Overview

Dataset statistics

Number of variables22
Number of observations1009
Missing cells2023
Missing cells (%)9.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory181.4 KiB
Average record size in memory184.1 B

Variable types

Categorical8
Text6
Numeric7
Unsupported1

Dataset

Description특수의료장비 현황(유방촬영용장치)
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=57AJAOQ5TWN36P7PD4442005025&infSeq=1

Alerts

의료장비종류명 has constant value ""Constant
장치명칭 is highly imbalanced (68.8%)Imbalance
장치용도명 is highly imbalanced (98.9%)Imbalance
폐업일자 has 998 (98.9%) missing valuesMissing
제조사명 has 1009 (100.0%) missing valuesMissing
제조사명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 21:14:33.988827
Analysis finished2023-12-10 21:14:34.915948
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct31
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
수원시
97 
고양시
86 
성남시
75 
남양주시
75 
부천시
71 
Other values (26)
605 

Length

Max length4
Median length3
Mean length3.1248761
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수원시 97
 
9.6%
고양시 86
 
8.5%
성남시 75
 
7.4%
남양주시 75
 
7.4%
부천시 71
 
7.0%
용인시 61
 
6.0%
안산시 53
 
5.3%
안양시 49
 
4.9%
의정부시 43
 
4.3%
화성시 42
 
4.2%
Other values (21) 357
35.4%

Length

2023-12-11T06:14:35.008173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 97
 
9.6%
고양시 86
 
8.5%
성남시 75
 
7.4%
남양주시 75
 
7.4%
부천시 71
 
7.0%
용인시 61
 
6.0%
안산시 53
 
5.3%
안양시 49
 
4.9%
의정부시 43
 
4.3%
화성시 42
 
4.2%
Other values (21) 357
35.4%

사업장명
Text

Distinct740
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
2023-12-11T06:14:35.204674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length7.3379584
Min length3

Characters and Unicode

Total characters7404
Distinct characters341
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique543 ?
Unique (%)53.8%

Sample

1st row임내과의원
2nd row홍인의원
3rd row박내과의원
4th row의료법인자인의료재단자인메디병원
5th row해븐리병원
ValueCountFrequency (%)
속편한내과의원 11
 
1.1%
강남병원 7
 
0.7%
우리들내과의원 6
 
0.6%
마음속내과의원 5
 
0.5%
의료법인 5
 
0.5%
연세내과의원 4
 
0.4%
경기도의료원 4
 
0.4%
중앙영상의학과의원 4
 
0.4%
햇살병원 4
 
0.4%
굿모닝내과의원 4
 
0.4%
Other values (747) 993
94.8%
2023-12-11T06:14:35.583193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 1048
 
14.2%
의 833
 
11.3%
과 618
 
8.3%
내 386
 
5.2%
병 280
 
3.8%
산 142
 
1.9%
성 140
 
1.9%
인 133
 
1.8%
한 116
 
1.6%
부 104
 
1.4%
Other values (331) 3604
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7303
98.6%
Space Separator 39
 
0.5%
Decimal Number 31
 
0.4%
Uppercase Letter 17
 
0.2%
Open Punctuation 5
 
0.1%
Close Punctuation 5
 
0.1%
Other Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 1048
 
14.4%
의 833
 
11.4%
과 618
 
8.5%
내 386
 
5.3%
병 280
 
3.8%
산 142
 
1.9%
성 140
 
1.9%
인 133
 
1.8%
한 116
 
1.6%
부 104
 
1.4%
Other values (313) 3503
48.0%
Uppercase Letter
ValueCountFrequency (%)
S 5
29.4%
K 4
23.5%
O 3
17.6%
B 2
 
11.8%
D 1
 
5.9%
M 1
 
5.9%
U 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
2 11
35.5%
1 11
35.5%
5 3
 
9.7%
6 3
 
9.7%
3 3
 
9.7%
Other Punctuation
ValueCountFrequency (%)
· 2
50.0%
. 1
25.0%
& 1
25.0%
Space Separator
ValueCountFrequency (%)
39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7303
98.6%
Common 84
 
1.1%
Latin 17
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 1048
 
14.4%
의 833
 
11.4%
과 618
 
8.5%
내 386
 
5.3%
병 280
 
3.8%
산 142
 
1.9%
성 140
 
1.9%
인 133
 
1.8%
한 116
 
1.6%
부 104
 
1.4%
Other values (313) 3503
48.0%
Common
ValueCountFrequency (%)
39
46.4%
2 11
 
13.1%
1 11
 
13.1%
( 5
 
6.0%
) 5
 
6.0%
5 3
 
3.6%
6 3
 
3.6%
3 3
 
3.6%
· 2
 
2.4%
. 1
 
1.2%
Latin
ValueCountFrequency (%)
S 5
29.4%
K 4
23.5%
O 3
17.6%
B 2
 
11.8%
D 1
 
5.9%
M 1
 
5.9%
U 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7303
98.6%
ASCII 99
 
1.3%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 1048
 
14.4%
의 833
 
11.4%
과 618
 
8.5%
내 386
 
5.3%
병 280
 
3.8%
산 142
 
1.9%
성 140
 
1.9%
인 133
 
1.8%
한 116
 
1.6%
부 104
 
1.4%
Other values (313) 3503
48.0%
ASCII
ValueCountFrequency (%)
39
39.4%
2 11
 
11.1%
1 11
 
11.1%
( 5
 
5.1%
) 5
 
5.1%
S 5
 
5.1%
K 4
 
4.0%
5 3
 
3.0%
O 3
 
3.0%
6 3
 
3.0%
Other values (7) 10
 
10.1%
None
ValueCountFrequency (%)
· 2
100.0%

인허가일자
Real number (ℝ)

Distinct814
Distinct (%)80.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20107193
Minimum19960702
Maximum20180829
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2023-12-11T06:14:35.744194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19960702
5-th percentile20030325
Q120070530
median20110719
Q320150616
95-th percentile20180306
Maximum20180829
Range220127
Interquartile range (IQR)80086

Descriptive statistics

Standard deviation49220.042
Coefficient of variation (CV)0.0024478823
Kurtosis-1.1136415
Mean20107193
Median Absolute Deviation (MAD)40006
Skewness-0.2211167
Sum2.0288158 × 1010
Variance2.4226125 × 109
MonotonicityNot monotonic
2023-12-11T06:14:35.918057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030416 11
 
