Overview

Dataset statistics

Number of variables22
Number of observations429
Missing cells3591
Missing cells (%)38.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory78.1 KiB
Average record size in memory186.3 B

Variable types

Categorical6
Text5
DateTime2
Unsupported3
Numeric5
Boolean1

Alerts

문화체육업종명 has constant value ""Constant
공사립구분명 has constant value ""Constant
보험가입여부코드 has constant value ""Constant
영업상태구분코드 is highly imbalanced (90.5%)Imbalance
영업상태명 is highly imbalanced (55.6%)Imbalance
회원모집총인원 is highly imbalanced (89.2%)Imbalance
인허가취소일자 has 429 (100.0%) missing valuesMissing
폐업일자 has 167 (38.9%) missing valuesMissing
소재지시설전화번호 has 425 (99.1%) missing valuesMissing
소재지면적정보 has 429 (100.0%) missing valuesMissing
도로명우편번호 has 420 (97.9%) missing valuesMissing
소재지도로명주소 has 14 (3.3%) missing valuesMissing
WGS84위도 has 8 (1.9%) missing valuesMissing
WGS84경도 has 8 (1.9%) missing valuesMissing
업태구분명정보 has 429 (100.0%) missing valuesMissing
X좌표값 has 419 (97.7%) missing valuesMissing
Y좌표값 has 419 (97.7%) missing valuesMissing
보험가입여부코드 has 424 (98.8%) 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

Reproduction

Analysis started2023-12-10 21:00:35.040010
Analysis finished2023-12-10 21:00:35.759253
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct28
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
수원시
54 
부천시
49 
성남시
40 
고양시
36 
안양시
35 
Other values (23)
215 

Length

Max length4
Median length3
Mean length3.1142191
Min length3

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
수원시 54
12.6%
부천시 49
11.4%
성남시 40
9.3%
고양시 36
 
8.4%
안양시 35
 
8.2%
의정부시 33
 
7.7%
안산시 24
 
5.6%
평택시 23
 
5.4%
시흥시 18
 
4.2%
용인시 18
 
4.2%
Other values (18) 99
23.1%

Length

2023-12-11T06:00:35.832428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 54
12.6%
부천시 49
11.4%
성남시 40
9.3%
고양시 36
 
8.4%
안양시 35
 
8.2%
의정부시 33
 
7.7%
안산시 24
 
5.6%
평택시 23
 
5.4%
시흥시 18
 
4.2%
용인시 18
 
4.2%
Other values (18) 99
23.1%

사업장명
Text

Distinct365
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-11T06:00:36.214767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length7.3659674
Min length1

Characters and Unicode

Total characters3160
Distinct characters301
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique328 ?
Unique (%)76.5%

Sample

1st row현대무도학원
2nd row가평무도학원
3rd row강은지 댄스스포츠&줌바
4th row제일무도학원
5th row국제무도학원
ValueCountFrequency (%)
댄스스포츠 25
 
4.7%
무도학원 17
 
3.2%
댄스 13
 
2.4%
한국무도학원 12
 
2.3%
스포츠 12
 
2.3%
국제무도학원 6
 
1.1%
제일무도학원 5
 
0.9%
댄스스포츠학원 5
 
0.9%
학원 5
 
0.9%
삼삼무도학원 4
 
0.8%
Other values (378) 428
80.5%
2023-12-11T06:00:36.837891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 342
 
10.8%
원 308
 
9.7%
학 293
 
9.3%
무 250
 
7.9%
도 250
 
7.9%
댄 174
 
5.5%
포 145
 
4.6%
츠 143
 
4.5%
103
 
3.3%
미 35
 
1.1%
Other values (291) 1117
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3009
95.2%
Space Separator 103
 
3.3%
Uppercase Letter 19
 
0.6%
Other Punctuation 9
 
0.3%
Lowercase Letter 6
 
0.2%
Open Punctuation 5
 
0.2%
Close Punctuation 5
 
0.2%
Decimal Number 3
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 342
 
11.4%
원 308
 
10.2%
학 293
 
9.7%
무 250
 
8.3%
도 250
 
8.3%
댄 174
 
5.8%
포 145
 
4.8%
츠 143
 
4.8%
미 35
 
1.2%
한 32
 
1.1%
Other values (263) 1037
34.5%
Uppercase Letter
ValueCountFrequency (%)
J 4
21.1%
B 3
15.8%
Y 2
10.5%
D 1
 
