Overview

Dataset statistics

Number of variables11
Number of observations376
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.2 KiB
Average record size in memory90.4 B

Variable types

Text6
Numeric2
Categorical2
DateTime1

Dataset

Description대구광역시 달서구 내 여성기업에 대한 내용 및 정보가 담겨있음.(업체명, 대표자, 상시근로자, 소재지, 주업종, 전화번호, 주요 생산품목)
Author대구광역시 달서구
URLhttps://www.data.go.kr/data/15077341/fileData.do

Alerts

담당부서 has constant value ""Constant
기준일자 has constant value ""Constant
번호 has unique valuesUnique
상시근로자 has 66 (17.6%) zerosZeros

Reproduction

Analysis started2023-12-12 15:06:49.284975
Analysis finished2023-12-12 15:06:50.752628
Duration1.47 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

위도
Text

Distinct343
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-13T00:06:50.944381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.781915
Min length4

Characters and Unicode

Total characters4054
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique322 ?
Unique (%)85.6%

Sample

1st row35.84115589
2nd row35.82666364
3rd row35.83469371
4th row35.85444989
5th row35.82529054
ValueCountFrequency (%)
비정좌표 6
 
1.6%
35.84952609 4
 
1.1%
35.83783033 3
 
0.8%
35.84036027 3
 
0.8%
35.83408091 3
 
0.8%
35.83367508 3
 
0.8%
35.8578244 3
 
0.8%
35.84915334 3
 
0.8%
35.83963033 2
 
0.5%
35.84875844 2
 
0.5%
Other values (333) 344
91.5%
2023-12-13T00:06:51.418065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 700
17.3%
5 693
17.1%
8 577
14.2%
. 370
9.1%
4 280
 
6.9%
2 270
 
6.7%
0 238
 
5.9%
1 237
 
5.8%
9 233
 
5.7%
7 227
 
5.6%
Other values (5) 229
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3660
90.3%
Other Punctuation 370
 
9.1%
Other Letter 24
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 700
19.1%
5 693
18.9%
8 577
15.8%
4 280
 
7.7%
2 270
 
7.4%
0 238
 
6.5%
1 237
 
6.5%
9 233
 
6.4%
7 227
 
6.2%
6 205
 
5.6%
Other Letter
ValueCountFrequency (%)
비 6
25.0%
정 6
25.0%
좌 6
25.0%
표 6
25.0%
Other Punctuation
ValueCountFrequency (%)
. 370
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4030
99.4%
Hangul 24
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
3 700
17.4%
5 693
17.2%
8 577
14.3%
. 370
9.2%
4 280
 
6.9%
2 270
 
6.7%
0 238
 
5.9%
1 237
 
5.9%
9 233
 
5.8%
7 227
 
5.6%
Hangul
ValueCountFrequency (%)
비 6
25.0%
정 6
25.0%
좌 6
25.0%
표 6
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4030
99.4%
Hangul 24
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 700
17.4%
5 693
17.2%
8 577
14.3%
. 370
9.2%
4 280
 
6.9%
2 270
 
6.7%
0 238
 
5.9%
1 237
 
5.9%
9 233
 
5.8%
7 227
 
5.6%
Hangul
ValueCountFrequency (%)
비 6
25.0%
정 6
25.0%
좌 6
25.0%
표 6
25.0%

경도
Text

Distinct343
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-13T00:06:51.712272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.795213
Min length4

Characters and Unicode

Total characters4059
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique322 ?
Unique (%)85.6%

Sample

1st row128.4789847
2nd row128.5559616
3rd row128.5009395
4th row128.5697629
5th row128.5546792
ValueCountFrequency (%)
비정좌표 6
 
1.6%
128.4909032 4
 
1.1%
128.5383622 3
 
0.8%
128.4885219 3
 
0.8%
128.5443249 3
 
0.8%
128.5383894 3
 
0.8%
128.5276471 3
 
0.8%
128.4894838 3
 
0.8%
128.5015794 2
 
0.5%
128.4912748 2
 
0.5%
Other values (333) 344
91.5%
2023-12-13T00:06:52.252123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 627
15.4%
8 593
14.6%
1 586
14.4%
5 539
13.3%
. 370
9.1%
4 294
7.2%
3 247
 
