Overview

Dataset statistics

Number of variables21
Number of observations1328
Missing cells13254
Missing cells (%)47.5%
Duplicate rows1
Duplicate rows (%)0.1%
Total size in memory232.3 KiB
Average record size in memory179.1 B

Variable types

Categorical3
Text5
DateTime2
Unsupported4
Numeric7

Alerts

Dataset has 1 (0.1%) duplicate rowsDuplicates
영업상태구분코드 is highly imbalanced (65.0%)Imbalance
영업상태명 is highly imbalanced (51.3%)Imbalance
인허가취소일자 has 1328 (100.0%) missing valuesMissing
폐업일자 has 1172 (88.3%) missing valuesMissing
소재지시설전화번호 has 1324 (99.7%) missing valuesMissing
소재지면적정보 has 1328 (100.0%) missing valuesMissing
도로명우편번호 has 1223 (92.1%) missing valuesMissing
소재지도로명주소 has 217 (16.3%) missing valuesMissing
소재지우편번호 has 99 (7.5%) missing valuesMissing
WGS84위도 has 131 (9.9%) missing valuesMissing
WGS84경도 has 131 (9.9%) missing valuesMissing
업태구분명정보 has 1328 (100.0%) missing valuesMissing
X좌표값 has 1185 (89.2%) missing valuesMissing
Y좌표값 has 1185 (89.2%) missing valuesMissing
사용목적 has 101 (7.6%) missing valuesMissing
수용정원수 has 1171 (88.2%) missing valuesMissing
시설사용여부 has 1328 (100.0%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설사용여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 21:39:00.637273
Analysis finished2023-12-10 21:39:01.610651
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct31
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
화성시
180 
안산시
153 
광명시
123 
시흥시
110 
평택시
101 
Other values (26)
661 

Length

Max length4
Median length3
Mean length3.0150602
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
화성시 180
13.6%
안산시 153
11.5%
광명시 123
 
9.3%
시흥시 110
 
8.3%
평택시 101
 
7.6%
김포시 75
 
5.6%
수원시 73
 
5.5%
파주시 55
 
4.1%
의왕시 53
 
4.0%
용인시 51
 
3.8%
Other values (21) 354
26.7%

Length

2023-12-11T06:39:01.688972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화성시 180
13.6%
안산시 153
11.5%
광명시 123
 
9.3%
시흥시 110
 
8.3%
평택시 101
 
7.6%
김포시 75
 
5.6%
수원시 73
 
5.5%
파주시 55
 
4.1%
의왕시 53
 
4.0%
용인시 51
 
3.8%
Other values (21) 354
26.7%

사업장명
Text

Distinct1159
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
2023-12-11T06:39:02.008057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length21
Mean length8.1814759
Min length2

Characters and Unicode

Total characters10865
Distinct characters498
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

Unique1030 ?
Unique (%)77.6%

Sample

1st row국군청평병원
2nd row(주)예수의꽃동네유지재단 노체리안드리자애병원
3rd row육군제7021부대
4th row의료법인청심의료재단
5th row(재)예수의꽃동네유지재단
ValueCountFrequency (%)
주식회사 37
 
2.4%
육군 16
 
1.0%
의료법인 15
 
1.0%
성균관대학교 12
 
0.8%
삼성전자(주 9
 
0.6%
주 6
 
0.4%
경기도립의료원 5
 
0.3%
갤럭시아포토닉스(주 4
 
0.3%
주)유피케미칼 4
 
0.3%
주)진성큐엔에스 4
 
0.3%
Other values (1275) 1457
92.9%
2023-12-11T06:39:02.492063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 749
 
6.9%
) 710
 
6.5%
( 709
 
6.5%
원 262
 
2.4%
242
 
2.2%
이 205
 
1.9%
스 202
 
1.9%
성 173
 
1.6%
병 162
 
1.5%
대 154
 
1.4%
Other values (488) 7297
67.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8810
81.1%
Close Punctuation 714
 
6.6%
Open Punctuation 714
 
6.6%
Space Separator 242
 
2.2%
Decimal Number 202
 
1.9%
Uppercase Letter 134
 
1.2%
Other Punctuation 17
 
0.2%
Other Symbol 12
 
0.1%
Lowercase Letter 12
 
0.1%
Dash Punctuation 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 749
 
8.5%
원 262
 
3.0%
이 205
 
2.3%
스 202
 
2.3%
성 173
 
2.0%
병 162
 
1.8%
대 154
 
1.7%
리 150
 
1.7%
업 132
 
1.5%
산 125
 
1.4%
Other values (438) 6496
73.7%
Uppercase Letter
ValueCountFrequency (%)
G 22
16.4%
T 17
12.7%
L 17
12.7%
S 15
11.2%
I 9
 
6.7%
C 7
 
5.2%
K 6
 
4.5%
H 6
 
4.5%
E 5
 
3.7%
P 5
 
3.7%
Other values (11) 25
18.7%
Decimal Number
ValueCountFrequency (%)
1 41
20.3%
3 33
16.3%
2 26
12.9%
5 24
11.9%
0 21
10.4%
7 19
9.4%
6 14
 
6.9%
8 11
 
5.4%
9 7
 
3.5%
4 6
 
3.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
25.0%
r 2
16.7%
n 2
16.7%
d 1
 
8.3%
t 1
 
8.3%
o 1
 
8.3%
y 1
 
8.3%
g 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
. 11
64.7%
, 4
 
23.5%
: 2
 
11.8%
Close Punctuation
ValueCountFrequency (%)
) 710
99.4%
] 4
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 709
99.3%
[ 5
 
0.7%
Space Separator
ValueCountFrequency (%)
242
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8822
81.2%
Common 1897
 
