Overview

Dataset statistics

Number of variables10
Number of observations525
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory42.7 KiB
Average record size in memory83.3 B

Variable types

Categorical2
Text5
Numeric3

Dataset

Description정신의료기관(정신건강의학과) 현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=K824OMW598NI0CO4S2XI25002507&infSeq=1

Alerts

소재지우편번호 is highly overall correlated with WGS84위도 and 1 other fieldsHigh correlation
WGS84위도 is highly overall correlated with 소재지우편번호 and 1 other fieldsHigh correlation
WGS84경도 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 소재지우편번호 and 2 other fieldsHigh correlation

Reproduction

Analysis started2024-03-12 23:23:12.003219
Analysis finished2024-03-12 23:23:13.297249
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
성남시
68 
수원시
60 
고양시
50 
부천시
41 
용인시
37 
Other values (26)
269 

Length

Max length4
Median length3
Mean length3.087619
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성남시 68
13.0%
수원시 60
11.4%
고양시 50
 
9.5%
부천시 41
 
7.8%
용인시 37
 
7.0%
화성시 29
 
5.5%
안양시 27
 
5.1%
의정부시 23
 
4.4%
안산시 23
 
4.4%
남양주시 18
 
3.4%
Other values (21) 149
28.4%

Length

2024-03-13T08:23:13.345754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성남시 68
13.0%
수원시 60
11.4%
고양시 50
 
9.5%
부천시 41
 
7.8%
용인시 37
 
7.0%
화성시 29
 
5.5%
안양시 27
 
5.1%
의정부시 23
 
4.4%
안산시 23
 
4.4%
남양주시 18
 
3.4%
Other values (21) 149
28.4%

병원구분명
Categorical

Distinct8
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
의원
332 
요양병원
65 
정신병원
51 
종합병원
39 
병원
 
25
Other values (3)
 
13

Length

Max length6
Median length2
Mean length2.6647619
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row정신요양시설
2nd row병원
3rd row병원
4th row정신병원
5th row정신병원

Common Values

ValueCountFrequency (%)
의원 332
63.2%
요양병원 65
 
12.4%
정신병원 51
 
9.7%
종합병원 39
 
7.4%
병원 25
 
4.8%
정신요양시설 6
 
1.1%
상급종합 6
 
1.1%
보건의료원 1
 
0.2%

Length

2024-03-13T08:23:13.443756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T08:23:13.533814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 332
63.2%
요양병원 65
 
12.4%
정신병원 51
 
9.7%
종합병원 39
 
7.4%
병원 25
 
4.8%
정신요양시설 6
 
1.1%
상급종합 6
 
1.1%
보건의료원 1
 
0.2%

기관명
Text

Distinct468
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2024-03-13T08:23:13.718294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length10.499048
Min length3

Characters and Unicode

Total characters5512
Distinct characters302
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique422 ?
Unique (%)80.4%

Sample

1st row가평꽃동네정신요양원
2nd row노체리안드리자애병원
3rd row에이치제이매그놀리아국제병원
4th row청평우리병원
5th row고양정신병원
ValueCountFrequency (%)
의료법인 12
 
2.0%
정신건강의학과의원 11
 
1.9%
의원 5
 
0.9%
연세서울병원 4
 
0.7%
정신건강의학과 4
 
0.7%
마음과마음정신건강의학과의원 4
 
0.7%
서울정신건강의학과의원 4
 
0.7%
삼성공감정신건강의학과의원 3
 
0.5%
윤정신건강의학과의원 3
 
0.5%
연세소울정신건강의학과의원 3
 
0.5%
Other values (490) 533
91.0%
2024-03-13T08:23:14.010306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 693
 
12.6%
원 549
 
10.0%
신 363
 
6.6%
정 360
 
6.5%
과 342
 
6.2%
학 308
 
5.6%
강 298
 
5.4%
건 289
 
5.2%
병 185
 
3.4%
61
 
1.1%
Other values (292) 2064
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5439
98.7%
Space Separator 61
 
1.1%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Uppercase Letter 3
 
0.1%
Lowercase Letter 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 693
 
12.7%
원 549
 
10.1%
신 363
 
6.7%
정 360
 
6.6%
과 342
 
6.3%
학 308
 
5.7%
강 298
 
5.5%
건 289
 
5.3%
병 185
 
3.4%
마 59
 
1.1%
Other values (283) 1993
36.6%
Uppercase Letter
ValueCountFrequency (%)
Y 1
33.3%
W 1
33.3%
T 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
h 1
50.0%
Space Separator
ValueCountFrequency (%)
61
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5439
98.7%
Common 68
 
