Overview

Dataset statistics

Number of variables9
Number of observations270
Missing cells92
Missing cells (%)3.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.4 KiB
Average record size in memory73.5 B

Variable types

Numeric1
Categorical2
Text4
DateTime2

Dataset

Description직업안정법에 따른 성남시 내 직업소개사업(무료,유료) 현황 데이터이며, 유무료구분, 사업장명, 인허가일자, 주소, 연락처, 법인/개인구분 등의 항목으로 구성되어 있습니다
URLhttps://www.data.go.kr/data/15004912/fileData.do

Alerts

데이터기준일 has constant value ""Constant
유무료구분 is highly imbalanced (66.1%)Imbalance
소재지전화번호 has 91 (33.7%) missing valuesMissing
연번 has unique valuesUnique
사업장명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:12:28.580954
Analysis finished2023-12-12 14:12:29.354126
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct270
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135.5
Minimum1
Maximum270
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-12T23:12:29.413666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.45
Q168.25
median135.5
Q3202.75
95-th percentile256.55
Maximum270
Range269
Interquartile range (IQR)134.5

Descriptive statistics

Standard deviation78.086491
Coefficient of variation (CV)0.57628406
Kurtosis-1.2
Mean135.5
Median Absolute Deviation (MAD)67.5
Skewness0
Sum36585
Variance6097.5
MonotonicityStrictly increasing
2023-12-12T23:12:29.550965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
187 1
 
0.4%
173 1
 
0.4%
174 1
 
0.4%
175 1
 
0.4%
176 1
 
0.4%
177 1
 
0.4%
178 1
 
0.4%
179 1
 
0.4%
180 1
 
0.4%
Other values (260) 260
96.3%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
270 1
0.4%
269 1
0.4%
268 1
0.4%
267 1
0.4%
266 1
0.4%
265 1
0.4%
264 1
0.4%
263 1
0.4%
262 1
0.4%
261 1
0.4%

유무료구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
유료
253 
무료
 
17

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 253
93.7%
무료 17
 
6.3%

Length

2023-12-12T23:12:29.652364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:12:29.724991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 253
93.7%
무료 17
 
6.3%

사업장명
Text

UNIQUE 

Distinct270
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-12T23:12:29.866361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length20
Mean length7.862963
Min length2

Characters and Unicode

Total characters2123
Distinct characters305
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

Unique270 ?
Unique (%)100.0%

Sample

1st row앨리슨앤드컴퍼니
2nd row한국열린행정사사무소
3rd row엘림써치
4th row(주)하트맘케어
5th row흥원인력
ValueCountFrequency (%)
직업소개소 25
 
6.8%
주식회사 13
 
3.6%
인력 9
 
2.5%
파출 4
 
1.1%
컴퍼니 2
 
0.5%
로또인력 2
 
0.5%
산후도우미 2
 
0.5%
무료직업소개소 2
 
0.5%
두리잡인력파출 2
 
0.5%
사임당 2
 
0.5%
Other values (300) 302
82.7%
2023-12-12T23:12:30.142987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 125
 
5.9%
인 111
 
5.2%
력 96
 
4.5%
95
 
4.5%
개 73
 
3.4%
업 70
 
3.3%
직 60
 
2.8%
파 45
 
2.1%
주 45
 
2.1%
사 44
 
2.1%
Other values (295) 1359
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1923
90.6%
Space Separator 95
 
4.5%
Close Punctuation 37
 
1.7%
Open Punctuation 37
 
1.7%
Uppercase Letter 19
 
0.9%
Decimal Number 6
 
0.3%
Lowercase Letter 4
 
0.2%
Other Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 125
 
6.5%
인 111
 
5.8%
력 96
 
5.0%
개 73
 
3.8%
업 70
 
3.6%
직 60
 
3.1%
파 45
 
2.3%
주 45
 
2.3%
사 44
 
2.3%
출 43
 
2.2%
Other values (270) 1211
63.0%
Uppercase Letter
ValueCountFrequency (%)
A 3
15.8%
J 3
15.8%
Y 2
10.5%
W 2
10.5%
C 2
10.5%
R 2
10.5%
H 1
 