17.5%
Latin 146
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 749
 
8.5%
원 262
 
3.0%
이 205
 
2.3%
스 202
 
2.3%
성 173
 
2.0%
병 162
 
1.8%
대 154
 
1.7%
리 150
 
1.7%
업 132
 
1.5%
산 125
 
1.4%
Other values (439) 6508
73.8%
Latin
ValueCountFrequency (%)
G 22
15.1%
T 17
11.6%
L 17
11.6%
S 15
10.3%
I 9
 
6.2%
C 7
 
4.8%
K 6
 
4.1%
H 6
 
4.1%
E 5
 
3.4%
P 5
 
3.4%
Other values (19) 37
25.3%
Common
ValueCountFrequency (%)
) 710
37.4%
( 709
37.4%
242
 
12.8%
1 41
 
2.2%
3 33
 
1.7%
2 26
 
1.4%
5 24
 
1.3%
0 21
 
1.1%
7 19
 
1.0%
6 14
 
0.7%
Other values (10) 58
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8810
81.1%
ASCII 2043
 
18.8%
None 12
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 749
 
8.5%
원 262
 
3.0%
이 205
 
2.3%
스 202
 
2.3%
성 173
 
2.0%
병 162
 
1.8%
대 154
 
1.7%
리 150
 
1.7%
업 132
 
1.5%
산 125
 
1.4%
Other values (438) 6496
73.7%
ASCII
ValueCountFrequency (%)
) 710
34.8%
( 709
34.7%
242
 
11.8%
1 41
 
2.0%
3 33
 
1.6%
2 26
 
1.3%
5 24
 
1.2%
G 22
 
1.1%
0 21
 
1.0%
7 19
 
0.9%
Other values (39) 196
 
9.6%
None
ValueCountFrequency (%)
㈜ 12
100.0%

인허가일자
Date

Distinct1113
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
Minimum1976-02-18 00:00:00
Maximum2023-12-05 00:00:00
2023-12-11T06:39:02.711175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:39:02.890020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1328
Missing (%)100.0%
Memory size11.8 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
<NA>
1171 
1
 
78
BBBB
 
49
2
 
30

Length

Max length4
Median length4
Mean length3.7560241
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1171
88.2%
1 78
 
5.9%
BBBB 49
 
3.7%
2 30
 
2.3%

Length

2023-12-11T06:39:03.054169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:39:03.174804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1171
88.2%
1 78
 
5.9%
bbbb 49
 
3.7%
2 30
 
2.3%

영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
운영중
1046 
폐업 등
125 
사용중
 
78
<NA>
 
49
폐업처리
 
30

Length

Max length4
Median length3
Mean length3.1536145
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 1046
78.8%
폐업 등 125
 
9.4%
사용중 78
 
5.9%
<NA> 49
 
3.7%
폐업처리 30
 
2.3%

Length

2023-12-11T06:39:03.307363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:39:03.438950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 1046
72.0%
폐업 125
 
8.6%
등 125
 
8.6%
사용중 78
 
5.4%
na 49
 
3.4%
폐업처리 30
 
2.1%

폐업일자
Date

MISSING 

Distinct125
Distinct (%)80.1%
Missing1172
Missing (%)88.3%
Memory size10.5 KiB
Minimum2003-04-17 00:00:00
Maximum2023-12-05 00:00:00
2023-12-11T06:39:03.557287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:39:03.957195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지시설전화번호
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing1324
Missing (%)99.7%
Memory size10.5 KiB
2023-12-11T06:39:04.097496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters44
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

Unique4 ?
Unique (%)100.0%

Sample

1st row032 6101111
2nd row031 4978272
3rd row031 4951630
4th row031 6808600
ValueCountFrequency (%)
031 3
37.5%
032 1
 
12.5%
6101111 1
 
12.5%
4978272 1
 
12.5%
4951630 1
 
12.5%
6808600 1
 
12.5%
2023-12-11T06:39:04.336652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9
20.5%
1 9
20.5%
3 5
11.4%
4
9.1%
6 4
9.1%
2 3
 
6.8%
8 3
 
6.8%
4 2
 
4.5%
9 2
 
4.5%
7 2
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40
90.9%
Space Separator 4
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9
22.5%
1 9
22.5%
3 5
12.5%
6 4
10.0%
2 3
 
7.5%
8 3
 
7.5%
4 2
 
5.0%
9 2
 
5.0%
7 2
 
5.0%
5 1
 
2.5%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 44
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9
20.5%
1 9
20.5%
3 5
11.4%
4
9.1%
6 4
9.1%
2 3
 
6.8%
8 3
 
6.8%
4 2
 
4.5%
9 2
 
4.5%
7 2
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9
20.5%
1 9
20.5%
3 5
11.4%
4
9.1%
6 4
9.1%
2 3
 
6.8%
8 3
 
6.8%
4 2
 
4.5%
9 2
 
4.5%
7 2
 
4.5%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1328
Missing (%)100.0%
Memory size11.8 KiB

도로명우편번호
Real number (ℝ)

MISSING 

Distinct72
Distinct (%)68.6%
Missing1223
Missing (%)92.1%
Infinite0
Infinite (%)0.0%
Mean15865.467
Minimum10040
Maximum18624
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 KiB
2023-12-11T06:39:04.503428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10040
5-th percentile12042
Q115367
median15847
Q317130
95-th percentile18487
Maximum18624
Range8584
Interquartile range (IQR)1763

Descriptive statistics

Standard deviation2054.0038
Coefficient of variation (CV)0.12946381
Kurtosis0.9727412
Mean15865.467
Median Absolute Deviation (MAD)1148
Skewness-1.0210937
Sum1665874
Variance4218931.6
MonotonicityNot monotonic
2023-12-11T06:39:04.633969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16419 12
 