1.2%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 693
 
12.7%
원 549
 
10.1%
신 363
 
6.7%
정 360
 
6.6%
과 342
 
6.3%
학 308
 
5.7%
강 298
 
5.5%
건 289
 
5.3%
병 185
 
3.4%
마 59
 
1.1%
Other values (283) 1993
36.6%
Latin
ValueCountFrequency (%)
Y 1
20.0%
W 1
20.0%
e 1
20.0%
h 1
20.0%
T 1
20.0%
Common
ValueCountFrequency (%)
61
89.7%
( 3
 
4.4%
) 3
 
4.4%
& 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5439
98.7%
ASCII 73
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 693
 
12.7%
원 549
 
10.1%
신 363
 
6.7%
정 360
 
6.6%
과 342
 
6.3%
학 308
 
5.7%
강 298
 
5.5%
건 289
 
5.3%
병 185
 
3.4%
마 59
 
1.1%
Other values (283) 1993
36.6%
ASCII
ValueCountFrequency (%)
61
83.6%
( 3
 
4.1%
) 3
 
4.1%
Y 1
 
1.4%
W 1
 
1.4%
& 1
 
1.4%
e 1
 
1.4%
h 1
 
1.4%
T 1
 
1.4%

소재지지번주소
Text

Distinct477
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2024-03-13T08:23:14.251335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length21.670476
Min length16

Characters and Unicode

Total characters11377
Distinct characters206
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique436 ?
Unique (%)83.0%

Sample

1st row경기도 가평군 조종면 운악리 540-2번지
2nd row경기도 가평군 조종면 운악리 540-2번지
3rd row경기도 가평군 설악면 송산리 426-10번지
4th row경기도 가평군 청평면 청평리 442-1번지
5th row경기도 고양시 덕양구 내유동 294-2번지
ValueCountFrequency (%)
경기도 525
 
21.3%
성남시 68
 
2.8%
수원시 60
 
2.4%
고양시 50
 
2.0%
분당구 47
 
1.9%
부천시 41
 
1.7%
용인시 37
 
1.5%
화성시 29
 
1.2%
원미구 28
 
1.1%
안양시 27
 
1.1%
Other values (757) 1557
63.1%
2024-03-13T08:23:14.601809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1944
 
17.1%
기 546
 
4.8%
지 546
 
4.8%
도 530
 
4.7%
경 529
 
4.6%
동 528
 
4.6%
시 527
 
4.6%
번 525
 
4.6%
1 442
 
3.9%
- 367
 
3.2%
Other values (196) 4893
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7001
61.5%
Decimal Number 2064
 
18.1%
Space Separator 1944
 
17.1%
Dash Punctuation 367
 
3.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 546
 
7.8%
지 546
 
7.8%
도 530
 
7.6%
경 529
 
7.6%
동 528
 
7.5%
시 527
 
7.5%
번 525
 
7.5%
구 327
 
4.7%
양 143
 
2.0%
원 119
 
1.7%
Other values (183) 2681
38.3%
Decimal Number
ValueCountFrequency (%)
1 442
21.4%
2 222
10.8%
6 221
10.7%
3 214
10.4%
4 201
9.7%
5 181
8.8%
0 164
 
7.9%
7 151
 
7.3%
9 139
 
6.7%
8 129
 
6.2%
Space Separator
ValueCountFrequency (%)
1944
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 367
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7001
61.5%
Common 4376
38.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 546
 
7.8%
지 546
 
7.8%
도 530
 
7.6%
경 529
 
7.6%
동 528
 
7.5%
시 527
 
7.5%
번 525
 
7.5%
구 327
 
4.7%
양 143
 
2.0%
원 119
 
1.7%
Other values (183) 2681
38.3%
Common
ValueCountFrequency (%)
1944
44.4%
1 442
 
10.1%
- 367
 
8.4%
2 222
 
5.1%
6 221
 
5.1%
3 214
 
4.9%
4 201
 
4.6%
5 181
 
4.1%
0 164
 
3.7%
7 151
 
3.5%
Other values (3) 269
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7001
61.5%
ASCII 4376
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1944
44.4%
1 442
 