5.3%
K 1
 
5.3%
G 1
 
5.3%
B 1
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
a 1
25.0%
e 1
25.0%
r 1
25.0%
o 1
25.0%
Decimal Number
ValueCountFrequency (%)
1 4
66.7%
4 1
 
16.7%
9 1
 
16.7%
Close Punctuation
ValueCountFrequency (%)
) 36
97.3%
] 1
 
2.7%
Open Punctuation
ValueCountFrequency (%)
( 36
97.3%
[ 1
 
2.7%
Space Separator
ValueCountFrequency (%)
95
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1923
90.6%
Common 177
 
8.3%
Latin 23
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 125
 
6.5%
인 111
 
5.8%
력 96
 
5.0%
개 73
 
3.8%
업 70
 
3.6%
직 60
 
3.1%
파 45
 
2.3%
주 45
 
2.3%
사 44
 
2.3%
출 43
 
2.2%
Other values (270) 1211
63.0%
Latin
ValueCountFrequency (%)
A 3
13.0%
J 3
13.0%
Y 2
 
8.7%
W 2
 
8.7%
C 2
 
8.7%
R 2
 
8.7%
H 1
 
4.3%
a 1
 
4.3%
e 1
 
4.3%
r 1
 
4.3%
Other values (5) 5
21.7%
Common
ValueCountFrequency (%)
95
53.7%
) 36
 
20.3%
( 36
 
20.3%
1 4
 
2.3%
4 1
 
0.6%
9 1
 
0.6%
. 1
 
0.6%
+ 1
 
0.6%
] 1
 
0.6%
[ 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1923
90.6%
ASCII 200
 
9.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 125
 
6.5%
인 111
 
5.8%
력 96
 
5.0%
개 73
 
3.8%
업 70
 
3.6%
직 60
 
3.1%
파 45
 
2.3%
주 45
 
2.3%
사 44
 
2.3%
출 43
 
2.2%
Other values (270) 1211
63.0%
ASCII
ValueCountFrequency (%)
95
47.5%
) 36
 
18.0%
( 36
 
18.0%
1 4
 
2.0%
A 3
 
1.5%
J 3
 
1.5%
Y 2
 
1.0%
W 2
 
1.0%
C 2
 
1.0%
R 2
 
1.0%
Other values (15) 15
 
7.5%

인허가일자
Date

Distinct240
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum1993-08-30 00:00:00
Maximum2023-05-22 00:00:00
2023-12-12T23:12:30.261125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:12:30.384442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업장지번주소
Text

Distinct249
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-12T23:12:30.622894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length26.211111
Min length1

Characters and Unicode

Total characters7077
Distinct characters215
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique232 ?
Unique (%)85.9%

Sample

1st row경기도 성남시 분당구 서현동 272-3 텍스타워
2nd row경기도 성남시 수정구 수진동 3995
3rd row경기도 성남시 분당구 구미동 63 까치마을
4th row경기도 성남시 분당구 구미동 185-3 하나프라자빌딩
5th row경기도 성남시 중원구 금광동 4465
ValueCountFrequency (%)
성남시 264
 
16.2%
경기도 264
 
16.2%
중원구 102
 
6.2%
분당구 95
 
5.8%
수정구 67
 
4.1%
성남동 53
 
3.2%
태평동 28
 
1.7%
구미동 19
 
1.2%
야탑동 18
 
1.1%
수진동 17
 
1.0%
Other values (434) 705
43.2%
2023-12-12T23:12:30.987026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1363
19.3%
성 331
 
4.7%
남 326
 
4.6%
구 283
 
4.0%
동 278
 
3.9%
시 268
 
3.8%
경 265
 
3.7%
도 265
 
3.7%
기 264
 
3.7%
1 198
 
2.8%
Other values (205) 3236
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4387
62.0%
Space Separator 1363
 