5.3%
H 1
 
5.3%
S 1
 
5.3%
K 1
 
5.3%
P 1
 
5.3%
W 1
 
5.3%
R 1
 
5.3%
Other values (3) 3
15.8%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
s 1
16.7%
n 1
16.7%
u 1
16.7%
i 1
16.7%
Other Punctuation
ValueCountFrequency (%)
& 6
66.7%
. 2
 
22.2%
: 1
 
11.1%
Decimal Number
ValueCountFrequency (%)
4 1
33.3%
1 1
33.3%
2 1
33.3%
Space Separator
ValueCountFrequency (%)
103
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3009
95.2%
Common 126
 
4.0%
Latin 25
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 342
 
11.4%
원 308
 
10.2%
학 293
 
9.7%
무 250
 
8.3%
도 250
 
8.3%
댄 174
 
5.8%
포 145
 
4.8%
츠 143
 
4.8%
미 35
 
1.2%
한 32
 
1.1%
Other values (263) 1037
34.5%
Latin
ValueCountFrequency (%)
J 4
16.0%
B 3
 
12.0%
e 2
 
8.0%
Y 2
 
8.0%
D 1
 
4.0%
H 1
 
4.0%
s 1
 
4.0%
n 1
 
4.0%
u 1
 
4.0%
S 1
 
4.0%
Other values (8) 8
32.0%
Common
ValueCountFrequency (%)
103
81.7%
& 6
 
4.8%
( 5
 
4.0%
) 5
 
4.0%
. 2
 
1.6%
: 1
 
0.8%
4 1
 
0.8%
1 1
 
0.8%
2 1
 
0.8%
- 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3009
95.2%
ASCII 151
 
4.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 342
 
11.4%
원 308
 
10.2%
학 293
 
9.7%
무 250
 
8.3%
도 250
 
8.3%
댄 174
 
5.8%
포 145
 
4.8%
츠 143
 
4.8%
미 35
 
1.2%
한 32
 
1.1%
Other values (263) 1037
34.5%
ASCII
ValueCountFrequency (%)
103
68.2%
& 6
 
4.0%
( 5
 
3.3%
) 5
 
3.3%
J 4
 
2.6%
B 3
 
2.0%
. 2
 
1.3%
e 2
 
1.3%
Y 2
 
1.3%
D 1
 
0.7%
Other values (18) 18
 
11.9%

인허가일자
Date

Distinct399
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
Minimum1991-10-07 00:00:00
Maximum2023-09-20 00:00:00
2023-12-11T06:00:37.061904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:37.273089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing429
Missing (%)100.0%
Memory size3.9 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
419 
13
 
6
3
 
3
35
 
1

Length

Max length4
Median length4
Mean length3.9463869
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row13

Common Values

ValueCountFrequency (%)
<NA> 419
97.7%
13 6
 
1.4%
3 3
 
0.7%
35 1
 
0.2%

Length

2023-12-11T06:00:37.481208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:00:37.941192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 419
97.7%
13 6
 
1.4%
3 3
 
0.7%
35 1
 
0.2%

영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
폐업 등
258 
운영중
160 
영업중
 
6
폐업
 
3
휴업 등
 
1

Length

Max length4
Median length4
Mean length3.5990676
Min length2

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 등 258
60.1%
운영중 160
37.3%
영업중 6
 
1.4%
폐업 3
 
0.7%
휴업 등 1
 
0.2%
직권말소 1
 
0.2%

Length

2023-12-11T06:00:38.100663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:00:38.254263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 261
37.9%
등 259
37.6%
운영중 160
23.3%
영업중 6
 
0.9%
휴업 1
 
0.1%
직권말소 1
 
0.1%

폐업일자
Date

MISSING 

Distinct234
Distinct (%)89.3%
Missing167
Missing (%)38.9%
Memory size3.5 KiB
Minimum2000-06-29 00:00:00
Maximum2023-08-31 00:00:00
2023-12-11T06:00:38.419721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:00:38.601476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지시설전화번호
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing425
Missing (%)99.1%
Memory size3.5 KiB
2023-12-11T06:00:38.802865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11
Min length8

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 row031-562-7757
2nd row239-2397
3rd row031-433-7166
4th row031-282-4043
ValueCountFrequency (%)
031-562-7757 1
25.0%
239-2397 1
25.0%
031-433-7166 1
25.0%
031-282-4043 1
25.0%
2023-12-11T06:00:39.212983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 8
18.2%
- 7
15.9%
2 5
11.4%
7 5
11.4%
0 4
9.1%
1 4
9.1%
6 3
 
