Overview

Dataset statistics

Number of variables23
Number of observations10000
Missing cells18085
Missing cells (%)7.9%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory1.9 MiB
Average record size in memory198.0 B

Variable types

Categorical9
Text8
Numeric6

Dataset

Description진단용 방사선 발생장치 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=D8W25N358PD37VXUZ3052111312&infSeq=1

Alerts

영업상태명 has constant value ""Constant
Dataset has 1 (< 0.1%) duplicate rowsDuplicates
사용구분명 is highly imbalanced (97.1%)Imbalance
의료장비종류명 is highly imbalanced (99.9%)Imbalance
장치명칭 is highly imbalanced (52.8%)Imbalance
장치형태명 is highly imbalanced (55.8%)Imbalance
제조국가명 is highly imbalanced (77.4%)Imbalance
폐업일자 has 9817 (98.2%) missing valuesMissing
판매회사명 has 8023 (80.2%) missing valuesMissing

Reproduction

Analysis started2023-12-10 22:23:39.238875
Analysis finished2023-12-10 22:23:42.036817
Duration2.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
성남시
987 
수원시
969 
고양시
784 
용인시
734 
부천시
686 
Other values (26)
5840 

Length

Max length4
Median length3
Mean length3.0922
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row평택시
2nd row수원시
3rd row고양시
4th row광명시
5th row용인시

Common Values

ValueCountFrequency (%)
성남시 987
 
9.9%
수원시 969
 
9.7%
고양시 784
 
7.8%
용인시 734
 
7.3%
부천시 686
 
6.9%
안양시 601
 
6.0%
안산시 541
 
5.4%
남양주시 482
 
4.8%
화성시 466
 
4.7%
의정부시 369
 
3.7%
Other values (21) 3381
33.8%

Length

2023-12-11T07:23:42.096903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성남시 987
 
9.9%
수원시 969
 
9.7%
고양시 784
 
7.8%
용인시 734
 
7.3%
부천시 686
 
6.9%
안양시 601
 
6.0%
안산시 541
 
5.4%
남양주시 482
 
4.8%
화성시 466
 
4.7%
의정부시 369
 
3.7%
Other values (21) 3381
33.8%

사업장명
Text

Distinct5578
Distinct (%)55.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T07:23:42.331185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length7.5896
Min length3

Characters and Unicode

Total characters75896
Distinct characters603
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3385 ?
Unique (%)33.9%

Sample

1st row한주희정형외과의원
2nd row유펜치과의원
3rd row월화수목금토 치과의원
4th row지엠제일산부인과의원
5th row치클치과의원
ValueCountFrequency (%)
치과의원 58
 
0.6%
유디치과의원 37
 
0.4%
서울치과의원 37
 
0.4%
연세치과의원 28
 
0.3%
현대치과의원 26
 
0.3%
우리치과의원 24
 
0.2%
웰치과의원 22
 
0.2%
푸른치과의원 21
 
0.2%
본치과의원 21
 
0.2%
행복한치과의원 21
 
0.2%
Other values (5624) 9999
97.1%
2023-12-11T07:23:42.735527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 10038
 
13.2%
의 9760
 
12.9%
과 8848
 
11.7%
치 6024
 
7.9%
이 1291
 
1.7%
서 1054
 
1.4%
정 1020
 
1.3%
내 998
 
1.3%
세 996
 
1.3%
울 991
 
1.3%
Other values (593) 34876
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 74681
98.4%
Decimal Number 360
 
0.5%
Space Separator 294
 
0.4%
Uppercase Letter 259
 
0.3%
Lowercase Letter 122
 
0.2%
Dash Punctuation 55
 
0.1%
Open Punctuation 48
 
0.1%
Close Punctuation 48
 
0.1%
Other Punctuation 24
 
< 0.1%
Other Symbol 2
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 10038
 
13.4%
의 9760
 
13.1%
과 8848
 
11.8%
치 6024
 
8.1%
이 1291
 
1.7%
서 1054
 
1.4%
정 1020
 
1.4%
내 998
 
1.3%
세 996
 
1.3%
울 991
 
1.3%
Other values (540) 33661
45.1%
Uppercase Letter
ValueCountFrequency (%)
S 55
21.2%
E 18
 
6.9%
K 18
 
6.9%
C 17
 
6.6%
N 16
 
6.2%
T 15
 
5.8%
D 14
 
5.4%
U 13
 
5.0%
M 12
 
4.6%
O 11
 
4.2%
Other values (11) 70
27.0%
Lowercase Letter
ValueCountFrequency (%)
e 96
78.7%
h 8
 
6.6%
i 5
 
4.1%
n 3
 
2.5%
o 2
 
1.6%
r 2
 
1.6%
u 2
 
1.6%
b 1
 
0.8%
a 1
 
0.8%
y 1
 
0.8%
Decimal Number
ValueCountFrequency (%)
3 70
19.4%
5 67
18.6%
1 63
17.5%
6 49
13.6%
2 43
11.9%
7 25
 
6.9%
0 25
 
6.9%
9 10
 
2.8%
8 8
 
2.2%
Other Punctuation
ValueCountFrequency (%)
. 9
37.5%
& 9
37.5%
· 2
 
8.3%
/ 2
 
8.3%
, 2
 
8.3%
Space Separator
ValueCountFrequency (%)
294
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 74670
98.4%
Common 831
 
1.1%
Latin 382
 
0.5%
Han 13
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 10038
 
13.4%
의 9760
 
13.1%
과 8848
 
11.8%
치 6024
 
8.1%
이 1291
 
1.7%
서 1054
 
1.4%
정 1020
 
1.4%
내 998
 
1.3%
세 996
 
1.3%
울 991
 
1.3%
Other values (537) 33650
45.1%
Latin
ValueCountFrequency (%)
e 96
25.1%
S 55
14.4%
E 18
 
4.7%
K 18
 
4.7%
C 17
 
4.5%
N 16
 
4.2%
T 15
 
3.9%
D 14
 
3.7%
U 13
 
3.4%
M 12
 
3.1%
Other values (23) 108
28.3%
Common
ValueCountFrequency (%)
294
35.4%
3 70
 
8.4%
5 67
 
8.1%
1 63
 
7.6%
- 55
 
6.6%
6 49
 
5.9%
( 48
 
5.8%
) 48
 
5.8%
2 43
 
5.2%
7 25
 
3.0%
Other values (9) 69
 
8.3%
Han
ValueCountFrequency (%)
美 6
46.2%
林 3
23.1%
然 3
23.1%
人 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 74668
98.4%
ASCII 1210
 
1.6%
CJK 13
 
< 0.1%
None 4
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 10038
 
13.4%
의 9760
 
13.1%
과 8848
 
11.8%
치 6024
 
8.1%
이 1291
 
1.7%
서 1054
 
1.4%
정 1020
 
1.4%
내 998
 
1.3%
세 996
 
1.3%
울 991
 
1.3%
Other values (536) 33648
45.1%
ASCII
ValueCountFrequency (%)
294
24.3%
e 96
 
7.9%
3 70
 
5.8%
5 67
 
5.5%
1 63
 
5.2%
S 55
 
4.5%
- 55
 
4.5%
6 49
 
4.0%
( 48
 
4.0%
) 48
 
4.0%
Other values (40) 365
30.2%
CJK
ValueCountFrequency (%)
美 6
46.2%
林 3
23.1%
然 3
23.1%
人 1
 
7.7%
None
ValueCountFrequency (%)
· 2
50.0%
㈜ 2
50.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

인허가일자
Real number (ℝ)

Distinct3259
Distinct (%)32.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20114715
Minimum19860220
Maximum20170508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:23:42.877027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19860220
5-th percentile20020914
Q120090314
median20130313
Q320150901
95-th percentile20170120
Maximum20170508
Range310288
Interquartile range (IQR)60587.5

Descriptive statistics

Standard deviation47279.332
Coefficient of variation (CV)0.0023504848
Kurtosis1.2718286
Mean20114715
Median Absolute Deviation (MAD)29912
Skewness-1.158703
Sum2.0114715 × 1011
Variance2.2353352 × 109
MonotonicityNot monotonic
2023-12-11T07:23:43.006707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160610 17
 
