Overview

Dataset statistics

Number of variables22
Number of observations768
Missing cells68
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory137.4 KiB
Average record size in memory183.2 B

Variable types

Categorical9
Text6
Numeric6
Boolean1

Dataset

Description특수 의료장비 현황(CTㆍMRI)
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=A55P4309R32VYAR756X32025096&infSeq=1

Alerts

폐업일자 is highly imbalanced (97.8%)Imbalance
장치용도명 is highly imbalanced (87.0%)Imbalance
장치형식내용 has 48 (6.2%) missing valuesMissing
제조년월일 is highly skewed (γ1 = -25.43436435)Skewed

Reproduction

Analysis started2023-12-10 21:23:29.902008
Analysis finished2023-12-10 21:23:30.616739
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct30
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
수원시
91 
성남시
70 
안산시
64 
부천시
57 
안양시
50 
Other values (25)
436 

Length

Max length4
Median length3
Mean length3.0989583
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수원시 91
 
11.8%
성남시 70
 
9.1%
안산시 64
 
8.3%
부천시 57
 
7.4%
안양시 50
 
6.5%
고양시 49
 
6.4%
남양주시 41
 
5.3%
용인시 32
 
4.2%
의정부시 30
 
3.9%
구리시 28
 
3.6%
Other values (20) 256
33.3%

Length

2023-12-11T06:23:30.675946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 91
 
11.8%
성남시 70
 
9.1%
안산시 64
 
8.3%
부천시 57
 
7.4%
안양시 50
 
6.5%
고양시 49
 
6.4%
남양주시 41
 
5.3%
용인시 32
 
4.2%
의정부시 30
 
3.9%
구리시 28
 
3.6%
Other values (20) 256
33.3%

사업장명
Text

Distinct374
Distinct (%)48.7%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2023-12-11T06:23:30.837457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length7.0546875
Min length3

Characters and Unicode

Total characters5418
Distinct characters252
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique177 ?
Unique (%)23.0%

Sample

1st row국군청평병원
2nd row국군청평병원
3rd row든든한병원
4th row척사랑병원
5th row원당연세병원
ValueCountFrequency (%)
아주대학교병원 12
 
1.5%
현대병원 8
 
1.0%
예손병원 7
 
0.9%
현대영상의학과의원 7
 
0.9%
안산21세기병원 7
 
0.9%
분당서울대학교병원 7
 
0.9%
중앙영상의학과의원 6
 
0.7%
바른병원 6
 
0.7%
한림대학교성심병원 6
 
0.7%
부천중앙병원 6
 
0.7%
Other values (383) 732
91.0%
2023-12-11T06:23:31.132549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 813
 
15.0%
병 524
 
9.7%
의 394
 
7.3%
과 212
 
3.9%
학 126
 
2.3%
성 90
 
1.7%
영 88
 
1.6%
상 83
 
1.5%
대 78
 
1.4%
외 78
 
1.4%
Other values (242) 2932
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5312
98.0%
Decimal Number 46
 
0.8%
Space Separator 37
 
0.7%
Uppercase Letter 13
 
0.2%
Open Punctuation 5
 
0.1%
Close Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 813
 
15.3%
병 524
 
9.9%
의 394
 
7.4%
과 212
 
4.0%
학 126
 
2.4%
성 90
 
1.7%
영 88
 
1.7%
상 83
 
1.6%
대 78
 
1.5%
외 78
 
1.5%
Other values (233) 2826
53.2%
Uppercase Letter
ValueCountFrequency (%)
S 6
46.2%
D 3
23.1%
N 2
 
15.4%
B 2
 
15.4%
Decimal Number
ValueCountFrequency (%)
2 23
50.0%
1 23
50.0%
Space Separator
ValueCountFrequency (%)
37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5312
98.0%
Common 93
 
1.7%
Latin 13
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 813
 
15.3%
병 524
 
9.9%
의 394
 
7.4%
과 212
 
4.0%
학 126
 
2.4%
성 90
 
1.7%
영 88
 
1.7%
상 83
 
1.6%
대 78
 
1.5%
외 78
 
1.5%
Other values (233) 2826
53.2%
Common
ValueCountFrequency (%)
37
39.8%
2 23
24.7%
1 23
24.7%
( 5
 
5.4%
) 5
 
5.4%
Latin
ValueCountFrequency (%)
S 6
46.2%
D 3
23.1%
N 2
 
15.4%
B 2
 
15.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5312
98.0%
ASCII 106
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 813
 
15.3%
병 524
 
9.9%
의 394
 
7.4%
과 212
 
4.0%
학 126
 
2.4%
성 90
 
1.7%
영 88
 
1.7%
상 83
 
1.6%
대 78
 
1.5%
외 78
 
1.5%
Other values (233) 2826
53.2%
ASCII
ValueCountFrequency (%)
37
34.9%
2 23
21.7%
1 23
21.7%
S 6
 
5.7%
( 5
 
4.7%
) 5
 
4.7%
D 3
 
2.8%
N 2
 
1.9%
B 2
 
1.9%

인허가일자
Real number (ℝ)

Distinct626
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20100909
Minimum19971107
Maximum20180830
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T06:23:31.271434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19971107
5-th percentile20030324
Q120070308
median20101115
Q320140321
95-th percentile20170821
Maximum20180830
Range209723
Interquartile range (IQR)70013.25

Descriptive statistics

Standard deviation46169.875
Coefficient of variation (CV)0.0022969048
Kurtosis-0.97035359
Mean20100909
Median Absolute Deviation (MAD)39006
Skewness-0.13340618
Sum1.5437498 × 1010
Variance2.1316574 × 109
MonotonicityNot monotonic
2023-12-11T06:23:31.402382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030324 6
 