6.8%
4 3
 
6.8%
5 2
 
4.5%
9 2
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 37
84.1%
Dash Punctuation 7
 
15.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 8
21.6%
2 5
13.5%
7 5
13.5%
0 4
10.8%
1 4
10.8%
6 3
 
8.1%
4 3
 
8.1%
5 2
 
5.4%
9 2
 
5.4%
8 1
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 44
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 8
18.2%
- 7
15.9%
2 5
11.4%
7 5
11.4%
0 4
9.1%
1 4
9.1%
6 3
 
6.8%
4 3
 
6.8%
5 2
 
4.5%
9 2
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 8
18.2%
- 7
15.9%
2 5
11.4%
7 5
11.4%
0 4
9.1%
1 4
9.1%
6 3
 
6.8%
4 3
 
6.8%
5 2
 
4.5%
9 2
 
4.5%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing429
Missing (%)100.0%
Memory size3.9 KiB

도로명우편번호
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing420
Missing (%)97.9%
Infinite0
Infinite (%)0.0%
Mean14184
Minimum10401
Maximum16969
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-11T06:00:39.370830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10401
5-th percentile10915.8
Q111928
median14424
Q316489
95-th percentile16809.8
Maximum16969
Range6568
Interquartile range (IQR)4561

Descriptive statistics

Standard deviation2377.9529
Coefficient of variation (CV)0.16765037
Kurtosis-1.296142
Mean14184
Median Absolute Deviation (MAD)2147
Skewness-0.39469572
Sum127656
Variance5654660
MonotonicityNot monotonic
2023-12-11T06:00:39.521461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
10401 1
 
0.2%
11928 1
 
0.2%
14424 1
 
0.2%
16489 1
 
0.2%
16571 1
 
0.2%
15066 1
 
0.2%
14120 1
 
0.2%
16969 1
 
0.2%
11688 1
 
0.2%
(Missing) 420
97.9%
ValueCountFrequency (%)
10401 1
0.2%
11688 1
0.2%
11928 1
0.2%
14120 1
0.2%
14424 1
0.2%
15066 1
0.2%
16489 1
0.2%
16571 1
0.2%
16969 1
0.2%
ValueCountFrequency (%)
16969 1
0.2%
16571 1
0.2%
16489 1
0.2%
15066 1
0.2%
14424 1
0.2%
14120 1
0.2%
11928 1
0.2%
11688 1
0.2%
10401 1
0.2%

소재지도로명주소
Text

MISSING 

Distinct397
Distinct (%)95.7%
Missing14
Missing (%)3.3%
Memory size3.5 KiB
2023-12-11T06:00:39.905099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length41
Mean length29.021687
Min length15

Characters and Unicode

Total characters12044
Distinct characters238
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique380 ?
Unique (%)91.6%

Sample

1st row경기도 가평군 가평읍 굴다리길 3
2nd row경기도 가평군 가평읍 가화로 108-1
3rd row경기도 가평군 가평읍 가화로 104-1
4th row경기도 가평군 청평면 청평중앙로 55
5th row경기도 고양시 덕양구 호국로 815 (주교동,3층)
ValueCountFrequency (%)
경기도 415
 
16.8%
수원시 51
 
2.1%
부천시 48
 
1.9%
팔달구 42
 
1.7%
성남시 38
 
1.5%
안양시 35
 
1.4%
고양시 34
 
1.4%
의정부시 32
 
1.3%
의정부동 29
 
1.2%
안산시 24
 
1.0%
Other values (747) 1716
69.6%
2023-12-11T06:00:40.505548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2215
 
18.4%
경 448
 
3.7%
시 437
 
3.6%
동 427
 
3.5%
기 426
 
3.5%
도 417
 
3.5%
로 407
 
3.4%
) 386
 
3.2%
( 386
 
3.2%
1 340
 
2.8%
Other values (228) 6155
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6888
57.2%
Space Separator 2215
 
18.4%
Decimal Number 1809
 
15.0%
Close Punctuation 386
 
3.2%
Open Punctuation 386
 
3.2%
Other Punctuation 265
 
2.2%
Dash Punctuation 85
 
0.7%
Uppercase Letter 9
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 448
 