10.1%
- 367
 
8.4%
2 222
 
5.1%
6 221
 
5.1%
3 214
 
4.9%
4 201
 
4.6%
5 181
 
4.1%
0 164
 
3.7%
7 151
 
3.5%
Other values (3) 269
 
6.1%
Hangul
ValueCountFrequency (%)
기 546
 
7.8%
지 546
 
7.8%
도 530
 
7.6%
경 529
 
7.6%
동 528
 
7.5%
시 527
 
7.5%
번 525
 
7.5%
구 327
 
4.7%
양 143
 
2.0%
원 119
 
1.7%
Other values (183) 2681
38.3%

소재지도로명주소
Text

Distinct478
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2024-03-13T08:23:14.805856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length24
Mean length18.914286
Min length13

Characters and Unicode

Total characters9930
Distinct characters231
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique438 ?
Unique (%)83.4%

Sample

1st row경기도 가평군 조종면 꽃동네길 60
2nd row경기도 가평군 조종면 꽃동네길 46
3rd row경기도 가평군 설악면 미사리로 267-177
4th row경기도 가평군 청평면 경춘로 791-11
5th row경기도 고양시 덕양구 통일로1102번길 46
ValueCountFrequency (%)
경기도 525
 
21.7%
성남시 68
 
2.8%
수원시 60
 
2.5%
고양시 50
 
2.1%
분당구 47
 
1.9%
부천시 41
 
1.7%
용인시 37
 
1.5%
화성시 29
 
1.2%
안양시 27
 
1.1%
중앙로 24
 
1.0%
Other values (681) 1508
62.4%
2024-03-13T08:23:15.130286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1891
19.0%
경 552
 
5.6%
기 546
 
5.5%
시 538
 
5.4%
도 531
 
5.3%
로 513
 
5.2%
1 373
 
3.8%
구 286
 
2.9%
2 230
 
2.3%
3 184
 
1.9%
Other values (221) 4286
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6264
63.1%
Space Separator 1891
 
19.0%
Decimal Number 1720
 
17.3%
Dash Punctuation 53
 
0.5%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 552
 
8.8%
기 546
 
8.7%
시 538
 
8.6%
도 531
 
8.5%
로 513
 
8.2%
구 286
 
4.6%
양 134
 
2.1%
성 131
 
2.1%
남 122
 
1.9%
길 116
 
1.9%
Other values (207) 2795
44.6%
Decimal Number
ValueCountFrequency (%)
1 373
21.7%
2 230
13.4%
3 184
10.7%
7 149
 
8.7%
0 146
 
8.5%
4 145
 
8.4%
6 136
 
7.9%
5 129
 
7.5%
8 114
 
6.6%
9 114
 
6.6%
Space Separator
ValueCountFrequency (%)
1891
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6264
63.1%
Common 3666
36.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 552
 
8.8%
기 546
 
8.7%
시 538
 
8.6%
도 531
 
8.5%
로 513
 
8.2%
구 286
 
4.6%
양 134
 
2.1%
성 131
 
2.1%
남 122
 
1.9%
길 116
 
1.9%
Other values (207) 2795
44.6%
Common
ValueCountFrequency (%)
1891
51.6%
1 373
 
10.2%
2 230
 
6.3%
3 184
 
5.0%
7 149
 
4.1%
0 146
 
4.0%
4 145
 
4.0%
6 136
 
3.7%
5 129
 
3.5%
8 114
 
3.1%
Other values (4) 169
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6264
63.1%
ASCII 3666
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1891
51.6%
1 373
 
10.2%
2 230
 
6.3%
3 184
 
5.0%
7 149
 
4.1%
0 146
 
4.0%
4 145
 
4.0%
6 136
 
3.7%
5 129
 
3.5%
8 114
 
3.1%
Other values (4) 169
 
4.6%
Hangul
ValueCountFrequency (%)
경 552
 
8.8%
기 546
 
8.7%
시 538
 
8.6%
도 531
 
8.5%
로 513
 
8.2%
구 286
 
4.6%
양 134
 
2.1%
성 131
 
2.1%
남 122
 
1.9%
길 116
 
1.9%
Other values (207) 2795
44.6%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct342
Distinct (%)65.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14166.764
Minimum10018
Maximum18626
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-03-13T08:23:15.433298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10018
5-th percentile10381
Q112025
median14068
Q316463
95-th percentile18347.4
Maximum18626
Range8608
Interquartile range (IQR)4438