0.2%
20170407 16
 
0.2%
20140107 15
 
0.1%
20170417 15
 
0.1%
20160121 15
 
0.1%
20170307 15
 
0.1%
20150526 15
 
0.1%
20161205 14
 
0.1%
20130404 14
 
0.1%
20160913 14
 
0.1%
Other values (3249) 9850
98.5%
ValueCountFrequency (%)
19860220 1
 
< 0.1%
19870512 2
< 0.1%
19880507 1
 
< 0.1%
19880521 1
 
< 0.1%
19900503 2
< 0.1%
19901203 1
 
< 0.1%
19910607 1
 
< 0.1%
19920421 1
 
< 0.1%
19920827 1
 
< 0.1%
19930820 4
< 0.1%
ValueCountFrequency (%)
20170508 4
 
< 0.1%
20170506 1
 
< 0.1%
20170504 6
0.1%
20170502 7
0.1%
20170501 11
0.1%
20170428 4
 
< 0.1%
20170427 12
0.1%
20170426 5
0.1%
20170425 11
0.1%
20170424 11
0.1%

영업상태명
Categorical

CONSTANT 

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

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 10000
100.0%

Length

2023-12-11T07:23:43.143311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:23:43.242402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 10000
100.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)35.0%
Missing9817
Missing (%)98.2%
Infinite0
Infinite (%)0.0%
Mean69884147
Minimum20071012
Maximum99991231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:23:43.346626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20071012
5-th percentile20111677
Q120160614
median99991231
Q399991231
95-th percentile99991231
Maximum99991231
Range79920219
Interquartile range (IQR)79830618

Descriptive statistics

Standard deviation38804890
Coefficient of variation (CV)0.55527457
Kurtosis-1.7576094
Mean69884147
Median Absolute Deviation (MAD)0
Skewness-0.51158591
Sum1.2788799 × 1010
Variance1.5058195 × 1015
MonotonicityNot monotonic
2023-12-11T07:23:43.482666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99991231 114
 
1.1%
20160602 2
 
< 0.1%
20130329 2
 
< 0.1%
20170501 2
 
< 0.1%
20120614 2
 
< 0.1%
20170418 2
 
< 0.1%
20170303 2
 
< 0.1%
20130129 1
 
< 0.1%
20140326 1
 
< 0.1%
20170201 1
 
< 0.1%
Other values (54) 54
 
0.5%
(Missing) 9817
98.2%
ValueCountFrequency (%)
20071012 1
< 0.1%
20090618 1
< 0.1%
20100421 1
< 0.1%
20100426 1
< 0.1%
20100720 1
< 0.1%
20101020 1
< 0.1%
20101101 1
< 0.1%
20110317 1
< 0.1%
20110418 1
< 0.1%
20110718 1
< 0.1%
ValueCountFrequency (%)
99991231 114
1.1%
20170501 2
 
< 0.1%
20170421 1
 
< 0.1%
20170420 1
 
< 0.1%
20170418 2
 
< 0.1%
20170303 2
 
< 0.1%
20170223 1
 
< 0.1%
20170222 1
 
< 0.1%
20170201 1
 
< 0.1%
20161230 1
 
< 0.1%

사용구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
사용중
9926 
기타
 
69
양도양수
 
3
<NA>
 
1
사용중지
 
1

Length

Max length4
Median length3
Mean length2.9936
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
사용중 9926
99.3%
기타 69
 
0.7%
양도양수 3
 
< 0.1%
<NA> 1
 
< 0.1%
사용중지 1
 
< 0.1%

Length

2023-12-11T07:23:43.661605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:23:43.811290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중 9926
99.3%
기타 69
 
0.7%
양도양수 3
 
< 0.1%
na 1
 
< 0.1%
사용중지 1
 
< 0.1%

신고일자
Real number (ℝ)

Distinct3259
Distinct (%)32.6%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean20114717
Minimum19860220
Maximum20170508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:23:43.948755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19860220
5-th percentile20020914
Q120090313
median20130313
Q320150901
95-th percentile20170120
Maximum20170508
Range310288
Interquartile range (IQR)60588

Descriptive statistics

Standard deviation47281.072
Coefficient of variation (CV)0.002350571
Kurtosis1.2718581
Mean20114717
Median Absolute Deviation (MAD)29912
Skewness-1.1588316
Sum2.0112706 × 1011
Variance2.2354998 × 109
MonotonicityNot monotonic
2023-12-11T07:23:44.110990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160610 17
 
0.2%
20170407 16
 
0.2%
20140107 15
 
0.1%
20170417 15
 
0.1%
20160121 15
 
0.1%
20150526 15
 
0.1%
20170307 15
 
0.1%
20161107 14
 
0.1%
20130404 14
 
0.1%
20160927 14
 
0.1%
Other values (3249) 9849
98.5%
ValueCountFrequency (%)
19860220 1
 
< 0.1%
19870512 2
< 0.1%
19880507 1
 
< 0.1%
19880521 1
 
< 0.1%
19900503 2
< 0.1%
19901203 1
 
< 0.1%
19910607 1
 
< 0.1%
19920421 1
 
< 0.1%
19920827 1
 
< 0.1%
19930820 4
< 0.1%
ValueCountFrequency (%)
20170508 4
 
< 0.1%
20170506 1
 
< 0.1%
20170504 6
0.1%
20170502 7
0.1%
20170501 11
0.1%
20170428 4
 
< 0.1%
20170427 12
0.1%
20170426 5
0.1%
20170425 11
0.1%
20170424 11
0.1%

의료장비종류명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
진단용방사선발생장치
9999 
<NA>
 
1

Length

Max length10
Median length10
Mean length9.9994
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
진단용방사선발생장치 9999
> 99.9%
<NA> 1
 
< 0.1%

Length

2023-12-11T07:23:44.256201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:23:44.363250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
진단용방사선발생장치 9999
> 99.9%
na 1
 
< 0.1%

장치명칭
Categorical

IMBALANCE 

Distinct45
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
치과진단용 엑스선 발생장치
3705 
진단용 엑스선 발생기
2173 
진단용 엑스선 장치
1727 
치과용 전산화 단층 촬영장치
1314 
전산화 단층 촬영장치
 
207
Other values (40)
874 

Length

Max length19
Median length18
Mean length12.4049
Min length4

Unique

Unique10 ?
Unique (%)0.1%

Sample

1st row진단용 엑스선 장치
2nd row치과진단용 엑스선 발생장치
3rd row전산화 단층 촬영장치
4th row유방촬영용엑스선장치
5th row치과용 전산화 단층 촬영장치

Common Values

ValueCountFrequency (%)
치과진단용 엑스선 발생장치 3705
37.0%
진단용 엑스선 발생기 2173
21.7%
진단용 엑스선 장치 1727
17.3%
치과용 전산화 단층 촬영장치 1314
 
13.1%
전산화 단층 촬영장치 207
 
2.1%
치과진단용엑스선발생장치 150
 
1.5%
유방촬영용장치 148
 
1.5%
유방촬영용 장치 123
 
1.2%
이비인후과용 전산화 단층 촬영장치 80
 
0.8%
진단용엑스선장치 74
 
0.7%
Other values (35) 299
 
3.0%

Length

2023-12-11T07:23:44.480460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
엑스선 7605
25.4%
진단용 3900
13.0%
치과진단용 3707
12.4%
발생장치 3705
12.4%
발생기 2173
 
7.3%
장치 1870
 
6.2%
전산화 1602
 
5.3%
단층 1602
 
5.3%
촬영장치 1602
 
5.3%
치과용 1314
 
4.4%
Other values (39) 884
 
3.0%

장치모델명
Text

Distinct1047
Distinct (%)10.5%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-11T07:23:44.761479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length63
Mean length9.3209321
Min length2

Characters and Unicode

Total characters93200
Distinct characters96
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique534 ?
Unique (%)5.3%

Sample

1st rowSIG-40-525
2nd rowAnyRay
3rd rowPax-Flex3D
4th rowMF-150S
5th rowVolux
ValueCountFrequency (%)
max-gls 474
 
3.3%
pht-30lfo 434
 
3.0%
dexxum 371
 
2.6%
t 368
 
2.6%
esx 364
 
2.5%
point 361
 
2.5%
orthophos 283
 
2.0%
3d 280
 
1.9%
combi 211
 
1.5%
pax-400c 191
 
1.3%
Other values (1042) 11090
76.9%
2023-12-11T07:23:45.190125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7087
 