6.5%
시 437
 
6.3%
동 427
 
6.2%
기 426
 
6.2%
도 417
 
6.1%
로 407
 
5.9%
구 218
 
3.2%
길 190
 
2.8%
번 164
 
2.4%
안 161
 
2.3%
Other values (210) 3593
52.2%
Decimal Number
ValueCountFrequency (%)
1 340
18.8%
2 294
16.3%
3 256
14.2%
0 161
8.9%
4 160
8.8%
6 139
7.7%
5 134
 
7.4%
8 117
 
6.5%
7 114
 
6.3%
9 94
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
B 8
88.9%
C 1
 
11.1%
Space Separator
ValueCountFrequency (%)
2215
100.0%
Close Punctuation
ValueCountFrequency (%)
) 386
100.0%
Open Punctuation
ValueCountFrequency (%)
( 386
100.0%
Other Punctuation
ValueCountFrequency (%)
, 265
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 85
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6888
57.2%
Common 5146
42.7%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 448
 
6.5%
시 437
 
6.3%
동 427
 
6.2%
기 426
 
6.2%
도 417
 
6.1%
로 407
 
5.9%
구 218
 
3.2%
길 190
 
2.8%
번 164
 
2.4%
안 161
 
2.3%
Other values (210) 3593
52.2%
Common
ValueCountFrequency (%)
2215
43.0%
) 386
 
7.5%
( 386
 
7.5%
1 340
 
6.6%
2 294
 
5.7%
, 265
 
5.1%
3 256
 
5.0%
0 161
 
3.1%
4 160
 
3.1%
6 139
 
2.7%
Other values (5) 544
 
10.6%
Latin
ValueCountFrequency (%)
B 8
80.0%
C 1
 
10.0%
a 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6888
57.2%
ASCII 5156
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2215
43.0%
) 386
 
7.5%
( 386
 
7.5%
1 340
 
6.6%
2 294
 
5.7%
, 265
 
5.1%
3 256
 
5.0%
0 161
 
3.1%
4 160
 
3.1%
6 139
 
2.7%
Other values (8) 554
 
10.7%
Hangul
ValueCountFrequency (%)
경 448
 
6.5%
시 437
 
6.3%
동 427
 
6.2%
기 426
 
6.2%
도 417
 
6.1%
로 407
 
5.9%
구 218
 
3.2%
길 190
 
2.8%
번 164
 
2.4%
안 161
 
2.3%
Other values (210) 3593
52.2%

소재지지번주소
Text

Distinct403
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-11T06:00:40.897473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length36
Mean length24.902098
Min length16

Characters and Unicode

Total characters10683
Distinct characters200
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique379 ?
Unique (%)88.3%

Sample

1st row경기도 가평군 가평읍 대곡리 232-3번지
2nd row경기도 가평군 가평읍 읍내리 474-4번지
3rd row경기도 가평군 가평읍 읍내리 475-1번지
4th row경기도 가평군 청평면 청평리 465-4번지
5th row경기도 고양시 덕양구 주교동 621-6 3층
ValueCountFrequency (%)
경기도 429
 
19.1%
수원시 54
 
2.4%
부천시 49
 
2.2%
팔달구 45
 
2.0%
성남시 40
 
1.8%
2층 38
 
1.7%
고양시 36
 
1.6%
안양시 35
 
1.6%
의정부시 33
 
1.5%
의정부동 33
 
1.5%
Other values (655) 1456
64.8%
2023-12-11T06:00:41.445395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1826
 
17.1%
1 490
 
4.6%
지 486
 
4.5%
기 439
 
4.1%
시 434
 
4.1%
동 431
 
4.0%
도 430
 
4.0%
경 429
 
4.0%
번 420
 
3.9%
- 375
 
3.5%
Other values (190) 4923
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6239
58.4%
Decimal Number 2211
 
20.7%
Space Separator 1826
 
17.1%
Dash Punctuation 375
 
3.5%
Other Punctuation 12
 
0.1%
Uppercase Letter 9
 
0.1%
Close Punctuation 5
 
< 0.1%
Open Punctuation 5
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 486
 
7.8%
기 439
 
7.0%
시 434
 
7.0%
동 431
 
6.9%
도 430
 
6.9%
경 429
 
6.9%
번 420
 
6.7%
구 222
 
3.6%
양 144
 
2.3%
층 136
 
2.2%
Other values (172) 2668
42.8%
Decimal Number
ValueCountFrequency (%)
1 490
22.2%
2 290
13.1%
3 262
11.8%
4 212
9.6%
0 211
9.5%
7 193
 