0.9%
18487 4
 
0.3%
15658 3
 
0.2%
18449 3
 
0.2%
13840 2
 
0.2%
17086 2
 
0.2%
16922 2
 
0.2%
17050 2
 
0.2%
15617 2
 
0.2%
15588 2
 
0.2%
Other values (62) 71
 
5.3%
(Missing) 1223
92.1%
ValueCountFrequency (%)
10040 2
0.2%
10049 1
0.1%
10271 1
0.1%
10924 1
0.1%
12036 1
0.1%
12066 2
0.2%
12122 1
0.1%
12616 1
0.1%
12978 1
0.1%
13216 2
0.2%
ValueCountFrequency (%)
18624 1
 
0.1%
18623 1
 
0.1%
18553 1
 
0.1%
18513 1
 
0.1%
18511 1
 
0.1%
18487 4
0.3%
18449 3
0.2%
18280 1
 
0.1%
18256 1
 
0.1%
18124 1
 
0.1%

소재지도로명주소
Text

MISSING 

Distinct986
Distinct (%)88.7%
Missing217
Missing (%)16.3%
Memory size10.5 KiB
2023-12-11T06:39:04.938502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length49
Mean length23.969397
Min length13

Characters and Unicode

Total characters26630
Distinct characters383
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique901 ?
Unique (%)81.1%

Sample

1st row경기도 가평군 조종면 운악청계로 1203
2nd row경기도 가평군 가평읍 가화로 269
3rd row경기도 고양시 덕양구 혜음로 215 (벽제동)
4th row경기도 고양시 일산동구 성현로 149 (성석동)
5th row경기도 고양시 일산동구 성현로 615 (사리현동)
ValueCountFrequency (%)
경기도 1112
 
18.9%
화성시 164
 
2.8%
안산시 141
 
2.4%
단원구 125
 
2.1%
광명시 105
 
1.8%
평택시 88
 
1.5%
시흥시 75
 
1.3%
수원시 69
 
1.2%
김포시 63
 
1.1%
용인시 47
 
0.8%
Other values (1586) 3904
66.2%
2023-12-11T06:39:05.406515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4967
 
18.7%
시 1237
 
4.6%
기 1188
 
4.5%
도 1161
 
4.4%
경 1148
 
4.3%
로 1008
 
3.8%
1 867
 
3.3%
동 650
 
2.4%
2 590
 
2.2%
) 565
 
2.1%
Other values (373) 13249
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15831
59.4%
Space Separator 4967
 
18.7%
Decimal Number 4297
 
16.1%
Close Punctuation 565
 
2.1%
Open Punctuation 565
 
2.1%
Dash Punctuation 249
 
0.9%
Other Punctuation 110
 
0.4%
Uppercase Letter 35
 
0.1%
Lowercase Letter 10
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1237
 
7.8%
기 1188
 
7.5%
도 1161
 
7.3%
경 1148
 
7.3%
로 1008
 
6.4%
동 650
 
4.1%
길 447
 
2.8%
안 386
 
2.4%
구 372
 
2.3%
산 367
 
2.3%
Other values (331) 7867
49.7%
Uppercase Letter
ValueCountFrequency (%)
L 4
11.4%
D 4
11.4%
B 3
8.6%
I 3
8.6%
T 3
8.6%
C 3
8.6%
S 3
8.6%
G 2
 
5.7%
P 2
 
5.7%
J 2
 
5.7%
Other values (6) 6
17.1%
Decimal Number
ValueCountFrequency (%)
1 867
20.2%
2 590
13.7%
3 484
11.3%
5 402
9.4%
4 372
8.7%
6 351
8.2%
7 339
 
7.9%
8 318
 
7.4%
0 302
 
7.0%
9 272
 
6.3%
Lowercase Letter
ValueCountFrequency (%)
r 3
30.0%
u 2
20.0%
a 2
20.0%
o 1
 
10.0%
q 1
 
10.0%
e 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 105
95.5%
. 2
 
1.8%
& 1
 
0.9%
; 1
 
0.9%
/ 1
 
0.9%
Space Separator
ValueCountFrequency (%)
4967
100.0%
Close Punctuation
ValueCountFrequency (%)
) 565
100.0%
Open Punctuation
ValueCountFrequency (%)
( 565
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 249
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15830
59.4%
Common 10754
40.4%
Latin 45
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1237
 
7.8%
기 1188
 
7.5%
도 1161
 
7.3%
경 1148
 
7.3%
로 1008
 
6.4%
동 650
 
4.1%
길 447
 
2.8%
안 386
 
2.4%
구 372
 
2.3%
산 367
 
2.3%
Other values (330) 7866
49.7%
Latin
ValueCountFrequency (%)
L 4
 
8.9%
D 4
 
8.9%
B 3
 
6.7%
r 3
 
6.7%
I 3
 
6.7%
T 3
 
6.7%
C 3
 
6.7%
S 3
 
6.7%
G 2
 
4.4%
u 2
 
4.4%
Other values (12) 15
33.3%
Common
ValueCountFrequency (%)
4967
46.2%
1 867
 
8.1%
2 590
 
5.5%
) 565
 
5.3%
( 565
 
5.3%
3 484
 
4.5%
5 402
 
3.7%
4 372
 
3.5%
6 351
 
3.3%
7 339
 
3.2%
Other values (10) 1252
 
11.6%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15830
59.4%
ASCII 10799
40.6%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4967
46.0%
1 867
 