19.3%
Decimal Number 1250
 
17.7%
Dash Punctuation 62
 
0.9%
Uppercase Letter 13
 
0.2%
Math Symbol 1
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 331
 
7.5%
남 326
 
7.4%
구 283
 
6.5%
동 278
 
6.3%
시 268
 
6.1%
경 265
 
6.0%
도 265
 
6.0%
기 264
 
6.0%
지 145
 
3.3%
번 131
 
3.0%
Other values (183) 1831
41.7%
Decimal Number
ValueCountFrequency (%)
1 198
15.8%
3 191
15.3%
2 188
15.0%
4 157
12.6%
6 141
11.3%
5 99
7.9%
0 94
7.5%
7 67
 
5.4%
9 59
 
4.7%
8 56
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
B 3
23.1%
E 2
15.4%
N 2
15.4%
C 2
15.4%
K 1
 
7.7%
A 1
 
7.7%
H 1
 
7.7%
Z 1
 
7.7%
Space Separator
ValueCountFrequency (%)
1363
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4387
62.0%
Common 2676
37.8%
Latin 14
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 331
 
7.5%
남 326
 
7.4%
구 283
 
6.5%
동 278
 
6.3%
시 268
 
6.1%
경 265
 
6.0%
도 265
 
6.0%
기 264
 
6.0%
지 145
 
3.3%
번 131
 
3.0%
Other values (183) 1831
41.7%
Common
ValueCountFrequency (%)
1363
50.9%
1 198
 
7.4%
3 191
 
7.1%
2 188
 
7.0%
4 157
 
5.9%
6 141
 
5.3%
5 99
 
3.7%
0 94
 
3.5%
7 67
 
2.5%
- 62
 
2.3%
Other values (3) 116
 
4.3%
Latin
ValueCountFrequency (%)
B 3
21.4%
E 2
14.3%
N 2
14.3%
C 2
14.3%
K 1
 
7.1%
A 1
 
7.1%
H 1
 
7.1%
Z 1
 
7.1%
Ⅱ 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4387
62.0%
ASCII 2689
38.0%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1363
50.7%
1 198
 
7.4%
3 191
 
7.1%
2 188
 
7.0%
4 157
 
5.8%
6 141
 
5.2%
5 99
 
3.7%
0 94
 
3.5%
7 67
 
2.5%
- 62
 
2.3%
Other values (11) 129
 
4.8%
Hangul
ValueCountFrequency (%)
성 331
 
7.5%
남 326
 
7.4%
구 283
 
6.5%
동 278
 
6.3%
시 268
 
6.1%
경 265
 
6.0%
도 265
 
6.0%
기 264
 
6.0%
지 145
 
3.3%
번 131
 
3.0%
Other values (183) 1831
41.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

사업장도로명주소
Text

Distinct264
Distinct (%)98.1%
Missing1
Missing (%)0.4%
Memory size2.2 KiB
2023-12-12T23:12:31.244483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length45
Mean length36.918216
Min length25

Characters and Unicode

Total characters9931
Distinct characters250
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

Unique259 ?
Unique (%)96.3%

Sample

1st row경기도 성남시 분당구 황새울로319번길 6. 텍스타워 808호 (서현동)
2nd row경기도 성남시 수정구 성남대로 1200. 205호 (수진동)
3rd row경기도 성남시 분당구 미금일로 58. b04호 (구미동. 까치마을)
4th row경기도 성남시 분당구 성남대로 34. 하나프라자빌딩 702호 (구미동)
5th row경기도 성남시 중원구 산성대로 398. 2층 (금광동)
ValueCountFrequency (%)
경기도 269
 
12.9%
성남시 269
 
12.9%
중원구 102
 
4.9%
분당구 98
 
4.7%
수정구 69
 
3.3%
성남동 54
 
2.6%
성남대로 44
 
2.1%
2층 33
 
1.6%
4층 29
 
1.4%
3층 29
 
1.4%
Other values (538) 1084
52.1%
2023-12-12T23:12:31.679945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1811
 