0.8%
20030114 6
 
0.8%
20030419 6
 
0.8%
20030306 4
 
0.5%
20120730 4
 
0.5%
20030417 3
 
0.4%
20080310 3
 
0.4%
20160510 3
 
0.4%
20120801 3
 
0.4%
20030403 3
 
0.4%
Other values (616) 727
94.7%
ValueCountFrequency (%)
19971107 1
0.1%
19980212 1
0.1%
19980921 1
0.1%
19991028 1
0.1%
20010327 1
0.1%
20010428 1
0.1%
20011206 1
0.1%
20020601 1
0.1%
20020718 1
0.1%
20021231 1
0.1%
ValueCountFrequency (%)
20180830 1
0.1%
20180726 1
0.1%
20180725 2
0.3%
20180627 1
0.1%
20180619 1
0.1%
20180612 1
0.1%
20180525 1
0.1%
20180519 1
0.1%
20180517 1
0.1%
20180423 1
0.1%

영업상태명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
폐업 등
496 
운영중
272 

Length

Max length4
Median length4
Mean length3.6458333
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row운영중
2nd row폐업 등
3rd row운영중
4th row운영중
5th row운영중

Common Values

ValueCountFrequency (%)
폐업 등 496
64.6%
운영중 272
35.4%

Length

2023-12-11T06:23:31.502120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:23:31.580950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 496
39.2%
등 496
39.2%
운영중 272
21.5%

폐업일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
765 
20150102
 
1
20161025
 
1
20170103
 
1

Length

Max length8
Median length4
Mean length4.015625
Min length4

Unique

Unique3 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 765
99.6%
20150102 1
 
0.1%
20161025 1
 
0.1%
20170103 1
 
0.1%

Length

2023-12-11T06:23:31.671145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:23:31.763478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 765
99.6%
20150102 1
 
0.1%
20161025 1
 
0.1%
20170103 1
 
0.1%

공동이용여부
Boolean

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size900.0 B
True
558 
False
210 
ValueCountFrequency (%)
True 558
72.7%
False 210
 
27.3%
2023-12-11T06:23:31.859280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

사용구분명
Categorical

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
사용중
403 
양도양수
162 
폐기
141 
사용중지
56 
이전
 
4

Length

Max length4
Median length3
Mean length3.0924479
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사용중
2nd row양도양수
3rd row사용중
4th row사용중
5th row사용중

Common Values

ValueCountFrequency (%)
사용중 403
52.5%
양도양수 162
21.1%
폐기 141
 
18.4%
사용중지 56
 
7.3%
이전 4
 
0.5%
기타 2
 
0.3%

Length

2023-12-11T06:23:31.947786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:23:32.041158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중 403
52.5%
양도양수 162
21.1%
폐기 141
 
18.4%
사용중지 56
 
7.3%
이전 4
 
0.5%
기타 2
 
0.3%

신고일자
Real number (ℝ)

Distinct626
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20100909
Minimum19971107
Maximum20180830
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T06:23:32.140619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19971107
5-th percentile20030324
Q120070308
median20101115
Q320140321
95-th percentile20170821
Maximum20180830
Range209723
Interquartile range (IQR)70013.25

Descriptive statistics

Standard deviation46169.875
Coefficient of variation (CV)0.0022969048
Kurtosis-0.97035359
Mean20100909
Median Absolute Deviation (MAD)39006
Skewness-0.13340618
Sum1.5437498 × 1010
Variance2.1316574 × 109
MonotonicityNot monotonic
2023-12-11T06:23:32.247186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030324 6
 
0.8%
20030114 6
 
0.8%
20030419 6
 
0.8%
20030306 4
 
0.5%
20120730 4
 
0.5%
20030417 3
 
0.4%
20080310 3
 
0.4%
20160510 3
 
0.4%
20120801 3
 
0.4%
20030403 3
 
0.4%
Other values (616) 727
94.7%
ValueCountFrequency (%)
19971107 1
0.1%
19980212 1
0.1%
19980921 1
0.1%
19991028 1
0.1%
20010327 1
0.1%
20010428 1
0.1%
20011206 1
0.1%
20020601 1
0.1%
20020718 1
0.1%
20021231 1
0.1%
ValueCountFrequency (%)
20180830 1
0.1%
20180726 1
0.1%
20180725 2
0.3%
20180627 1
0.1%
20180619 1
0.1%
20180612 1
0.1%
20180525 1
0.1%
20180519 1
0.1%
20180517 1
0.1%
20180423 1
0.1%

의료장비종류명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
CT
485 
MRI
283 

Length

Max length3
Median length2
Mean length2.3684896
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
CT 485
63.2%
MRI 283
36.8%

Length

2023-12-11T06:23:32.345684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:23:32.421515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ct 485
63.2%
mri 283
36.8%

장치명칭
Categorical

Distinct7
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
전산화단층촬영장치(CT)
292 
자기공명영상촬영장치(MRI)
213 
전산화단층촬영장치
191 
자기공명영상촬영장치
69 
전산화단층촬영용장치
 
1
Other values (2)
 
2

Length

Max length15
Median length13
Mean length12.276042
Min length8

Unique

Unique3 ?
Unique (%)0.4%

Sample

1st row전산화단층촬영장치
2nd row전산화단층촬영장치
3rd row전산화단층촬영장치(CT)
4th row전산화단층촬영장치(CT)
5th row전산화단층촬영장치(CT)

Common Values

ValueCountFrequency (%)
전산화단층촬영장치(CT) 292
38.0%
자기공명영상촬영장치(MRI) 213
27.7%
전산화단층촬영장치 191
24.9%
자기공명영상촬영장치 69
 