8.0%
2 590
 
5.5%
) 565
 
5.2%
( 565
 
5.2%
3 484
 
4.5%
5 402
 
3.7%
4 372
 
3.4%
6 351
 
3.3%
7 339
 
3.1%
Other values (32) 1297
 
12.0%
Hangul
ValueCountFrequency (%)
시 1237
 
7.8%
기 1188
 
7.5%
도 1161
 
7.3%
경 1148
 
7.3%
로 1008
 
6.4%
동 650
 
4.1%
길 447
 
2.8%
안 386
 
2.4%
구 372
 
2.3%
산 367
 
2.3%
Other values (330) 7866
49.7%
CJK
ValueCountFrequency (%)
內 1
100.0%

소재지지번주소
Text

Distinct1193
Distinct (%)90.0%
Missing3
Missing (%)0.2%
Memory size10.5 KiB
2023-12-11T06:39:05.806510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length44
Mean length22.62566
Min length11

Characters and Unicode

Total characters29979
Distinct characters361
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1103 ?
Unique (%)83.2%

Sample

1st row경기도 가평군 외서면 청평리 사서함567-21
2nd row경기도 가평군 하면 하판리 540-2번지
3rd row경기도 가평군 하면 현리 사서함 102-8호
4th row경기도 가평군 설악면 송산리 산 72번지
5th row경기도 가평군 하면 하판리 산 130-7 번지
ValueCountFrequency (%)
경기도 1326
 
20.1%
화성시 178
 
2.7%
안산시 153
 
2.3%
단원구 134
 
2.0%
광명시 123
 
1.9%
시흥시 110
 
1.7%
평택시 101
 
1.5%
정왕동 92
 
1.4%
번지 85
 
1.3%
김포시 75
 
1.1%
Other values (1893) 4223
64.0%
2023-12-11T06:39:06.265418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5564
18.6%
시 1494
 
5.0%
기 1370
 
4.6%
도 1358
 
4.5%
경 1330
 
4.4%
지 1182
 
3.9%
번 1100
 
3.7%
1 977
 
3.3%
동 953
 
3.2%
- 892
 
3.0%
Other values (351) 13759
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18099
60.4%
Space Separator 5564
 
18.6%
Decimal Number 5239
 
17.5%
Dash Punctuation 892
 
3.0%
Uppercase Letter 70
 
0.2%
Close Punctuation 42
 
0.1%
Open Punctuation 42
 
0.1%
Other Punctuation 16
 
0.1%
Lowercase Letter 10
 
< 0.1%
Other Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1494
 
8.3%
기 1370
 
7.6%
도 1358
 
7.5%
경 1330
 
7.3%
지 1182
 
6.5%
번 1100
 
6.1%
동 953
 
5.3%
리 475
 
2.6%
구 419
 
2.3%
안 380
 
2.1%
Other values (304) 8038
44.4%
Uppercase Letter
ValueCountFrequency (%)
L 10
14.3%
B 8
11.4%
T 8
11.4%
D 7
10.0%
C 6
8.6%
G 5
7.1%
I 5
7.1%
S 5
7.1%
A 4
 
5.7%
R 2
 
2.9%
Other values (8) 10
14.3%
Decimal Number
ValueCountFrequency (%)
1 977
18.6%
2 680
13.0%
3 619
11.8%
4 508
9.7%
5 481
9.2%
6 452
8.6%
7 435
8.3%
0 423
8.1%
8 340
 
6.5%
9 324
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
r 3
30.0%
u 2
20.0%
a 2
20.0%
q 1
 
10.0%
e 1
 
10.0%
o 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 11
68.8%
/ 2
 
12.5%
; 1
 
6.2%
& 1
 
6.2%
. 1
 
6.2%
Close Punctuation
ValueCountFrequency (%)
) 41
97.6%
] 1
 
2.4%
Open Punctuation
ValueCountFrequency (%)
( 41
97.6%
[ 1
 
2.4%
Space Separator
ValueCountFrequency (%)
5564
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 892
100.0%
Other Symbol
ValueCountFrequency (%)
㉴ 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18102
60.4%
Common 11796
39.3%
Latin 80
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1494
 
8.3%
기 1370
 
7.6%
도 1358
 
7.5%
경 1330
 
7.3%
지 1182
 
6.5%
번 1100
 
6.1%
동 953
 
5.3%
리 475
 
2.6%
구 419
 
2.3%
안 380
 
2.1%
Other values (304) 8041
44.4%
Latin
ValueCountFrequency (%)
L 10
12.5%
B 8
10.0%
T 8
10.0%
D 7
 
8.8%
C 6
 
7.5%
G 5
 
6.2%
I 5
 
6.2%
S 5
 
6.2%
A 4
 
5.0%
r 3
 
3.8%
Other values (14) 19
23.8%
Common
ValueCountFrequency (%)
5564
47.2%
1 977
 
8.3%
- 892
 
7.6%
2 680
 
5.8%
3 619
 
5.2%
4 508
 
4.3%
5 481
 
4.1%
6 452
 
3.8%
7 435
 
3.7%
0 423
 
3.6%
Other values (12) 765
 
6.5%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18098
60.4%
ASCII 11876
39.6%
None 4
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5564
46.9%
1 977
 
8.2%
- 892
 
7.5%
2 680
 
5.7%
3 619
 
5.2%
4 508
 
4.3%
5 481
 
4.1%
6 452
 
3.8%
7 435
 
3.7%
0 423
 
3.6%
Other values (36) 845
 
7.1%
Hangul
ValueCountFrequency (%)
시 1494
 
8.3%
기 1370
 
7.6%
도 1358
 
7.5%
경 1330
 
7.3%
지 1182
 
6.5%
번 1100
 
6.1%
동 953
 
5.3%
리 475
 
2.6%
구 419
 
2.3%
안 380
 
2.1%
Other values (303) 8037
44.4%
None
ValueCountFrequency (%)
㉴ 4
100.0%
CJK
ValueCountFrequency (%)
內 1
100.0%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct634
Distinct (%)51.6%
Missing99
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean15126.631
Minimum10003
Maximum18632
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 KiB
2023-12-11T06:39:06.404122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10003
5-th percentile10089.2
Q114059
median15421
Q317405
95-th percentile18542
Maximum18632
Range8629
Interquartile range (IQR)3346