1.1%
20030414 9
 
0.9%
20030410 7
 
0.7%
20030324 6
 
0.6%
20030310 6
 
0.6%
20030417 6
 
0.6%
20030408 6
 
0.6%
20030325 5
 
0.5%
20030402 4
 
0.4%
20160601 4
 
0.4%
Other values (804) 945
93.7%
ValueCountFrequency (%)
19960702 1
0.1%
19980221 1
0.1%
20000820 1
0.1%
20000907 1
0.1%
20010328 1
0.1%
20011110 1
0.1%
20011211 1
0.1%
20021104 1
0.1%
20021203 1
0.1%
20030113 1
0.1%
ValueCountFrequency (%)
20180829 1
0.1%
20180828 1
0.1%
20180827 2
0.2%
20180824 1
0.1%
20180822 1
0.1%
20180821 1
0.1%
20180817 2
0.2%
20180814 1
0.1%
20180813 1
0.1%
20180802 1
0.1%

영업상태명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
운영중
593 
폐업 등
416 

Length

Max length4
Median length3
Mean length3.4122894
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 593
58.8%
폐업 등 416
41.2%

Length

2023-12-11T06:14:36.090283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:14:36.213470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 593
41.6%
폐업 416
29.2%
등 416
29.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing998
Missing (%)98.9%
Infinite0
Infinite (%)0.0%
Mean20139716
Minimum20100421
Maximum20170817
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2023-12-11T06:14:36.307791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100421
5-th percentile20105416
Q120125662
median20140514
Q320155760
95-th percentile20165921
Maximum20170817
Range70396
Interquartile range (IQR)30099

Descriptive statistics

Standard deviation22235.736
Coefficient of variation (CV)0.0011040739
Kurtosis-0.7047008
Mean20139716
Median Absolute Deviation (MAD)19789
Skewness-0.47140228
Sum2.2153688 × 108
Variance4.9442795 × 108
MonotonicityNot monotonic
2023-12-11T06:14:36.444520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
20140424 1
 
0.1%
20120510 1
 
0.1%
20110411 1
 
0.1%
20150424 1
 
0.1%
20130813 1
 
0.1%
20161025 1
 
0.1%
20140514 1
 
0.1%
20170817 1
 
0.1%
20160303 1
 
0.1%
20151218 1
 
0.1%
(Missing) 998
98.9%
ValueCountFrequency (%)
20100421 1
0.1%
20110411 1
0.1%
20120510 1
0.1%
20130813 1
0.1%
20140424 1
0.1%
20140514 1
0.1%
20150424 1
0.1%
20151218 1
0.1%
20160303 1
0.1%
20161025 1
0.1%
ValueCountFrequency (%)
20170817 1
0.1%
20161025 1
0.1%
20160303 1
0.1%
20151218 1
0.1%
20150424 1
0.1%
20140514 1
0.1%
20140424 1
0.1%
20130813 1
0.1%
20120510 1
0.1%
20110411 1
0.1%

사용구분명
Categorical

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
사용중
602 
양도양수
290 
폐기
 
57
사용중지
 
52
이전
 
6

Length

Max length4
Median length3
Mean length3.2745292
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용중 602
59.7%
양도양수 290
28.7%
폐기 57
 
5.6%
사용중지 52
 
5.2%
이전 6
 
0.6%
기타 2
 
0.2%

Length

2023-12-11T06:14:36.583627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:14:36.751566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중 602
59.7%
양도양수 290
28.7%
폐기 57
 
5.6%
사용중지 52
 
5.2%
이전 6
 
0.6%
기타 2
 
0.2%

신고일자
Real number (ℝ)

Distinct814
Distinct (%)80.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20107193
Minimum19960702
Maximum20180829
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2023-12-11T06:14:36.951994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19960702
5-th percentile20030325
Q120070530
median20110719
Q320150616
95-th percentile20180306
Maximum20180829
Range220127
Interquartile range (IQR)80086

Descriptive statistics

Standard deviation49220.042
Coefficient of variation (CV)0.0024478823
Kurtosis-1.1136415
Mean20107193
Median Absolute Deviation (MAD)40006
Skewness-0.2211167
Sum2.0288158 × 1010
Variance2.4226125 × 109
MonotonicityNot monotonic
2023-12-11T06:14:37.093450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030416 11
 
1.1%
20030414 9
 
0.9%
20030410 7
 
0.7%
20030324 6
 
0.6%
20030310 6
 
0.6%
20030417 6
 
0.6%
20030408 6
 
0.6%
20030325 5
 
0.5%
20030402 4
 
0.4%
20160601 4
 
0.4%
Other values (804) 945
93.7%
ValueCountFrequency (%)
19960702 1
0.1%
19980221 1
0.1%
20000820 1
0.1%
20000907 1
0.1%
20010328 1
0.1%
20011110 1
0.1%
20011211 1
0.1%
20021104 1
0.1%
20021203 1
0.1%
20030113 1
0.1%
ValueCountFrequency (%)
20180829 1
0.1%
20180828 1
0.1%
20180827 2
0.2%
20180824 1
0.1%
20180822 1
0.1%
20180821 1
0.1%
20180817 2
0.2%
20180814 1
0.1%
20180813 1
0.1%
20180802 1
0.1%

의료장비종류명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
유방촬영용장치
1009 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유방촬영용장치 1009
100.0%

Length

2023-12-11T06:14:37.206130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:14:37.286360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유방촬영용장치 1009
100.0%

장치명칭
Categorical

IMBALANCE 

Distinct10
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
유방촬영용장치(mammography)
698 
유방촬영용장치
293 
유방촬영장치
 
6
유방촬영용엑스선장치
 
5
유방용촬영장치
 
2
Other values (5)
 
5

Length

Max length20
Median length20
Mean length16.001982
Min length5

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st row유방촬영용장치(mammography)
2nd row유방촬영장치
3rd row유방촬영용장치(mammography)
4th row유방촬영용장치(mammography)
5th row유방촬영용장치(mammography)

Common Values

ValueCountFrequency (%)
유방촬영용장치(mammography) 698
69.2%
유방촬영용장치 293
29.0%
유방촬영장치 6
 
0.6%
유방촬영용엑스선장치 5
 
0.5%
유방용촬영장치 2
 
0.2%
유방용촬영용장치 1
 
0.1%
유방촬여용장치 1
 
0.1%
유방촬영용 1
 
0.1%
유방촬영용X선장치 1
 
0.1%
유방암촬영기 1
 
0.1%

Length

2023-12-11T06:14:37.381642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:14:37.502073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유방촬영용장치(mammography 698
69.2%
유방촬영용장치 293
29.0%
유방촬영장치 6
 
0.6%
유방촬영용엑스선장치 5
 
0.5%
유방용촬영장치 2
 
0.2%
유방용촬영용장치 1
 
0.1%
유방촬여용장치 1
 
0.1%
유방촬영용 1
 
0.1%
유방촬영용x선장치 1
 
0.1%
유방암촬영기 1
 
0.1%

장치모델명
Text

Distinct196
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
2023-12-11T06:14:37.742933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length43
Mean length11.017839
Min length3