9.0%
전산화단층촬영용장치 1
 
0.1%
자기공명영상촬영촬영 1
 
0.1%
용인방사선과의원 1
 
0.1%

Length

2023-12-11T06:23:32.512080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:23:32.609677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전산화단층촬영장치(ct 292
38.0%
자기공명영상촬영장치(mri 213
27.7%
전산화단층촬영장치 191
24.9%
자기공명영상촬영장치 69
 
9.0%
전산화단층촬영용장치 1
 
0.1%
자기공명영상촬영촬영 1
 
0.1%
용인방사선과의원 1
 
0.1%

장치모델명
Text

Distinct342
Distinct (%)44.5%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2023-12-11T06:23:32.884851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length48
Mean length16.346354
Min length3

Characters and Unicode

Total characters12554
Distinct characters72
Distinct categories12 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique206 ?
Unique (%)26.8%

Sample

1st rowBRILLIANCE TM CT 64Slice
2nd rowMX8000
3rd rowTOSHIBA SCANNER Alexion MODEL TSX-032A
4th rowSOMATOM Scope
5th rowCT/e
ValueCountFrequency (%)
somatom 90
 
4.9%
1.5t 72
 
3.9%
magnetom 71
 
3.9%
signa 63
 
3.4%
ct 59
 
3.2%
system 47
 
2.6%
scanner 41
 
2.2%
tsx-021b 41
 
2.2%
essenza 39
 
2.1%
model 32
 
1.8%
Other values (328) 1273
69.6%
2023-12-11T06:23:33.324176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1061
 
8.5%
T 697
 
5.6%
S 619
 
4.9%
e 596
 
4.7%
i 584
 
4.7%
0 505
 
4.0%
n 445
 
3.5%
M 437
 
3.5%
A 400
 
3.2%
t 390
 
3.1%
Other values (62) 6820
54.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 4901
39.0%
Lowercase Letter 4699
37.4%
Decimal Number 1340
 
10.7%
Space Separator 1061
 
8.5%
Dash Punctuation 326
 
2.6%
Other Punctuation 171
 
1.4%
Close Punctuation 17
 
0.1%
Open Punctuation 17
 
0.1%
Other Symbol 11
 
0.1%
Letter Number 9
 
0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T 697
14.2%
S 619
12.6%
M 437
8.9%
A 400
 
8.2%
E 383
 
7.8%
C 340
 
6.9%
O 337
 
6.9%
I 236
 
4.8%
R 217
 
4.4%
N 205
 
4.2%
Other values (15) 1030
21.0%
Lowercase Letter
ValueCountFrequency (%)
e 596
12.7%
i 584
12.4%
n 445
9.5%
t 390
 
8.3%
o 383
 
8.2%
a 376
 
8.0%
s 303
 
6.4%
m 212
 
4.5%
c 190
 
4.0%
r 174
 
3.7%
Other values (15) 1046
22.3%
Decimal Number
ValueCountFrequency (%)
0 505
37.7%
1 270
20.1%
5 162
 
12.1%
3 112
 
8.4%
2 108
 
8.1%
4 60
 
4.5%
6 57
 
4.3%
8 44
 
3.3%
7 21
 
1.6%
9 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 120
70.2%
/ 37
 
21.6%
! 10
 
5.8%
, 4
 
2.3%
Space Separator
ValueCountFrequency (%)
1061
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 326
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Other Symbol
ValueCountFrequency (%)
™ 11
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 9
100.0%
Math Symbol
ValueCountFrequency (%)
∥ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9609
76.5%
Common 2945
 
23.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 697
 
7.3%
S 619
 
6.4%
e 596
 
6.2%
i 584
 
6.1%
n 445
 
4.6%
M 437
 
4.5%
A 400
 
4.2%
t 390
 
4.1%
o 383
 
4.0%
E 383
 
4.0%
Other values (41) 4675
48.7%
Common
ValueCountFrequency (%)
1061
36.0%
0 505
17.1%
- 326
 
11.1%
1 270
 
9.2%
5 162
 
5.5%
. 120
 
4.1%
3 112
 
3.8%
2 108
 
3.7%
4 60
 
2.0%
6 57
 
1.9%
Other values (11) 164
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12533
99.8%
Letterlike Symbols 11
 
0.1%
Number Forms 9
 
0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1061
 
8.5%
T 697
 
5.6%
S 619
 
4.9%
e 596
 
4.8%
i 584
 
4.7%
0 505
 
4.0%
n 445
 
3.6%
M 437
 
3.5%
A 400
 
3.2%
t 390
 
3.1%
Other values (59) 6799
54.2%
Letterlike Symbols
ValueCountFrequency (%)
™ 11
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 9
100.0%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%

장치상태명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
신제품
393 
중고제품
341 
<NA>
 
26
기타
 
8

Length

Max length4
Median length3
Mean length3.4674479
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중고제품
2nd row중고제품
3rd row신제품
4th row신제품
5th row중고제품

Common Values

ValueCountFrequency (%)
신제품 393
51.2%
중고제품 341
44.4%
<NA> 26
 
3.4%
기타 8
 
1.0%

Length

2023-12-11T06:23:33.457907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:23:33.554229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신제품 393
51.2%
중고제품 341
44.4%
na 26
 
3.4%
기타 8
 
1.0%

장치용도명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
전신
732 
치과용 파노라마
 
26
파노라마
 
4
검진차량
 
3
이동용
 
2

Length

Max length8
Median length2
Mean length2.2239583
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
전신 732
95.3%
치과용 파노라마 26
 
3.4%
파노라마 4
 
0.5%
검진차량 3
 
0.4%
이동용 2
 
0.3%
일반 1
 
0.1%

Length

2023-12-11T06:23:33.669328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:23:33.774966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전신 732
92.2%
파노라마 30
 