18.2%
성 437
 
4.4%
남 400
 
4.0%
1 382
 
3.8%
. 315
 
3.2%
동 292
 
2.9%
구 289
 
2.9%
시 278
 
2.8%
로 277
 
2.8%
기 271
 
2.7%
Other values (240) 5179
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5585
56.2%
Space Separator 1811
 
18.2%
Decimal Number 1607
 
16.2%
Other Punctuation 315
 
3.2%
Close Punctuation 269
 
2.7%
Open Punctuation 269
 
2.7%
Dash Punctuation 41
 
0.4%
Uppercase Letter 28
 
0.3%
Math Symbol 3
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 437
 
7.8%
남 400
 
7.2%
동 292
 
5.2%
구 289
 
5.2%
시 278
 
5.0%
로 277
 
5.0%
기 271
 
4.9%
경 270
 
4.8%
도 270
 
4.8%
호 156
 
2.8%
Other values (212) 2645
47.4%
Decimal Number
ValueCountFrequency (%)
1 382
23.8%
2 244
15.2%
3 195
12.1%
0 183
11.4%
4 177
11.0%
5 110
 
6.8%
8 95
 
5.9%
6 77
 
4.8%
9 77
 
4.8%
7 67
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
B 10
35.7%
C 5
17.9%
A 4
 
14.3%
E 2
 
7.1%
N 2
 
7.1%
K 1
 
3.6%
W 1
 
3.6%
Y 1
 
3.6%
H 1
 
3.6%
Z 1
 
3.6%
Space Separator
ValueCountFrequency (%)
1811
100.0%
Other Punctuation
ValueCountFrequency (%)
. 315
100.0%
Close Punctuation
ValueCountFrequency (%)
) 269
100.0%
Open Punctuation
ValueCountFrequency (%)
( 269
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5585
56.2%
Common 4315
43.4%
Latin 31
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 437
 
7.8%
남 400
 
7.2%
동 292
 
5.2%
구 289
 
5.2%
시 278
 
5.0%
로 277
 
5.0%
기 271
 
4.9%
경 270
 
4.8%
도 270
 
4.8%
호 156
 
2.8%
Other values (212) 2645
47.4%
Common
ValueCountFrequency (%)
1811
42.0%
1 382
 
8.9%
. 315
 
7.3%
) 269
 
6.2%
( 269
 
6.2%
2 244
 
5.7%
3 195
 
4.5%
0 183
 
4.2%
4 177
 
4.1%
5 110
 
2.5%
Other values (6) 360
 
8.3%
Latin
ValueCountFrequency (%)
B 10
32.3%
C 5
16.1%
A 4
 
12.9%
E 2
 
6.5%
b 2
 
6.5%
N 2
 
6.5%
K 1
 
3.2%
W 1
 
3.2%
Y 1
 
3.2%
H 1
 
3.2%
Other values (2) 2
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5585
56.2%
ASCII 4345
43.8%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1811
41.7%
1 382
 
8.8%
. 315
 
7.2%
) 269
 
6.2%
( 269
 
6.2%
2 244
 
5.6%
3 195
 
4.5%
0 183
 
4.2%
4 177
 
4.1%
5 110
 
2.5%
Other values (17) 390
 
9.0%
Hangul
ValueCountFrequency (%)
성 437
 
7.8%
남 400
 
7.2%
동 292
 
5.2%
구 289
 
5.2%
시 278
 
5.0%
로 277
 
5.0%
기 271
 
4.9%
경 270
 
4.8%
도 270
 
4.8%
호 156
 
2.8%
Other values (212) 2645
47.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지전화번호
Text

MISSING 

Distinct179
Distinct (%)100.0%
Missing91
Missing (%)33.7%
Memory size2.2 KiB
2023-12-12T23:12:31.938592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.949721
Min length9