Characters and Unicode

Total characters11117
Distinct characters67
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique103 ?
Unique (%)10.2%

Sample

1st rowContour
2nd rowMX-300
3rd rowAlpha ST MGF-101 mammographic X-ray system
4th rowMX-300
5th rowPinkview-DR Pro
ValueCountFrequency (%)
mx-300 156
 
10.6%
alpha 106
 
7.2%
st 96
 
6.5%
pinkview-rt 91
 
6.2%
mxr-200m 51
 
3.5%
mx-600 47
 
3.2%
pinkview-dr 36
 
2.4%
mammography 34
 
2.3%
mf-150s 32
 
2.2%
system&accessories 31
 
2.1%
Other values (184) 794
53.9%
2023-12-11T06:14:38.113094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 955
 
8.6%
- 822
 
7.4%
M 663
 
6.0%
i 498
 
4.5%
465
 
4.2%
e 417
 
3.8%
T 390
 
3.5%
S 342
 
3.1%
A 338
 
3.0%
a 332
 
3.0%
Other values (57) 5895
53.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 3999
36.0%
Lowercase Letter 3905
35.1%
Decimal Number 1828
16.4%
Dash Punctuation 822
 
7.4%
Space Separator 465
 
4.2%
Other Punctuation 62
 
0.6%
Math Symbol 11
 
0.1%
Letter Number 9
 
0.1%
Close Punctuation 8
 
0.1%
Open Punctuation 8
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 498
12.8%
e 417
 
10.7%
a 332
 
8.5%
m 251
 
6.4%
n 244
 
6.2%
s 212
 
5.4%
r 204
 
5.2%
l 191
 
4.9%
o 182
 
4.7%
p 173
 
4.4%
Other values (14) 1201
30.8%
Uppercase Letter
ValueCountFrequency (%)
M 663
16.6%
T 390
9.8%
S 342
8.6%
A 338
8.5%
X 323
8.1%
R 323
8.1%
P 314
7.9%
E 195
 
4.9%
F 194
 
4.9%
H 156
 
3.9%
Other values (13) 761
19.0%
Decimal Number
ValueCountFrequency (%)
0 955
52.2%
3 225
 
12.3%
1 161
 
8.8%
5 145
 
7.9%
6 89
 
4.9%
2 74
 
4.0%
7 65
 
3.6%
4 62
 
3.4%
8 41
 
2.2%
9 11
 
0.6%
Letter Number
ValueCountFrequency (%)
Ⅳ 5
55.6%
Ⅱ 2
 
22.2%
Ⅲ 2
 
22.2%
Other Punctuation
ValueCountFrequency (%)
/ 31
50.0%
& 31
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 822
100.0%
Space Separator
ValueCountFrequency (%)
465
100.0%
Math Symbol
ValueCountFrequency (%)
+ 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7913
71.2%
Common 3204
28.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
M 663
 
8.4%
i 498
 
6.3%
e 417
 
5.3%
T 390
 
4.9%
S 342
 
4.3%
A 338
 
4.3%
a 332
 
4.2%
X 323
 
4.1%
R 323
 
4.1%
P 314
 
4.0%
Other values (40) 3973
50.2%
Common
ValueCountFrequency (%)
0 955
29.8%
- 822
25.7%
465
14.5%
3 225
 
7.0%
1 161
 
5.0%
5 145
 
4.5%
6 89
 
2.8%
2 74
 
2.3%
7 65
 
2.0%
4 62
 
1.9%
Other values (7) 141
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11108
99.9%
Number Forms 9
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 955
 
8.6%
- 822
 
7.4%
M 663
 
6.0%
i 498
 
4.5%
465
 
4.2%
e 417
 
3.8%
T 390
 
3.5%
S 342
 
3.1%
A 338
 
3.0%
a 332
 
3.0%
Other values (54) 5886
53.0%
Number Forms
ValueCountFrequency (%)
Ⅳ 5
55.6%
Ⅱ 2
 
22.2%
Ⅲ 2
 
22.2%

장치상태명
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
신제품
523 
중고제품
392 
<NA>
78 
기타
 
16

Length

Max length4
Median length3
Mean length3.4499504
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신제품 523
51.8%
중고제품 392
38.9%
<NA> 78
 
7.7%
기타 16
 
1.6%

Length

2023-12-11T06:14:38.248102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:14:38.354378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신제품 523
51.8%
중고제품 392
38.9%
na 78
 
7.7%
기타 16
 
1.6%

장치용도명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
치과일반
1008 
전신
 
1

Length

Max length4
Median length4
Mean length3.9980178
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
치과일반 1008
99.9%
전신 1
 
0.1%

Length

2023-12-11T06:14:38.466831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:14:38.577082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
치과일반 1008
99.9%
전신 1
 
0.1%

장치형식내용
Text

Distinct162
Distinct (%)16.2%
Missing7
Missing (%)0.7%
Memory size8.0 KiB
2023-12-11T06:14:38.781955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length20
Mean length8.6307385
Min length3

Characters and Unicode

Total characters8648
Distinct characters65
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

Unique106 ?
Unique (%)10.6%

Sample

1st rowMR-175-34
2nd rowMIR-85-35
3rd rowMIR-100-35
4th rowMR-35-P
5th rowMR-100-35
ValueCountFrequency (%)
mr-100-35 240
23.6%
mr-85-35 128
 
12.6%
mhr-35-p 85
 
8.3%
mr-100-39 69
 
6.8%
hr-35-p 36
 
3.5%
mir-100-35 32
 
3.1%
mr-150-35 25
 
2.5%
mhr-49-p 22
 
2.2%
mir-85-35 18
 
1.8%
mihr-49-p 17
 
1.7%
Other values (155) 346
34.0%
2023-12-11T06:14:39.140786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1934
22.4%
0 994
11.5%
R 955
11.0%
5 924
10.7%
M 885
10.2%
3 848
9.8%
1 494
 
5.7%
H 242
 
2.8%
P 239
 
2.8%
8 228
 
2.6%
Other values (55) 905
10.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3894
45.0%
Uppercase Letter 2647
30.6%
Dash Punctuation 1934
22.4%
Lowercase Letter 90
 
1.0%
Other Letter 30
 
0.3%
Space Separator 16
 
0.2%
Close Punctuation 16
 
0.2%
Open Punctuation 16
 
0.2%
Other Punctuation 3
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 9
 
10.0%
o 8
 
8.9%
i 8
 
8.9%
a 7
 
7.8%
p 7
 
7.8%
m 6
 
6.7%
h 6
 
6.7%
s 5
 
5.6%
y 5
 
5.6%
e 4
 
4.4%
Other values (11) 25
27.8%
Uppercase Letter
ValueCountFrequency (%)
R 955
36.1%
M 885
33.4%
H 242
 
