Overview

Dataset statistics

Number of variables8
Number of observations482
Missing cells331
Missing cells (%)8.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.2 KiB
Average record size in memory66.3 B

Variable types

Text4
Numeric2
Categorical1
DateTime1

Dataset

Description경기도 화성시 출판소 및 인쇄소 현황 데이터는 사업체 명칭, 사업체 소재지, 위도, 경도, 전화번호, 업종 등의 항목을 제공합니다.
Author경기도 화성시
URLhttps://www.data.go.kr/data/15090097/fileData.do

Alerts

기준일자 has constant value ""Constant
사업체소재지(도로명) has 17 (3.5%) missing valuesMissing
위도 has 43 (8.9%) missing valuesMissing
경도 has 43 (8.9%) missing valuesMissing
전화번호 has 228 (47.3%) missing valuesMissing

Reproduction

Analysis started2023-12-12 08:37:56.090113
Analysis finished2023-12-12 08:37:57.292590
Duration1.2 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업체명칭
Text

Distinct450
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2023-12-12T17:37:57.468668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length23
Mean length6.8298755
Min length1

Characters and Unicode

Total characters3292
Distinct characters457
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique419 ?
Unique (%)86.9%

Sample

1st row장안대학출판부
2nd row수원대학출판부
3rd row(주)엔젤악기
4th row수원카톨릭대학출판부
5th row협성대학교출판부
ValueCountFrequency (%)
도서출판 35
 
5.4%
주식회사 34
 
5.3%
출판사 5
 
0.8%
디자인 4
 
0.6%
위두 3
 
0.5%
미래테크 3
 
0.5%
석광고기획 2
 
0.3%
house 2
 
0.3%
디앤피 2
 
0.3%
디앤에프 2
 
0.3%
Other values (518) 554
85.8%
2023-12-12T17:37:57.862554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
165
 
5.0%
주 111
 
3.4%
사 94
 
2.9%
) 93
 
2.8%
( 91
 
2.8%
스 72
 
2.2%
인 72
 
2.2%
출 70
 
2.1%
판 70
 
2.1%
이 61
 
1.9%
Other values (447) 2393
72.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2635
80.0%
Space Separator 165
 
5.0%
Uppercase Letter 157
 
4.8%
Lowercase Letter 137
 
4.2%
Close Punctuation 93
 
2.8%
Open Punctuation 91
 
2.8%
Other Punctuation 10
 
0.3%
Decimal Number 3
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 111
 
4.2%
사 94
 
3.6%
스 72
 
2.7%
인 72
 
2.7%
출 70
 
2.7%
판 70
 
2.7%
이 61
 
2.3%
회 51
 
1.9%
디 49
 
1.9%
도 48
 
1.8%
Other values (391) 1937
73.5%
Uppercase Letter
ValueCountFrequency (%)
S 16
 
10.2%
A 13
 
8.3%
O 12
 
7.6%
M 12
 
7.6%
N 11
 
7.0%
C 10
 
6.4%
I 10
 
6.4%
E 8
 
5.1%
U 8
 
5.1%
T 8
 
5.1%
Other values (15) 49
31.2%
Lowercase Letter
ValueCountFrequency (%)
e 17
12.4%
o 16
11.7%
n 12
 
8.8%
a 12
 
8.8%
t 10
 
7.3%
r 9
 
6.6%
l 8
 
5.8%
g 7
 
5.1%
i 7
 
5.1%
u 7
 
5.1%
Other values (11) 32
23.4%
Other Punctuation
ValueCountFrequency (%)
. 6
60.0%
& 2
 
20.0%
＆ 2
 
20.0%
Decimal Number
ValueCountFrequency (%)
0 1
33.3%
6 1
33.3%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
165
100.0%
Close Punctuation
ValueCountFrequency (%)
) 93
100.0%
Open Punctuation
ValueCountFrequency (%)
( 91
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2627
79.8%
Common 363
 
11.0%
Latin 294
 
8.9%
Han 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 111
 
4.2%
사 94
 
3.6%
스 72
 
2.7%
인 72
 
2.7%
출 70
 
2.7%
판 70
 
2.7%
이 61
 
2.3%
회 51
 
1.9%
디 49
 
1.9%
도 48
 
1.8%
Other values (386) 1929
73.4%
Latin
ValueCountFrequency (%)
e 17
 
5.8%
S 16
 
5.4%
o 16
 
5.4%
A 13
 
4.4%
O 12
 
4.1%
M 12
 
4.1%
n 12
 
4.1%
a 12
 
4.1%
N 11
 
3.7%
C 10
 
3.4%
Other values (36) 163
55.4%
Common
ValueCountFrequency (%)
165
45.5%
) 93
25.6%
( 91
25.1%
. 6
 