8.7%
5 188
 
8.5%
6 141
 
6.4%
8 112
 
5.1%
9 112
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
B 8
88.9%
C 1
 
11.1%
Space Separator
ValueCountFrequency (%)
1826
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 375
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6239
58.4%
Common 4434
41.5%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 486
 
7.8%
기 439
 
7.0%
시 434
 
7.0%
동 431
 
6.9%
도 430
 
6.9%
경 429
 
6.9%
번 420
 
6.7%
구 222
 
3.6%
양 144
 
2.3%
층 136
 
2.2%
Other values (172) 2668
42.8%
Common
ValueCountFrequency (%)
1826
41.2%
1 490
 
11.1%
- 375
 
8.5%
2 290
 
6.5%
3 262
 
5.9%
4 212
 
4.8%
0 211
 
4.8%
7 193
 
4.4%
5 188
 
4.2%
6 141
 
3.2%
Other values (5) 246
 
5.5%
Latin
ValueCountFrequency (%)
B 8
80.0%
C 1
 
10.0%
a 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6239
58.4%
ASCII 4444
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1826
41.1%
1 490
 
11.0%
- 375
 
8.4%
2 290
 
6.5%
3 262
 
5.9%
4 212
 
4.8%
0 211
 
4.7%
7 193
 
4.3%
5 188
 
4.2%
6 141
 
3.2%
Other values (8) 256
 
5.8%
Hangul
ValueCountFrequency (%)
지 486
 
7.8%
기 439
 
7.0%
시 434
 
7.0%
동 431
 
6.9%
도 430
 
6.9%
경 429
 
6.9%
번 420
 
6.7%
구 222
 
3.6%
양 144
 
2.3%
층 136
 
2.2%
Other values (172) 2668
42.8%

소재지우편번호
Text

Distinct227
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-11T06:00:41.879876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.8414918
Min length5

Characters and Unicode

Total characters2506
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

Unique147 ?
Unique (%)34.3%

Sample

1st row477804
2nd row477801
3rd row12419
4th row477813
5th row412-812
ValueCountFrequency (%)
442081 13
 
3.0%
480841 12
 
2.8%
410837 9
 
2.1%
462829 9
 
2.1%
422807 8
 
1.9%
462824 7
 
1.6%
11928 7
 
1.6%
480842 7
 
1.6%
435805 7
 
1.6%
412812 6
 
1.4%
Other values (217) 344
80.2%
2023-12-11T06:00:42.690112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 547
21.8%
8 396
15.8%
2 340
13.6%
1 302
12.1%
0 278
11.1%
3 170
 
6.8%
6 130
 
5.2%
5 124
 
4.9%
7 119
 
4.7%
9 97
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2503
99.9%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 547
21.9%
8 396
15.8%
2 340
13.6%
1 302
12.1%
0 278
11.1%
3 170
 
6.8%
6 130
 
5.2%
5 124
 
5.0%
7 119
 
4.8%
9 97
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2506
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 547
21.8%
8 396
15.8%
2 340
13.6%
1 302
12.1%
0 278
11.1%
3 170
 
6.8%
6 130
 
5.2%
5 124
 
4.9%
7 119
 
4.7%
9 97
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2506
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 547
21.8%
8 396
15.8%
2 340
13.6%
1 302
12.1%
0 278
11.1%
3 170
 
6.8%
6 130
 
5.2%
5 124
 
4.9%
7 119
 
4.7%
9 97
 
3.9%

WGS84위도
Real number (ℝ)

MISSING 

Distinct339
Distinct (%)80.5%
Missing8
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean37.462781
Minimum36.990705
Maximum38.091045
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-11T06:00:42.923685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.990705
5-th percentile37.079577
Q137.31737
median37.434418
Q337.656308
95-th percentile37.895458
Maximum38.091045
Range1.1003406
Interquartile range (IQR)0.33893773

Descriptive statistics

Standard deviation0.22222542
Coefficient of variation (CV)0.0059318987
Kurtosis-0.11622754
Mean37.462781
Median Absolute Deviation (MAD)0.15003633
Skewness0.31012141
Sum15771.831
Variance0.049384138
MonotonicityNot monotonic
2023-12-11T06:00:43.108897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3244324424 6
 