3.8%
치과용 26
 
3.3%
검진차량 3
 
0.4%
이동용 2
 
0.3%
일반 1
 
0.1%

장치형식내용
Text

MISSING 

Distinct229
Distinct (%)31.8%
Missing48
Missing (%)6.2%
Memory size6.1 KiB
2023-12-11T06:23:33.983674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length11
Mean length10
Min length1

Characters and Unicode

Total characters7200
Distinct characters79
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique157 ?
Unique (%)21.8%

Sample

1st rowWCT-500-140
2nd rowWCT-140-500
3rd rowWCT-300-135
4th rowWCT-180-130
5th rowWCT-200-140
ValueCountFrequency (%)
m-1.5-s 65
 
8.1%
wct-300-135 40
 
5.0%
wct-200-140 31
 
3.9%
1.5t 31
 
3.9%
wct-180-130 23
 
2.9%
wct-110-120 21
 
2.6%
wct-200-120 20
 
2.5%
wct-345-130 19
 
2.4%
wct-150-120 18
 
2.2%
wct-440-140 18
 
2.2%
Other values (226) 516
64.3%
2023-12-11T06:23:34.456429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1151
16.0%
0 1066
14.8%
1 743
10.3%
T 577
 
8.0%
C 465
 
6.5%
W 427
 
5.9%
5 374
 
5.2%
3 346
 
4.8%
2 266
 
3.7%
4 233
 
3.2%
Other values (69) 1552
21.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3141
43.6%
Uppercase Letter 2262
31.4%
Dash Punctuation 1151
 
16.0%
Lowercase Letter 338
 
4.7%
Other Punctuation 172
 
2.4%
Space Separator 82
 
1.1%
Other Letter 41
 
0.6%
Close Punctuation 5
 
0.1%
Open Punctuation 5
 
0.1%
Math Symbol 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T 577
25.5%
C 465
20.6%
W 427
18.9%
M 171
 
7.6%
S 151
 
6.7%
R 87
 
3.8%
A 66
 
2.9%
I 52
 
2.3%
E 46
 
2.0%
N 35
 
1.5%
Other values (14) 185
 
8.2%
Lowercase Letter
ValueCountFrequency (%)
i 44
13.0%
e 43
12.7%
a 33
9.8%
s 26
 
7.7%
c 25
 
7.4%
t 24
 
7.1%
n 24
 
7.1%
r 15
 
4.4%
m 12
 
3.6%
o 12
 
3.6%
Other values (13) 80
23.7%
Other Letter
ValueCountFrequency (%)
형 9
22.0%
식 9
22.0%
구 8
19.5%
무 3
 
7.3%
표 2
 
4.9%
시 2
 
4.9%
없 2
 
4.9%
음 2
 
4.9%
확 1
 
2.4%
인 1
 
2.4%
Other values (2) 2
 
4.9%
Decimal Number
ValueCountFrequency (%)
0 1066
33.9%
1 743
23.7%
5 374
 
11.9%
3 346
 
11.0%
2 266
 
8.5%
4 233
 
7.4%
8 51
 
1.6%
6 47
 
1.5%
7 10
 
0.3%
9 5
 
0.2%
Other Punctuation
ValueCountFrequency (%)
. 158
91.9%
/ 9
 
5.2%
, 5
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 1151
100.0%
Space Separator
ValueCountFrequency (%)
82
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Math Symbol
ValueCountFrequency (%)
∥ 1
100.0%
Other Symbol
ValueCountFrequency (%)
™ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4558
63.3%
Latin 2601
36.1%
Hangul 41
 
0.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 577
22.2%
C 465
17.9%
W 427
16.4%
M 171
 
6.6%
S 151
 
5.8%
R 87
 
3.3%
A 66
 
2.5%
I 52
 
2.0%
E 46
 
1.8%
i 44
 
1.7%
Other values (38) 515
19.8%
Common
ValueCountFrequency (%)
- 1151
25.3%
0 1066
23.4%
1 743
16.3%
5 374
 
8.2%
3 346
 
7.6%
2 266
 
5.8%
4 233
 
5.1%
. 158
 
3.5%
82
 
1.8%
8 51
 
1.1%
Other values (9) 88
 
1.9%
Hangul
ValueCountFrequency (%)
형 9
22.0%
식 9
22.0%
구 8
19.5%
무 3
 
7.3%
표 2
 
4.9%
시 2
 
4.9%
없 2
 
4.9%
음 2
 
4.9%
확 1
 
2.4%
인 1
 
2.4%
Other values (2) 2
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7156
99.4%
Hangul 41
 
0.6%
Math Operators 1
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1151
16.1%
0 1066
14.9%
1 743
10.4%
T 577
 
8.1%
C 465
 
6.5%
W 427
 
6.0%
5 374
 
5.2%
3 346
 
4.8%
2 266
 
3.7%
4 233
 
3.3%
Other values (54) 1508
21.1%
Hangul
ValueCountFrequency (%)
형 9
22.0%
식 9
22.0%
구 8
19.5%
무 3
 
7.3%
표 2
 
4.9%
시 2
 
4.9%
없 2
 
4.9%
음 2
 
4.9%
확 1
 
2.4%
인 1
 
2.4%
Other values (2) 2
 
4.9%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
™ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

제조국가명
Categorical

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
일본
332 
중국
144 
미국
125 
독일
84 
대한민국
37 
Other values (3)
46 

Length

Max length4
Median length2
Mean length2.2161458
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row이스라엘
2nd row미국
3rd row중국
4th row중국
5th row중국

Common Values

ValueCountFrequency (%)
일본 332
43.2%
중국 144
18.8%
미국 125
 
16.3%
독일 84
 
10.9%
대한민국 37
 
4.8%
네덜란드 31
 
4.0%
이스라엘 12
 
1.6%
<NA> 3
 
0.4%

Length

2023-12-11T06:23:34.607132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:23:34.790782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일본 332
43.2%
중국 144
18.8%
미국 125
 