1.7%
& 2
 
0.6%
＆ 2
 
0.6%
0 1
 
0.3%
℃ 1
 
0.3%
6 1
 
0.3%
1 1
 
0.3%
Han
ValueCountFrequency (%)
華 2
25.0%
苑 2
25.0%
唐 2
25.0%
恩 1
12.5%
座 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2627
79.8%
ASCII 654
 
19.9%
CJK 8
 
0.2%
None 2
 
0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
165
25.2%
) 93
14.2%
( 91
13.9%
e 17
 
2.6%
S 16
 
2.4%
o 16
 
2.4%
A 13
 
2.0%
O 12
 
1.8%
M 12
 
1.8%
n 12
 
1.8%
Other values (44) 207
31.7%
Hangul
ValueCountFrequency (%)
주 111
 
4.2%
사 94
 
3.6%
스 72
 
2.7%
인 72
 
2.7%
출 70
 
2.7%
판 70
 
2.7%
이 61
 
2.3%
회 51
 
1.9%
디 49
 
1.9%
도 48
 
1.8%
Other values (386) 1929
73.4%
CJK
ValueCountFrequency (%)
華 2
25.0%
苑 2
25.0%
唐 2
25.0%
恩 1
12.5%
座 1
12.5%
None
ValueCountFrequency (%)
＆ 2
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

사업체소재지(도로명)
Text

MISSING 

Distinct429
Distinct (%)92.3%
Missing17
Missing (%)3.5%
Memory size3.9 KiB
2023-12-12T17:37:58.116455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length49
Mean length33.705376
Min length18

Characters and Unicode

Total characters15673
Distinct characters326
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique394 ?
Unique (%)84.7%

Sample

1st row경기도 화성시 봉담읍 삼천병마로 1182
2nd row경기도 화성시 작현길 46 (송산동)
3rd row경기도 화성시 봉담읍 왕림1길 67
4th row경기도 화성시 봉담읍 최루백로 72
5th row경기도 화성시 봉담읍 와우로34번길 90-10
ValueCountFrequency (%)
경기도 465
 
15.0%
화성시 464
 
15.0%
영천동 51
 
1.6%
봉담읍 50
 
1.6%
반송동 49
 
1.6%
병점동 27
 
0.9%
향남읍 25
 
0.8%
능동 25
 
0.8%
팔탄면 21
 
0.7%
남양읍 18
 
0.6%
Other values (1019) 1908
61.5%
2023-12-12T17:37:58.510625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2676
 
17.1%
동 699
 
4.5%
1 689
 
4.4%
시 517
 
3.3%
2 508
 
3.2%
기 507
 
3.2%
도 501
 
3.2%
성 500
 
3.2%
화 491
 
3.1%
0 481
 
3.1%
Other values (316) 8104
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8599
54.9%
Decimal Number 3112
 
19.9%
Space Separator 2676
 
17.1%
Other Punctuation 421
 
2.7%
Open Punctuation 319
 
2.0%
Close Punctuation 319
 
2.0%
Dash Punctuation 156
 
1.0%
Uppercase Letter 62
 
0.4%
Lowercase Letter 8
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 699
 
8.1%
시 517
 
6.0%
기 507
 
5.9%
도 501
 
5.8%
성 500
 
5.8%
화 491
 
5.7%
경 474
 
5.5%
로 351
 
4.1%
호 261
 
3.0%
길 256
 
3.0%
Other values (279) 4042
47.0%
Uppercase Letter
ValueCountFrequency (%)
A 11
17.7%
L 9
14.5%
B 8
12.9%
H 7
11.3%
C 4
 
6.5%
S 4
 
6.5%
G 3
 
4.8%
I 3
 
4.8%
T 3
 
4.8%
E 3
 
4.8%
Other values (6) 7
11.3%
Decimal Number
ValueCountFrequency (%)
1 689
22.1%
2 508
16.3%
0 481
15.5%
3 283
9.1%
5 233
 