9.1%
P 239
 
9.0%
I 144
 
5.4%
S 35
 
1.3%
T 26
 
1.0%
A 23
 
0.9%
F 19
 
0.7%
X 14
 
0.5%
Other values (10) 65
 
2.5%
Decimal Number
ValueCountFrequency (%)
0 994
25.5%
5 924
23.7%
3 848
21.8%
1 494
12.7%
8 228
 
5.9%
9 196
 
5.0%
4 153
 
3.9%
7 29
 
0.7%
2 24
 
0.6%
6 4
 
0.1%
Other Letter
ValueCountFrequency (%)
식 9
30.0%
형 9
30.0%
구 9
30.0%
표 1
 
3.3%
시 1
 
3.3%
무 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
/ 2
66.7%
& 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 1934
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅳ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5880
68.0%
Latin 2738
31.7%
Hangul 30
 
0.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
R 955
34.9%
M 885
32.3%
H 242
 
8.8%
P 239
 
8.7%
I 144
 
5.3%
S 35
 
1.3%
T 26
 
0.9%
A 23
 
0.8%
F 19
 
0.7%
X 14
 
0.5%
Other values (32) 156
 
5.7%
Common
ValueCountFrequency (%)
- 1934
32.9%
0 994
16.9%
5 924
15.7%
3 848
14.4%
1 494
 
8.4%
8 228
 
3.9%
9 196
 
3.3%
4 153
 
2.6%
7 29
 
0.5%
2 24
 
0.4%
Other values (7) 56
 
1.0%
Hangul
ValueCountFrequency (%)
식 9
30.0%
형 9
30.0%
구 9
30.0%
표 1
 
3.3%
시 1
 
3.3%
무 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8617
99.6%
Hangul 30
 
0.3%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1934
22.4%
0 994
11.5%
R 955
11.1%
5 924
10.7%
M 885
10.3%
3 848
9.8%
1 494
 
5.7%
H 242
 
2.8%
P 239
 
2.8%
8 228
 
2.6%
Other values (48) 874
10.1%
Hangul
ValueCountFrequency (%)
식 9
30.0%
형 9
30.0%
구 9
30.0%
표 1
 
3.3%
시 1
 
3.3%
무 1
 
3.3%
Number Forms
ValueCountFrequency (%)
Ⅳ 1
100.0%

제조국가명
Categorical

Distinct14
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
대한민국
478 
미국
204 
핀란드
128 
프랑스
65 
일본
51 
Other values (9)
83 

Length

Max length4
Median length4
Mean length3.2566898
Min length2

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st row미국
2nd row대한민국
3rd row핀란드
4th row대한민국
5th row대한민국

Common Values

ValueCountFrequency (%)
대한민국 478
47.4%
미국 204
20.2%
핀란드 128
 
12.7%
프랑스 65
 
6.4%
일본 51
 
5.1%
이탈리아 35
 
3.5%
헝가리 26
 
2.6%
독일 8
 
0.8%
<NA> 8
 
0.8%
덴마크 2
 
0.2%
Other values (4) 4
 
0.4%

Length

2023-12-11T06:14:39.283109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대한민국 478
47.4%
미국 204
20.2%
핀란드 128
 
12.7%
프랑스 65
 
6.4%
일본 51
 
5.1%
이탈리아 35
 
3.5%
헝가리 26
 
2.6%
독일 8
 
0.8%
na 8
 
0.8%
덴마크 2
 
0.2%
Other values (4) 4
 
0.4%

제조년월일
Real number (ℝ)

Distinct655
Distinct (%)64.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19998331
Minimum0
Maximum20180820
Zeros2
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2023-12-11T06:14:39.443248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19931101
Q120001201
median20070223
Q320120713
95-th percentile20170778
Maximum20180820
Range20180820
Interquartile range (IQR)119512

Descriptive statistics

Standard deviation982692.12
Coefficient of variation (CV)0.049138708
Kurtosis352.69124
Mean19998331
Median Absolute Deviation (MAD)59822
Skewness-18.231104
Sum2.0178316 × 1010
Variance9.6568381 × 1011
MonotonicityNot monotonic
2023-12-11T06:14:39.621714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19940501 7
 
0.7%
20000501 7
 
0.7%
20020501 7
 
0.7%
20071001 7
 
0.7%
20080501 6
 
0.6%
20030501 6
 
0.6%
20120601 5
 
0.5%
20061101 5
 
0.5%
19940601 5
 
0.5%
20060801 5
 
0.5%
Other values (645) 949
94.1%
ValueCountFrequency (%)
0 2
0.2%
11111111 2
0.2%
19000101 4
0.4%
19000601 2
0.2%
19860302 1
 
0.1%
19900101 1
 
0.1%
19900201 1
 
0.1%
19900501 1
 
0.1%
19900801 1
 
0.1%
19900903 1
 
0.1%
ValueCountFrequency (%)
20180820 3
0.3%
20180816 1
 
0.1%
20180810 1
 
0.1%
20180808 1
 
0.1%
20180725 1
 
0.1%
20180702 1
 
0.1%
20180701 1
 
0.1%
20180626 1
 
0.1%
20180621 1
 
0.1%
20180618 1
 
0.1%

제조번호
Text

Distinct909
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
2023-12-11T06:14:39.896107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length9.4767096
Min length3

Characters and Unicode

Total characters9562
Distinct characters45
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique817 ?
Unique (%)81.0%

Sample

1st rowBMC-29052
2nd rowRM3-00119
3rd row15292
4th rowGMA-0103-110
5th rowBMDO-100077
ValueCountFrequency (%)
946098 4
 
0.4%
bmf-26148 3
 
0.3%
bmf-25689 3
 
0.3%
7636 3
 
0.3%
rm3-00132 3
 
0.3%
rm3-00058 3
 
0.3%
997133 3
 
0.3%
7642 2
 
0.2%
18105970452 2
 
0.2%
254816bu3 2
 
0.2%
Other values (899) 981
97.2%
2023-12-11T06:14:40.547945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1899
19.9%
1 1310
13.7%
- 741
 
7.7%
2 738
 
7.7%
M 563
 
5.9%
3 525
 
5.5%
5 505
 
5.3%
6 453
 
4.7%
4 417
 
4.4%
7 371
 
3.9%
Other values (35) 2040
21.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6887
72.0%
Uppercase Letter 1883
 
