%
숙박업 91
 
0.9%
부동산 72
 
0.7%
병의원 64
 
0.6%
Other values (4) 141
 
1.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-05-17 00:00:00
Maximum2023-05-17 00:00:00
2024-01-28T21:57:06.978262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:57:07.059093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-28T21:57:02.361513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T21:57:07.126791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번광고물 종류수량조명 종류업종구분
연번1.0000.1540.0000.1170.184
광고물 종류0.1541.0000.0000.5200.160
수량0.0000.0001.0000.0000.000
조명 종류0.1170.5200.0001.0000.352
업종구분0.1840.1600.0000.3521.000
2024-01-28T21:57:07.226857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종구분조명 종류광고물 종류수량
업종구분1.0000.1630.0680.000
조명 종류0.1631.0000.2870.000
광고물 종류0.0680.2871.0000.000
수량0.0000.0000.0001.000
2024-01-28T21:57:07.329150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번광고물 종류수량조명 종류업종구분
연번1.0000.0700.0000.0560.075
광고물 종류0.0701.0000.0000.2870.068
수량0.0000.0001.0000.0000.000
조명 종류0.0560.2870.0001.0000.163
업종구분0.0750.0680.0000.1631.000

Missing values

2024-01-28T21:57:02.467804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T21:57:02.602032image/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
53565535662013-12-06파리바게뜨인천광역시 남동구 석정로 515인천광역시 남동구 간석동 894-4세로형간판1파리바게뜨비조명일반음식점2023-05-17
40135401362013-12-01크린토피아인천광역시 남동구 호구포로 920인천광역시 남동구 만수동 1114가로형간판1크린토피아일반조명기타2023-05-17
545154522013-10-16나무Coffee인천광역시 남동구 용천로 82인천광역시 남동구 구월동 1241-1가로형간판1Coffee나무일반조명휴게음식점2023-05-17
40740407412013-12-02동네김밥인천광역시 남동구 백범로 216인천광역시 남동구 만수동 860-4창문이용광고물1동네김밥비조명일반음식점2023-05-17
22127221282013-11-08ZOOM BAR인천광역시 남동구 문화서로18번길 36인천광역시 남동구 구월동 1374가로형간판1ZOOM BAR[네온]일반조명주점(유흥,단란)2023-05-17
52853528542013-12-18(주)몽땅인천광역시 남동구 구월로 364인천광역시 남동구 만수동 948-4가로형간판1몽땅 5000원일반조명기타2023-05-17
33671336722013-11-17대성공인중개사인천광역시 남동구 구월남로355번길 25인천광역시 남동구 만수동 940-18창문이용광고물1대성공인중개사비조명기타2023-05-17
60670606712014-04-26프라임예지유치원인천광역시 남동구 에코중앙로 192인천광역시 남동구 논현동 774-3세로형간판1프라임예지유치원전광기타2023-05-17
38173381742013-11-15이진치과의원인천광역시 남동구 남동대로 728인천광역시 남동구 구월동 1191-10가로형간판1이진치과의원일반조명병의원2023-05-17
12015120162013-10-23DJ정보통신인천광역시 남동구 구월로 79인천광역시 남동구 간석동 749-8세로형간판1생각대로 T 외일반조명기타2023-05-17
연번전수조사등록일자업소명소재지도로명주소소재지지번주소광고물 종류수량광고내용조명 종류업종구분데이터기준일자
910791082013-10-19수앤미인천광역시 남동구 장승남로69번길 17인천광역시 남동구 만수동 1029-7돌출간판1수앤미일반조명기타2023-05-17
39400394012013-11-24힐링헤어인천광역시 남동구 용천로168번길 4인천광역시 남동구 간석동 42-1돌출간판1힐링헤어[싸인볼]일반조명이미용업2023-05-17
47349473502013-11-29아름다운날들인천광역시 남동구 석정로 577인천광역시 남동구 간석동 612-1가로형간판1Beautiful Day일반조명기타2023-05-17
30726307272013-11-17푸른숲미술학원인천광역시 남동구 석산로 198인천광역시 남동구 간석동 142-1돌출간판1푸른숲미술학원일반조명기타2023-05-17
33737337382013-11-16돼지방인천광역시 남동구 구월말로58번길 86인천광역시 남동구 만수동 942-1창문이용광고물1돼지방비조명일반음식점2023-05-17
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