7.5%
6 227
 
7.3%
4 218
 
7.0%
7 185
 
5.9%
9 149
 
4.8%
8 139
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
c 3
37.5%
e 3
37.5%
t 1
 
12.5%
h 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 413
98.1%
. 8
 
1.9%
Space Separator
ValueCountFrequency (%)
2676
100.0%
Open Punctuation
ValueCountFrequency (%)
( 319
100.0%
Close Punctuation
ValueCountFrequency (%)
) 319
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 156
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8599
54.9%
Common 7003
44.7%
Latin 71
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 699
 
8.1%
시 517
 
6.0%
기 507
 
5.9%
도 501
 
5.8%
성 500
 
5.8%
화 491
 
5.7%
경 474
 
5.5%
로 351
 
4.1%
호 261
 
3.0%
길 256
 
3.0%
Other values (279) 4042
47.0%
Latin
ValueCountFrequency (%)
A 11
15.5%
L 9
12.7%
B 8
11.3%
H 7
9.9%
C 4
 
5.6%
S 4
 
5.6%
c 3
 
4.2%
G 3
 
4.2%
I 3
 
4.2%
T 3
 
4.2%
Other values (11) 16
22.5%
Common
ValueCountFrequency (%)
2676
38.2%
1 689
 
9.8%
2 508
 
7.3%
0 481
 
6.9%
, 413
 
5.9%
( 319
 
4.6%
) 319
 
4.6%
3 283
 
4.0%
5 233
 
3.3%
6 227
 
3.2%
Other values (6) 855
 
12.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8599
54.9%
ASCII 7073
45.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2676
37.8%
1 689
 
9.7%
2 508
 
7.2%
0 481
 
6.8%
, 413
 
5.8%
( 319
 
4.5%
) 319
 
4.5%
3 283
 
4.0%
5 233
 
3.3%
6 227
 
3.2%
Other values (26) 925
 
13.1%
Hangul
ValueCountFrequency (%)
동 699
 
8.1%
시 517
 
6.0%
기 507
 
5.9%
도 501
 
5.8%
성 500
 
5.8%
화 491
 
5.7%
경 474
 
5.5%
로 351
 
4.1%
호 261
 
3.0%
길 256
 
3.0%
Other values (279) 4042
47.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

사업체소재지(지번)
Text

Distinct423
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2023-12-12T17:37:58.742877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41
Mean length24.707469
Min length12

Characters and Unicode

Total characters11909
Distinct characters297
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique379 ?
Unique (%)78.6%

Sample

1st row경기도 화성시 봉담읍 상리 460
2nd row경기도 화성시 봉담읍 와우리 22
3rd row경기도 화성시 송산동 135-139
4th row경기도 화성시 봉담읍 왕림리 226
5th row경기도 화성시 봉담읍 상리 14
ValueCountFrequency (%)
경기도 482
 
18.6%
화성시 481
 
18.5%
반송동 54
 
2.1%
봉담읍 54
 
2.1%
영천동 51
 
2.0%
병점동 30
 
1.2%
능동 27
 
1.0%
남양읍 26
 
1.0%
향남읍 26
 
1.0%
팔탄면 21
 
0.8%
Other values (796) 1341
51.7%
2023-12-12T17:37:59.186917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2514
21.1%
시 516
 
4.3%
도 515
 
4.3%
1 510
 
4.3%
화 502
 
4.2%
기 498
 
4.2%
성 497
 
4.2%
경 484
 
4.1%
동 415
 
3.5%
- 320
 
2.7%
Other values (287) 5138
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6610
55.5%
Space Separator 2514
 
21.1%
Decimal Number 2397
 
20.1%
Dash Punctuation 320
 
2.7%
Uppercase Letter 47
 
0.4%
Other Punctuation 11
 
0.1%
Lowercase Letter 5
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 516
 
7.8%
도 515
 
7.8%
화 502
 
7.6%
기 498
 
7.5%
성 497
 
7.5%
경 484
 
7.3%
동 415
 
6.3%
리 208
 
3.1%
읍 118
 
1.8%
호 97
 
1.5%
Other values (251) 2760
41.8%
Uppercase Letter
ValueCountFrequency (%)
L 8
17.0%
A 7
14.9%
B 7
14.9%
H 6
12.8%
E 3
 
6.4%
I 3
 
6.4%
T 3
 
6.4%
C 2
 
4.3%
S 2
 
4.3%
K 1
 
2.1%
Other values (5) 5
10.6%
Decimal Number
ValueCountFrequency (%)
1 510
21.3%
2 310
12.9%
0 269
11.2%
3 217
9.1%
6 216
9.0%
5 209
8.7%
8 193
 