19.7%
Dash Punctuation 741
 
7.7%
Other Punctuation 38
 
0.4%
Other Letter 6
 
0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
M 563
29.9%
B 368
19.5%
A 235
12.5%
R 178
 
9.5%
G 171
 
9.1%
F 96
 
5.1%
D 57
 
3.0%
U 47
 
2.5%
C 36
 
1.9%
O 34
 
1.8%
Other values (15) 98
 
5.2%
Decimal Number
ValueCountFrequency (%)
0 1899
27.6%
1 1310
19.0%
2 738
 
10.7%
3 525
 
7.6%
5 505
 
7.3%
6 453
 
6.6%
4 417
 
6.1%
7 371
 
5.4%
9 349
 
5.1%
8 320
 
4.6%
Other Letter
ValueCountFrequency (%)
무 2
33.3%
시 2
33.3%
표 2
33.3%
Open Punctuation
ValueCountFrequency (%)
( 2
66.7%
[ 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 2
66.7%
] 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 741
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 38
100.0%
Lowercase Letter
ValueCountFrequency (%)
w 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7672
80.2%
Latin 1884
 
19.7%
Hangul 6
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
M 563
29.9%
B 368
19.5%
A 235
12.5%
R 178
 
9.4%
G 171
 
9.1%
F 96
 
5.1%
D 57
 
3.0%
U 47
 
2.5%
C 36
 
1.9%
O 34
 
1.8%
Other values (16) 99
 
5.3%
Common
ValueCountFrequency (%)
0 1899
24.8%
1 1310
17.1%
- 741
 
9.7%
2 738
 
9.6%
3 525
 
6.8%
5 505
 
6.6%
6 453
 
5.9%
4 417
 
5.4%
7 371
 
4.8%
9 349
 
4.5%
Other values (6) 364
 
4.7%
Hangul
ValueCountFrequency (%)
무 2
33.3%
시 2
33.3%
표 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9556
99.9%
Hangul 6
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1899
19.9%
1 1310
13.7%
- 741
 
7.8%
2 738
 
7.7%
M 563
 
5.9%
3 525
 
5.5%
5 505
 
5.3%
6 453
 
4.7%
4 417
 
4.4%
7 371
 
3.9%
Other values (32) 2034
21.3%
Hangul
ValueCountFrequency (%)
무 2
33.3%
시 2
33.3%
표 2
33.3%

제조사명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1009
Missing (%)100.0%
Memory size9.0 KiB

소재지도로명주소
Text

Distinct821
Distinct (%)81.5%
Missing2
Missing (%)0.2%
Memory size8.0 KiB
2023-12-11T06:14:40.838473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length52
Mean length31.626614
Min length16

Characters and Unicode

Total characters31848
Distinct characters413
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique661 ?
Unique (%)65.6%

Sample

1st row경기도 가평군 가평읍 연인1길 1, 2층
2nd row경기도 가평군 청평면 청평중앙로 37-2
3rd row경기도 고양시 덕양구 토당로 115, 212호 (토당동, 금호프라자)
4th row경기도 고양시 덕양구 중앙로 555, 지하1,1-10층 (행신동)
5th row경기도 고양시 일산동구 중산로 117 (중산동, 성도빌딩,지하1층일부,1층일부,3층,4층)
ValueCountFrequency (%)
경기도 1007
 
15.3%
수원시 97
 
1.5%
고양시 86
 
1.3%
2층 77
 
1.2%
남양주시 75
 
1.1%
성남시 75
 
1.1%
부천시 71
 
1.1%
4층 61
 
0.9%
용인시 61
 
0.9%
안산시 53
 
0.8%
Other values (1795) 4936
74.8%
2023-12-11T06:14:41.266744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5599
 
17.6%
, 1211
 
3.8%
경 1096
 
3.4%
시 1060
 
3.3%
기 1052
 
3.3%
도 1044
 
3.3%
동 1034
 
3.2%
로 1013
 
3.2%
1 934
 
2.9%
) 927
 
2.9%
Other values (403) 16878
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17540
55.1%
Space Separator 5599
 
17.6%
Decimal Number 5330
 
16.7%
Other Punctuation 1236
 
3.9%
Close Punctuation 927
 
2.9%
Open Punctuation 927
 
2.9%
Dash Punctuation 131
 
0.4%
Math Symbol 103
 
0.3%
Uppercase Letter 45
 
0.1%
Lowercase Letter 7
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 1096
 
6.2%
시 1060
 
6.0%
기 1052
 
6.0%
도 1044
 
6.0%
동 1034
 
5.9%
로 1013
 
5.8%
구 473
 
2.7%
층 453
 
2.6%
호 384
 
2.2%
양 333
 
1.9%
Other values (364) 9598
54.7%
Uppercase Letter
ValueCountFrequency (%)
B 14
31.1%
C 6
13.3%
S 6
13.3%
A 4
 
8.9%
K 3
 
6.7%
M 3
 
6.7%
H 3
 
6.7%
Y 1
 
2.2%
G 1
 
2.2%
N 1
 
2.2%
Other values (3) 3
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 934
17.5%
2 759
14.2%
3 731
13.7%
0 715
13.4%
4 569
10.7%
5 437
8.2%
6 347
 
6.5%
7 312
 
5.9%
9 276
 
5.2%
8 250
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
28.6%
l 2
28.6%
k 1
14.3%
r 1
14.3%
a 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 1211
98.0%
. 17
 
1.4%
/ 7
 
0.6%
& 1
 
0.1%
Space Separator
ValueCountFrequency (%)
5599
100.0%
Close Punctuation
ValueCountFrequency (%)
) 927
100.0%
Open Punctuation
ValueCountFrequency (%)
( 927
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 131
100.0%
Math Symbol
ValueCountFrequency (%)
~ 103
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17541
55.1%
Common 14253
44.8%
Latin 54
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 1096
 
6.2%
시 1060
 
6.0%
기 1052
 
6.0%
도 1044
 
6.0%
동 1034
 
5.9%
로 1013
 
5.8%
구 473
 
2.7%
층 453
 
2.6%
호 384
 
2.2%
양 333
 
1.9%
Other values (365) 9599
54.7%
Common
ValueCountFrequency (%)
5599
39.3%
, 1211
 
8.5%
1 934
 
6.6%
) 927
 
6.5%
( 927
 
6.5%
2 759
 
5.3%
3 731
 
5.1%
0 715
 
5.0%
4 569
 
4.0%
5 437
 
3.1%
Other values (9) 1444
 
10.1%
Latin
ValueCountFrequency (%)
B 14
25.9%
C 6
11.1%
S 6
11.1%
A 4
 
7.4%
K 3
 
5.6%
M 3
 
5.6%
H 3
 
5.6%
Ⅱ 2
 
3.7%
e 2
 
3.7%
l 2
 
3.7%
Other values (9) 9
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17540
55.1%
ASCII 14305
44.9%
Number Forms 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5599
39.1%
, 1211
 