Characters and Unicode

Total characters2139
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

Unique179 ?
Unique (%)100.0%

Sample

1st row031-707-7702
2nd row070-8772-4136
3rd row031-759-1617
4th row031-755-6666
5th row031-723-7700
ValueCountFrequency (%)
031-719-2415 1
 
0.6%
031-732-0440 1
 
0.6%
031-757-0404 1
 
0.6%
031-701-2114 1
 
0.6%
031-733-1080 1
 
0.6%
031-721-9800 1
 
0.6%
031-758-4841 1
 
0.6%
031-715-0909 1
 
0.6%
031-749-9110 1
 
0.6%
031-733-3322 1
 
0.6%
Other values (169) 169
94.4%
2023-12-12T23:12:32.340145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 353
16.5%
0 324
15.1%
1 316
14.8%
3 266
12.4%
7 261
12.2%
5 134
 
6.3%
2 115
 
5.4%
4 108
 
5.0%
8 99
 
4.6%
9 90
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1786
83.5%
Dash Punctuation 353
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 324
18.1%
1 316
17.7%
3 266
14.9%
7 261
14.6%
5 134
7.5%
2 115
 
6.4%
4 108
 
6.0%
8 99
 
5.5%
9 90
 
5.0%
6 73
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 353
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2139
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 353
16.5%
0 324
15.1%
1 316
14.8%
3 266
12.4%
7 261
12.2%
5 134
 
6.3%
2 115
 
5.4%
4 108
 
5.0%
8 99
 
4.6%
9 90
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2139
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 353
16.5%
0 324
15.1%
1 316
14.8%
3 266
12.4%
7 261
12.2%
5 134
 
6.3%
2 115
 
5.4%
4 108
 
5.0%
8 99
 
4.6%
9 90
 
4.2%

법인구분
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
개인
209 
법인
61 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개인
2nd row개인
3rd row개인
4th row법인
5th row개인

Common Values

ValueCountFrequency (%)
개인 209
77.4%
법인 61
 
22.6%

Length

2023-12-12T23:12:32.477562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:12:32.568046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 209
77.4%
법인 61
 
22.6%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2023-06-15 00:00:00
Maximum2023-06-15 00:00:00
2023-12-12T23:12:33.050436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:12:33.141648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T23:12:29.032332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:12:33.219644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번유무료구분법인구분
연번1.0000.0850.024
유무료구분0.0851.0000.659
법인구분0.0240.6591.000
2023-12-12T23:12:33.321748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유무료구분법인구분
유무료구분1.0000.458
법인구분0.4581.000
2023-12-12T23:12:33.436418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번유무료구분법인구분
연번1.0000.0630.014
유무료구분0.0631.0000.458
법인구분0.0140.4581.000

