Overview

Dataset statistics

Number of variables9
Number of observations79
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.8 KiB
Average record size in memory75.7 B

Variable types

Numeric2
Text5
Categorical2

Dataset

Description달서구 관내 장애인 기업 현황입니다.(업체명, 대표자명, 전화번호, 팩스번호, 주소, 좌표(위도, 경도), 주업종 등)
Author대구광역시 달서구
URLhttps://www.data.go.kr/data/15113580/fileData.do

Alerts

관리부서 has constant value ""Constant
기준일자 has constant value ""Constant
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:44:16.075625
Analysis finished2023-12-12 14:44:17.768449
Duration1.69 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

위도
Real number (ℝ)

Distinct74
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.83944
Minimum35.808215
Maximum35.862082
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size843.0 B
2023-12-12T23:44:17.859160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.808215
5-th percentile35.815157
Q135.830131
median35.841251
Q335.849821
95-th percentile35.858535
Maximum35.862082
Range0.05386683
Interquartile range (IQR)0.019689855

Descriptive statistics

Standard deviation0.013294324
Coefficient of variation (CV)0.00037094118
Kurtosis-0.56898592
Mean35.83944
Median Absolute Deviation (MAD)0.00949069
Skewness-0.4240699
Sum2831.3158
Variance0.00017673906
MonotonicityNot monotonic
2023-12-12T23:44:18.038949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.84952609 4
 
5.1%
35.8508736 2
 
2.5%
35.8228859 2
 
2.5%
35.85074123 1
 
1.3%
35.8435843 1
 
1.3%
35.84714576 1
 
1.3%
35.83076343 1
 
1.3%
35.83247671 1
 
1.3%
35.82282281 1
 
1.3%
35.81521292 1
 
1.3%
Other values (64) 64
81.0%
ValueCountFrequency (%)
35.80821509 1
1.3%
35.81034216 1
1.3%
35.81056738 1
1.3%
35.81485213 1
1.3%
35.81519129 1
1.3%
35.81521292 1
1.3%
35.82073029 1
1.3%
35.8217355 1
1.3%
35.82282281 1
1.3%
35.8228859 2
2.5%
ValueCountFrequency (%)
35.86208192 1
1.3%
35.861078 1
1.3%
35.8594593 1
1.3%
35.85855637 1
1.3%
35.85853296 1
1.3%
35.85715804 1
1.3%
35.85688868 1
1.3%
35.85622422 1
1.3%
35.85587188 1
1.3%
35.85515873 1
1.3%

경도
Real number (ℝ)

Distinct74
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.52026
Minimum128.47524
Maximum128.57254
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size843.0 B
2023-12-12T23:44:18.225979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.47524
5-th percentile128.48428
Q1128.49578
median128.5235
Q3128.54407
95-th percentile128.55449
Maximum128.57254
Range0.0972978
Interquartile range (IQR)0.04828955

Descriptive statistics

Standard deviation0.025241842
Coefficient of variation (CV)0.00019640361
Kurtosis-1.213237
Mean128.52026
Median Absolute Deviation (MAD)0.0242662
Skewness-0.0082929398
Sum10153.1
Variance0.00063715059
MonotonicityNot monotonic
2023-12-12T23:44:18.403536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.4909032 4
 
5.1%
128.5197516 2
 
2.5%
128.5262642 2
 
2.5%
128.5725372 1
 
1.3%
128.5514748 1
 
1.3%
128.4777256 1
 
1.3%
128.4967198 1
 
1.3%
128.5521725 1
 
1.3%
128.5200662 1
 
1.3%
128.524808 1
 
1.3%
Other values (64) 64
81.0%
ValueCountFrequency (%)
128.4752394 1
1.3%
128.4777256 1
1.3%
128.4777623 1
1.3%
128.4814895 1
1.3%
128.4845866 1
1.3%
128.4863475 1
1.3%
128.4885219 1
1.3%
128.4894838 1
1.3%
128.489549 1
1.3%
128.489811 1
1.3%
ValueCountFrequency (%)
128.5725372 1
1.3%
128.5624018 1
1.3%
128.5572323 1
1.3%
128.5562662 1
1.3%
128.5542894 1
1.3%
128.553497 1
1.3%
128.5532815 1
1.3%
128.5532255 1
1.3%
128.5521725 1
1.3%
128.5517733 1
1.3%

업체명
Text

Distinct78
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size764.0 B
2023-12-12T23:44:18.689087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length6.1012658
Min length2

Characters and Unicode

Total characters482
Distinct characters180
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)97.5%

Sample

1st row체어타임치과기공소
2nd row주식회사홍당무
3rd row(주)청림종합건설
4th row앤에스엠
5th row유가네대구월성점
ValueCountFrequency (%)
주식회사 4
 
4.3%
시엔지텍 2
 
2.2%
서한서적문구 1
 
1.1%
엑세스워터 1
 
1.1%
후니즈 1
 
1.1%
블루시스템 1
 
1.1%
주)곰두리종합관리 1
 
1.1%
성원파워텍 1
 
1.1%
그린 1
 
1.1%
명인스프링 1
 
1.1%
Other values (78) 78
84.8%
2023-12-12T23:44:19.119074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 20
 