8.1%
4 190
 
7.9%
7 154
 
6.4%
9 129
 
5.4%
Other Punctuation
ValueCountFrequency (%)
. 5
45.5%
@ 4
36.4%
, 2
 
18.2%
Lowercase Letter
ValueCountFrequency (%)
e 3
60.0%
h 1
 
20.0%
t 1
 
20.0%
Space Separator
ValueCountFrequency (%)
2514
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 320
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6610
55.5%
Common 5246
44.1%
Latin 53
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 516
 
7.8%
도 515
 
7.8%
화 502
 
7.6%
기 498
 
7.5%
성 497
 
7.5%
경 484
 
7.3%
동 415
 
6.3%
리 208
 
3.1%
읍 118
 
1.8%
호 97
 
1.5%
Other values (251) 2760
41.8%
Latin
ValueCountFrequency (%)
L 8
15.1%
A 7
13.2%
B 7
13.2%
H 6
11.3%
E 3
 
5.7%
e 3
 
5.7%
I 3
 
5.7%
T 3
 
5.7%
C 2
 
3.8%
S 2
 
3.8%
Other values (9) 9
17.0%
Common
ValueCountFrequency (%)
2514
47.9%
1 510
 
9.7%
- 320
 
6.1%
2 310
 
5.9%
0 269
 
5.1%
3 217
 
4.1%
6 216
 
4.1%
5 209
 
4.0%
8 193
 
3.7%
4 190
 
3.6%
Other values (7) 298
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6610
55.5%
ASCII 5298
44.5%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2514
47.5%
1 510
 
9.6%
- 320
 
6.0%
2 310
 
5.9%
0 269
 
5.1%
3 217
 
4.1%
6 216
 
4.1%
5 209
 
3.9%
8 193
 
3.6%
4 190
 
3.6%
Other values (25) 350
 
6.6%
Hangul
ValueCountFrequency (%)
시 516
 
7.8%
도 515
 
7.8%
화 502
 
7.6%
기 498
 
7.5%
성 497
 
7.5%
경 484
 
7.3%
동 415
 
6.3%
리 208
 
3.1%
읍 118
 
1.8%
호 97
 
1.5%
Other values (251) 2760
41.8%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

위도
Real number (ℝ)

MISSING 

Distinct361
Distinct (%)82.2%
Missing43
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean37.192381
Minimum37.052226
Maximum37.375179
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2023-12-12T17:37:59.325199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.052226
5-th percentile37.108572
Q137.187191
median37.205782
Q337.212905
95-th percentile37.23208
Maximum37.375179
Range0.32295308
Interquartile range (IQR)0.025714469

Descriptive statistics

Standard deviation0.039350885
Coefficient of variation (CV)0.0010580362
Kurtosis3.1471703
Mean37.192381
Median Absolute Deviation (MAD)0.0091395211
Skewness-1.35212
Sum16327.455
Variance0.0015484922
MonotonicityNot monotonic
2023-12-12T17:37:59.481239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.2069095625 7
 
1.5%
37.213932719 5
 
1.0%
37.207913038 5
 
1.0%
37.2107702011 4
 
0.8%
37.2087152359 3
 
0.6%
37.2150969 3
 
0.6%
37.2058972435 3
 
0.6%
37.2128321413 3
 
0.6%
37.2142131351 3
 
0.6%
37.2149218148 3
 
0.6%
Other values (351) 400
83.0%
(Missing) 43
 
8.9%
ValueCountFrequency (%)
37.0522263952 1
0.2%
37.0595879088 1
0.2%
37.0624229865 1
0.2%
37.0629918722 1
0.2%
37.0636430009 1
0.2%
37.0675150535 1
0.2%
37.0701158049 1
0.2%
37.0712880764 1
0.2%
37.0722585537 1
0.2%
37.0731783684 1
0.2%
ValueCountFrequency (%)
37.3751794783 1
0.2%
37.2841419915 1
0.2%
37.2502743236 1
0.2%
37.2485745931 1
0.2%
37.2469118115 1
0.2%
37.2441523132 1
0.2%
37.241704359 1
0.2%
37.2411598826 1
0.2%
37.2386390703 1
0.2%
37.2365864503 1
0.2%