1.4%
37.6632785051 4
 
0.9%
37.2712730176 4
 
0.9%
37.4809034592 3
 
0.7%
37.2662767721 3
 
0.7%
37.4903791821 3
 
0.7%
37.3680058699 3
 
0.7%
37.358869105 3
 
0.7%
37.5238057558 3
 
0.7%
37.332830755 3
 
0.7%
Other values (329) 386
90.0%
(Missing) 8
 
1.9%
ValueCountFrequency (%)
36.99070453 1
0.2%
36.9916780767 2
0.5%
36.9917583544 1
0.2%
36.9921416575 1
0.2%
36.9928991756 1
0.2%
36.9931529075 1
0.2%
36.9957979348 1
0.2%
36.9982828223 1
0.2%
37.0054494596 1
0.2%
37.0066211489 1
0.2%
ValueCountFrequency (%)
38.0910451365 1
0.2%
38.0909854253 1
0.2%
38.0896489285 1
0.2%
38.0272944667 1
0.2%
38.0252871175 1
0.2%
37.9572677823 1
0.2%
37.9172434397 1
0.2%
37.9089086074 2
0.5%
37.9087473991 1
0.2%
37.9083573504 1
0.2%

WGS84경도
Real number (ℝ)

MISSING 

Distinct339
Distinct (%)80.5%
Missing8
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean126.98932
Minimum126.59788
Maximum127.63584
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-11T06:00:43.290540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.59788
5-th percentile126.75936
Q1126.8113
median127.01568
Q3127.09653
95-th percentile127.27036
Maximum127.63584
Range1.0379546
Interquartile range (IQR)0.28522843

Descriptive statistics

Standard deviation0.18322685
Coefficient of variation (CV)0.0014428524
Kurtosis1.2741438
Mean126.98932
Median Absolute Deviation (MAD)0.11623638
Skewness0.78443032
Sum53462.504
Variance0.033572079
MonotonicityNot monotonic
2023-12-11T06:00:43.447827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0965317515 6
 
1.4%
126.7681795764 4
 
0.9%
127.1059403862 4
 
0.9%
126.7950936865 3
 
0.7%
127.0023523514 3
 
0.7%
127.4917535562 3
 
0.7%
126.9550277135 3
 
0.7%
126.932701498 3
 
0.7%
126.8069576913 3
 
0.7%
126.8078468208 3
 
0.7%
Other values (329) 386
90.0%
(Missing) 8
 
1.9%
ValueCountFrequency (%)
126.5978810854 1
0.2%
126.5985264445 2
0.5%
126.7096099881 1
0.2%
126.7309157621 1
0.2%
126.7326887923 1
0.2%
126.7333200886 1
0.2%
126.7334039891 1
0.2%
126.733495385 1
0.2%
126.7356131039 1
0.2%
126.7366351151 1
0.2%
ValueCountFrequency (%)
127.6358356783 1
 
0.2%
127.6352944998 1
 
0.2%
127.633907526 1
 
0.2%
127.6321263208 1
 
0.2%
127.5940745609 1
 
0.2%
127.5150220137 1
 
0.2%
127.5143294607 1
 
0.2%
127.5141363561 1
 
0.2%
127.4968326598 1
 
0.2%
127.4917535562 3
0.7%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing429
Missing (%)100.0%
Memory size3.9 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing419
Missing (%)97.7%
Infinite0
Infinite (%)0.0%
Mean195165.95
Minimum176600.77
Maximum212337.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-11T06:00:43.627585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum176600.77
5-th percentile177902.12
Q1183555.09
median199185.37
Q3204006.55
95-th percentile210984.12
Maximum212337.95
Range35737.185
Interquartile range (IQR)20451.465

Descriptive statistics

Standard deviation13007.85
Coefficient of variation (CV)0.0666502
Kurtosis-1.6648706
Mean195165.95
Median Absolute Deviation (MAD)11648.326
Skewness-0.21943248
Sum1951659.5
Variance1.6920416 × 108
MonotonicityNot monotonic
2023-12-11T06:00:43.794846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
185628.001829137 1
 
0.2%
179492.666132508 1
 
0.2%
212337.950299566 1
 
0.2%
182864.113302589 1
 
0.2%
202425.514839574 1
 
0.2%
202540.712191332 1
 
0.2%
176600.765 1
 
0.2%
195945.221240524 1
 
0.2%
209329.438322444 1
 
0.2%
204495.163721631 1
 
0.2%
(Missing) 419
97.7%
ValueCountFrequency (%)
176600.765 1
0.2%
179492.666132508 1
0.2%
182864.113302589 1
0.2%
185628.001829137 1
0.2%
195945.221240524 1
0.2%
202425.514839574 1
0.2%
202540.712191332 1
0.2%
204495.163721631 1
0.2%
209329.438322444 1
0.2%
212337.950299566 1
0.2%
ValueCountFrequency (%)
212337.950299566 1
0.2%
209329.438322444 1
0.2%
204495.163721631 1
0.2%
202540.712191332 1
0.2%
202425.514839574 1
0.2%
195945.221240524 1
0.2%
185628.001829137 1
0.2%
182864.113302589 1
0.2%
179492.666132508 1
0.2%
176600.765 1
0.2%