7.6%
- 6730
 
7.2%
X 5299
 
5.7%
4430
 
4.8%
R 4055
 
4.4%
D 3773
 
4.0%
S 3736
 
4.0%
P 3609
 
3.9%
E 3184
 
3.4%
A 2715
 
2.9%
Other values (86) 48582
52.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 46386
49.8%
Lowercase Letter 18345
 
19.7%
Decimal Number 16445
 
17.6%
Dash Punctuation 6730
 
7.2%
Space Separator 4430
 
4.8%
Letter Number 307
 
0.3%
Other Letter 217
 
0.2%
Other Punctuation 132
 
0.1%
Open Punctuation 83
 
0.1%
Close Punctuation 83
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
X 5299
11.4%
R 4055
 
8.7%
D 3773
 
8.1%
S 3736
 
8.1%
P 3609
 
7.8%
E 3184
 
6.9%
A 2715
 
5.9%
T 2687
 
5.8%
O 2458
 
5.3%
H 2228
 
4.8%
Other values (16) 12642
27.3%
Lowercase Letter
ValueCountFrequency (%)
o 2345
12.8%
a 2333
12.7%
i 1613
 
8.8%
r 1325
 
7.2%
t 1201
 
6.5%
n 1143
 
6.2%
y 1106
 
6.0%
m 984
 
5.4%
p 912
 
5.0%
e 847
 
4.6%
Other values (16) 4536
24.7%
Other Letter
ValueCountFrequency (%)
제 60
27.6%
우 60
27.6%
스 60
27.6%
표 9
 
4.1%
시 9
 
4.1%
무 9
 
4.1%
형 2
 
0.9%
또 1
 
0.5%
는 1
 
0.5%
보 1
 
0.5%
Other values (5) 5
 
2.3%
Decimal Number
ValueCountFrequency (%)
0 7087
43.1%
5 2320
 
14.1%
3 2125
 
12.9%
2 1783
 
10.8%
1 1151
 
7.0%
6 757
 
4.6%
4 425
 
2.6%
8 325
 
2.0%
9 276
 
1.7%
7 196
 
1.2%
Other Punctuation
ValueCountFrequency (%)
/ 100
75.8%
& 19
 
14.4%
, 7
 
5.3%
. 3
 
2.3%
＆ 2
 
1.5%
: 1
 
0.8%
Letter Number
ValueCountFrequency (%)
Ⅱ 258
84.0%
Ⅲ 40
 
13.0%
Ⅰ 5
 
1.6%
Ⅳ 3
 
1.0%
ⅲ 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 79
95.2%
[ 4
 
4.8%
Close Punctuation
ValueCountFrequency (%)
) 79
95.2%
] 4
 
4.8%
Math Symbol
ValueCountFrequency (%)
+ 40
95.2%
∥ 2
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 6730
100.0%
Space Separator
ValueCountFrequency (%)
4430
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 65027
69.8%
Common 27945
30.0%
Hangul 217
 
0.2%
Greek 11
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
X 5299
 
8.1%
R 4055
 
6.2%
D 3773
 
5.8%
S 3736
 
5.7%
P 3609
 
5.6%
E 3184
 
4.9%
A 2715
 
4.2%
T 2687
 
4.1%
O 2458
 
3.8%
o 2345
 
3.6%
Other values (46) 31166
47.9%
Common
ValueCountFrequency (%)
0 7087
25.4%
- 6730
24.1%
4430
15.9%
5 2320
 
8.3%
3 2125
 
7.6%
2 1783
 
6.4%
1 1151
 
4.1%
6 757
 
2.7%
4 425
 
1.5%
8 325
 
1.2%
Other values (14) 812
 
2.9%
Hangul
ValueCountFrequency (%)
제 60
27.6%
우 60
27.6%
스 60
27.6%
표 9
 
4.1%
시 9
 
4.1%
무 9
 
4.1%
형 2
 
0.9%
또 1
 
0.5%
는 1
 
0.5%
보 1
 
0.5%
Other values (5) 5
 
2.3%
Greek
ValueCountFrequency (%)
α 11
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 92661
99.4%
Number Forms 307
 
0.3%
Hangul 217
 
0.2%
None 13
 
< 0.1%
Math Operators 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7087
 
7.6%
- 6730
 
7.3%
X 5299
 
5.7%
4430
 
4.8%
R 4055
 
4.4%
D 3773
 
4.1%
S 3736
 
4.0%
P 3609
 
3.9%
E 3184
 
3.4%
A 2715
 
2.9%
Other values (63) 48043
51.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 258
84.0%
Ⅲ 40
 
13.0%
Ⅰ 5
 
1.6%
Ⅳ 3
 
1.0%
ⅲ 1
 
0.3%
Hangul
ValueCountFrequency (%)
제 60
27.6%
우 60
27.6%
스 60
27.6%
표 9
 
4.1%
시 9
 
4.1%
무 9
 
4.1%
형 2
 
0.9%
또 1
 
0.5%
는 1
 
0.5%
보 1
 
0.5%
Other values (5) 5
 
2.3%
None
ValueCountFrequency (%)
α 11
84.6%
＆ 2
 
15.4%
Math Operators
ValueCountFrequency (%)
∥ 2
100.0%

장치상태명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
신제품
6902 
중고제품
2564 
기타
 
455
<NA>
 
79

Length

Max length4
Median length3
Mean length3.2188
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신제품 6902
69.0%
중고제품 2564
 
25.6%
기타 455
 
4.5%
<NA> 79
 
0.8%

Length

2023-12-11T07:23:45.323309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:23:45.421798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신제품 6902
69.0%
중고제품 2564
 
25.6%
기타 455
 
4.5%
na 79
 
0.8%

장치용도명
Categorical

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
치과일반
2499 
일반
2142 
치과용 파노라마
1367 
치과용CT 및 파노라마
680 
골밀도
676 
Other values (15)
2636 

Length

Max length12
Median length9
Mean length4.745
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반
2nd row치과일반
3rd row단층 및 파노라마
4th row유방촬영
5th row치과용CT

Common Values

ValueCountFrequency (%)
치과일반 2499
25.0%
일반 2142
21.4%
치과용 파노라마 1367
13.7%
치과용CT 및 파노라마 680
 
6.8%
골밀도 676
 
6.8%
치과용CT 606
 
6.1%
C-arm 424
 
4.2%
파노라마 393
 
3.9%
이동용 378
 
3.8%
유방촬영 292
 
2.9%
Other values (10) 543
 
5.4%

Length

2023-12-11T07:23:45.523845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
치과일반 2499
18.9%
파노라마 2459
18.6%
일반 2142
16.2%
치과용 1367
10.4%
치과용ct 1286
9.7%
및 866
 
6.6%
골밀도 676
 
5.1%
c-arm 424
 
3.2%
이동용 378
 
2.9%
유방촬영 292
 
2.2%
Other values (11) 806
 
6.1%

장치형식내용
Text

Distinct582
Distinct (%)5.8%
Missing2
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-11T07:23:45.751827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length46
Mean length8.4210842
Min length3

Characters and Unicode

Total characters84194
Distinct characters84
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique343 ?
Unique (%)3.4%

Sample

1st rowR-500-125
2nd rowHR-60-P
3rd rowDCTP-90-P
4th rowMR-150-35
5th rowDCT-85-P
ValueCountFrequency (%)
hr-60-p 963
 
9.6%
dp-90-p 913
 
9.1%
d-60-p 676
 
6.7%
r-500-125 625
 
6.2%
dctp-90-p 536
 
5.4%
d-65-p 442
 
4.4%
dctp-99-p 425
 
4.2%
dp-80-p 397
 
4.0%
r-300-125 396
 
4.0%
hrf-110-p 312
 
3.1%
Other values (546) 4332
43.2%
2023-12-11T07:23:46.108165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 21068
25.0%
0 11289
13.4%
P 10943
13.0%
R 5305
 
6.3%
D 4961
 
5.9%
1 4743
 
5.6%
5 3890
 
4.6%
9 3148
 
3.7%
H 3135
 
3.7%
6 2765
 
3.3%
Other values (74) 12947
15.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31452
37.4%
Uppercase Letter 30439
36.2%
Dash Punctuation 21068
25.0%
Open Punctuation 535
 