Descriptive statistics

Standard deviation2583.8697
Coefficient of variation (CV)0.17081595
Kurtosis-0.73257537
Mean15126.631
Median Absolute Deviation (MAD)1759
Skewness-0.50610932
Sum18590629
Variance6676382.6
MonotonicityNot monotonic
2023-12-11T06:39:06.547043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15119 27
 
2.0%
16678 16
 
1.2%
16419 14
 
1.1%
15429 13
 
1.0%
14303 11
 
0.8%
18487 11
 
0.8%
14240 10
 
0.8%
10845 10
 
0.8%
17792 9
 
0.7%
17949 9
 
0.7%
Other values (624) 1099
82.8%
(Missing) 99
 
7.5%
ValueCountFrequency (%)
10003 3
0.2%
10010 2
0.2%
10011 4
0.3%
10012 2
0.2%
10014 1
 
0.1%
10015 1
 
0.1%
10016 4
0.3%
10018 1
 
0.1%
10021 2
0.2%
10022 2
0.2%
ValueCountFrequency (%)
18632 1
 
0.1%
18631 1
 
0.1%
18629 1
 
0.1%
18628 3
0.2%
18627 1
 
0.1%
18626 1
 
0.1%
18625 1
 
0.1%
18624 3
0.2%
18623 5
0.4%
18622 2
 
0.2%

WGS84위도
Real number (ℝ)

MISSING 

Distinct1011
Distinct (%)84.5%
Missing131
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean37.36769
Minimum36.953417
Maximum38.032871
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 KiB
2023-12-11T06:39:06.689235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.953417
5-th percentile37.033649
Q137.215075
median37.324303
Q337.475273
95-th percentile37.821636
Maximum38.032871
Range1.0794539
Interquartile range (IQR)0.26019803

Descriptive statistics

Standard deviation0.22979063
Coefficient of variation (CV)0.006149447
Kurtosis-0.074391275
Mean37.36769
Median Absolute Deviation (MAD)0.14031936
Skewness0.62810051
Sum44729.125
Variance0.052803732
MonotonicityNot monotonic
2023-12-11T06:39:06.833610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.2546692688 12
 
0.9%
37.8098859526 9
 
0.7%
37.2652382417 7
 
0.5%
37.2922866384 6
 
0.5%
37.2598171797 5
 
0.4%
37.3243027313 5
 
0.4%
37.1700187295 5
 
0.4%
37.2622621244 5
 
0.4%
37.3821704516 5
 
0.4%
36.9539581621 4
 
0.3%
Other values (1001) 1134
85.4%
(Missing) 131
 
9.9%
ValueCountFrequency (%)
36.9534167082 1
 
0.1%
36.9539581621 4
0.3%
36.9557955064 2
0.2%
36.9588943557 1
 
0.1%
36.9596905456 1
 
0.1%
36.9611842833 1
 
0.1%
36.96312043 1
 
0.1%
36.9708293278 2
0.2%
36.9719730118 1
 
0.1%
36.9741923157 1
 
0.1%
ValueCountFrequency (%)
38.0328706418 1
0.1%
38.0248997679 1
0.1%
38.0130078376 1
0.1%
38.0121427137 1
0.1%
38.0112882267 1
0.1%
37.9993740747 1
0.1%
37.9985477018 1
0.1%
37.9721760353 1
0.1%
37.9656139738 1
0.1%
37.9573905396 1
0.1%

WGS84경도
Real number (ℝ)

MISSING 

Distinct1011
Distinct (%)84.5%
Missing131
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean126.93122
Minimum126.54568
Maximum127.69137
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 KiB
2023-12-11T06:39:06.999912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.54568
5-th percentile126.66811
Q1126.78081
median126.88846
Q3127.05869
95-th percentile127.26655
Maximum127.69137
Range1.1456948
Interquartile range (IQR)0.27788247

Descriptive statistics

Standard deviation0.19500703
Coefficient of variation (CV)0.0015363205
Kurtosis0.56517545
Mean126.93122
Median Absolute Deviation (MAD)0.12476005
Skewness0.70284471
Sum151936.67
Variance0.038027742
MonotonicityNot monotonic
2023-12-11T06:39:07.153384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0574584982 12
 
0.9%
126.7740169561 9
 
0.7%
127.0586936504 7
 
0.5%
126.97833053 6
 
0.5%
127.0228858068 5
 
0.4%
126.9502079176 5
 
0.4%
127.0875094125 5
 
0.4%
127.0510985428 5
 
0.4%
126.9442621544 5
 
0.4%
126.8535453403 4
 
0.3%
Other values (1001) 1134
85.4%
(Missing) 131
 
9.9%
ValueCountFrequency (%)
126.5456797696 1
0.1%
126.5520649873 1
0.1%
126.5582566359 1
0.1%
126.5599267174 1
0.1%
126.5626834883 1
0.1%
126.5641169987 2
0.2%
126.568840856 1
0.1%
126.5701713944 1
0.1%
126.570979976 1
0.1%
126.5728392966 1
0.1%
ValueCountFrequency (%)
127.6913745235 1
0.1%
127.6691950314 1
0.1%
127.6686207363 1
0.1%
127.6438940339 1
0.1%
127.607277002 1
0.1%
127.5242065939 1
0.1%
127.5226680192 1
0.1%
127.5164539446 1
0.1%
127.5127721148 1
0.1%
127.5113390411 1
0.1%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1328
Missing (%)100.0%
Memory size11.8 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct114
Distinct (%)79.7%
Missing1185
Missing (%)89.2%
Infinite0
Infinite (%)0.0%
Mean196240.97
Minimum160747.48
Maximum261296.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 KiB
2023-12-11T06:39:07.295919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum160747.48
5-th percentile176157.54
Q1180799.07
median197655.31
Q3207708.77
95-th percentile221026.05
Maximum261296.01
Range100548.53
Interquartile range (IQR)26909.697