Missing values

2023-12-12T23:12:29.122316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:12:29.231187image/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.
2023-12-12T23:12:29.315203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번유무료구분사업장명인허가일자사업장지번주소사업장도로명주소소재지전화번호법인구분데이터기준일
01유료앨리슨앤드컴퍼니2023-05-22경기도 성남시 분당구 서현동 272-3 텍스타워경기도 성남시 분당구 황새울로319번길 6. 텍스타워 808호 (서현동)<NA>개인2023-06-15
12유료한국열린행정사사무소2023-05-15경기도 성남시 수정구 수진동 3995경기도 성남시 수정구 성남대로 1200. 205호 (수진동)<NA>개인2023-06-15
23유료엘림써치2023-05-12경기도 성남시 분당구 구미동 63 까치마을경기도 성남시 분당구 미금일로 58. b04호 (구미동. 까치마을)<NA>개인2023-06-15
34유료(주)하트맘케어2023-05-08경기도 성남시 분당구 구미동 185-3 하나프라자빌딩경기도 성남시 분당구 성남대로 34. 하나프라자빌딩 702호 (구미동)<NA>법인2023-06-15
45유료흥원인력2023-04-28경기도 성남시 중원구 금광동 4465경기도 성남시 중원구 산성대로 398. 2층 (금광동)<NA>개인2023-06-15
56유료주식회사새암마음연구소2023-04-26경기도 성남시 분당구 구미동 23-1 분당프라자경기도 성남시 분당구 돌마로 68. 분당프라자 609호 (구미동)<NA>법인2023-06-15
67유료주식회사쓰리에이치씨엔에프2023-04-24경기도 성남시 중원구 여수동 571경기도 성남시 중원구 여수울로29번길 14-9. 1층 (여수동)<NA>법인2023-06-15
78유료허브인력2023-02-23경기도 성남시 중원구 하대원동 101 남영빌딩<NA><NA>개인2023-06-15
89유료새일 잡2023-02-01경기도 성남시 수정구 복정동 709-8경기도 성남시 수정구 복정로16번길 11. 102호 (복정동)<NA>개인2023-06-15
910유료드림인력개발2023-01-19경기도 성남시 중원구 상대원동 1448경기도 성남시 중원구 둔촌대로 429. 지층 (상대원동)<NA>개인2023-06-15
연번유무료구분사업장명인허가일자사업장지번주소사업장도로명주소소재지전화번호법인구분데이터기준일
260261유료대영개발직업소개소2000-03-13경기도 성남시 중원구 성남동 3219번지 아트팰리스 304-1호경기도 성남시 중원구 광명로 4. 304-1호 (성남동. 아트팰리스)031-757-1892개인2023-06-15
261262유료중앙파출부2000-03-13경기도 성남시 중원구 성남동 4163번지 오리타워 609호경기도 성남시 중원구 성남대로1147번길 3. 609호 (성남동. 오라타워)031-751-0503개인2023-06-15
262263무료(사)전국건설기능훈련취업지원센터 성남건설무료취업알선센터1999-10-18경기도 성남시 수정구 태평동 5211번지경기도 성남시 수정구 성남대로 1282 (태평동)031-721-0826법인2023-06-15
263264무료(사)한국YWCA연합회 성남여성인력개발센터 무료직업소개소1998-11-20경기도 성남시 수정구 창곡동 562번지 1호 위례우남역KCC웰츠타워경기도 성남시 수정구 위례광장로 21-9. 위례우남역KCC웰츠타워 3층 (창곡동)031-718-6696법인2023-06-15
264265유료스타컴인재컨설팅(주)1998-08-14경기도 성남시 분당구 정자동 9번지 아이파크분당1경기도 성남시 분당구 정자일로 239. 102동 401호 (정자동. 아이파크분당1)031-756-0761법인2023-06-15
265266유료한솔유료직업소개소1997-08-29경기도 성남시 분당구 야탑동 367번지 4호 세신옴니코아빌딩 602호경기도 성남시 분당구 야탑로 95. 602호 (야탑동. 세신옴니코아빌딩)031-709-7772개인2023-06-15
266267유료중동한신인력1997-04-12경기도 성남시 수정구 신흥동 2463-4 한신프라자경기도 성남시 수정구 산성대로 331. 한신프라자 414호 (신흥동)031-746-1919개인2023-06-15
267268무료청솔종합사회복지관 무료직업소개사업소1996-11-04경기도 성남시 분당구 금곡동 126번지 청솔마을주공6단지아파트 2층경기도 성남시 분당구 미금로 246. 2층 (금곡동. 청솔마을주공6단지아파트)031-714-6333법인2023-06-15
268269무료성남상공회의소1995-11-27경기도 성남시 분당구 이매동 113번지 성남상공회의소경기도 성남시 분당구 양현로 164 (이매동. 성남상공회의소)031-781-7903법인2023-06-15
269270유료달란트직업소개소1993-08-30경기도 성남시 중원구 성남동 3211경기도 성남시 중원구 성남대로 1158. 4층 (성남동)031-753-1185개인2023-06-15