0.6%
Close Punctuation 535
 
0.6%
Lowercase Letter 105
 
0.1%
Other Letter 33
 
< 0.1%
Space Separator 19
 
< 0.1%
Other Punctuation 8
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
P 10943
36.0%
R 5305
17.4%
D 4961
16.3%
H 3135
 
10.3%
C 1739
 
5.7%
T 1713
 
5.6%
B 814
 
2.7%
F 752
 
2.5%
M 318
 
1.0%
S 303
 
1.0%
Other values (14) 456
 
1.5%
Other Letter
ValueCountFrequency (%)
표 3
 
9.1%
시 3
 
9.1%
무 3
 
9.1%
수 2
 
6.1%
치 2
 
6.1%
형 2
 
6.1%
정 2
 
6.1%
단 1
 
3.0%
층 1
 
3.0%
촬 1
 
3.0%
Other values (13) 13
39.4%
Lowercase Letter
ValueCountFrequency (%)
p 77
73.3%
w 3
 
2.9%
d 3
 
2.9%
t 3
 
2.9%
c 3
 
2.9%
i 3
 
2.9%
o 2
 
1.9%
v 2
 
1.9%
y 2
 
1.9%
n 2
 
1.9%
Other values (4) 5
 
4.8%
Decimal Number
ValueCountFrequency (%)
0 11289
35.9%
1 4743
15.1%
5 3890
 
12.4%
9 3148
 
10.0%
6 2765
 
8.8%
2 2038
 
6.5%
8 1549
 
4.9%
3 1309
 
4.2%
7 480
 
1.5%
4 241
 
0.8%
Open Punctuation
ValueCountFrequency (%)
( 523
97.8%
[ 10
 
1.9%
［ 1
 
0.2%
〔 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 523
97.8%
] 10
 
1.9%
〕 1
 
0.2%
］ 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
. 4
50.0%
/ 3
37.5%
, 1
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 21068
100.0%
Space Separator
ValueCountFrequency (%)
19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 53617
63.7%
Latin 30544
36.3%
Hangul 33
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
P 10943
35.8%
R 5305
17.4%
D 4961
16.2%
H 3135
 
10.3%
C 1739
 
5.7%
T 1713
 
5.6%
B 814
 
2.7%
F 752
 
2.5%
M 318
 
1.0%
S 303
 
1.0%
Other values (28) 561
 
1.8%
Common
ValueCountFrequency (%)
- 21068
39.3%
0 11289
21.1%
1 4743
 
8.8%
5 3890
 
7.3%
9 3148
 
5.9%
6 2765
 
5.2%
2 2038
 
3.8%
8 1549
 
2.9%
3 1309
 
2.4%
( 523
 
1.0%
Other values (13) 1295
 
2.4%
Hangul
ValueCountFrequency (%)
표 3
 
9.1%
시 3
 
9.1%
무 3
 
9.1%
수 2
 
6.1%
치 2
 
6.1%
형 2
 
6.1%
정 2
 
6.1%
단 1
 
3.0%
층 1
 
3.0%
촬 1
 
3.0%
Other values (13) 13
39.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 84157
> 99.9%
Hangul 33
 
< 0.1%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 21068
25.0%
0 11289
13.4%
P 10943
13.0%
R 5305
 
6.3%
D 4961
 
5.9%
1 4743
 
5.6%
5 3890
 
4.6%
9 3148
 
3.7%
H 3135
 
3.7%
6 2765
 
3.3%
Other values (47) 12910
15.3%
Hangul
ValueCountFrequency (%)
표 3
 
9.1%
시 3
 
9.1%
무 3
 
9.1%
수 2
 
6.1%
치 2
 
6.1%
형 2
 
6.1%
정 2
 
6.1%
단 1
 
3.0%
층 1
 
3.0%
촬 1
 
3.0%
Other values (13) 13
39.4%
None
ValueCountFrequency (%)
［ 1
25.0%
〕 1
25.0%
〔 1
25.0%
］ 1
25.0%

장치형태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
거치형
8317 
이동형
1604 
<NA>
 
79

Length

Max length4
Median length3
Mean length3.0079
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row거치형
2nd row거치형
3rd row거치형
4th row이동형
5th row거치형

Common Values

ValueCountFrequency (%)
거치형 8317
83.2%
이동형 1604
 
16.0%
<NA> 79
 
0.8%

Length

2023-12-11T07:23:46.229686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:23:46.315980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
거치형 8317
83.2%
이동형 1604
 
16.0%
na 79
 
0.8%

제조국가명
Categorical

IMBALANCE 

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
대한민국
8636 
독일
 
338
핀란드
 
270
일본
 
245
프랑스
 
201
Other values (14)
 
310

Length

Max length4
Median length4
Mean length3.7959
Min length2

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
대한민국 8636
86.4%
독일 338
 
3.4%
핀란드 270
 
2.7%
일본 245
 
2.5%
프랑스 201
 
2.0%
미국 136
 
1.4%
이탈리아 82
 
0.8%
중국 38
 
0.4%
터키 14
 
0.1%
덴마크 14
 
0.1%
Other values (9) 26
 
0.3%

Length

2023-12-11T07:23:46.470727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대한민국 8636
86.4%
독일 338
 
3.4%
핀란드 270
 
2.7%
일본 245
 
2.5%
프랑스 201
 
2.0%
미국 136
 
1.4%
이탈리아 82
 
0.8%
중국 38
 
0.4%
덴마크 14
 
0.1%
터키 14
 
0.1%
Other values (9) 26
 
0.3%

제조번호
Text

Distinct9861
Distinct (%)98.6%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-11T07:23:46.759680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length9.2976298
Min length1

Characters and Unicode

Total characters92967
Distinct characters78
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

Unique9807 ?
Unique (%)98.1%

Sample

1st rowECO-R4-1404169
2nd rowAR2-C1638-E103
3rd row041-0460
4th rowBMF-26148
5th rowGCT-040201-70113
ValueCountFrequency (%)
표시무 46
 
0.5%
45
 
0.4%
ah1ff 38
 
0.4%
ah1fe 14
 
0.1%
am1aa 5
 
< 0.1%
aq1aa 4
 
< 0.1%
ar2-c 4
 
< 0.1%
확인불가 3
 
< 0.1%
xsm 3
 
< 0.1%
ar2-b 3
 
< 0.1%
Other values (9895) 9952
98.4%
2023-12-11T07:23:47.132221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 17969
19.3%
1 12368
13.3%
2 6809
 
7.3%
- 5814
 
6.3%
3 5357
 
5.8%
4 4872
 
5.2%
5 4741
 
5.1%
6 4124
 
4.4%
7 3473
 
3.7%
9 3229
 
3.5%
Other values (68) 24211
26.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 66051
71.0%
Uppercase Letter 19989
 
21.5%
Dash Punctuation 5814
 
6.3%
Other Punctuation 483
 
0.5%
Lowercase Letter 326
 
0.4%
Other Letter 156
 
0.2%
Space Separator 119
 
0.1%
Close Punctuation 13
 
< 0.1%
Open Punctuation 13
 
< 0.1%
Connector Punctuation 3
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 2316
 
11.6%
P 1639
 
8.2%
D 1534
 
7.7%
N 1358
 
6.8%
R 1237
 
6.2%
X 1163
 
5.8%
G 1118
 
5.6%
B 1056
 
5.3%
C 1044
 
5.2%
S 993
 
5.0%
Other values (16) 6531
32.7%
Lowercase Letter
ValueCountFrequency (%)
c 92
28.2%
a 89
27.3%
m 83
25.5%
p 9
 
2.8%
l 7
 
2.1%
o 5
 
1.5%
s 5
 
1.5%
r 4
 
1.2%
k 4
 
1.2%
e 4
 
1.2%
Other values (10) 24
 
7.4%
Decimal Number
ValueCountFrequency (%)
0 17969
27.2%
1 12368
18.7%
2 6809
 
10.3%
3 5357
 
8.1%
4 4872
 
7.4%
5 4741
 
7.2%
6 4124
 
6.2%
7 3473
 
5.3%
9 3229
 
4.9%
8 3109
 
4.7%
Other Letter
ValueCountFrequency (%)
시 47
30.1%
무 47
30.1%
표 47
30.1%
확 3
 
1.9%
가 3
 
1.9%
인 3
 
1.9%
불 3
 
1.9%
바 1
 
0.6%
텍 1
 
0.6%
주 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
* 457
94.6%
& 17
 
3.5%
/ 7
 
1.4%
＆ 1
 
0.2%
. 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 8
61.5%
] 5
38.5%
Open Punctuation
ValueCountFrequency (%)
( 8
61.5%
[ 5
38.5%
Dash Punctuation
ValueCountFrequency (%)
- 5814
100.0%
Space Separator
ValueCountFrequency (%)
119
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 72496
78.0%
Latin 20315
 