경도
Real number (ℝ)

MISSING 

Distinct361
Distinct (%)82.2%
Missing43
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean126.9902
Minimum126.61955
Maximum127.12699
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2023-12-12T17:37:59.640070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.61955
5-th percentile126.79247
Q1126.9259
median127.03549
Q3127.0723
95-th percentile127.10637
Maximum127.12699
Range0.50744526
Interquartile range (IQR)0.14640645

Descriptive statistics

Standard deviation0.10509898
Coefficient of variation (CV)0.00082761491
Kurtosis0.047997624
Mean126.9902
Median Absolute Deviation (MAD)0.062233922
Skewness-0.92520273
Sum55748.698
Variance0.011045796
MonotonicityNot monotonic
2023-12-12T17:37:59.809412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0353563258 7
 
1.5%
127.0919702799 5
 
1.0%
127.0977389498 5
 
1.0%
127.1003159028 4
 
0.8%
127.0977234219 3
 
0.6%
127.0949958361 3
 
0.6%
127.072945795 3
 
0.6%
127.0943429888 3
 
0.6%
127.0428740955 3
 
0.6%
127.0443237377 3
 
0.6%
Other values (351) 400
83.0%
(Missing) 43
 
8.9%
ValueCountFrequency (%)
126.6195471208 1
0.2%
126.6640248528 1
0.2%
126.6879658838 2
0.4%
126.6983993534 2
0.4%
126.700659394 1
0.2%
126.7323448133 1
0.2%
126.7347635466 1
0.2%
126.7366643108 1
0.2%
126.7622563641 1
0.2%
126.7676721051 1
0.2%
ValueCountFrequency (%)
127.1269923816 2
0.4%
127.1257141328 1
0.2%
127.1256547992 1
0.2%
127.1221381277 1
0.2%
127.121746993 1
0.2%
127.1185698822 1
0.2%
127.1182958503 1
0.2%
127.1163888081 1
0.2%
127.1157116595 1
0.2%
127.1156375648 1
0.2%

전화번호
Text

MISSING 

Distinct232
Distinct (%)91.3%
Missing228
Missing (%)47.3%
Memory size3.9 KiB
2023-12-12T17:38:00.262156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.547244
Min length7

Characters and Unicode

Total characters2933
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

Unique210 ?
Unique (%)82.7%

Sample

1st row299-3365
2nd row031-232-2101
3rd row031-234-1004
4th row031-290-8822
5th row031-299-0900
ValueCountFrequency (%)
070-7520-0290 2
 
0.8%
031-234-1245 2
 
0.8%
031-375-1327 2
 
0.8%
031-256-3614 2
 
0.8%
031-224-8191 2
 
0.8%
031-227-3508 2
 
0.8%
031-421-8112 2
 
0.8%
031-355-9210 2
 
0.8%
031-227-7712 2
 
0.8%
031-217-1413 2
 
0.8%
Other values (222) 234
92.1%
2023-12-12T17:38:00.807213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 449
15.3%
- 433
14.8%
3 419
14.3%
1 397
13.5%
2 276
9.4%
5 223
7.6%
8 182
6.2%
7 161
 
5.5%
4 147
 
5.0%
9 124
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2500
85.2%
Dash Punctuation 433
 
14.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 449
18.0%
3 419
16.8%
1 397
15.9%
2 276
11.0%
5 223
8.9%
8 182
7.3%
7 161
 
6.4%
4 147
 
5.9%
9 124
 
5.0%
6 122
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 433
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2933
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 449
15.3%
- 433
14.8%
3 419
14.3%
1 397
13.5%
2 276
9.4%
5 223
7.6%
8 182
6.2%
7 161
 
5.5%
4 147
 
5.0%
9 124
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2933
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 449
15.3%
- 433
14.8%
3 419
14.3%
1 397
13.5%
2 276
9.4%
5 223
7.6%
8 182
6.2%
7 161
 
5.5%
4 147
 
5.0%
9 124
 
4.2%

업종
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
출판사
353 
인쇄사
129 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판사 353
73.2%
인쇄사 129
 
26.8%

Length

2023-12-12T17:38:01.008901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:38:01.120810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판사 353
73.2%
인쇄사 129
 