Y좌표값
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing419
Missing (%)97.7%
Infinite0
Infinite (%)0.0%
Mean440880.92
Minimum417656.52
Maximum471303.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-11T06:00:43.930952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum417656.52
5-th percentile417975.57
Q1420924.66
median438203.11
Q3460149.65
95-th percentile467239.53
Maximum471303.86
Range53647.34
Interquartile range (IQR)39224.992

Descriptive statistics

Standard deviation20850.783
Coefficient of variation (CV)0.047293457
Kurtosis-1.8734301
Mean440880.92
Median Absolute Deviation (MAD)19553.211
Skewness0.17684001
Sum4408809.2
Variance4.3475515 × 108
MonotonicityNot monotonic
2023-12-11T06:00:44.078402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
461811.781644343 1
 
0.2%
462272.008263397 1
 
0.2%
455163.248149455 1
 
0.2%
446854.100209084 1
 
0.2%
418365.510309797 1
 
0.2%
417656.524946819 1
 
0.2%
426895.741 1
 
0.2%
429552.125657187 1
 
0.2%
418934.294211892 1
 
0.2%
471303.864509999 1
 
0.2%
(Missing) 419
97.7%
ValueCountFrequency (%)
417656.524946819 1
0.2%
418365.510309797 1
0.2%
418934.294211892 1
0.2%
426895.741 1
0.2%
429552.125657187 1
0.2%
446854.100209084 1
0.2%
455163.248149455 1
0.2%
461811.781644343 1
0.2%
462272.008263397 1
0.2%
471303.864509999 1
0.2%
ValueCountFrequency (%)
471303.864509999 1
0.2%
462272.008263397 1
0.2%
461811.781644343 1
0.2%
455163.248149455 1
0.2%
446854.100209084 1
0.2%
429552.125657187 1
0.2%
426895.741 1
0.2%
418934.294211892 1
0.2%
418365.510309797 1
0.2%
417656.524946819 1
0.2%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
무도학원업
429 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무도학원업 429
100.0%

Length

2023-12-11T06:00:44.218059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:00:44.318799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무도학원업 429
100.0%

공사립구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
사립
429 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 429
100.0%

Length

2023-12-11T06:00:44.411739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:00:44.503190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 429
100.0%

보험가입여부코드
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)20.0%
Missing424
Missing (%)98.8%
Memory size990.0 B
True
 
5
(Missing)
424 
ValueCountFrequency (%)
True 5
 
1.2%
(Missing) 424
98.8%
2023-12-11T06:00:44.577628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

회원모집총인원
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
419 
0
 
9
150
 
1

Length

Max length4
Median length4
Mean length3.9347319
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 419
97.7%
0 9
 
2.1%
150 1
 
0.2%

Length

2023-12-11T06:00:44.670780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:00:44.768147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 419
97.7%
0 9
 