6.1%
9 215
 
5.3%
0 198
 
4.9%
7 187
 
4.6%
Other values (5) 203
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3665
90.3%
Other Punctuation 370
 
9.1%
Other Letter 24
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 627
17.1%
8 593
16.2%
1 586
16.0%
5 539
14.7%
4 294
8.0%
3 247
 
6.7%
9 215
 
5.9%
0 198
 
5.4%
7 187
 
5.1%
6 179
 
4.9%
Other Letter
ValueCountFrequency (%)
비 6
25.0%
정 6
25.0%
좌 6
25.0%
표 6
25.0%
Other Punctuation
ValueCountFrequency (%)
. 370
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4035
99.4%
Hangul 24
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
2 627
15.5%
8 593
14.7%
1 586
14.5%
5 539
13.4%
. 370
9.2%
4 294
7.3%
3 247
 
6.1%
9 215
 
5.3%
0 198
 
4.9%
7 187
 
4.6%
Hangul
ValueCountFrequency (%)
비 6
25.0%
정 6
25.0%
좌 6
25.0%
표 6
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4035
99.4%
Hangul 24
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 627
15.5%
8 593
14.7%
1 586
14.5%
5 539
13.4%
. 370
9.2%
4 294
7.3%
3 247
 
6.1%
9 215
 
5.3%
0 198
 
4.9%
7 187
 
4.6%
Hangul
ValueCountFrequency (%)
비 6
25.0%
정 6
25.0%
좌 6
25.0%
표 6
25.0%

번호
Real number (ℝ)

UNIQUE 

Distinct376
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean188.5
Minimum1
Maximum376
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-13T00:06:52.485723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19.75
Q194.75
median188.5
Q3282.25
95-th percentile357.25
Maximum376
Range375
Interquartile range (IQR)187.5

Descriptive statistics

Standard deviation108.68609
Coefficient of variation (CV)0.57658404
Kurtosis-1.2
Mean188.5
Median Absolute Deviation (MAD)94
Skewness0
Sum70876
Variance11812.667
MonotonicityStrictly increasing
2023-12-13T00:06:52.667282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
249 1
 
0.3%
258 1
 
0.3%
257 1
 
0.3%
256 1
 
0.3%
255 1
 
0.3%
254 1
 
0.3%
253 1
 
0.3%
252 1
 
0.3%
251 1
 
0.3%
Other values (366) 366
97.3%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
376 1
0.3%
375 1
0.3%
374 1
0.3%
373 1
0.3%
372 1
0.3%
371 1
0.3%
370 1
0.3%
369 1
0.3%
368 1
0.3%
367 1
0.3%

업체명
Text

Distinct375
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-13T00:06:52.961986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length6.7180851
Min length2

Characters and Unicode

Total characters2526
Distinct characters392
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique374 ?
Unique (%)99.5%

Sample

1st row다우엔지니어링
2nd row보나상사
3rd row(주)아인스생활건강
4th row미쁜디자인
5th row해성고속관광(주)
ValueCountFrequency (%)
주식회사 55
 
12.1%
컴퍼니 3
 
0.7%
주 3
 
0.7%
아담앤이브 2
 
0.4%
이레영어교습소 1
 
0.2%
주)디에스통상 1
 
0.2%
엔젤하우스 1
 
0.2%
열두광주리 1
 
0.2%
더원 1
 
0.2%
대경프린텍 1
 
0.2%
Other values (384) 384
84.8%
2023-12-13T00:06:53.397612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 161
 
6.4%
) 97
 
3.8%
( 95
 
3.8%
사 93
 
3.7%
80
 
3.2%
이 70
 
2.8%
회 70
 
2.8%
식 70
 
2.8%
스 47
 
1.9%
대 30
 
1.2%
Other values (382) 1713
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2212
87.6%
Close Punctuation 97
 
3.8%
Open Punctuation 95
 
3.8%
Space Separator 80
 
3.2%
Uppercase Letter 20
 
0.8%
Lowercase Letter 15
 
0.6%
Decimal Number 6
 
0.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 161
 
7.3%
사 93
 
4.2%
이 70
 
3.2%
회 70
 
3.2%
식 70
 
3.2%
스 47
 
2.1%
대 30
 
1.4%
리 27
 
1.2%
아 27
 
1.2%
에 25
 
1.1%
Other values (352) 1592
72.0%
Uppercase Letter
ValueCountFrequency (%)
C 4
20.0%
E 3
15.0%
N 3
15.0%
I 2
10.0%
S 1
 