16.3%
독일 84
 
10.9%
대한민국 37
 
4.8%
네덜란드 31
 
4.0%
이스라엘 12
 
1.6%
na 3
 
0.4%

제조년월일
Real number (ℝ)

SKEWED 

Distinct490
Distinct (%)63.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20014944
Minimum0
Maximum20180730
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T06:23:34.949670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19940172
Q120020520
median20070102
Q320120501
95-th percentile20170119
Maximum20180730
Range20180730
Interquartile range (IQR)99981

Descriptive statistics

Standard deviation744745.85
Coefficient of variation (CV)0.03720949
Kurtosis682.54253
Mean20014944
Median Absolute Deviation (MAD)49946.5
Skewness-25.434364
Sum1.5371477 × 1010
Variance5.5464638 × 1011
MonotonicityNot monotonic
2023-12-11T06:23:35.373788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19000101 16
 
2.1%
20070101 8
 
1.0%
20070201 7
 
0.9%
20080401 6
 
0.8%
20060901 5
 
0.7%
20051201 5
 
0.7%
20030101 5
 
0.7%
20020501 5
 
0.7%
20080201 5
 
0.7%
20000101 5
 
0.7%
Other values (480) 701
91.3%
ValueCountFrequency (%)
0 1
 
0.1%
19000101 16
2.1%
19000601 3
 
0.4%
19861201 1
 
0.1%
19861212 1
 
0.1%
19870522 1
 
0.1%
19891101 1
 
0.1%
19900101 1
 
0.1%
19900201 1
 
0.1%
19901201 1
 
0.1%
ValueCountFrequency (%)
20180730 1
0.1%
20180627 1
0.1%
20180511 1
0.1%
20180508 1
0.1%
20180501 1
0.1%
20180400 1
0.1%
20180322 1
0.1%
20180300 1
0.1%
20180201 2
0.3%
20180102 1
0.1%

제조번호
Text

Distinct701
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2023-12-11T06:23:35.677756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length7.4882812
Min length4

Characters and Unicode

Total characters5751
Distinct characters43
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique657 ?
Unique (%)85.5%

Sample

1st row95170
2nd row9556
3rd row11A13Z2293
4th row98812
5th row31360HM1
ValueCountFrequency (%)
24
 
3.1%
im15002-001 3
 
0.4%
r3142 3
 
0.4%
kr15355501 2
 
0.3%
314097ym7 2
 
0.3%
31235 2
 
0.3%
7184265 2
 
0.3%
883038ym2 2
 
0.3%
n151 2
 
0.3%
31346 2
 
0.3%
Other values (693) 727
94.3%
2023-12-11T06:23:36.150698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 674
11.7%
0 635
11.0%
2 600
10.4%
3 499
8.7%
6 402
 
7.0%
5 399
 
6.9%
4 381
 
6.6%
7 375
 
6.5%
8 310
 
5.4%
9 306
 
5.3%
Other values (33) 1170
20.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4581
79.7%
Uppercase Letter 889
 
15.5%
Other Punctuation 218
 
3.8%
Dash Punctuation 55
 
1.0%
Space Separator 3
 
0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
M 124
13.9%
R 103
11.6%
A 99
11.1%
C 93
10.5%
K 85
9.6%
Y 71
8.0%
B 61
 
6.9%
H 43
 
4.8%
G 32
 
3.6%
N 25
 
2.8%
Other values (16) 153
17.2%
Decimal Number
ValueCountFrequency (%)
1 674
14.7%
0 635
13.9%
2 600
13.1%
3 499
10.9%
6 402
8.8%
5 399
8.7%
4 381
8.3%
7 375
8.2%
8 310
6.8%
9 306
6.7%
Other Punctuation
ValueCountFrequency (%)
* 217
99.5%
, 1
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
j 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4861
84.5%
Latin 890
 
15.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
M 124
13.9%
R 103
11.6%
A 99
11.1%
C 93
10.4%
K 85
9.6%
Y 71
8.0%
B 61
 
6.9%
H 43
 
4.8%
G 32
 
3.6%
N 25
 
2.8%
Other values (17) 154
17.3%
Common
ValueCountFrequency (%)
1 674
13.9%
0 635
13.1%
2 600
12.3%
3 499
10.3%
6 402
8.3%
5 399
8.2%
4 381
7.8%
7 375
7.7%
8 310
6.4%
9 306
6.3%
Other values (6) 280
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5751
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 674
11.7%
0 635
11.0%
2 600
10.4%
3 499
8.7%
6 402
 
7.0%
5 399
 
6.9%
4 381
 
6.6%
7 375
 
6.5%
8 310
 
5.4%
9 306
 
5.3%
Other values (33) 1170
20.3%

소재지도로명주소
Text

Distinct422
Distinct (%)55.3%
Missing5
Missing (%)0.7%
Memory size6.1 KiB
2023-12-11T06:23:36.447536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length61
Mean length29.695937
Min length14

Characters and Unicode

Total characters22658
Distinct characters333
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique235 ?
Unique (%)30.8%

Sample

1st row경기도 가평군 청평면 경춘로 926
2nd row경기도 가평군 청평면 경춘로 926
3rd row경기도 고양시 일산서구 하이파크2로 60 (덕이동, 든든한빌딩 3~11층)
4th row경기도 고양시 일산서구 중앙로 1448 (주엽동, 2층~5층)
5th row경기도 고양시 덕양구 고양대로 1359 (성사동)
ValueCountFrequency (%)
경기도 763
 