Descriptive statistics

Standard deviation2466.6006
Coefficient of variation (CV)0.17411179
Kurtosis-1.075309
Mean14166.764
Median Absolute Deviation (MAD)2227
Skewness0.011384733
Sum7437551
Variance6084118.6
MonotonicityNot monotonic
2024-03-13T08:23:15.530743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13591 6
 
1.1%
17089 6
 
1.1%
13524 6
 
1.1%
14072 5
 
1.0%
13618 5
 
1.0%
11757 5
 
1.0%
15865 5
 
1.0%
18478 4
 
0.8%
16489 4
 
0.8%
10381 4
 
0.8%
Other values (332) 475
90.5%
ValueCountFrequency (%)
10018 1
 
0.2%
10023 2
0.4%
10071 2
0.4%
10083 2
0.4%
10086 1
 
0.2%
10099 1
 
0.2%
10104 1
 
0.2%
10108 3
0.6%
10110 1
 
0.2%
10113 1
 
0.2%
ValueCountFrequency (%)
18626 2
0.4%
18583 1
 
0.2%
18505 2
0.4%
18484 1
 
0.2%
18478 4
0.8%
18476 1
 
0.2%
18466 1
 
0.2%
18455 2
0.4%
18453 1
 
0.2%
18450 1
 
0.2%

WGS84위도
Real number (ℝ)

HIGH CORRELATION 

Distinct485
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.442385
Minimum36.990565
Maximum38.02618
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-03-13T08:23:15.633993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.990565
5-th percentile37.168
Q137.288051
median37.399928
Q337.622696
95-th percentile37.754376
Maximum38.02618
Range1.0356148
Interquartile range (IQR)0.33464572

Descriptive statistics

Standard deviation0.19970296
Coefficient of variation (CV)0.0053336069
Kurtosis-0.45850357
Mean37.442385
Median Absolute Deviation (MAD)0.12599802
Skewness0.29209982
Sum19657.252
Variance0.039881273
MonotonicityNot monotonic
2024-03-13T08:23:15.740095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.17846136 4
 
0.8%
37.73874549 3
 
0.6%
37.25072901 3
 
0.6%
37.74971903 3
 
0.6%
37.7715317 2
 
0.4%
37.34796928 2
 
0.4%
37.25043426 2
 
0.4%
37.2734709 2
 
0.4%
37.36694324 2
 
0.4%
37.69156427 2
 
0.4%
Other values (475) 500
95.2%
ValueCountFrequency (%)
36.9905649 1
0.2%
36.99247939 1
0.2%
36.99258393 1
0.2%
36.99276866 1
0.2%
36.99513458 1
0.2%
37.00342269 1
0.2%
37.00762143 1
0.2%
37.00837424 1
0.2%
37.04777367 1
0.2%
37.05637884 2
0.4%
ValueCountFrequency (%)
38.02617973 1
0.2%
38.02355122 1
0.2%
37.97389607 1
0.2%
37.91597253 1
0.2%
37.90005136 2
0.4%
37.89932709 1
0.2%
37.89276024 1
0.2%
37.88544888 1
0.2%
37.88488279 1
0.2%
37.85835428 1
0.2%

WGS84경도
Real number (ℝ)

HIGH CORRELATION 

Distinct486
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.00425
Minimum126.56868
Maximum127.63728
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-03-13T08:23:15.850248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.56868
5-th percentile126.74715
Q1126.84012
median127.04251
Q3127.11365
95-th percentile127.30866
Maximum127.63728
Range1.068603
Interquartile range (IQR)0.2735353

Descriptive statistics

Standard deviation0.18267653
Coefficient of variation (CV)0.0014383497
Kurtosis0.46150004
Mean127.00425
Median Absolute Deviation (MAD)0.1004734
Skewness0.35604279
Sum66677.232
Variance0.033370715
MonotonicityNot monotonic
2024-03-13T08:23:15.955839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.566139 4
 
0.8%
127.3094837 3
 
0.6%
127.0446286 3
 
0.6%
127.1546472 3
 
0.6%
126.5686768 2
 
0.4%
126.7759138 2
 
0.4%
127.1556432 2
 
0.4%
127.0156372 2
 
0.4%
127.1565313 2
 
0.4%
126.7627636 2
 
0.4%
Other values (476) 500
95.2%
ValueCountFrequency (%)
126.5686768 2
0.4%
126.6020839 1
0.2%
126.6261846 1
0.2%
126.6269029 1
0.2%
126.6602384 1
0.2%
126.6677667 1
0.2%
126.6683606 1
0.2%
126.6864519 1
0.2%
126.6994788 1
0.2%
126.7097695 1
0.2%
ValueCountFrequency (%)
127.6372798 1
 