21.9%
Hangul 156
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 2316
 
11.4%
P 1639
 
8.1%
D 1534
 
7.6%
N 1358
 
6.7%
R 1237
 
6.1%
X 1163
 
5.7%
G 1118
 
5.5%
B 1056
 
5.2%
C 1044
 
5.1%
S 993
 
4.9%
Other values (36) 6857
33.8%
Common
ValueCountFrequency (%)
0 17969
24.8%
1 12368
17.1%
2 6809
 
9.4%
- 5814
 
8.0%
3 5357
 
7.4%
4 4872
 
6.7%
5 4741
 
6.5%
6 4124
 
5.7%
7 3473
 
4.8%
9 3229
 
4.5%
Other values (12) 3740
 
5.2%
Hangul
ValueCountFrequency (%)
시 47
30.1%
무 47
30.1%
표 47
30.1%
확 3
 
1.9%
가 3
 
1.9%
인 3
 
1.9%
불 3
 
1.9%
바 1
 
0.6%
텍 1
 
0.6%
주 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 92810
99.8%
Hangul 156
 
0.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 17969
19.4%
1 12368
13.3%
2 6809
 
7.3%
- 5814
 
6.3%
3 5357
 
5.8%
4 4872
 
5.2%
5 4741
 
5.1%
6 4124
 
4.4%
7 3473
 
3.7%
9 3229
 
3.5%
Other values (57) 24054
25.9%
Hangul
ValueCountFrequency (%)
시 47
30.1%
무 47
30.1%
표 47
30.1%
확 3
 
1.9%
가 3
 
1.9%
인 3
 
1.9%
불 3
 
1.9%
바 1
 
0.6%
텍 1
 
0.6%
주 1
 
0.6%
None
ValueCountFrequency (%)
＆ 1
100.0%

제조사명
Text

Distinct871
Distinct (%)8.7%
Missing11
Missing (%)0.1%
Memory size156.2 KiB
2023-12-11T07:23:47.391786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length46
Mean length5.6144759
Min length2

Characters and Unicode

Total characters56083
Distinct characters272
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

Unique491 ?
Unique (%)4.9%

Sample

1st rowECO Ray
2nd row이우테크놀리지
3rd row바텍
4th rowBENNETT
5th row(주)제노레이
ValueCountFrequency (%)
바텍 1297
 
12.1%
주)바텍 617
 
5.7%
신흥 398
 
3.7%
제노레이 342
 
3.2%
주)제노레이 319
 
3.0%
리스템 316
 
2.9%
에이치디엑스윌 282
 
2.6%
주)오스테오시스 274
 
2.6%
sirona 266
 
2.5%
동아 248
 
2.3%
Other values (774) 6385
59.4%
2023-12-11T07:23:47.819952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 3249
 
5.8%
) 2896
 
5.2%
주 2892
 
5.2%
( 2796
 
5.0%
텍 2200
 
3.9%
바 2040
 
3.6%
이 1671
 
3.0%
디 1416
 
2.5%
메 989
 
1.8%
오 935
 
1.7%
Other values (262) 34999
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35208
62.8%
Uppercase Letter 10023
 
17.9%
Lowercase Letter 3918
 
7.0%
Close Punctuation 2896
 
5.2%
Open Punctuation 2796
 
5.0%
Space Separator 755
 
1.3%
Other Symbol 190
 
0.3%
Other Punctuation 167
 
0.3%
Dash Punctuation 83
 
0.1%
Math Symbol 26
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 3249
 
9.2%
주 2892
 
8.2%
텍 2200
 
6.2%
바 2040
 
5.8%
이 1671
 
4.7%
디 1416
 
4.0%
메 989
 
2.8%
오 935
 
2.7%
레 899
 
2.6%
동 885
 
2.5%
Other values (196) 18032
51.2%
Uppercase Letter
ValueCountFrequency (%)
I 878
 
8.8%
E 872
 
8.7%
A 859
 
8.6%
S 823
 
8.2%
R 750
 
7.5%
O 743
 
7.4%
N 719
 
7.2%
D 603
 
6.0%
T 526
 
5.2%
M 508
 
5.1%
Other values (16) 2742
27.4%
Lowercase Letter
ValueCountFrequency (%)
a 499
12.7%
e 450
11.5%
t 346
8.8%
r 334
8.5%
n 312
8.0%
m 297
 
7.6%
s 257
 
6.6%
l 236
 
6.0%
i 216
 
5.5%
o 207
 
5.3%
Other values (14) 764
19.5%
Other Punctuation
ValueCountFrequency (%)
. 92
55.1%
, 69
41.3%
/ 2
 
1.2%
· 2
 
1.2%
& 2
 
1.2%
Decimal Number
ValueCountFrequency (%)
0 10
47.6%
2 7
33.3%
9 2
 
9.5%
8 1
 
4.8%
1 1
 
4.8%
Close Punctuation
ValueCountFrequency (%)
) 2896
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2796
100.0%
Space Separator
ValueCountFrequency (%)
755
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 190
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 83
100.0%
Math Symbol
ValueCountFrequency (%)
+ 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35398
63.1%
Latin 13941
 
24.9%
Common 6744
 
12.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 3249
 
9.2%
주 2892
 
8.2%
텍 2200
 
6.2%
바 2040
 
5.8%
이 1671
 
4.7%
디 1416
 
4.0%
메 989
 
2.8%
오 935
 
2.6%
레 899
 
2.5%
동 885
 
2.5%
Other values (197) 18222
51.5%
Latin
ValueCountFrequency (%)
I 878
 
6.3%
E 872
 
6.3%
A 859
 
6.2%
S 823
 
5.9%
R 750
 
5.4%
O 743
 
5.3%
N 719
 
5.2%
D 603
 
4.3%
T 526
 
3.8%
M 508
 
3.6%
Other values (40) 6660
47.8%
Common
ValueCountFrequency (%)
) 2896
42.9%
( 2796
41.5%
755
 
11.2%
. 92
 
1.4%
- 83
 
1.2%
, 69
 
1.0%
+ 26
 
0.4%
0 10
 
0.1%
2 7
 
0.1%
/ 2
 
< 0.1%
Other values (5) 8
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35208
62.8%
ASCII 20683
36.9%
None 192
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 3249
 
9.2%
주 2892
 
8.2%
텍 2200
 
6.2%
바 2040
 
5.8%
이 1671
 
4.7%
디 1416
 
4.0%
메 989
 
2.8%
오 935
 
2.7%
레 899
 
2.6%
동 885
 
2.5%
Other values (196) 18032
51.2%
ASCII
ValueCountFrequency (%)
) 2896
 
14.0%
( 2796
 
13.5%
I 878
 
4.2%
E 872
 
4.2%
A 859
 
4.2%
S 823
 
4.0%
755
 
3.7%
R 750
 
3.6%
O 743
 
3.6%
N 719
 
3.5%
Other values (54) 8592
41.5%
None
ValueCountFrequency (%)
㈜ 190
99.0%
· 2
 
1.0%

판매회사명
Text

MISSING 

Distinct645
Distinct (%)32.6%
Missing8023
Missing (%)80.2%
Memory size156.2 KiB
2023-12-11T07:23:48.085219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length19
Mean length5.7536672
Min length1

Characters and Unicode

Total characters11375
Distinct characters358
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

Unique390 ?
Unique (%)19.7%

Sample

1st row미소하나치과의원
2nd row아이덴탈
3rd row플랜메카
4th row메드스타
5th row(주)리스템
ValueCountFrequency (%)
바텍 119
 
5.8%
주)바텍 97
 
4.7%
주)바텍코리아 72
 
3.5%
바텍코리아 65
 
3.2%
주)신흥 58
 
2.8%
신흥 55
 
2.7%
포인트닉스 54
 
2.6%
주)제노레이 38
 
1.8%
주)오스테오시스 32
 
1.6%
주)리스템 30
 
1.5%
Other values (636) 1437
69.9%
2023-12-11T07:23:48.508636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 685
 