5.0%
T 1
 
5.0%
F 1
 
5.0%
G 1
 
5.0%
L 1
 
5.0%
Y 1
 
5.0%
Other values (2) 2
10.0%
Lowercase Letter
ValueCountFrequency (%)
s 4
26.7%
t 2
13.3%
e 2
13.3%
k 1
 
6.7%
p 1
 
6.7%
g 1
 
6.7%
o 1
 
6.7%
h 1
 
6.7%
l 1
 
6.7%
r 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
9 2
33.3%
3 1
16.7%
2 1
16.7%
Close Punctuation
ValueCountFrequency (%)
) 97
100.0%
Open Punctuation
ValueCountFrequency (%)
( 95
100.0%
Space Separator
ValueCountFrequency (%)
80
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2212
87.6%
Common 279
 
11.0%
Latin 35
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 161
 
7.3%
사 93
 
4.2%
이 70
 
3.2%
회 70
 
3.2%
식 70
 
3.2%
스 47
 
2.1%
대 30
 
1.4%
리 27
 
1.2%
아 27
 
1.2%
에 25
 
1.1%
Other values (352) 1592
72.0%
Latin
ValueCountFrequency (%)
s 4
 
11.4%
C 4
 
11.4%
E 3
 
8.6%
N 3
 
8.6%
t 2
 
5.7%
e 2
 
5.7%
I 2
 
5.7%
S 1
 
2.9%
T 1
 
2.9%
k 1
 
2.9%
Other values (12) 12
34.3%
Common
ValueCountFrequency (%)
) 97
34.8%
( 95
34.1%
80
28.7%
1 2
 
0.7%
9 2
 
0.7%
& 1
 
0.4%
3 1
 
0.4%
2 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2212
87.6%
ASCII 314
 
12.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 161
 
7.3%
사 93
 
4.2%
이 70
 
3.2%
회 70
 
3.2%
식 70
 
3.2%
스 47
 
2.1%
대 30
 
1.4%
리 27
 
1.2%
아 27
 
1.2%
에 25
 
1.1%
Other values (352) 1592
72.0%
ASCII
ValueCountFrequency (%)
) 97
30.9%
( 95
30.3%
80
25.5%
s 4
 
1.3%
C 4
 
1.3%
E 3
 
1.0%
N 3
 
1.0%
1 2
 
0.6%
t 2
 
0.6%
9 2
 
0.6%
Other values (20) 22
 
7.0%

상시근로자
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.9574468
Minimum0
Maximum700
Zeros66
Zeros (%)17.6%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-13T00:06:53.569847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile23.5
Maximum700
Range700
Interquartile range (IQR)4

Descriptive statistics

Standard deviation36.765394
Coefficient of variation (CV)5.2843227
Kurtosis339.14472
Mean6.9574468
Median Absolute Deviation (MAD)2
Skewness17.985786
Sum2616
Variance1351.6942
MonotonicityNot monotonic
2023-12-13T00:06:53.699560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
1 92
24.5%
0 66
17.6%
2 45
12.0%
5 30
 
8.0%
3 29
 
7.7%
4 27
 
7.2%
9 10
 
2.7%
7 8
 
2.1%
6 7
 
1.9%
8 6
 
1.6%
Other values (25) 56
14.9%
ValueCountFrequency (%)
0 66
17.6%
1 92
24.5%
2 45
12.0%
3 29
 
7.7%
4 27
 
7.2%
5 30
 
8.0%
6 7
 
1.9%
7 8
 
2.1%
8 6
 
1.6%
9 10
 
2.7%
ValueCountFrequency (%)
700 1
0.3%
58 1
0.3%
50 1
0.3%
48 1
0.3%
42 1
0.3%
41 1
0.3%
40 2
0.5%
34 1
0.3%
32 1
0.3%
29 1
0.3%

소재지
Text

Distinct375
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-13T00:06:54.014926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length44
Mean length26.965426
Min length15