16.1%
수원시 91
 
1.9%
성남시 70
 
1.5%
안산시 64
 
1.3%
부천시 57
 
1.2%
안양시 50
 
1.1%
고양시 48
 
1.0%
단원구 46
 
1.0%
분당구 44
 
0.9%
남양주시 41
 
0.9%
Other values (1002) 3476
73.2%
2023-12-11T06:23:36.875497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3987
 
17.6%
경 841
 
3.7%
시 795
 
3.5%
도 788
 
3.5%
기 784
 
3.5%
, 780
 
3.4%
로 768
 
3.4%
동 765
 
3.4%
( 704
 
3.1%
) 704
 
3.1%
Other values (323) 11742
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12718
56.1%
Space Separator 3987
 
17.6%
Decimal Number 3527
 
15.6%
Other Punctuation 795
 
3.5%
Open Punctuation 704
 
3.1%
Close Punctuation 704
 
3.1%
Math Symbol 99
 
0.4%
Dash Punctuation 73
 
0.3%
Uppercase Letter 37
 
0.2%
Lowercase Letter 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 841
 
6.6%
시 795
 
6.3%
도 788
 
6.2%
기 784
 
6.2%
로 768
 
6.0%
동 765
 
6.0%
구 413
 
3.2%
층 347
 
2.7%
안 269
 
2.1%
원 268
 
2.1%
Other values (284) 6680
52.5%
Uppercase Letter
ValueCountFrequency (%)
B 9
24.3%
M 5
13.5%
H 5
13.5%
S 3
 
8.1%
C 3
 
8.1%
W 2
 
5.4%
P 2
 
5.4%
Y 2
 
5.4%
A 1
 
2.7%
K 1
 
2.7%
Other values (4) 4
10.8%
Decimal Number
ValueCountFrequency (%)
1 634
18.0%
2 497
14.1%
3 478
13.6%
5 337
9.6%
0 306
8.7%
4 304
8.6%
7 287
8.1%
6 280
7.9%
9 203
 
5.8%
8 201
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
l 4
33.3%
e 2
16.7%
a 2
16.7%
r 2
16.7%
k 2
16.7%
Other Punctuation
ValueCountFrequency (%)
, 780
98.1%
. 9
 
1.1%
: 4
 
0.5%
/ 2
 
0.3%
Space Separator
ValueCountFrequency (%)
3987
100.0%
Open Punctuation
ValueCountFrequency (%)
( 704
100.0%
Close Punctuation
ValueCountFrequency (%)
) 704
100.0%
Math Symbol
ValueCountFrequency (%)
~ 99
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 73
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12718
56.1%
Common 9889
43.6%
Latin 51
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 841
 
6.6%
시 795
 
6.3%
도 788
 
6.2%
기 784
 
6.2%
로 768
 
6.0%
동 765
 
6.0%
구 413
 
3.2%
층 347
 
2.7%
안 269
 
2.1%
원 268
 
2.1%
Other values (284) 6680
52.5%
Latin
ValueCountFrequency (%)
B 9
17.6%
M 5
 
9.8%
H 5
 
9.8%
l 4
 
7.8%
S 3
 
5.9%
C 3
 
5.9%
Ⅱ 2
 
3.9%
W 2
 
3.9%
e 2
 
3.9%
P 2
 
3.9%
Other values (10) 14
27.5%
Common
ValueCountFrequency (%)
3987
40.3%
, 780
 
7.9%
( 704
 
7.1%
) 704
 
7.1%
1 634
 
6.4%
2 497
 
5.0%
3 478
 
4.8%
5 337
 
3.4%
0 306
 
3.1%
4 304
 
3.1%
Other values (9) 1158
 
11.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12718
56.1%
ASCII 9938
43.9%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3987
40.1%
, 780
 
7.8%
( 704
 
7.1%
) 704
 
7.1%
1 634
 
6.4%
2 497
 
5.0%
3 478
 
4.8%
5 337
 
3.4%
0 306
 
3.1%
4 304
 
3.1%
Other values (28) 1207
 
12.1%
Hangul
ValueCountFrequency (%)
경 841
 
6.6%
시 795
 
6.3%
도 788
 
6.2%
기 784
 
6.2%
로 768
 
6.0%
동 765
 
6.0%
구 413
 
3.2%
층 347
 
2.7%
안 269
 
2.1%
원 268
 
2.1%
Other values (284) 6680
52.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

소재지지번주소
Text

Distinct426
Distinct (%)55.7%
Missing3
Missing (%)0.4%
Memory size6.1 KiB
2023-12-11T06:23:37.153345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length54
Mean length26.913725
Min length11

Characters and Unicode

Total characters20589
Distinct characters280
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique240 ?
Unique (%)31.4%

Sample

1st row경기도 가평군 청평면 청평리 567번지 21호 사서함
2nd row경기도 가평군 청평면 청평리 567번지 21호 사서함
3rd row경기도 고양시 일산서구 덕이동 1551번지 든든한빌딩3~11층
4th row경기도 고양시 일산서구 주엽동 21번지 1호 2층~5층
5th row경기도 고양시 덕양구 성사동 699번지 9호
ValueCountFrequency (%)
경기도 758
 
17.1%
수원시 91
 
2.1%
1호 66
 
1.5%
성남시 64
 
1.4%
3호 63
 
1.4%
안산시 58
 
1.3%
부천시 56
 
1.3%
2호 53
 
1.2%
안양시 50
 
1.1%
고양시 49
 
1.1%
Other values (936) 3130
70.5%
2023-12-11T06:23:37.600143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3709
 
18.0%
1 803
 
3.9%
지 786
 
3.8%
시 777
 
3.8%
도 776
 
3.8%
기 775
 
3.8%
경 767
 
3.7%
동 762
 
3.7%
번 672
 
3.3%
3 599
 
2.9%
Other values (270) 10163
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11638
56.5%
Decimal Number 4372
 