26.8%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
Minimum2021-08-24 00:00:00
Maximum2021-08-24 00:00:00
2023-12-12T17:38:01.218984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:01.326656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T17:37:56.833961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:37:56.673496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:37:56.908346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:37:56.757301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:38:01.413419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도업종
위도1.0000.5510.098
경도0.5511.0000.318
업종0.0980.3181.000
2023-12-12T17:38:01.523235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도업종
위도1.0000.2350.097
경도0.2351.0000.242
업종0.0970.2421.000

Missing values

2023-12-12T17:37:57.012104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:37:57.139338image/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.
2023-12-12T17:37:57.236559image/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

사업체명칭사업체소재지(도로명)사업체소재지(지번)위도경도전화번호업종기준일자
0장안대학출판부경기도 화성시 봉담읍 삼천병마로 1182경기도 화성시 봉담읍 상리 46037.214265126.947243299-3365출판사2021-08-24
1수원대학출판부<NA>경기도 화성시 봉담읍 와우리 22<NA><NA>031-232-2101출판사2021-08-24
2(주)엔젤악기경기도 화성시 작현길 46 (송산동)경기도 화성시 송산동 135-13937.210476127.016626031-234-1004출판사2021-08-24
3수원카톨릭대학출판부경기도 화성시 봉담읍 왕림1길 67경기도 화성시 봉담읍 왕림리 22637.19581126.933191031-290-8822출판사2021-08-24
4협성대학교출판부경기도 화성시 봉담읍 최루백로 72경기도 화성시 봉담읍 상리 1437.213249126.95363031-299-0900출판사2021-08-24
5화인인쇄시스템<NA>경기도 화성시 반월동 57-1<NA><NA><NA>출판사2021-08-24
6상월선원수월사경기도 화성시 봉담읍 와우로34번길 90-10경기도 화성시 봉담읍 와우리 8-1337.212646126.975735<NA>출판사2021-08-24
7야마기시즘생활경향실현지영농조합법인<NA>경기도 화성시 향남읍 구문천리 산 141-1<NA><NA><NA>출판사2021-08-24
8태일기업경기도 화성시 팔탄면 버들로1318번길 5경기도 화성시 팔탄면 서근리 170-437.127177126.852289<NA>출판사2021-08-24
9총회 세계선교회경기도 화성시 팔탄면 월문길 11-10경기도 화성시 팔탄면 월문리 110-137.121283126.869202<NA>출판사2021-08-24
사업체명칭사업체소재지(도로명)사업체소재지(지번)위도경도전화번호업종기준일자
472디자인달경기도 화성시 동탄대로21길 10, 8층 9호 (영천동)경기도 화성시 영천동 652-537.207913127.097739070-7520-0290인쇄사2021-08-24
473에디슨공작소 광고기획경기도 화성시 남양읍 현대기아로 292, 화공프라자 101-1호경기도 화성시 남양읍 무송리 55237.176477126.844411031-356-6713인쇄사2021-08-24
474미닝경기도 화성시 봉담읍 참샘길 26, 2동 302호 (시라맨숀)경기도 화성시 봉담읍 와우리 70-4 시라맨숀37.214593126.975721<NA>인쇄사2021-08-24
475디자인도르프경기도 화성시 동탄대로21길 10, 507호 (영천동)경기도 화성시 영천동 652-537.207913127.097739031-8043-0315인쇄사2021-08-24
476칼라모션경기도 화성시 동탄대로 646-2, A동 805호 (영천동)경기도 화성시 영천동 산 24-137.21077127.100316031-254-5037인쇄사2021-08-24
477(주)디앤디메이트경기도 화성시 동탄기흥로 602, 4층 404A17호 (영천동)경기도 화성시 영천동 151-137.21406127.094866<NA>인쇄사2021-08-24
478주식회사 에스티경기도 화성시 팔탄면 현대기아로 25-21, 3층경기도 화성시 팔탄면 노하리 621-4737.15754126.846241031-352-2851인쇄사2021-08-24
479(주)유니온에프앤에프경기도 화성시 봉담읍 최루백로 216경기도 화성시 봉담읍 분천리 96-1637.205358126.962544031-296-3690인쇄사2021-08-24
480주식회사 엘에스피경기도 화성시 봉담읍 마당바위로 229, 1층경기도 화성시 봉담읍 덕우리 22337.163845126.919892031-298-9253인쇄사2021-08-24
481(주)지엠케이경기도 화성시 우정읍 한말길 14경기도 화성시 우정읍 화산리 39-1237.067515126.801829031-351-9990인쇄사2021-08-24