Characters and Unicode

Total characters10139
Distinct characters287
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

Unique374 ?
Unique (%)99.5%

Sample

1st row대구광역시 달서구 호산로2길 7다우엔지니어링
2nd row대구광역시 달서구 월배로80길 116.
3rd row대구광역시 달서구 성서공단로 166 2층(월암동)
4th row대구광역시 달서구 파도고개로 99 1층
5th row대구광역시 달서구 앞산순환로 243 2층
ValueCountFrequency (%)
달서구 376
 
19.3%
대구광역시 372
 
19.1%
1층 63
 
3.2%
2층 42
 
2.2%
3층 22
 
1.1%
달서대로 13
 
0.7%
송현동 10
 
0.5%
4층 10
 
0.5%
5층 10
 
0.5%
성서공단로 9
 
0.5%
Other values (700) 1024
52.5%
2023-12-13T00:06:54.600921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1579
 
15.6%
구 798
 
7.9%
서 509
 
5.0%
1 461
 
4.5%
대 457
 
4.5%
달 422
 
4.2%
시 376
 
3.7%
광 375
 
3.7%
역 373
 
3.7%
로 359
 
3.5%
Other values (277) 4430
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6168
60.8%
Decimal Number 1990
 
19.6%
Space Separator 1579
 
15.6%
Close Punctuation 148
 
1.5%
Open Punctuation 148
 
1.5%
Dash Punctuation 78
 
0.8%
Uppercase Letter 21
 
0.2%
Other Punctuation 4
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 798
 
12.9%
서 509
 
8.3%
대 457
 
7.4%
달 422
 
6.8%
시 376
 
6.1%
광 375
 
6.1%
역 373
 
6.0%
로 359
 
5.8%
동 200
 
3.2%
길 188
 
3.0%
Other values (249) 2111
34.2%
Decimal Number
ValueCountFrequency (%)
1 461
23.2%
2 315
15.8%
0 236
11.9%
3 230
11.6%
5 170
 
8.5%
4 144
 
7.2%
6 125
 
6.3%
7 121
 
6.1%
9 101
 
5.1%
8 87
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
B 7
33.3%
M 3
14.3%
C 2
 
9.5%
A 2
 
9.5%
E 2
 
9.5%
J 2
 
9.5%
K 1
 
4.8%
S 1
 
4.8%
D 1
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
e 1
33.3%
t 1
33.3%
r 1
33.3%
Other Punctuation
ValueCountFrequency (%)
/ 2
50.0%
. 2
50.0%
Space Separator
ValueCountFrequency (%)
1579
100.0%
Close Punctuation
ValueCountFrequency (%)
) 148
100.0%
Open Punctuation
ValueCountFrequency (%)
( 148
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6168
60.8%
Common 3947
38.9%
Latin 24
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 798
 
12.9%
서 509
 
8.3%
대 457
 
7.4%
달 422
 
6.8%
시 376
 
6.1%
광 375
 
6.1%
역 373
 
6.0%
로 359
 
5.8%
동 200
 
3.2%
길 188
 
3.0%
Other values (249) 2111
34.2%
Common
ValueCountFrequency (%)
1579
40.0%
1 461
 
11.7%
2 315
 
8.0%
0 236
 
6.0%
3 230
 
5.8%
5 170
 
4.3%
) 148
 
3.7%
( 148
 
3.7%
4 144
 
3.6%
6 125
 
3.2%
Other values (6) 391
 
9.9%
Latin
ValueCountFrequency (%)
B 7
29.2%
M 3
12.5%
C 2
 
8.3%
A 2
 
8.3%
E 2
 
8.3%
J 2
 
8.3%
K 1
 
4.2%
e 1
 
4.2%
S 1
 
4.2%
D 1
 
4.2%
Other values (2) 2
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6168
60.8%
ASCII 3971
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1579
39.8%
1 461
 