21.2%
Space Separator 3709
 
18.0%
Other Punctuation 399
 
1.9%
Dash Punctuation 266
 
1.3%
Math Symbol 83
 
0.4%
Close Punctuation 44
 
0.2%
Open Punctuation 44
 
0.2%
Uppercase Letter 20
 
0.1%
Lowercase Letter 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 786
 
6.8%
시 777
 
6.7%
도 776
 
6.7%
기 775
 
6.7%
경 767
 
6.6%
동 762
 
6.5%
번 672
 
5.8%
호 495
 
4.3%
구 396
 
3.4%
층 335
 
2.9%
Other values (235) 5097
43.8%
Decimal Number
ValueCountFrequency (%)
1 803
18.4%
3 599
13.7%
2 596
13.6%
4 417
9.5%
5 413
9.4%
0 386
8.8%
6 377
8.6%
9 284
 
6.5%
8 255
 
5.8%
7 242
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
B 7
35.0%
S 3
15.0%
W 2
 
10.0%
P 2
 
10.0%
N 1
 
5.0%
K 1
 
5.0%
D 1
 
5.0%
A 1
 
5.0%
G 1
 
5.0%
I 1
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
l 4
33.3%
e 2
16.7%
a 2
16.7%
r 2
16.7%
k 2
16.7%
Other Punctuation
ValueCountFrequency (%)
, 364
91.2%
. 33
 
8.3%
/ 2
 
0.5%
Math Symbol
ValueCountFrequency (%)
~ 81
97.6%
+ 2
 
2.4%
Space Separator
ValueCountFrequency (%)
3709
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 266
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11638
56.5%
Common 8917
43.3%
Latin 34
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 786
 
6.8%
시 777
 
6.7%
도 776
 
6.7%
기 775
 
6.7%
경 767
 
6.6%
동 762
 
6.5%
번 672
 
5.8%
호 495
 
4.3%
구 396
 
3.4%
층 335
 
2.9%
Other values (235) 5097
43.8%
Common
ValueCountFrequency (%)
3709
41.6%
1 803
 
9.0%
3 599
 
6.7%
2 596
 
6.7%
4 417
 
4.7%
5 413
 
4.6%
0 386
 
4.3%
6 377
 
4.2%
, 364
 
4.1%
9 284
 
3.2%
Other values (9) 969
 
10.9%
Latin
ValueCountFrequency (%)
B 7
20.6%
l 4
11.8%
S 3
8.8%
W 2
 
5.9%
e 2
 
5.9%
Ⅱ 2
 
5.9%
P 2
 
5.9%
a 2
 
5.9%
r 2
 
5.9%
k 2
 
5.9%
Other values (6) 6
17.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11638
56.5%
ASCII 8949
43.5%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3709
41.4%
1 803
 
9.0%
3 599
 
6.7%
2 596
 
6.7%
4 417
 
4.7%
5 413
 
4.6%
0 386
 
4.3%
6 377
 
4.2%
, 364
 
4.1%
9 284
 
3.2%
Other values (24) 1001
 
11.2%
Hangul
ValueCountFrequency (%)
지 786
 
6.8%
시 777
 
6.7%
도 776
 
6.7%
기 775
 
6.7%
경 767
 
6.6%
동 762
 
6.5%
번 672
 
5.8%
호 495
 
4.3%
구 396
 
3.4%
층 335
 
2.9%
Other values (235) 5097
43.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

소재지우편번호
Real number (ℝ)

Distinct366
Distinct (%)47.8%
Missing2
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean276647.36
Minimum10035
Maximum487823
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T06:23:37.756028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10035
5-th percentile11127.75
Q115291
median421509.5
Q3449812
95-th percentile472926.5
Maximum487823
Range477788
Interquartile range (IQR)434521

Descriptive statistics

Standard deviation211382.93
Coefficient of variation (CV)0.76408801
Kurtosis-1.7965464
Mean276647.36
Median Absolute Deviation (MAD)50310.5
Skewness-0.42459638
Sum2.1191188 × 108
Variance4.4682744 × 1010
MonotonicityNot monotonic
2023-12-11T06:23:37.900225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
463828 12
 
1.6%
16499 12
 
1.6%
464801 9
 
1.2%
472865 8
 
1.0%
480844 8
 
1.0%
430015 7
 
0.9%
14427 7
 
0.9%
425906 7
 
0.9%
442833 7
 
0.9%
13620 7
 
0.9%
Other values (356) 682
88.8%
ValueCountFrequency (%)
10035 2
0.3%
10062 2
0.3%
10071 1
 
0.1%
10086 2
0.3%
10099 1
 
0.1%
10102 1
 
0.1%
10108 2
0.3%
10228 2
0.3%
10326 4
0.5%
10338 1
 
0.1%
ValueCountFrequency (%)
487823 2
 
0.3%
487820 1
 
0.1%
487803 1
 
0.1%
486903 1
 
0.1%
483030 2
 
0.3%
480856 2
 
0.3%
480848 4
0.5%
480844 8
1.0%
480842 2
 
0.3%
480841 1
 
0.1%

WGS84위도
Real number (ℝ)

Distinct372
Distinct (%)48.8%
Missing5
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean37.441164
Minimum36.98405
Maximum38.02442
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T06:23:38.051650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.98405
5-th percentile37.12937
Q137.293904
median37.40069
Q337.607662
95-th percentile37.761129
Maximum38.02442
Range1.0403708
Interquartile range (IQR)0.31375723

Descriptive statistics

Standard deviation0.20220493
Coefficient of variation (CV)0.0054006046
Kurtosis-0.34766749
Mean37.441164
Median Absolute Deviation (MAD)0.12450061
Skewness0.23476521
Sum28567.608
Variance0.040886832
MonotonicityNot monotonic
2023-12-11T06:23:38.211205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.2797309709 12
 