0.2%
127.6358928 1
 
0.2%
127.566139 4
0.8%
127.5213806 1
 
0.2%
127.5178617 1
 
0.2%
127.4957241 1
 
0.2%
127.4735577 2
0.4%
127.4470276 1
 
0.2%
127.4457533 1
 
0.2%
127.4441592 1
 
0.2%

전화번호정보
Text

Distinct487
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2024-03-13T08:23:16.156135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.984762
Min length9

Characters and Unicode

Total characters6292
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique452 ?
Unique (%)86.1%

Sample

1st row031-589-0210
2nd row031-589-0301
3rd row031-589-4300
4th row031-585-5115
5th row031-969-0885
ValueCountFrequency (%)
031-883-7585 4
 
0.8%
031-592-6661 3
 
0.6%
031-810-9200 2
 
0.4%
031-455-3333 2
 
0.4%
031-514-9988 2
 
0.4%
031-836-7341 2
 
0.4%
031-477-9797 2
 
0.4%
031-8005-9111 2
 
0.4%
031-288-0114 2
 
0.4%
031-907-9920 2
 
0.4%
Other values (477) 502
95.6%
2024-03-13T08:23:16.468971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1038
16.5%
0 1030
16.4%
3 851
13.5%
1 844
13.4%
7 483
7.7%
5 450
7.2%
2 396
 
6.3%
8 341
 
5.4%
9 310
 
4.9%
6 283
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5254
83.5%
Dash Punctuation 1038
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1030
19.6%
3 851
16.2%
1 844
16.1%
7 483
9.2%
5 450
8.6%
2 396
 
7.5%
8 341
 
6.5%
9 310
 
5.9%
6 283
 
5.4%
4 266
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 1038
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6292
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1038
16.5%
0 1030
16.4%
3 851
13.5%
1 844
13.4%
7 483
7.7%
5 450
7.2%
2 396
 
6.3%
8 341
 
5.4%
9 310
 
4.9%
6 283
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6292
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1038
16.5%
0 1030
16.4%
3 851
13.5%
1 844
13.4%
7 483
7.7%
5 450
7.2%
2 396
 
6.3%
8 341
 
5.4%
9 310
 
4.9%
6 283
 
4.5%

홈페이지URL
Text

Distinct375
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2024-03-13T08:23:16.636791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length42
Mean length22.234286
Min length4

Characters and Unicode

Total characters11673
Distinct characters114
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique347 ?
Unique (%)66.1%

Sample

1st rowhttp://happylog.naver.com/ghksgml.do
2nd rowwww.
3rd rowhttp://www.hjmmc.or.kr/
4th rowhttp://www.woorihosp.co.kr/
5th rowhttp://www.kymhosp.com/
ValueCountFrequency (%)
www 122
 
22.8%
http://www.maum2.co.kr 4
 
0.7%
http://recovery-hospital.or.kr 2
 
0.4%
http://www.healingsui.com 2
 
0.4%
http://www.ansanyh.co.kr 2
 
0.4%
http://ysmi.com 2
 
0.4%
경기도 2
 
0.4%
https://huesungsim.modoo.at 2
 
0.4%
http://www.sayusayme.co.kr 2
 
0.4%
https://www.yonseiin.kr 2
 
0.4%
Other values (371) 393
73.5%
2024-03-13T08:23:16.919835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 1132
 
9.7%
. 1035
 
8.9%
w 1011
 
8.7%
t 976
 
8.4%
o 850
 
7.3%
h 611
 
5.2%
p 533
 
4.6%
c 477
 
4.1%
s 456
 
3.9%
m 449
 
3.8%
Other values (104) 4143
35.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8771
75.1%
Other Punctuation 2555
 
21.9%
Decimal Number 163
 
1.4%
Other Letter 131
 
1.1%
Dash Punctuation 22
 
0.2%
Space Separator 10
 
0.1%
Connector Punctuation 9
 
0.1%
Math Symbol 4
 
< 0.1%
Uppercase Letter 4
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 10
 