11.6%
2 315
 
7.9%
0 236
 
5.9%
3 230
 
5.8%
5 170
 
4.3%
) 148
 
3.7%
( 148
 
3.7%
4 144
 
3.6%
6 125
 
3.1%
Other values (18) 415
 
10.5%
Hangul
ValueCountFrequency (%)
구 798
 
12.9%
서 509
 
8.3%
대 457
 
7.4%
달 422
 
6.8%
시 376
 
6.1%
광 375
 
6.1%
역 373
 
6.0%
로 359
 
5.8%
동 200
 
3.2%
길 188
 
3.0%
Other values (249) 2111
34.2%

주업종
Categorical

Distinct31
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
제조업
104 
도매 및 소매업
91 
건설업
61 
교육 서비스업
19 
사업시설 관리 사업 지원 및 임대 서비스업
16 
Other values (26)
85 

Length

Max length47
Median length32
Mean length7.662234
Min length3

Unique

Unique15 ?
Unique (%)4.0%

Sample

1st row제조업
2nd row그 밖의 모든 업종
3rd row제조업
4th row전문 과학 및 기술 서비스업
5th row운수 및 창고업

Common Values

ValueCountFrequency (%)
제조업 104
27.7%
도매 및 소매업 91
24.2%
건설업 61
16.2%
교육 서비스업 19
 
5.1%
사업시설 관리 사업 지원 및 임대 서비스업 16
 
4.3%
전문 과학 및 기술 서비스업 12
 
3.2%
협회 및 단체 수리 및 기타 개인 서비스업 10
 
2.7%
정보통신업 10
 
2.7%
예술 스포츠 및 여가관련 서비스업 8
 
2.1%
그 밖의 모든 업종 8
 
2.1%
Other values (21) 37
 
9.8%

Length

2023-12-13T00:06:54.761399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
및 179
19.0%
제조업 104
11.1%
소매업 98
 
10.4%
도매 95
 
10.1%
서비스업 71
 
7.6%
건설업 61
 
6.5%
교육 20
 
2.1%
사업 18
 
1.9%
지원 18
 
1.9%
임대 18
 
1.9%
Other values (44) 258
27.4%

전화번호
Text

Distinct291
Distinct (%)77.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-13T00:06:55.043923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.082447
Min length12

Characters and Unicode

Total characters4543
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

Unique286 ?
Unique (%)76.1%

Sample

1st row053-591-3057
2nd row053-252-2350
3rd row053-525-3302
4th row053-263-2524
5th row053-477-5050
ValueCountFrequency (%)
000-000-0000 82
 
21.8%
053-592-5710 2
 
0.5%
053-628-5400 2
 
0.5%
053-591-8588 2
 
0.5%
053-582-2087 2
 
0.5%
053-523-0533 1
 
0.3%
053-625-0083 1
 
0.3%
053-562-4900 1
 
0.3%
053-583-6111 1
 
0.3%
053-287-4728 1
 
0.3%
Other values (281) 281
74.7%
2023-12-13T00:06:55.472860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1355
29.8%
- 752
16.6%
5 575
12.7%
3 461
 
10.1%
6 244
 
5.4%
2 234
 
5.2%
8 231
 
5.1%
7 226
 
5.0%
1 185
 
4.1%
4 161
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3791
83.4%
Dash Punctuation 752
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1355
35.7%
5 575
15.2%
3 461
 
12.2%
6 244
 
6.4%
2 234
 
6.2%
8 231
 
6.1%
7 226
 
6.0%
1 185
 
4.9%
4 161
 
4.2%
9 119
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 752
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4543
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1355
29.8%
- 752
16.6%
5 575
12.7%
3 461
 
10.1%
6 244
 
5.4%
2 234
 
5.2%
8 231
 
5.1%
7 226
 
5.0%
1 185
 
4.1%
4 161
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4543
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1355
29.8%
- 752
16.6%
5 575
12.7%
3 461
 
10.1%
6 244
 
5.4%
2 234
 
5.2%
8 231
 
5.1%
7 226
 
5.0%
1 185
 
4.1%
4 161
 
3.5%

주요 생산품목
Text

Distinct282
Distinct (%)75.2%
Missing1
Missing (%)0.3%
Memory size3.1 KiB
2023-12-13T00:06:55.742196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length28
Mean length8.7626667
Min length1

Characters and Unicode

Total characters3286
Distinct characters382
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique241 ?
Unique (%)64.3%

Sample

1st row텔레비전거치대
2nd row사무용칼
3rd row가정용음식물쓰레기처리기
4th row디자인서비스
5th row전세버스 일반여행업
ValueCountFrequency (%)
및 24
 