4.1%
스 19
 
3.9%
( 15
 
3.1%
) 15
 
3.1%
13
 
2.7%
사 12
 
2.5%
한 11
 
2.3%
대 10
 
2.1%
이 9
 
1.9%
인 8
 
1.7%
Other values (170) 350
72.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 435
90.2%
Open Punctuation 15
 
3.1%
Close Punctuation 15
 
3.1%
Space Separator 13
 
2.7%
Uppercase Letter 3
 
0.6%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 20
 
4.6%
스 19
 
4.4%
사 12
 
2.8%
한 11
 
2.5%
대 10
 
2.3%
이 9
 
2.1%
인 8
 
1.8%
구 8
 
1.8%
시 8
 
1.8%
업 7
 
1.6%
Other values (163) 323
74.3%
Uppercase Letter
ValueCountFrequency (%)
Y 1
33.3%
S 1
33.3%
D 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 435
90.2%
Common 44
 
9.1%
Latin 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 20
 
4.6%
스 19
 
4.4%
사 12
 
2.8%
한 11
 
2.5%
대 10
 
2.3%
이 9
 
2.1%
인 8
 
1.8%
구 8
 
1.8%
시 8
 
1.8%
업 7
 
1.6%
Other values (163) 323
74.3%
Common
ValueCountFrequency (%)
( 15
34.1%
) 15
34.1%
13
29.5%
3 1
 
2.3%
Latin
ValueCountFrequency (%)
Y 1
33.3%
S 1
33.3%
D 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 435
90.2%
ASCII 47
 
9.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 20
 
4.6%
스 19
 
4.4%
사 12
 
2.8%
한 11
 
2.5%
대 10
 
2.3%
이 9
 
2.1%
인 8
 
1.8%
구 8
 
1.8%
시 8
 
1.8%
업 7
 
1.6%
Other values (163) 323
74.3%
ASCII
ValueCountFrequency (%)
( 15
31.9%
) 15
31.9%
13
27.7%
Y 1
 
2.1%
S 1
 
2.1%
D 1
 
2.1%
3 1
 
2.1%

전화번호
Text

Distinct70
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size764.0 B
2023-12-12T23:44:19.386765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.924051
Min length9

Characters and Unicode

Total characters942
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

Unique67 ?
Unique (%)84.8%

Sample

1st row053-629-2804
2nd row053-624-1559
3rd row053-582-7898
4th row053-584-9212
5th row053-633-9239
ValueCountFrequency (%)
000-000-0000 8
 
10.1%
053-581-2760 2
 
2.5%
053-591-8588 2
 
2.5%
053-583-1779 1
 
1.3%
053-592-0331 1
 
1.3%
053-767-4534 1
 
1.3%
053-636-9359 1
 
1.3%
053-591-0963 1
 
1.3%
053-654-1529 1
 
1.3%
053-585-7101 1
 
1.3%
Other values (60) 60
75.9%
2023-12-12T23:44:19.826704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 192
20.4%
- 155
16.5%
5 153
16.2%
3 105
11.1%
2 60
 
6.4%
1 53
 
5.6%
6 49
 
5.2%
8 46
 
4.9%
7 46
 
4.9%
9 44
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 787
83.5%
Dash Punctuation 155
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 192
24.4%
5 153
19.4%
3 105
13.3%
2 60
 
7.6%
1 53
 
6.7%
6 49
 
6.2%
8 46
 
5.8%
7 46
 
5.8%
9 44
 
5.6%
4 39
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 155
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 942
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 192
20.4%
- 155
16.5%
5 153
16.2%
3 105
11.1%
2 60
 
6.4%
1 53
 
5.6%
6 49
 
5.2%
8 46
 
4.9%
7 46
 
4.9%
9 44
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 942
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 192
20.4%
- 155
16.5%
5 153
16.2%
3 105
11.1%
2 60
 
6.4%
1 53
 
5.6%
6 49
 
5.2%
8 46
 
4.9%
7 46
 
4.9%
9 44
 
4.7%

팩스번호
Text

Distinct69
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Memory size764.0 B
2023-12-12T23:44:20.150208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.050633
Min length12

Characters and Unicode

Total characters952
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

Unique65 ?
Unique (%)82.3%

Sample

1st row053-629-2803
2nd row053-289-1559
3rd row053-582-7897
4th row053-584-9213
5th row000-000-0000
ValueCountFrequency (%)
000-000-0000 6
 
7.6%
053-710-7351 3
 
3.8%
053-600-8071 3
 
3.8%
053-581-2764 2
 
2.5%
053-523-3786 1
 
1.3%
053-523-0021 1
 
1.3%
053-592-0331 1
 
1.3%
053-581-7307 1
 
1.3%
053-524-5511 1
 
1.3%
053-584-9407 1
 
1.3%
Other values (59) 59
74.7%
2023-12-12T23:44:20.619099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 195
20.5%
- 158
16.6%
5 141
14.8%
3 118
12.4%
1 58
 