7.6%
병 8
 
6.1%
한 5
 
3.8%
정 5
 
3.8%
과 5
 
3.8%
중 5
 
3.8%
연 4
 
3.1%
신 4
 
3.1%
의 3
 
2.3%
세 3
 
2.3%
Other values (52) 79
60.3%
Lowercase Letter
ValueCountFrequency (%)
w 1011
 
11.5%
t 976
 
11.1%
o 850
 
9.7%
h 611
 
7.0%
p 533
 
6.1%
c 477
 
5.4%
s 456
 
5.2%
m 449
 
5.1%
a 438
 
5.0%
n 426
 
4.9%
Other values (16) 2544
29.0%
Decimal Number
ValueCountFrequency (%)
0 32
19.6%
1 32
19.6%
2 23
14.1%
5 15
9.2%
9 12
 
7.4%
3 12
 
7.4%
7 10
 
6.1%
6 9
 
5.5%
8 9
 
5.5%
4 9
 
5.5%
Other Punctuation
ValueCountFrequency (%)
/ 1132
44.3%
. 1035
40.5%
: 381
 
14.9%
? 4
 
0.2%
, 2
 
0.1%
& 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
J 1
25.0%
I 1
25.0%
X 1
25.0%
G 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%
Math Symbol
ValueCountFrequency (%)
= 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8775
75.2%
Common 2767
 
23.7%
Hangul 131
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 10
 
7.6%
병 8
 
6.1%
한 5
 
3.8%
정 5
 
3.8%
과 5
 
3.8%
중 5
 
3.8%
연 4
 
3.1%
신 4
 
3.1%
의 3
 
2.3%
세 3
 
2.3%
Other values (52) 79
60.3%
Latin
ValueCountFrequency (%)
w 1011
 
11.5%
t 976
 
11.1%
o 850
 
9.7%
h 611
 
7.0%
p 533
 
6.1%
c 477
 
5.4%
s 456
 
5.2%
m 449
 
5.1%
a 438
 
5.0%
n 426
 
4.9%
Other values (20) 2548
29.0%
Common
ValueCountFrequency (%)
/ 1132
40.9%
. 1035
37.4%
: 381
 
13.8%
0 32
 
1.2%
1 32
 
1.2%
2 23
 
0.8%
- 22
 
0.8%
5 15
 
0.5%
9 12
 
0.4%
3 12
 
0.4%
Other values (12) 71
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11542
98.9%
Hangul 131
 
1.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 1132
 
9.8%
. 1035
 
9.0%
w 1011
 
8.8%
t 976
 
8.5%
o 850
 
7.4%
h 611
 
5.3%
p 533
 
4.6%
c 477
 
4.1%
s 456
 
4.0%
m 449
 
3.9%
Other values (42) 4012
34.8%
Hangul
ValueCountFrequency (%)
원 10
 
7.6%
병 8
 
6.1%
한 5
 
3.8%
정 5
 
3.8%
과 5
 
3.8%
중 5
 
3.8%
연 4
 
3.1%
신 4
 
3.1%
의 3
 
2.3%
세 3
 
2.3%
Other values (52) 79
60.3%

Interactions

2024-03-13T08:23:12.927387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:23:12.492748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:23:12.723082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:23:12.988056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:23:12.555514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:23:12.794113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:23:13.053708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:23:12.634123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:23:12.860598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T08:23:17.019292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명병원구분명소재지우편번호WGS84위도WGS84경도
시군명1.0000.6070.9890.9730.964
병원구분명0.6071.0000.2090.4900.237
소재지우편번호0.9890.2091.0000.9350.873
WGS84위도0.9730.4900.9351.0000.777
WGS84경도0.9640.2370.8730.7771.000
2024-03-13T08:23:17.098630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
병원구분명시군명
병원구분명1.0000.280
시군명0.2801.000
2024-03-13T08:23:17.162629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명병원구분명
소재지우편번호1.000-0.8920.1770.8940.100
WGS84위도-0.8921.000-0.2490.8080.259
WGS84경도0.177-0.2491.0000.7710.115
시군명0.8940.8080.7711.0000.280
병원구분명0.1000.2590.1150.2801.000

Missing values

2024-03-13T08:23:13.142434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T08:23:13.252280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