3.7%
서비스복합 14
 
2.2%
기타교육서비스 10
 
1.5%
등 10
 
1.5%
전기공사 9
 
1.4%
건축공사 8
 
1.2%
제조분야 7
 
1.1%
건물청소서비스 7
 
1.1%
기타 7
 
1.1%
음식점서비스 5
 
0.8%
Other values (432) 545
84.4%
2023-12-13T00:06:56.173309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
277
 
8.4%
비 118
 
3.6%
기 112
 
3.4%
스 111
 
3.4%
서 98
 
3.0%
공 72
 
2.2%
사 70
 
2.1%
용 67
 
2.0%
품 57
 
1.7%
제 46
 
1.4%
Other values (372) 2258
68.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2944
89.6%
Space Separator 277
 
8.4%
Decimal Number 17
 
0.5%
Uppercase Letter 11
 
0.3%
Lowercase Letter 11
 
0.3%
Other Punctuation 10
 
0.3%
Open Punctuation 8
 
0.2%
Close Punctuation 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
비 118
 
4.0%
기 112
 
3.8%
스 111
 
3.8%
서 98
 
3.3%
공 72
 
2.4%
사 70
 
2.4%
용 67
 
2.3%
품 57
 
1.9%
제 46
 
1.6%
소 43
 
1.5%
Other values (341) 2150
73.0%
Lowercase Letter
ValueCountFrequency (%)
r 2
18.2%
e 2
18.2%
v 1
9.1%
p 1
9.1%
o 1
9.1%
l 1
9.1%
y 1
9.1%
s 1
9.1%
t 1
9.1%
Decimal Number
ValueCountFrequency (%)
1 5
29.4%
0 3
17.6%
4 3
17.6%
9 2
 
11.8%
2 1
 
5.9%
7 1
 
5.9%
8 1
 
5.9%
6 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
E 2
18.2%
V 2
18.2%
D 2
18.2%
L 2
18.2%
T 1
9.1%
C 1
9.1%
P 1
9.1%
Other Punctuation
ValueCountFrequency (%)
. 7
70.0%
: 1
 
10.0%
% 1
 
10.0%
· 1
 
10.0%
Space Separator
ValueCountFrequency (%)
277
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2944
89.6%
Common 320
 
9.7%
Latin 22
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
비 118
 
4.0%
기 112
 
3.8%
스 111
 
3.8%
서 98
 
3.3%
공 72
 
2.4%
사 70
 
2.4%
용 67
 
2.3%
품 57
 
1.9%
제 46
 
1.6%
소 43
 
1.5%
Other values (341) 2150
73.0%
Latin
ValueCountFrequency (%)
E 2
 
9.1%
V 2
 
9.1%
D 2
 
9.1%
L 2
 
9.1%
r 2
 
9.1%
e 2
 
9.1%
T 1
 
4.5%
v 1
 
4.5%
C 1
 
4.5%
P 1
 
4.5%
Other values (6) 6
27.3%
Common
ValueCountFrequency (%)
277
86.6%
( 8
 
2.5%
) 8
 
2.5%
. 7
 
2.2%
1 5
 
1.6%
0 3
 
0.9%
4 3
 
0.9%
9 2
 
0.6%
2 1
 
0.3%
7 1
 
0.3%
Other values (5) 5
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2943
89.6%
ASCII 341
 
10.4%
Compat Jamo 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
277
81.2%
( 8
 
2.3%
) 8
 
2.3%
. 7
 
2.1%
1 5
 
1.5%
0 3
 
0.9%
4 3
 
0.9%
E 2
 
0.6%
V 2
 
0.6%
D 2
 
0.6%
Other values (20) 24
 
7.0%
Hangul
ValueCountFrequency (%)
비 118
 
4.0%
기 112
 
3.8%
스 111
 
3.8%
서 98
 
3.3%
공 72
 
2.4%
사 70
 
2.4%
용 67
 
2.3%
품 57
 
1.9%
제 46
 
1.6%
소 43
 
1.5%
Other values (340) 2149
73.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
대구광역시 달서구 경제지원과
376 