6.0%
) 648
 
5.7%
( 634
 
5.6%
스 625
 
5.5%
디 521
 
4.6%
텍 467
 
4.1%
메 454
 
4.0%
바 376
 
3.3%
이 305
 
2.7%
아 278
 
2.4%
Other values (348) 6382
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9420
82.8%
Close Punctuation 648
 
5.7%
Open Punctuation 634
 
5.6%
Uppercase Letter 397
 
3.5%
Lowercase Letter 144
 
1.3%
Space Separator 80
 
0.7%
Other Punctuation 25
 
0.2%
Decimal Number 18
 
0.2%
Dash Punctuation 5
 
< 0.1%
Other Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 685
 
7.3%
스 625
 
6.6%
디 521
 
5.5%
텍 467
 
5.0%
메 454
 
4.8%
바 376
 
4.0%
이 305
 
3.2%
아 278
 
3.0%
리 251
 
2.7%
칼 244
 
2.6%
Other values (292) 5214
55.4%
Uppercase Letter
ValueCountFrequency (%)
D 61
15.4%
H 42
10.6%
X 38
9.6%
L 37
9.3%
K 35
 
8.8%
M 26
 
6.5%
E 23
 
5.8%
S 16
 
4.0%
T 15
 
3.8%
I 14
 
3.5%
Other values (12) 90
22.7%
Lowercase Letter
ValueCountFrequency (%)
e 24
16.7%
a 16
11.1%
o 14
9.7%
r 14
9.7%
l 13
9.0%
i 12
8.3%
d 8
 
5.6%
m 7
 
4.9%
t 7
 
4.9%
w 6
 
4.2%
Other values (8) 23
16.0%
Decimal Number
ValueCountFrequency (%)
0 6
33.3%
2 6
33.3%
5 1
 
5.6%
7 1
 
5.6%
8 1
 
5.6%
4 1
 
5.6%
1 1
 
5.6%
3 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
& 16
64.0%
. 9
36.0%
Close Punctuation
ValueCountFrequency (%)
) 648
100.0%
Open Punctuation
ValueCountFrequency (%)
( 634
100.0%
Space Separator
ValueCountFrequency (%)
80
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9423
82.8%
Common 1411
 
12.4%
Latin 541
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 685
 
7.3%
스 625
 
6.6%
디 521
 
5.5%
텍 467
 
5.0%
메 454
 
4.8%
바 376
 
4.0%
이 305
 
3.2%
아 278
 
3.0%
리 251
 
2.7%
칼 244
 
2.6%
Other values (293) 5217
55.4%
Latin
ValueCountFrequency (%)
D 61
 
11.3%
H 42
 
7.8%
X 38
 
7.0%
L 37
 
6.8%
K 35
 
6.5%
M 26
 
4.8%
e 24
 
4.4%
E 23
 
4.3%
S 16
 
3.0%
a 16
 
3.0%
Other values (30) 223
41.2%
Common
ValueCountFrequency (%)
) 648
45.9%
( 634
44.9%
80
 
5.7%
& 16
 
1.1%
. 9
 
0.6%
0 6
 
0.4%
2 6
 
0.4%
- 5
 
0.4%
+ 1
 
0.1%
5 1
 
0.1%
Other values (5) 5
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9420
82.8%
ASCII 1952
 
17.2%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 685
 
7.3%
스 625
 
6.6%
디 521
 
5.5%
텍 467
 
5.0%
메 454
 
4.8%
바 376
 
4.0%
이 305
 
3.2%
아 278
 
3.0%
리 251
 
2.7%
칼 244
 
2.6%
Other values (292) 5214
55.4%
ASCII
ValueCountFrequency (%)
) 648
33.2%
( 634
32.5%
80
 
4.1%
D 61
 
3.1%
H 42
 
2.2%
X 38
 
1.9%
L 37
 
1.9%
K 35
 
1.8%
M 26
 
1.3%
e 24
 
1.2%
Other values (45) 327
16.8%
None
ValueCountFrequency (%)
㈜ 3
100.0%

소재지도로명주소
Text

Distinct7756
Distinct (%)77.9%
Missing44
Missing (%)0.4%
Memory size156.2 KiB
2023-12-11T07:23:49.045762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length58
Mean length32.655484
Min length14

Characters and Unicode

Total characters325118
Distinct characters594
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5847 ?
Unique (%)58.7%

Sample

1st row경기도 평택시 평택4로 39, 2층 (합정동, 골든브릿지캐피탈)
2nd row경기도 수원시 팔달구 매산로 9 (매산로1가,3층)
3rd row경기도 고양시 일산동구 중앙로1275번길 38-15 (장항동)
4th row경기도 광명시 광명로 896, 7,8,9층 (광명동, 해솔타워)
5th row경기도 용인시 처인구 중부대로 1309, 2층 (역북동, 낙원빌딩)
ValueCountFrequency (%)
경기도 9956
 
14.6%
2층 1210
 
1.8%
3층 1010
 
1.5%
성남시 982
 
1.4%
수원시 966
 
1.4%
고양시 781
 
1.1%
용인시 715
 
1.1%
부천시 686
 
1.0%
안양시 600
 
0.9%
4층 544
 
0.8%
Other values (7271) 50557
74.3%
2023-12-11T07:23:49.522645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
58086
 
17.9%
, 12910
 
4.0%
동 10792
 
3.3%
경 10509
 
3.2%
시 10478
 
3.2%
기 10464
 
3.2%
도 10324
 
3.2%
로 9841
 
3.0%
) 9219
 
2.8%
( 9219
 
2.8%
Other values (584) 173276
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 180040
55.4%
Space Separator 58086
 
17.9%
Decimal Number 53336
 
16.4%
Other Punctuation 13039
 
4.0%
Close Punctuation 9219
 
2.8%
Open Punctuation 9219
 
2.8%
Dash Punctuation 1073
 
0.3%
Uppercase Letter 563
 
0.2%
Math Symbol 482
 
0.1%
Lowercase Letter 48
 
< 0.1%
Other values (2) 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 10792
 
6.0%
경 10509
 
5.8%
시 10478
 
5.8%
기 10464
 
5.8%
도 10324
 
5.7%
로 9841
 
5.5%
구 5116
 
2.8%
호 4977
 
2.8%
층 4124
 
2.3%
양 3267
 
1.8%
Other values (519) 100148
55.6%
Uppercase Letter
ValueCountFrequency (%)
A 85
15.1%
B 81
14.4%
C 67
11.9%
S 41
 
7.3%
K 31
 
5.5%
I 29
 
5.2%
H 28
 
5.0%
M 26
 
4.6%
T 26
 
4.6%
R 18
 
3.2%
Other values (15) 131
23.3%
Lowercase Letter
ValueCountFrequency (%)
e 11
22.9%
p 8
16.7%
c 5
10.4%
l 4
 
8.3%
s 3
 
6.2%
k 3
 
6.2%
t 3
 
6.2%
a 3
 
6.2%
i 2
 
4.2%
m 2
 
4.2%
Other values (3) 4
 
8.3%
Decimal Number
ValueCountFrequency (%)
2 8858
16.6%
1 8816
16.5%
3 7968
14.9%
0 7636
14.3%
4 5388
10.1%
5 3945
7.4%
6 3273
 
6.1%
7 2695
 
5.1%
8 2571
 
4.8%
9 2186
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 12910
99.0%
. 106
 
0.8%
@ 8
 
0.1%
/ 7
 
0.1%
& 7
 
0.1%
: 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 470
97.5%
∼ 11
 
2.3%
～ 1
 
0.2%
Letter Number
ValueCountFrequency (%)
Ⅱ 7
58.3%
Ⅰ 4
33.3%
Ⅲ 1
 
8.3%
Space Separator
ValueCountFrequency (%)
58086
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9219
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9219
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1073
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 180039
55.4%
Common 144454
44.4%
Latin 623
 
0.2%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 10792
 
6.0%
경 10509
 
5.8%
시 10478
 
5.8%
기 10464
 
5.8%
도 10324
 
5.7%
로 9841
 
5.5%
구 5116
 
2.8%
호 4977
 
2.8%
층 4124
 
2.3%
양 3267
 
1.8%
Other values (519) 100147
55.6%
Latin
ValueCountFrequency (%)
A 85
13.6%
B 81
13.0%
C 67
 