2.1%
150 1
 
0.2%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명공사립구분명보험가입여부코드회원모집총인원
0가평군현대무도학원19930820<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 가평읍 굴다리길 3경기도 가평군 가평읍 대곡리 232-3번지47780437.826002127.515022<NA><NA><NA>무도학원업사립<NA><NA>
1가평군가평무도학원20030428<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 가평읍 가화로 108-1경기도 가평군 가평읍 읍내리 474-4번지47780137.829473127.514136<NA><NA><NA>무도학원업사립<NA><NA>
2가평군강은지 댄스스포츠&줌바20180226<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 가평읍 가화로 104-1경기도 가평군 가평읍 읍내리 475-1번지1241937.829076127.514329<NA><NA><NA>무도학원업사립<NA><NA>
3가평군제일무도학원20040720<NA><NA>폐업 등20061215<NA><NA><NA>경기도 가평군 청평면 청평중앙로 55경기도 가평군 청평면 청평리 465-4번지47781337.738404127.420337<NA><NA><NA>무도학원업사립<NA><NA>
4고양시국제무도학원1996-07-08<NA>13영업중<NA><NA><NA><NA>경기도 고양시 덕양구 호국로 815 (주교동,3층)경기도 고양시 덕양구 주교동 621-6 3층412-81237.658553126.837928<NA>185628.001829461811.781644무도학원업사립Y0
5고양시댄싱월드20100415<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 무궁화로 37, 702호 (장항동,노블리제)경기도 고양시 일산동구 장항동 734-1번지 노블리제 702호41083737.663279126.76818<NA><NA><NA>무도학원업사립<NA><NA>
6고양시양새벽 댄스스포츠20120409<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 무궁화로 37, 304호 (장항동, 노블리제)경기도 고양시 일산동구 장항동 734-1번지 노블리제 304호41083737.663279126.76818<NA><NA><NA>무도학원업사립<NA><NA>
7고양시비바댄스스포츠20160921<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 무궁화로 32-21, 802호 (장항동, 메탈릭타워)경기도 고양시 일산동구 장항동 776-1번지1040137.662033126.769416<NA><NA><NA>무도학원업사립<NA><NA>
8고양시유캔댄스스포츠20150326<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 무궁화로 20-38, 404호 (장항동, 로데오탑)경기도 고양시 일산동구 장항동 757번지 로데오탑 404호41083737.660337126.767744<NA><NA><NA>무도학원업사립<NA><NA>
9고양시윙윙댄스스포츠20171107<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 중앙로1261번길 19, 10층 1001호 (장항동)경기도 고양시 일산동구 장항동 857번지 호수광장빌딩 1001호1040237.658259126.772662<NA><NA><NA>무도학원업사립<NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명공사립구분명보험가입여부코드회원모집총인원
419포천시민정무도학원19951123<NA><NA>폐업 등20151228<NA><NA><NA>경기도 포천시 신읍길 14-11 (신읍동)경기도 포천시 신읍동 57-12번지48780337.895889127.200699<NA><NA><NA>무도학원업사립<NA><NA>
420포천시포천댄스스포츠아카데미19980504<NA><NA>폐업 등20120903<NA><NA><NA>경기도 포천시 중앙로149번길 7 (신읍동)경기도 포천시 신읍동 192-14번지48780437.899593127.204232<NA><NA><NA>무도학원업사립<NA><NA>
421포천시재락19991101<NA><NA>폐업 등20120910<NA><NA><NA>경기도 포천시 일동면 사리재3길 2경기도 포천시 일동면 기산리 81-47번지48785137.957268127.320418<NA><NA><NA>무도학원업사립<NA><NA>
422포천시영북19930309<NA><NA>폐업 등20031002<NA><NA><NA><NA>경기도 포천시 영북면 운천리 532번지487892<NA><NA><NA><NA><NA>무도학원업사립<NA><NA>
423하남시하남스포츠센터20030114<NA><NA>운영중<NA><NA><NA><NA>경기도 하남시 신평로 75 (신장동)경기도 하남시 신장동 427-246번지1296737.540256127.206031<NA><NA><NA>무도학원업사립<NA><NA>
424하남시강향숙 댄스스포츠20170914<NA><NA>운영중<NA><NA><NA><NA>경기도 하남시 미사강변중앙로 220, 1006호 (망월동, 우성미사타워)경기도 하남시 망월동 1079-1번지 우성미사타워 1006호1291337.566289127.189227<NA><NA><NA>무도학원업사립<NA><NA>
425하남시보훈무도학원20021210<NA><NA>운영중<NA><NA><NA><NA>경기도 하남시 신장1로9번길 57-3, 지하1층 (신장동)경기도 하남시 신장동 427-462번지 지하1층1295737.538318127.206175<NA><NA><NA>무도학원업사립<NA><NA>
426하남시연출무도학원19990109<NA><NA>운영중<NA><NA><NA><NA>경기도 하남시 하남대로787번길 73 (신장동)경기도 하남시 신장동 432-48번지 3층46581137.537267127.207696<NA><NA><NA>무도학원업사립<NA><NA>
427화성시볼맨댄스학원20080924<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 떡전골로 96-4경기도 화성시 병점동 382-2 미라클프라자 508호44536037.207022127.034274<NA><NA><NA>무도학원업사립<NA><NA>
428화성시병점댄스스포츠20101222<NA><NA>폐업 등20110902<NA><NA><NA>경기도 화성시 떡전골로 96-4, 205호 (병점동,미라클프라자)경기도 화성시 병점동 382-2번지 미라클프라자 205호44536037.207022127.034274<NA><NA><NA>무도학원업사립<NA><NA>