Descriptive statistics

Standard deviation17757.529
Coefficient of variation (CV)0.090488391
Kurtosis1.2860955
Mean196240.97
Median Absolute Deviation (MAD)12374.429
Skewness0.82135387
Sum28062458
Variance3.1532985 × 108
MonotonicityNot monotonic
2023-12-11T06:39:07.472684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
197655.310801404 12
 
0.9%
187054.95645128 4
 
0.3%
215403.82764465 2
 
0.2%
207708.769471649 2
 
0.2%
206146.761483171 2
 
0.2%
186835.74566717 2
 
0.2%
180652.737708492 2
 
0.2%
217774.903307083 2
 
0.2%
209249.137112665 2
 
0.2%
206267.514895596 2
 
0.2%
Other values (104) 111
 
8.4%
(Missing) 1185
89.2%
ValueCountFrequency (%)
160747.479047948 1
0.1%
162086.414062317 1
0.1%
164624.978434478 1
0.1%
164899.069085696 1
0.1%
171708.094071653 1
0.1%
174399.775786821 1
0.1%
175672.543687341 1
0.1%
176145.681 1
0.1%
176264.295122722 1
0.1%
176687.336475689 1
0.1%
ValueCountFrequency (%)
261296.012494396 1
0.1%
253758.430578777 1
0.1%
245321.837789033 1
0.1%
243797.609789475 1
0.1%
243790.273302153 1
0.1%
226812.086367703 1
0.1%
223638.543835055 1
0.1%
221076.915144882 1
0.1%
220568.289090259 1
0.1%
218371.463653384 1
0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct114
Distinct (%)79.7%
Missing1185
Missing (%)89.2%
Infinite0
Infinite (%)0.0%
Mean423136.7
Minimum383650.45
Maximum484835.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 KiB
2023-12-11T06:39:07.625433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum383650.45
5-th percentile386639.47
Q1413126.84
median421390.43
Q3429395.14
95-th percentile467381.29
Maximum484835.1
Range101184.65
Interquartile range (IQR)16268.307

Descriptive statistics

Standard deviation20912.284
Coefficient of variation (CV)0.049422051
Kurtosis0.78345358
Mean423136.7
Median Absolute Deviation (MAD)8263.5944
Skewness0.62577746
Sum60508548
Variance4.373236 × 108
MonotonicityNot monotonic
2023-12-11T06:39:07.773215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
421305.50595434 12
 
0.9%
383650.447760523 4
 
0.3%
436754.892149822 2
 
0.2%
407548.029314011 2
 
0.2%
413384.698719882 2
 
0.2%
385443.748839059 2
 
0.2%
484835.096499462 2
 
0.2%
414848.291964864 2
 
0.2%
421390.432824782 2
 
0.2%
419545.712920044 2
 
0.2%
Other values (104) 111
 
8.4%
(Missing) 1185
89.2%
ValueCountFrequency (%)
383650.447760523 4
0.3%
385443.748839059 2
0.2%
385966.446334492 1
 
0.1%
386635.563336144 1
 
0.1%
386674.627877939 1
 
0.1%
388650.501820754 1
 
0.1%
391515.811880843 1
 
0.1%
394572.387611173 1
 
0.1%
394642.378913036 1
 
0.1%
397001.036846382 1
 
0.1%
ValueCountFrequency (%)
484835.096499462 2
0.2%
472857.162113743 1
0.1%
469855.579643428 1
0.1%
468501.314161012 1
0.1%
467663.54013883 2
0.2%
467656.098723566 1
0.1%
464908.029994023 1
0.1%
464240.655858408 2
0.2%
460945.223824641 1
0.1%
460718.517347065 1
0.1%

사용목적
Text

MISSING 

Distinct697
Distinct (%)56.8%
Missing101
Missing (%)7.6%
Memory size10.5 KiB
2023-12-11T06:39:08.113941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length6.6185819
Min length1

Characters and Unicode

Total characters8121
Distinct characters360
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique578 ?
Unique (%)47.1%

Sample

1st row의료용
2nd row환자용산소공급
3rd row예하부대보급용 저장
4th row의료용
5th row소독용
ValueCountFrequency (%)
의료용 90
 
4.4%
난방 73
 
3.6%
열처리 65
 
3.2%
및 60
 
2.9%
열처리용 47
 
2.3%
절단 45
 
2.2%
사용 44
 
2.2%
용접 38
 
1.9%
반도체 35
 
1.7%
연구용 35
 
1.7%
Other values (772) 1514
74.0%
2023-12-11T06:39:08.624248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
용 829
 
10.2%
821
 
10.1%
리 195
 
2.4%
공 183
 
2.3%
열 173
 
2.1%
처 173
 
2.1%
산 166
 
2.0%
료 165
 
2.0%
제 160
 
2.0%
단 152
 
1.9%
Other values (350) 5104
62.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6747
83.1%
Space Separator 821
 