10.8%
S 41
 
6.6%
K 31
 
5.0%
I 29
 
4.7%
H 28
 
4.5%
M 26
 
4.2%
T 26
 
4.2%
R 18
 
2.9%
Other values (31) 191
30.7%
Common
ValueCountFrequency (%)
58086
40.2%
, 12910
 
8.9%
) 9219
 
6.4%
( 9219
 
6.4%
2 8858
 
6.1%
1 8816
 
6.1%
3 7968
 
5.5%
0 7636
 
5.3%
4 5388
 
3.7%
5 3945
 
2.7%
Other values (13) 12409
 
8.6%
Han
ValueCountFrequency (%)
外 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 180038
55.4%
ASCII 145053
44.6%
Number Forms 12
 
< 0.1%
Math Operators 11
 
< 0.1%
CJK 2
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
58086
40.0%
, 12910
 
8.9%
) 9219
 
6.4%
( 9219
 
6.4%
2 8858
 
6.1%
1 8816
 
6.1%
3 7968
 
5.5%
0 7636
 
5.3%
4 5388
 
3.7%
5 3945
 
2.7%
Other values (49) 13008
 
9.0%
Hangul
ValueCountFrequency (%)
동 10792
 
6.0%
경 10509
 
5.8%
시 10478
 
5.8%
기 10464
 
5.8%
도 10324
 
5.7%
로 9841
 
5.5%
구 5116
 
2.8%
호 4977
 
2.8%
층 4124
 
2.3%
양 3267
 
1.8%
Other values (518) 100146
55.6%
Math Operators
ValueCountFrequency (%)
∼ 11
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 7
58.3%
Ⅰ 4
33.3%
Ⅲ 1
 
8.3%
CJK
ValueCountFrequency (%)
外 2
100.0%
None
ValueCountFrequency (%)
～ 1
50.0%
㈜ 1
50.0%

소재지지번주소
Text

Distinct7416
Distinct (%)74.3%
Missing17
Missing (%)0.2%
Memory size156.2 KiB
2023-12-11T07:23:49.850754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length56
Mean length28.209857
Min length2

Characters and Unicode

Total characters281619
Distinct characters574
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5285 ?
Unique (%)52.9%

Sample

1st row경기도 평택시 합정동 762-7번지 골든브릿지캐피탈 2층
2nd row경기도 수원시 팔달구 매산로1가 54번지 4호 3층
3rd row경기도 고양시 일산동구 장항동 770번지 삼희포시즌프라자 5층 501호
4th row경기도 광명시 광명동 158번지 514호 해솔타워 7,8,9층
5th row경기도 용인시 처인구 역북동 428번지 7호 낙원빌딩 2층
ValueCountFrequency (%)
경기도 9684
 
15.7%
1호 1102
 
1.8%
수원시 957
 
1.5%
2층 837
 
1.4%
성남시 785
 
1.3%
고양시 752
 
1.2%
용인시 729
 
1.2%
2호 711
 
1.2%
부천시 686
 
1.1%
3층 665
 
1.1%
Other values (7465) 44837
72.6%
2023-12-11T07:23:50.292083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
52218
 
18.5%
1 10624
 
3.8%
시 10174
 
3.6%
동 10149
 
3.6%
기 10119
 
3.6%
도 9929
 
3.5%
경 9788
 
3.5%
호 9606
 
3.4%
지 9234
 
3.3%
2 8912
 
3.2%
Other values (564) 140866
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 162260
57.6%
Decimal Number 60596
 
21.5%
Space Separator 52218
 
18.5%
Other Punctuation 2531
 
0.9%
Dash Punctuation 2273
 
0.8%
Uppercase Letter 564
 
0.2%
Close Punctuation 378
 
0.1%
Open Punctuation 376
 
0.1%
Math Symbol 318
 
0.1%
Lowercase Letter 79
 
< 0.1%
Other values (2) 26
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 10174
 
6.3%
동 10149
 
6.3%
기 10119
 
6.2%
도 9929
 
6.1%
경 9788
 
6.0%
호 9606
 
5.9%
지 9234
 
5.7%
번 8119
 
5.0%
구 5026
 
3.1%
층 3273
 
2.0%
Other values (496) 76843
47.4%
Uppercase Letter
ValueCountFrequency (%)
B 87
15.4%
A 80
14.2%
C 73
12.9%
S 36
 
6.4%
I 29
 
5.1%
H 26
 
4.6%
K 26
 
4.6%
T 22
 
3.9%
M 22
 
3.9%
D 18
 
3.2%
Other values (14) 145
25.7%
Lowercase Letter
ValueCountFrequency (%)
l 15
19.0%
p 14
17.7%
e 12
15.2%
t 7
8.9%
a 7
8.9%
s 4
 
5.1%
n 3
 
3.8%
k 3
 
3.8%
g 2
 
2.5%
m 2
 
2.5%
Other values (6) 10
12.7%
Decimal Number
ValueCountFrequency (%)
1 10624
17.5%
2 8912
14.7%
3 8187
13.5%
0 7607
12.6%
4 6235
10.3%
5 4985
8.2%
6 4070
 
6.7%
7 3653
 
6.0%
8 3332
 
5.5%
9 2991
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 2059
81.4%
. 433
 
17.1%
/ 17
 
0.7%
@ 16
 
0.6%
& 6
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 309
97.2%
∼ 8
 
2.5%
+ 1
 
0.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 12
48.0%
Ⅰ 10
40.0%
Ⅲ 3
 
12.0%
Close Punctuation
ValueCountFrequency (%)
) 377
99.7%
] 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 375
99.7%
[ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
52218
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2273
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 162259
57.6%
Common 118690
42.1%
Latin 668
 
0.2%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 10174
 
6.3%
동 10149
 
6.3%
기 10119
 
6.2%
도 9929
 
6.1%
경 9788
 
6.0%
호 9606
 
5.9%
지 9234
 
5.7%
번 8119
 
5.0%
구 5026
 
3.1%
층 3273
 
2.0%
Other values (496) 76842
47.4%
Latin
ValueCountFrequency (%)
B 87
 
13.0%
A 80
 
12.0%
C 73
 
10.9%
S 36
 
5.4%
I 29
 
4.3%
H 26
 
3.9%
K 26
 
3.9%
T 22
 
3.3%
M 22
 
3.3%
D 18
 
2.7%
Other values (33) 249
37.3%
Common
ValueCountFrequency (%)
52218
44.0%
1 10624
 
9.0%
2 8912
 
7.5%
3 8187
 
6.9%
0 7607
 
6.4%
4 6235
 
5.3%
5 4985
 
4.2%
6 4070
 
3.4%
7 3653
 
3.1%
8 3332
 
2.8%
Other values (14) 8867
 
7.5%
Han
ValueCountFrequency (%)
外 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 162258
57.6%
ASCII 119325
42.4%
Number Forms 25
 
< 0.1%
Math Operators 8
 
< 0.1%
CJK 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
52218
43.8%
1 10624
 
8.9%
2 8912
 
7.5%
3 8187
 
6.9%
0 7607
 
6.4%
4 6235
 
5.2%
5 4985
 
4.2%
6 4070
 
3.4%
7 3653
 
3.1%
8 3332
 
2.8%
Other values (53) 9502
 
8.0%
Hangul
ValueCountFrequency (%)
시 10174
 
6.3%
동 10149
 
6.3%
기 10119
 
6.2%
도 9929
 
6.1%
경 9788
 
6.0%
호 9606
 
5.9%
지 9234
 
5.7%
번 8119
 
5.0%
구 5026
 
3.1%
층 3273
 
2.0%
Other values (495) 76841
47.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 12
48.0%
Ⅰ 10
40.0%
Ⅲ 3
 
12.0%
Math Operators
ValueCountFrequency (%)
∼ 8
100.0%
CJK
ValueCountFrequency (%)
外 2
100.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지우편번호
Real number (ℝ)

Distinct2417
Distinct (%)24.2%
Missing30
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean308483.65
Minimum10018
Maximum487892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:23:50.408192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10018
5-th percentile11441.8
Q116898
median426814
Q3450805.75
95-th percentile480771
Maximum487892
Range477874
Interquartile range (IQR)433907.75