8.5%
1 934
 
6.5%
) 927
 
6.5%
( 927
 
6.5%
2 759
 
5.3%
3 731
 
5.1%
0 715
 
5.0%
4 569
 
4.0%
5 437
 
3.1%
Other values (27) 1496
 
10.5%
Hangul
ValueCountFrequency (%)
경 1096
 
6.2%
시 1060
 
6.0%
기 1052
 
6.0%
도 1044
 
6.0%
동 1034
 
5.9%
로 1013
 
5.8%
구 473
 
2.7%
층 453
 
2.6%
호 384
 
2.2%
양 333
 
1.9%
Other values (364) 9598
54.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지지번주소
Text

Distinct827
Distinct (%)82.0%
Missing1
Missing (%)0.1%
Memory size8.0 KiB
2023-12-11T06:14:41.577119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length55
Mean length28.185516
Min length8

Characters and Unicode

Total characters28411
Distinct characters374
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

Unique671 ?
Unique (%)66.6%

Sample

1st row경기도 가평군 가평읍 읍내리 476번지 7호 2층
2nd row경기도 가평군 청평면 청평리 470번지 31호
3rd row경기도 고양시 덕양구 토당동 282번지 2호
4th row경기도 고양시 덕양구 행신동 995번지 지하1,1-10층
5th row경기도 고양시 일산동구 중산동 1696번지 성도빌딩 지하1층일부,1층일부,3층,4층
ValueCountFrequency (%)
경기도 1000
 
16.5%
수원시 97
 
1.6%
1호 95
 
1.6%
고양시 83
 
1.4%
남양주시 75
 
1.2%
부천시 71
 
1.2%
2호 66
 
1.1%
성남시 65
 
1.1%
3호 62
 
1.0%
2층 59
 
1.0%
Other values (1655) 4396
72.4%
2023-12-11T06:14:42.118417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5105
 
18.0%
1 1162
 
4.1%
기 1037
 
3.6%
도 1027
 
3.6%
시 1026
 
3.6%
경 1014
 
3.6%
동 992
 
3.5%
지 986
 
3.5%
호 889
 
3.1%
번 858
 
3.0%
Other values (364) 14315
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16026
56.4%
Decimal Number 6293
 
22.1%
Space Separator 5105
 
18.0%
Other Punctuation 458
 
1.6%
Dash Punctuation 284
 
1.0%
Math Symbol 80
 
0.3%
Close Punctuation 53
 
0.2%
Open Punctuation 53
 
0.2%
Uppercase Letter 45
 
0.2%
Lowercase Letter 10
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1037
 
6.5%
도 1027
 
6.4%
시 1026
 
6.4%
경 1014
 
6.3%
동 992
 
6.2%
지 986
 
6.2%
호 889
 
5.5%
번 858
 
5.4%
구 461
 
2.9%
층 393
 
2.5%
Other values (318) 7343
45.8%
Uppercase Letter
ValueCountFrequency (%)
B 13
28.9%
S 7
15.6%
C 5
 
11.1%
A 5
 
11.1%
K 3
 
6.7%
H 2
 
4.4%
Y 1
 
2.2%
N 1
 
2.2%
G 1
 
2.2%
M 1
 
2.2%
Other values (6) 6
13.3%
Decimal Number
ValueCountFrequency (%)
1 1162
18.5%
2 814
12.9%
3 778
12.4%
0 716
11.4%
4 687
10.9%
5 588
9.3%
6 433
 
6.9%
7 412
 
6.5%
8 369
 
5.9%
9 334
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
l 2
20.0%
a 2
20.0%
e 2
20.0%
r 1
10.0%
t 1
10.0%
k 1
10.0%
p 1
10.0%
Other Punctuation
ValueCountFrequency (%)
, 399
87.1%
. 50
 
10.9%
/ 8
 
1.7%
& 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 76
95.0%
∼ 2
 
2.5%
+ 2
 
2.5%
Space Separator
ValueCountFrequency (%)
5105
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 284
100.0%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16028
56.4%
Common 12326
43.4%
Latin 57
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1037
 
6.5%
도 1027
 
6.4%
시 1026
 
6.4%
경 1014
 
6.3%
동 992
 
6.2%
지 986
 
6.2%
호 889
 
5.5%
번 858
 
5.4%
구 461
 
2.9%
층 393
 
2.5%
Other values (319) 7345
45.8%
Latin
ValueCountFrequency (%)
B 13
22.8%
S 7
12.3%
C 5
 
8.8%
A 5
 
8.8%
K 3
 
5.3%
H 2
 
3.5%
l 2
 
3.5%
Ⅱ 2
 
3.5%
a 2
 
3.5%
e 2
 
3.5%
Other values (14) 14
24.6%
Common
ValueCountFrequency (%)
5105
41.4%
1 1162
 
9.4%
2 814
 
6.6%
3 778
 
6.3%
0 716
 
5.8%
4 687
 
5.6%
5 588
 
4.8%
6 433
 
3.5%
7 412
 
3.3%
, 399
 
3.2%
Other values (11) 1232
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16026
56.4%
ASCII 12379
43.6%
Number Forms 2
 
< 0.1%
Math Operators 2
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5105
41.2%
1 1162
 
9.4%
2 814
 
6.6%
3 778
 
6.3%
0 716
 
5.8%
4 687
 
5.5%
5 588
 
4.7%
6 433
 
3.5%
7 412
 
3.3%
, 399
 
3.2%
Other values (33) 1285
 
10.4%
Hangul
ValueCountFrequency (%)
기 1037
 
6.5%
도 1027
 
6.4%
시 1026
 
6.4%
경 1014
 
6.3%
동 992
 
6.2%
지 986
 
6.2%
호 889
 
5.5%
번 858
 
5.4%
구 461
 
2.9%
층 393
 
2.5%
Other values (318) 7343
45.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
Math Operators
ValueCountFrequency (%)
∼ 2
100.0%
None
ValueCountFrequency (%)
㈜ 2
100.0%

소재지우편번호
Real number (ℝ)

Distinct622
Distinct (%)61.8%
Missing2
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean282297.57
Minimum10018
Maximum487852
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2023-12-11T06:14:42.287053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10018
5-th percentile10574
Q115470.5
median423051
Q3450085
95-th percentile477812
Maximum487852
Range477834
Interquartile range (IQR)434614.5