10.1%
Uppercase Letter 157
 
1.9%
Decimal Number 107
 
1.3%
Other Punctuation 91
 
1.1%
Lowercase Letter 71
 
0.9%
Open Punctuation 53
 
0.7%
Close Punctuation 53
 
0.7%
Dash Punctuation 19
 
0.2%
Modifier Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 829
 
12.3%
리 195
 
2.9%
공 183
 
2.7%
열 173
 
2.6%
처 173
 
2.6%
산 166
 
2.5%
료 165
 
2.4%
제 160
 
2.4%
단 152
 
2.3%
사 147
 
2.2%
Other values (288) 4404
65.3%
Lowercase Letter
ValueCountFrequency (%)
e 10
14.1%
a 10
14.1%
t 8
11.3%
s 7
9.9%
m 6
 
8.5%
g 4
 
5.6%
n 3
 
4.2%
i 3
 
4.2%
p 2
 
2.8%
b 2
 
2.8%
Other values (11) 16
22.5%
Uppercase Letter
ValueCountFrequency (%)
L 18
11.5%
E 17
10.8%
D 16
10.2%
T 14
8.9%
C 14
8.9%
H 13
8.3%
A 13
8.3%
G 8
 
5.1%
S 8
 
5.1%
B 7
 
4.5%
Other values (9) 29
18.5%
Decimal Number
ValueCountFrequency (%)
0 30
28.0%
1 24
22.4%
2 24
22.4%
3 8
 
7.5%
8 5
 
4.7%
4 4
 
3.7%
7 4
 
3.7%
5 4
 
3.7%
9 2
 
1.9%
6 2
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 72
79.1%
. 10
 
11.0%
/ 6
 
6.6%
* 2
 
2.2%
: 1
 
1.1%
Open Punctuation
ValueCountFrequency (%)
( 51
96.2%
[ 2
 
3.8%
Close Punctuation
ValueCountFrequency (%)
) 51
96.2%
] 2
 
3.8%
Space Separator
ValueCountFrequency (%)
821
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6747
83.1%
Common 1147
 
14.1%
Latin 227
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 829
 
12.3%
리 195
 
2.9%
공 183
 
2.7%
열 173
 
2.6%
처 173
 
2.6%
산 166
 
2.5%
료 165
 
2.4%
제 160
 
2.4%
단 152
 
2.3%
사 147
 
2.2%
Other values (288) 4404
65.3%
Latin
ValueCountFrequency (%)
L 18
 
7.9%
E 17
 
7.5%
D 16
 
7.0%
T 14
 
6.2%
C 14
 
6.2%
H 13
 
5.7%
A 13
 
5.7%
e 10
 
4.4%
a 10
 
4.4%
t 8
 
3.5%
Other values (29) 94
41.4%
Common
ValueCountFrequency (%)
821
71.6%
, 72
 
6.3%
( 51
 
4.4%
) 51
 
4.4%
0 30
 
2.6%
1 24
 
2.1%
2 24
 
2.1%
- 19
 
1.7%
. 10
 
0.9%
3 8
 
0.7%
Other values (13) 37
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6744
83.0%
ASCII 1373
 
16.9%
Compat Jamo 3
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
용 829
 
12.3%
리 195
 
2.9%
공 183
 
2.7%
열 173
 
2.6%
처 173
 
2.6%
산 166
 
2.5%
료 165
 
2.4%
제 160
 
2.4%
단 152
 
2.3%
사 147
 
2.2%
Other values (286) 4401
65.3%
ASCII
ValueCountFrequency (%)
821
59.8%
, 72
 
5.2%
( 51
 
3.7%
) 51
 
3.7%
0 30
 
2.2%
1 24
 
1.7%
2 24
 
1.7%
- 19
 
1.4%
L 18
 
1.3%
E 17
 
1.2%
Other values (51) 246
 
17.9%
Compat Jamo
ValueCountFrequency (%)
ㄹ 2
66.7%
ㅇ 1
33.3%
Letterlike Symbols
ValueCountFrequency (%)
ℓ 1
100.0%

수용정원수
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)22.9%
Missing1171
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean82.121019
Minimum0
Maximum1100
Zeros12
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size11.8 KiB
2023-12-11T06:39:08.770494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median9
Q350
95-th percentile476
Maximum1100
Range1100
Interquartile range (IQR)46

Descriptive statistics

Standard deviation199.76628
Coefficient of variation (CV)2.4325841
Kurtosis15.692979
Mean82.121019
Median Absolute Deviation (MAD)7
Skewness3.793363
Sum12893
Variance39906.569
MonotonicityNot monotonic
2023-12-11T06:39:08.947621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
10 23
 
1.7%
5 18
 
1.4%
1 15
 
1.1%
6 13
 
1.0%
0 12
 
0.9%
3 7
 
0.5%
50 5
 
0.4%
2 5
 
0.4%
100 5
 
0.4%
500 4
 
0.3%
Other values (26) 50
 
3.8%
(Missing) 1171
88.2%
ValueCountFrequency (%)
0 12
0.9%
1 15
1.1%
2 5
 
0.4%
3 7
 
0.5%
4 4
 
0.3%
5 18
1.4%
6 13
1.0%
7 3
 
0.2%
9 2
 
0.2%
10 23
1.7%
ValueCountFrequency (%)
1100 4
0.3%
500 4
0.3%
470 2
0.2%
350 2
0.2%
300 1
 
0.1%
287 1
 
0.1%
250 2
0.2%
229 2
0.2%
220 1
 
0.1%
200 2
0.2%

시설사용여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1328
Missing (%)100.0%
Memory size11.8 KiB