1.6%
37.2919253556 10
 
1.3%
37.7154360459 8
 
1.0%
37.3946244454 7
 
0.9%
37.5025800399 7
 
0.9%
37.330687261 7
 
0.9%
37.3520167812 7
 
0.9%
37.3188431542 7
 
0.9%
37.3916536825 6
 
0.8%
37.5271980864 6
 
0.8%
Other values (362) 686
89.3%
ValueCountFrequency (%)
36.9840497212 4
0.5%
36.9881523917 2
0.3%
36.9902752468 2
0.3%
36.9905649024 2
0.3%
36.9935903917 3
0.4%
36.9938366495 1
 
0.1%
36.9939711588 1
 
0.1%
36.995635887 1
 
0.1%
36.9993313099 1
 
0.1%
37.0015889465 1
 
0.1%
ValueCountFrequency (%)
38.0244204892 1
 
0.1%
38.0235512237 1
 
0.1%
37.9159725251 1
 
0.1%
37.9088541736 4
0.5%
37.903884059 1
 
0.1%
37.9030934888 2
0.3%
37.8981434009 4
0.5%
37.8639614261 3
0.4%
37.856396753 2
0.3%
37.854250207 1
 
0.1%

WGS84경도
Real number (ℝ)

Distinct372
Distinct (%)48.8%
Missing5
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean127.00915
Minimum126.60841
Maximum127.63559
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T06:23:38.339161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.60841
5-th percentile126.74324
Q1126.82947
median127.03305
Q3127.12927
95-th percentile127.30438
Maximum127.63559
Range1.0271813
Interquartile range (IQR)0.29979845

Descriptive statistics

Standard deviation0.19798719
Coefficient of variation (CV)0.0015588419
Kurtosis0.5007599
Mean127.00915
Median Absolute Deviation (MAD)0.13495462
Skewness0.57751502
Sum96907.982
Variance0.039198927
MonotonicityNot monotonic
2023-12-11T06:23:38.517254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0486823475 12
 
1.6%
127.0275231622 10
 
1.3%
127.1799591601 8
 
1.0%
126.926647818 7
 
0.9%
126.7874342413 7
 
0.9%
126.8316725345 7
 
0.9%
127.1244991912 7
 
0.9%
126.834869809 7
 
0.9%
126.961973707 6
 
0.8%
126.8044478015 6
 
0.8%
Other values (362) 686
89.3%
ValueCountFrequency (%)
126.6084077369 2
0.3%
126.6245207951 1
 
0.1%
126.6248942624 1
 
0.1%
126.6275192643 1
 
0.1%
126.627571937 2
0.3%
126.660255538 2
0.3%
126.6788350165 2
0.3%
126.6987024289 4
0.5%
126.6993566298 1
 
0.1%
126.6994788321 1
 
0.1%
ValueCountFrequency (%)
127.6355890297 3
0.4%
127.6329239251 2
 
0.3%
127.6267042219 4
0.5%
127.6121106081 5
0.7%
127.517861738 2
 
0.3%
127.5034843038 3
0.4%
127.4951811015 1
 
0.1%
127.4935296283 1
 
0.1%
127.4503587588 4
0.5%
127.4490609315 3
0.4%

Sample

시군명사업장명인허가일자영업상태명폐업일자공동이용여부사용구분명신고일자의료장비종류명장치명칭장치모델명장치상태명장치용도명장치형식내용제조국가명제조년월일제조번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
0가평군국군청평병원20131216운영중<NA>N사용중20131216CT전산화단층촬영장치BRILLIANCE TM CT 64Slice중고제품전신WCT-500-140이스라엘2006090195170경기도 가평군 청평면 경춘로 926경기도 가평군 청평면 청평리 567번지 21호 사서함47780937.743691127.429584
1가평군국군청평병원20080310폐업 등<NA>N양도양수20080310CT전산화단층촬영장치MX8000중고제품전신WCT-140-500미국200211019556경기도 가평군 청평면 경춘로 926경기도 가평군 청평면 청평리 567번지 21호 사서함47780937.743691127.429584
2고양시든든한병원20150721운영중<NA>Y사용중20150721CT전산화단층촬영장치(CT)TOSHIBA SCANNER Alexion MODEL TSX-032A신제품전신WCT-300-135중국2013120111A13Z2293경기도 고양시 일산서구 하이파크2로 60 (덕이동, 든든한빌딩 3~11층)경기도 고양시 일산서구 덕이동 1551번지 든든한빌딩3~11층41180937.699074126.755895
3고양시척사랑병원20160825운영중<NA>Y사용중20160825CT전산화단층촬영장치(CT)SOMATOM Scope신제품전신WCT-180-130중국2016080898812경기도 고양시 일산서구 중앙로 1448 (주엽동, 2층~5층)경기도 고양시 일산서구 주엽동 21번지 1호 2층~5층1038737.671149126.75987
4고양시원당연세병원20150803운영중<NA>Y사용중20150803CT전산화단층촬영장치(CT)CT/e중고제품전신WCT-200-140중국2002010131360HM1경기도 고양시 덕양구 고양대로 1359 (성사동)경기도 고양시 덕양구 성사동 699번지 9호41202037.655122126.835339
5고양시일산중심병원20160330운영중<NA>N사용중20160330CT전산화단층촬영장치(CT)TOSHIBA SCANNER Alexion MODEL TSX-032A신제품전신WCT-300-135중국201511013ND15Y2646경기도 고양시 일산서구 미래로 227 (덕이동, 일산중심병원)경기도 고양시 일산서구 덕이동 613번지 3호1022837.699959126.746142
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