시군명병원구분명기관명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도전화번호정보홈페이지URL
0가평군정신요양시설가평꽃동네정신요양원경기도 가평군 조종면 운악리 540-2번지경기도 가평군 조종면 꽃동네길 601243237.885449127.35033031-589-0210http://happylog.naver.com/ghksgml.do
1가평군병원노체리안드리자애병원경기도 가평군 조종면 운악리 540-2번지경기도 가평군 조종면 꽃동네길 461243237.884883127.351696031-589-0301www.
2가평군병원에이치제이매그놀리아국제병원경기도 가평군 설악면 송산리 426-10번지경기도 가평군 설악면 미사리로 267-1771246137.691127127.521381031-589-4300http://www.hjmmc.or.kr/
3가평군정신병원청평우리병원경기도 가평군 청평면 청평리 442-1번지경기도 가평군 청평면 경춘로 791-111245137.737139127.415481031-585-5115http://www.woorihosp.co.kr/
4고양시정신병원고양정신병원경기도 고양시 덕양구 내유동 294-2번지경기도 고양시 덕양구 통일로1102번길 461026437.711499126.854566031-969-0885http://www.kymhosp.com/
5고양시병원고양휴메디병원경기도 고양시 덕양구 원흥동 633-7번지경기도 고양시 덕양구 원흥3로 6-171056437.647737126.87593031-968-2020http://goyanghyumedi.co.kr/
6고양시병원국군고양병원경기도 고양시 덕양구 벽제동 335-1번지경기도 고양시 덕양구 혜음로 2151027137.719372126.898091031-963-6657www.
7고양시종합병원국립암센터경기도 고양시 일산동구 마두동 809번지경기도 고양시 일산동구 일산로 3231040837.663237126.783396031-920-0114http://www.ncc.re.kr
8고양시종합병원국민건강보험공단일산병원경기도 고양시 일산동구 백석동 1232번지경기도 고양시 일산동구 일산로 1001044437.645475126.7929631577-0013http://www.nhimc.or.kr
9고양시정신병원늘푸른병원경기도 고양시 덕양구 주교동 554-3번지경기도 고양시 덕양구 원당로 1391029837.663622126.840116031-967-9966https://www.goodoc.co.kr/hospitals/85499
시군명병원구분명기관명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도전화번호정보홈페이지URL
515화성시의원예다움정신건강의학과의원경기도 화성시 병점동 379-10번지경기도 화성시 경기대로 10141841137.206473127.036632031-898-5757http://www.yedaum.org/
516화성시정신요양시설은혜원경기도 화성시 장안면 독정리 803-8번지경기도 화성시 장안면 포승장안로 1194-241858337.072037126.847571031-351-2772www.eunhaewon.or.kr
517화성시정신병원의료법인 승민의료재단 화성초록병원경기도 화성시 양감면 사창리 808-10번지경기도 화성시 양감면 사격장길 133-251862637.089744126.956892031-352-0885http://www.hsgreen.co.kr/
518화성시종합병원의료법인 원광의료재단 원광종합병원경기도 화성시 송산동 200-4번지경기도 화성시 화산북로 211835637.21016127.00807031-8077-7200https://www.instagram.com/wonkwang17
519화성시요양병원의료법인승민의료재단화성초록병원경기도 화성시 양감면 사창리 808-10번지경기도 화성시 양감면 사격장길 133-251862637.089744126.956892031-352-0885http://www.hsgreen.co.kr/
520화성시요양병원제일요양병원경기도 화성시 진안동 512-1번지경기도 화성시 효행로 9901840137.211213127.036367031-526-0030http://www.hsjeil.com/
521화성시의원좋은날 정신건강의학과의원경기도 화성시 목동 487-2번지경기도 화성시 동탄순환대로 4001848437.182964127.123141031-8077-2401https://finedaypsychiatry.modoo.at/
522화성시의원청담드림정신건강의학과의원경기도 화성시 능동 1114-3번지경기도 화성시 동탄지성로 1411843137.209415127.05987031-613-7531http://cheongdamdream.com/
523화성시종합병원한림대학교동탄성심병원경기도 화성시 석우동 40번지경기도 화성시 큰재봉길 71845037.216496127.079942031-8086-3000http://dongtan.hallym.or.kr/
524화성시의원해솔정신건강의학과의원경기도 화성시 반송동 107-8번지경기도 화성시 동탄반석로 1201845537.199619127.07164031-8003-7578http://www.haesolclinic.co.kr/sub01/sub06-01.php