Descriptive statistics

Standard deviation210433.57
Coefficient of variation (CV)0.74543173
Kurtosis-1.7465443
Mean282297.57
Median Absolute Deviation (MAD)48772
Skewness-0.47623716
Sum2.8427366 × 108
Variance4.4282287 × 1010
MonotonicityNot monotonic
2023-12-11T06:14:42.433989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
426815 9
 
0.9%
463824 8
 
0.8%
467800 6
 
0.6%
482030 6
 
0.6%
441822 6
 
0.6%
446597 6
 
0.6%
10386 6
 
0.6%
423858 6
 
0.6%
442833 5
 
0.5%
411371 5
 
0.5%
Other values (612) 944
93.6%
ValueCountFrequency (%)
10018 1
 
0.1%
10035 1
 
0.1%
10071 4
0.4%
10077 1
 
0.1%
10082 1
 
0.1%
10086 1
 
0.1%
10099 2
0.2%
10108 3
0.3%
10113 1
 
0.1%
10115 1
 
0.1%
ValueCountFrequency (%)
487852 1
0.1%
487823 2
0.2%
487805 1
0.1%
487802 1
0.1%
486902 1
0.1%
483801 1
0.1%
483030 2
0.2%
482841 1
0.1%
482110 2
0.2%
482050 2
0.2%

WGS84위도
Real number (ℝ)

Distinct757
Distinct (%)75.2%
Missing2
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean37.449165
Minimum36.960955
Maximum38.030193
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2023-12-11T06:14:42.579448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.960955
5-th percentile37.115291
Q137.29497
median37.428271
Q337.633277
95-th percentile37.762235
Maximum38.030193
Range1.0692377
Interquartile range (IQR)0.33830637

Descriptive statistics

Standard deviation0.20938519
Coefficient of variation (CV)0.0055911844
Kurtosis-0.46098899
Mean37.449165
Median Absolute Deviation (MAD)0.15450322
Skewness0.077141372
Sum37711.309
Variance0.043842156
MonotonicityNot monotonic
2023-12-11T06:14:42.747306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4860107544 6
 
0.6%
37.669807677 5
 
0.5%
37.3705571519 4
 
0.4%
37.2736708927 4
 
0.4%
37.1176220961 4
 
0.4%
37.5384764253 4
 
0.4%
37.6335523359 4
 
0.4%
37.606103011 4
 
0.4%
37.6009930327 4
 
0.4%
37.2060680889 3
 
0.3%
Other values (747) 965
95.6%
ValueCountFrequency (%)
36.9609553206 1
0.1%
36.9840497212 1
0.1%
36.9898542258 1
0.1%
36.9899577762 2
0.2%
36.9900804842 2
0.2%
36.9905649024 1
0.1%
36.9912796065 1
0.1%
36.9919506235 1
0.1%
36.9919640634 1
0.1%
36.9922255991 2
0.2%
ValueCountFrequency (%)
38.0301930006 1
 
0.1%
38.0235512237 3
0.3%
37.9576250306 1
 
0.1%
37.9088541736 2
0.2%
37.9054371701 1
 
0.1%
37.9053739082 1
 
0.1%
37.9040519608 1
 
0.1%
37.9030934888 1
 
0.1%
37.8981434009 2
0.2%
37.8964610358 1
 
0.1%

WGS84경도
Real number (ℝ)

Distinct757
Distinct (%)75.2%
Missing2
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean127.01085
Minimum126.59864
Maximum127.69137
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2023-12-11T06:14:42.912790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.59864
5-th percentile126.75167
Q1126.83487
median127.03872
Q3127.12433
95-th percentile127.31214
Maximum127.69137
Range1.0927339
Interquartile range (IQR)0.28946177

Descriptive statistics

Standard deviation0.19616977
Coefficient of variation (CV)0.0015445119
Kurtosis0.62012248
Mean127.01085
Median Absolute Deviation (MAD)0.12131539
Skewness0.5824476
Sum127899.92
Variance0.038482578
MonotonicityNot monotonic
2023-12-11T06:14:43.050533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.8113337684 6
 
0.6%
126.762967568 5
 
0.5%
127.1075110479 4
 
0.4%
127.1114435444 4
 
0.4%
127.6333088286 4
 
0.4%
127.2046232847 4
 
0.4%
127.2052107223 4
 
0.4%
127.1572480456 4
 
0.4%
127.1334698765 4
 
0.4%
127.0368490406 3
 
0.3%
Other values (747) 965
95.6%
ValueCountFrequency (%)
126.5986406181 1
0.1%
126.6084077369 1
0.1%
126.6222321021 1
0.1%
126.6251141119 1
0.1%
126.6261155061 1
0.1%
126.6261996286 1
0.1%
126.6270138759 1
0.1%
126.6273248993 2
0.2%
126.6275192643 1
0.1%
126.631709022 1
0.1%
ValueCountFrequency (%)
127.6913745235 1
 