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값사용목적수용정원수시설사용여부
0가평군국군청평병원20031128<NA><NA>운영중<NA><NA><NA><NA><NA>경기도 가평군 외서면 청평리 사서함567-21<NA><NA><NA><NA><NA><NA>의료용<NA><NA>
1가평군(주)예수의꽃동네유지재단 노체리안드리자애병원20070306<NA><NA>운영중<NA><NA><NA><NA><NA>경기도 가평군 하면 하판리 540-2번지1243237.884883127.351696<NA><NA><NA>환자용산소공급<NA><NA>
2가평군육군제7021부대20061207<NA><NA>운영중<NA><NA><NA><NA><NA>경기도 가평군 하면 현리 사서함 102-8호<NA><NA><NA><NA><NA><NA>예하부대보급용 저장<NA><NA>
3가평군의료법인청심의료재단20030313<NA><NA>운영중<NA><NA><NA><NA><NA>경기도 가평군 설악면 송산리 산 72번지1246137.690692127.522668<NA><NA><NA>의료용<NA><NA>
4가평군(재)예수의꽃동네유지재단20070328<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 조종면 운악청계로 1203경기도 가평군 하면 하판리 산 130-7 번지1243237.91133127.340034<NA><NA><NA>소독용<NA><NA>
5가평군육군 제7297부대20151022<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 가평읍 가화로 269경기도 가평군 가평읍 승안리 47번지 외1240837.841618127.4998<NA><NA><NA>이동식 용접 및 절단<NA><NA>
6가평군가평군상하수도사업소20071010<NA><NA>폐업 등20161221<NA><NA><NA><NA>경기도 가평군 하면 현리 215-3번지 현리정수장1243737.824816127.345626<NA><NA><NA>정수장 소독용<NA><NA>
7고양시삼표레일웨이 주식회사2023-07-12<NA>1사용중<NA><NA><NA><NA><NA>경기도 고양시 일산서구 대화동 382-21021637.680212126.736518<NA>176691.542757464240.655858GTX-A 2공구 레일용접작업(1동)6<NA>
8고양시석정건설(주)2023-09-26<NA>1사용중<NA><NA><NA><NA><NA>경기도 고양시 덕양구 도내동 ,용두동 수도권광역급행철도 GTX-A 4공구 건설현장<NA><NA><NA><NA><NA><NA>레일용접0<NA>
9고양시국군고양병원2023-08-07<NA>1사용중<NA><NA><NA>10271경기도 고양시 덕양구 혜음로 215 (벽제동)경기도 고양시 덕양구 벽제동 335-11027137.719372126.898091<NA>190847.59396468501.314161의료300<NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값사용목적수용정원수시설사용여부
1318화성시존슨매티카탈리스트코리아(주)20071205<NA><NA>폐업 등20170217<NA><NA><NA><NA>경기도 화성시 장안면 금의리 23번지 장안지방산업단지18580<NA><NA><NA><NA><NA>제품생산<NA><NA>
1319화성시(주)에스에프에이20100504<NA><NA>폐업 등20160615<NA><NA><NA><NA>경기도 화성시 동탄면 중리 691번지18465<NA><NA><NA><NA><NA>PECVD 장비개발용<NA><NA>
1320화성시대성금속열처리20091019<NA><NA>폐업 등20151109<NA><NA><NA>경기도 화성시 팔탄면 버들로1362번길 15-3경기도 화성시 팔탄면 서근리 224번지1857837.125809126.855858<NA><NA><NA>열처리<NA><NA>
1321화성시존슨매티카탈리스트코리아20100125<NA><NA>폐업 등20170217<NA><NA><NA><NA>경기도 화성시 장안면 금의리 759-9번지1857937.110896126.836946<NA><NA><NA>자동차 매연 총매장치<NA><NA>
1322화성시한국금속분말20030221<NA><NA>폐업 등20160805<NA><NA><NA>경기도 화성시 남양읍 신남로 269경기도 화성시 신남동 1417-1번지1826937.172698126.798418<NA><NA><NA>산업용(열처리용 분위기가스)<NA><NA>
1323화성시화성유일병원2023-05-30<NA>BBBB<NA><NA><NA><NA>18256경기도 화성시 남양읍 남양로920번길 6경기도 화성시 남양읍 북양리 691-11825637.217785126.832659<NA>185071.748551412891.236742의료용 산소220<NA>
1324화성시현스틸2023-06-07<NA>BBBB<NA><NA><NA><NA>18553경기도 화성시 서신면 제부로654번길 129경기도 화성시 서신면 장외리 530-1691855337.164231126.682589<NA>171708.094072406989.130531산업용 액화산소5<NA>
1325화성시현대자동차(주) 남양연구소2023-08-16<NA>BBBB<NA><NA><NA><NA>18280경기도 화성시 남양읍 현대연구소로 150경기도 화성시 남양읍 장덕리 772-11828037.159401126.813508<NA>183629.624815405905.580491장비테스트용10<NA>
1326화성시(주)뉴파워프라즈마2023-11-01<NA>BBBB<NA><NA><NA><NA>18623경기도 화성시 향남읍 발안공단로3길 74경기도 화성시 향남읍 구문천리 935-111862337.081652126.910326<NA>191975.162938397767.833385반도체 제품 개발6<NA>
1327화성시코닉스(주)2023-05-16<NA>BBBB<NA><NA><NA><NA>18624경기도 화성시 향남읍 발안로 644-46경기도 화성시 향남읍 길성리 69-101862437.121207126.975612<NA>197767.813962402172.431418반도체장비 제작10<NA>

Duplicate rows

Most frequently occurring

시군명사업장명인허가일자영업상태구분코드영업상태명폐업일자소재지시설전화번호도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도X좌표값Y좌표값사용목적수용정원수# duplicates
0수원시성균관대학교2023-07-10BBBB<NA><NA><NA>16419경기도 수원시 장안구 서부로 2066, 성균관대학교 제1종합연구동 81810호 (천천동)경기도 수원시 장안구 천천동 585 성균관대학교1641937.292287126.978331197655.310801421305.505954연구용12