Length

Max length15
Median length15
Mean length15
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 달서구 경제지원과
2nd row대구광역시 달서구 경제지원과
3rd row대구광역시 달서구 경제지원과
4th row대구광역시 달서구 경제지원과
5th row대구광역시 달서구 경제지원과

Common Values

ValueCountFrequency (%)
대구광역시 달서구 경제지원과 376
100.0%

Length

2023-12-13T00:06:56.316387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:06:56.406750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 376
33.3%
달서구 376
33.3%
경제지원과 376
33.3%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2023-03-20 00:00:00
Maximum2023-03-20 00:00:00
2023-12-13T00:06:56.481527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:06:56.570229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T00:06:50.328542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:06:50.138127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:06:50.415325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:06:50.219983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:06:56.637750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호상시근로자주업종
번호1.0000.0000.160
상시근로자0.0001.0000.000
주업종0.1600.0001.000
2023-12-13T00:06:56.717191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호상시근로자주업종
번호1.0000.0850.044
상시근로자0.0851.0000.000
주업종0.0440.0001.000

Missing values

2023-12-13T00:06:50.535713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:06:50.671777image/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

위도경도번호업체명상시근로자소재지주업종전화번호주요 생산품목담당부서기준일자
035.84115589128.47898471다우엔지니어링9대구광역시 달서구 호산로2길 7다우엔지니어링제조업053-591-3057텔레비전거치대대구광역시 달서구 경제지원과2023-03-20
135.82666364128.55596162보나상사0대구광역시 달서구 월배로80길 116.그 밖의 모든 업종053-252-2350사무용칼대구광역시 달서구 경제지원과2023-03-20
235.83469371128.50093953(주)아인스생활건강2대구광역시 달서구 성서공단로 166 2층(월암동)제조업053-525-3302가정용음식물쓰레기처리기대구광역시 달서구 경제지원과2023-03-20
335.85444989128.56976294미쁜디자인1대구광역시 달서구 파도고개로 99 1층전문 과학 및 기술 서비스업053-263-2524디자인서비스대구광역시 달서구 경제지원과2023-03-20
435.82529054128.55467925해성고속관광(주)14대구광역시 달서구 앞산순환로 243 2층운수 및 창고업053-477-5050전세버스 일반여행업대구광역시 달서구 경제지원과2023-03-20
535.83917598128.50030366(주)파랑홈디자인9대구광역시 달서구 성서서로 160오른쪽 건물 파랑홈디자인제조업053-588-1114이불대구광역시 달서구 경제지원과2023-03-20
635.84368093128.53814727해피인투어1대구광역시 달서구 장기로 204 1층 해피인투어예술 스포츠 및 여가관련 서비스업053-248-1515여행서비스(달서구)대구광역시 달서구 경제지원과2023-03-20
735.84739661128.52133418주식회사 홍익기술산업12대구광역시 달서구 문화회관3길 27 2층건설업053-721-7984도장공사대구광역시 달서구 경제지원과2023-03-20
835.84426772128.53994459주식회사코드2대구광역시 달서구 장기로36안길 28(감삼동)315-5사업시설 관리 사업 지원 및 임대 서비스업053-563-9600기타행사기획및대행서비스대구광역시 달서구 경제지원과2023-03-20
935.85812027128.532077910골드이엔지2대구광역시 달서구 와룡로57길 92용산동건설업|도매 및 소매업|그 밖의 모든 업종053-522-6420시설설비유지관리서비스대구광역시 달서구 경제지원과2023-03-20
위도경도번호업체명상시근로자소재지주업종전화번호주요 생산품목담당부서기준일자
36635.85603109128.5377105367율성유통1대구광역시 달서구 와룡로 260-1 201호도매 및 소매업053-566-6417볼펜대구광역시 달서구 경제지원과2023-03-20
36735.81602214128.535448368꼬그꼬리아 주식회사1대구광역시 달서구 월곡로53길 70 2층제조업|도매 및 소매업053-264-6120여성용잠옷대구광역시 달서구 경제지원과2023-03-20
36835.83983359128.5317894369주식회사 문화교육창작소봄2대구광역시 달서구 와룡로15길 91 2층교육 서비스업070-8827-1828기타교육서비스대구광역시 달서구 경제지원과2023-03-20
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