0.1%
127.6367504612 1
 
0.1%
127.6363312817 1
 
0.1%
127.6355890297 1
 
0.1%
127.6333088286 4
0.4%
127.6329239251 1
 
0.1%
127.6298380188 2
0.2%
127.6298291203 1
 
0.1%
127.6288883839 1
 
0.1%
127.6267042219 2
0.2%

Sample

시군명사업장명인허가일자영업상태명폐업일자사용구분명신고일자의료장비종류명장치명칭장치모델명장치상태명장치용도명장치형식내용제조국가명제조년월일제조번호제조사명소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
0가평군임내과의원20080902운영중<NA>사용중20080902유방촬영용장치유방촬영용장치(mammography)Contour중고제품치과일반MR-175-34미국19990501BMC-29052<NA>경기도 가평군 가평읍 연인1길 1, 2층경기도 가평군 가평읍 읍내리 476번지 7호 2층47780537.829355127.513682
1가평군홍인의원20080501운영중<NA>사용중20080501유방촬영용장치유방촬영장치MX-300신제품치과일반MIR-85-35대한민국20080401RM3-00119<NA>경기도 가평군 청평면 청평중앙로 37-2경기도 가평군 청평면 청평리 470번지 31호47781537.737583127.418805
2고양시박내과의원20061130운영중<NA>사용중20061130유방촬영용장치유방촬영용장치(mammography)Alpha ST MGF-101 mammographic X-ray system신제품치과일반MIR-100-35핀란드2006100115292<NA>경기도 고양시 덕양구 토당로 115, 212호 (토당동, 금호프라자)경기도 고양시 덕양구 토당동 282번지 2호41281737.625499126.816962
3고양시의료법인자인의료재단자인메디병원20140407운영중<NA>사용중20140407유방촬영용장치유방촬영용장치(mammography)MX-300중고제품치과일반MR-35-P대한민국20100120GMA-0103-110<NA>경기도 고양시 덕양구 중앙로 555, 지하1,1-10층 (행신동)경기도 고양시 덕양구 행신동 995번지 지하1,1-10층1051837.622983126.835682
4고양시해븐리병원20171024운영중<NA>사용중20171024유방촬영용장치유방촬영용장치(mammography)Pinkview-DR Pro신제품치과일반MR-100-35대한민국20171023BMDO-100077<NA>경기도 고양시 일산동구 중산로 117 (중산동, 성도빌딩,지하1층일부,1층일부,3층,4층)경기도 고양시 일산동구 중산동 1696번지 성도빌딩 지하1층일부,1층일부,3층,4층1033837.682547126.781032
5고양시국립암센터20150622운영중<NA>사용중20150622유방촬영용장치유방촬영용장치(mammography)SELENIA DIMENSIONS신제품치과일반MR-200-49미국2015050181005154880A<NA>경기도 고양시 일산동구 일산로 323 (마두동)경기도 고양시 일산동구 마두1동 809번지41081237.663237126.783396
6고양시허유재병원20150629운영중<NA>사용중20150629유방촬영용장치유방촬영용장치SELENIA신제품치과일반MR-100-39미국201504012840415W8317<NA>경기도 고양시 일산동구 중앙로 1317 (장항동)경기도 고양시 일산동구 장항동 78041038237.662929126.76994
7고양시김내과의원20160613운영중<NA>사용중20160613유방촬영용장치유방촬영용장치(mammography)Pinkview-RT신제품치과일반MR-100-35대한민국20160609BMR-100299<NA>경기도 고양시 일산동구 일산로 214 (마두동, 화성프라자 2층)경기도 고양시 일산동구 마두동41081037.655488126.789853
8고양시연세미소내과의원20160326운영중<NA>사용중20160326유방촬영용장치유방촬영용장치(mammography)Pinkview-RT<NA>치과일반MR-100-35대한민국20160323BMR-100288<NA>경기도 고양시 덕양구 화중로 72, 402호 (화정동, 홀인원프라자)경기도 고양시 덕양구 화정동 970번지 2호 홀인원프라자 402호1050037.633638126.831054
9고양시신록내과의원20080526운영중<NA>사용중20080526유방촬영용장치유방용촬영용장치MF-150-S중고제품치과일반MHR-35-P미국19950301BMF-26294<NA>경기도 고양시 일산동구 중앙로 1172 (마두동, 일산그랜드프라자 310~311호)경기도 고양시 일산동구 마두2동 802-1. 일산그랜드프라자빌딩310,311호41035237.651732126.778393
시군명사업장명인허가일자영업상태명폐업일자사용구분명신고일자의료장비종류명장치명칭장치모델명장치상태명장치용도명장치형식내용제조국가명제조년월일제조번호제조사명소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
999화성시성모내과의원20090326폐업 등<NA>양도양수20090326유방촬영용장치유방촬영용장치(mammography)M-III중고제품치과일반MHR-34-S미국1995040125-1058<NA>경기도 화성시 봉담읍 동화길 91, 401~403호 (웅신아트프라자)경기도 화성시 봉담읍 동화리 599번지 4호 웅신아트프라자 401-403호44589337.216581126.958858
1000화성시속편한내과의원20071226폐업 등<NA>사용중지20071226유방촬영용장치유방촬영용장치(mammography)MX-300<NA>치과일반MIR-85-35대한민국20071210RM3-00106<NA>경기도 화성시 동탄솔빛로 67, 6층 603~605호 (반송동, 성우프라자)경기도 화성시 반송동219-1 성우프라자6층 603,604,6051844337.194842127.074326
1001화성시권내과의원20030321폐업 등<NA>양도양수20030321유방촬영용장치유방촬영장치HF-46<NA>치과일반MIHR-40-P<NA>19920102926065<NA>경기도 화성시 우정읍 조암서로 1경기도 화성시 우정읍 조암리 327-1,121856837.081658126.81574
1002화성시병점메디칼의원20110321폐업 등<NA>폐기20110321유방촬영용장치유방촬영용장치(mammography)EUR-30중고제품치과일반HR-50-P이탈리아19980701A357<NA>경기도 화성시 경기대로 1008, 2층 (병점동)경기도 화성시 병점동 371번지 1호 2층44536037.206068127.036849
1003화성시중앙메디칼의원20170307폐업 등<NA>양도양수20170307유방촬영용장치유방촬영용장치(mammography)MX-300<NA>치과일반MR-85-35대한민국20080900RM3-00132<NA>경기도 화성시 동탄순환대로 692, 402,403호 (영천동, 에이스프라자)경기도 화성시 영천동 681-6번지1846637.206778127.111415
1004화성시온마음연세의원20160218폐업 등<NA>이전20160218유방촬영용장치유방촬영용장치(mammography)Pinkview-RT신제품치과일반MR-100-35대한민국20160201BMR-100284<NA>경기도 화성시 동탄솔빛로 68, 4층 403-405호 (반송동, 계림개발)경기도 화성시 반송동 218번지 1호1844237.19442127.074937
1005화성시동탄수내과의원20151026폐업 등<NA>양도양수20151026유방촬영용장치유방촬영용장치(mammography)MA 4600(MA-4600)중고제품치과일반MHR-35-P(MHR-35-P)일본0946098<NA>경기도 화성시 동탄대로시범길 146, 4층 402호 (청계동, 포트센트럴시티)경기도 화성시 청계동 510번지 815호1847637.20032127.113138
1006화성시성모플러스내과의원20070611폐업 등<NA>양도양수20070611유방촬영용장치유방촬영용장치(mammography)Contour<NA>치과일반MIR-175-34미국20000501BMC-29249<NA>경기도 화성시 동탄반석로 196, 401,402호 (반송동, 아이프라자)경기도 화성시 반송동 88-13 아이프라자 401, 402호1845337.206094127.07246
1007화성시준내과의원20160321폐업 등<NA>양도양수20160321유방촬영용장치유방촬영용장치(mammography)MX-600중고제품치과일반MHR-39-P대한민국20050121RM6-00032<NA>경기도 화성시 봉담읍 와우로73번길 6, 태천센타경기도 화성시 봉담읍 와우리 26번지 12호 태천센타1832137.214145126.974248
1008화성시병점정형외과의원20041118폐업 등<NA>양도양수20041118유방촬영용장치유방촬영장치EUR-30<NA>치과일반HR-50-P이탈리아19970701A357<NA>경기도 화성시 경기대로 1008 (병점동)경기도 화성시 병점동 371번지 1호44536037.206068127.036849