Descriptive statistics

Standard deviation200837.57
Coefficient of variation (CV)0.65104771
Kurtosis-1.379978
Mean308483.65
Median Absolute Deviation (MAD)36596
Skewness-0.76322563
Sum3.075582 × 109
Variance4.033573 × 1010
MonotonicityNot monotonic
2023-12-11T07:23:50.538391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
435040 75
 
0.8%
415060 58
 
0.6%
472501 44
 
0.4%
463824 40
 
0.4%
13640 39
 
0.4%
463400 39
 
0.4%
12909 37
 
0.4%
413100 37
 
0.4%
472120 36
 
0.4%
431812 35
 
0.4%
Other values (2407) 9530
95.3%
ValueCountFrequency (%)
10018 2
 
< 0.1%
10031 5
 
0.1%
10039 1
 
< 0.1%
10068 2
 
< 0.1%
10070 4
 
< 0.1%
10071 19
0.2%
10073 1
 
< 0.1%
10077 1
 
< 0.1%
10082 2
 
< 0.1%
10083 3
 
< 0.1%
ValueCountFrequency (%)
487892 4
 
< 0.1%
487883 2
 
< 0.1%
487852 1
 
< 0.1%
487851 8
0.1%
487841 1
 
< 0.1%
487831 3
 
< 0.1%
487824 5
 
0.1%
487823 15
0.1%
487820 8
0.1%
487814 4
 
< 0.1%

WGS84위도
Real number (ℝ)

Distinct5233
Distinct (%)52.7%
Missing69
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean37.437356
Minimum36.959086
Maximum38.101577
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:23:50.648126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.959086
5-th percentile37.125906
Q137.295786
median37.400667
Q337.613946
95-th percentile37.755393
Maximum38.101577
Range1.142492
Interquartile range (IQR)0.3181598

Descriptive statistics

Standard deviation0.20346024
Coefficient of variation (CV)0.005434685
Kurtosis-0.26890169
Mean37.437356
Median Absolute Deviation (MAD)0.1257825
Skewness0.18813104
Sum371790.39
Variance0.041396069
MonotonicityNot monotonic
2023-12-11T07:23:50.759553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4727271 19
 
0.2%
37.6550032 13
 
0.1%
37.4722403 12
 
0.1%
37.4726368 12
 
0.1%
37.275747 11
 
0.1%
37.3894738 11
 
0.1%
37.6544175 11
 
0.1%
37.3961279 11
 
0.1%
37.4734838 11
 
0.1%
37.5051267 10
 
0.1%
Other values (5223) 9810
98.1%
(Missing) 69
 
0.7%
ValueCountFrequency (%)
36.9590855 2
< 0.1%
36.9597788 1
 
< 0.1%
36.9607785 2
< 0.1%
36.9608865 1
 
< 0.1%
36.9610215 1
 
< 0.1%
36.9614182 1
 
< 0.1%
36.9631882 2
< 0.1%
36.9633053 2
< 0.1%
36.9643588 3
< 0.1%
36.964692 1
 
< 0.1%
ValueCountFrequency (%)
38.1015775 2
< 0.1%
38.1005236 1
 
< 0.1%
38.0992805 1
 
< 0.1%
38.0991364 1
 
< 0.1%
38.0909716 1
 
< 0.1%
38.0905299 1
 
< 0.1%
38.0901974 2
< 0.1%
38.0898101 3
< 0.1%
38.0895023 1
 
< 0.1%
38.0350906 1
 
< 0.1%

WGS84경도
Real number (ℝ)

Distinct5237
Distinct (%)52.7%
Missing69
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean127.00074
Minimum126.55301
Maximum127.69063
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:23:50.904292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.55301
5-th percentile126.74443
Q1126.83628
median127.02816
Q3127.11832
95-th percentile127.27279
Maximum127.69063
Range1.1376185
Interquartile range (IQR)0.28203815

Descriptive statistics

Standard deviation0.18506857
Coefficient of variation (CV)0.0014572244
Kurtosis0.45324845
Mean127.00074
Median Absolute Deviation (MAD)0.1167372
Skewness0.44753036
Sum1261244.4
Variance0.034250377
MonotonicityNot monotonic
2023-12-11T07:23:51.027189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.142427 19
 
0.2%
127.244021 13
 
0.1%
127.1500574 12
 
0.1%
127.1426522 12
 
0.1%
127.2440304 11
 
0.1%
126.9646319 11
 
0.1%
127.0718296 11
 
0.1%
126.9521687 11
 
0.1%
127.1499913 11
 
0.1%
126.8348541 10
 
0.1%
Other values (5227) 9810
98.1%
(Missing) 69
 
0.7%
ValueCountFrequency (%)
126.5530135 1
< 0.1%
126.568593 1
< 0.1%
126.5825615 1
< 0.1%
126.5829561 1
< 0.1%
126.5833663 1
< 0.1%
126.5838643 1
< 0.1%
126.5843202 1
< 0.1%
126.5843385 1
< 0.1%
126.5847449 2
< 0.1%
126.5848146 1
< 0.1%
ValueCountFrequency (%)
127.690632 1
 
< 0.1%
127.6541058 2
< 0.1%
127.6424642 1
 
< 0.1%
127.6413588 1
 
< 0.1%
127.6401692 1
 
< 0.1%
127.6385709 1
 
< 0.1%
127.6385247 1
 
< 0.1%
127.638079 1
 
< 0.1%
127.6372475 4
< 0.1%
127.6371353 1
 
< 0.1%

Sample

시군명사업장명인허가일자영업상태명폐업일자사용구분명신고일자의료장비종류명장치명칭장치모델명장치상태명장치용도명장치형식내용장치형태명제조국가명제조번호제조사명판매회사명소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
9304평택시한주희정형외과의원20140513운영중<NA>사용중20140513진단용방사선발생장치진단용 엑스선 장치SIG-40-525신제품일반R-500-125거치형대한민국ECO-R4-1404169ECO Ray<NA>경기도 평택시 평택4로 39, 2층 (합정동, 골든브릿지캐피탈)경기도 평택시 합정동 762-7번지 골든브릿지캐피탈 2층1790736.991518127.100003
5234수원시유펜치과의원20101126운영중<NA>사용중20101126진단용방사선발생장치치과진단용 엑스선 발생장치AnyRay신제품치과일반HR-60-P거치형대한민국AR2-C1638-E103이우테크놀리지<NA>경기도 수원시 팔달구 매산로 9 (매산로1가,3층)경기도 수원시 팔달구 매산로1가 54번지 4호 3층44208137.267207127.002476
354고양시월화수목금토 치과의원20121119운영중<NA>사용중20121119진단용방사선발생장치전산화 단층 촬영장치Pax-Flex3D기타단층 및 파노라마DCTP-90-P거치형대한민국041-0460바텍<NA>경기도 고양시 일산동구 중앙로1275번길 38-15 (장항동)경기도 고양시 일산동구 장항동 770번지 삼희포시즌프라자 5층 501호41083737.659822126.770046
1010광명시지엠제일산부인과의원20160302운영중<NA>사용중20160302진단용방사선발생장치유방촬영용엑스선장치MF-150S중고제품유방촬영MR-150-35이동형미국BMF-26148BENNETT<NA>경기도 광명시 광명로 896, 7,8,9층 (광명동, 해솔타워)경기도 광명시 광명동 158번지 514호 해솔타워 7,8,9층1426237.478789126.854428
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시군명사업장명인허가일자영업상태명폐업일자사용구분명신고일자의료장비종류명장치명칭장치모델명장치상태명장치용도명장치형식내용장치형태명제조국가명제조번호제조사명판매회사명소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
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8107의왕시부곡치과병원20160607운영중<NA>사용중20160607진단용방사선발생장치치과용 전산화 단층 촬영장치PHT-30LFO신제품치과용CT 및 파노라마DCTP-99-P거치형대한민국0612545(주)바텍주식회사 바텍경기도 의왕시 철도박물관로 59 (삼동)경기도 의왕시 삼동 471번지 49호43704037.321455126.949067
1996김포시김포예사랑병원20130711운영중<NA>사용중20130711진단용방사선발생장치진단용 엑스선 장치AMX-4중고제품일반R-100-125거치형미국427012WKOGE<NA>경기도 김포시 중봉1로 12 (감정동,e삼메다칼센터 2층, 5층, 6층)경기도 김포시 감정동 551번지 8호 e삼메다칼센터 2층, 5층, 6층41501037.622352126.699492
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