6.1%
2 58
 
6.1%
8 54
 
5.7%
7 53
 
5.6%
9 42
 
4.4%
6 39
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 794
83.4%
Dash Punctuation 158
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 195
24.6%
5 141
17.8%
3 118
14.9%
1 58
 
7.3%
2 58
 
7.3%
8 54
 
6.8%
7 53
 
6.7%
9 42
 
5.3%
6 39
 
4.9%
4 36
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 158
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 952
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 195
20.5%
- 158
16.6%
5 141
14.8%
3 118
12.4%
1 58
 
6.1%
2 58
 
6.1%
8 54
 
5.7%
7 53
 
5.6%
9 42
 
4.4%
6 39
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 952
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 195
20.5%
- 158
16.6%
5 141
14.8%
3 118
12.4%
1 58
 
6.1%
2 58
 
6.1%
8 54
 
5.7%
7 53
 
5.6%
9 42
 
4.4%
6 39
 
4.1%

주소
Text

UNIQUE 

Distinct79
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size764.0 B
2023-12-12T23:44:20.967073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length38
Mean length27.063291
Min length17

Characters and Unicode

Total characters2138
Distinct characters156
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

Unique79 ?
Unique (%)100.0%

Sample

1st row대구광역시 달서구 성당로 201, 3층
2nd row대구광역시 달서구 송현로 205창업보육센터408호
3rd row대구광역시 달서구 성서공단로15길 31, 3층(호림동) (호림동)
4th row대구광역시 달서구 성서공단북로2길 52(파호동)
5th row대구광역시 달서구 조암로 25그루타워204호
ValueCountFrequency (%)
대구광역시 79
 
19.9%
달서구 79
 
19.9%
1층 10
 
2.5%
달서대로 7
 
1.8%
달구벌대로 4
 
1.0%
3층 3
 
0.8%
성서공단로11길 3
 
0.8%
갈산동 3
 
0.8%
559이앤씨이노비즈타워 3
 
0.8%
2층 3
 
0.8%
Other values (180) 202
51.0%
2023-12-12T23:44:21.453272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
318
 
14.9%
구 165
 
7.7%
서 118
 
5.5%
1 93
 
4.3%
대 93
 
4.3%
달 91
 
4.3%
역 81
 
3.8%
시 79
 
3.7%
광 79
 
3.7%
로 77
 
3.6%
Other values (146) 944
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1307
61.1%
Decimal Number 400
 
18.7%
Space Separator 318
 
14.9%
Other Punctuation 34
 
1.6%
Open Punctuation 32
 
1.5%
Close Punctuation 32
 
1.5%
Dash Punctuation 14
 
0.7%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 165
 
12.6%
서 118
 
9.0%
대 93
 
7.1%
달 91
 
7.0%
역 81
 
6.2%
시 79
 
6.0%
광 79
 
6.0%
로 77
 
5.9%
동 39
 
3.0%
호 39
 
3.0%
Other values (129) 446
34.1%
Decimal Number
ValueCountFrequency (%)
1 93
23.2%
0 58
14.5%
2 54
13.5%
5 44
11.0%
3 41
10.2%
9 26
 
6.5%
8 23
 
5.8%
7 23
 
5.8%
4 21
 
5.2%
6 17
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 33
97.1%
/ 1
 
2.9%
Space Separator
ValueCountFrequency (%)
318
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1307
61.1%
Common 830
38.8%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 165
 
12.6%
서 118
 
9.0%
대 93
 
7.1%
달 91
 
7.0%
역 81
 
6.2%
시 79
 
6.0%
광 79
 
6.0%
로 77
 
5.9%
동 39
 
3.0%
호 39
 
3.0%
Other values (129) 446
34.1%
Common
ValueCountFrequency (%)
318
38.3%
1 93
 
11.2%
0 58
 
7.0%
2 54
 
6.5%
5 44
 
5.3%
3 41
 
4.9%
, 33
 
4.0%
( 32
 
3.9%
) 32
 
3.9%
9 26
 
3.1%
Other values (6) 99
 
11.9%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1307
61.1%
ASCII 831
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
318
38.3%
1 93
 
11.2%
0 58
 
7.0%
2 54
 
6.5%
5 44
 
5.3%
3 41
 
4.9%
, 33
 
4.0%
( 32
 
3.9%
) 32
 
3.9%
9 26
 
3.1%
Other values (7) 100
 
12.0%
Hangul
ValueCountFrequency (%)
구 165
 
12.6%
서 118
 
9.0%
대 93
 
7.1%
달 91
 
7.0%
역 81
 
6.2%
시 79
 
6.0%
광 79
 
6.0%
로 77
 
5.9%
동 39
 
3.0%
호 39
 
3.0%
Other values (129) 446
34.1%

주업종
Text

Distinct40
Distinct (%)50.6%
Missing0
Missing (%)0.0%
Memory size764.0 B
2023-12-12T23:44:21.763232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length93
Median length29
Mean length12.78481
Min length3

Characters and Unicode

Total characters1010
Distinct characters115
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)36.7%

Sample

1st row제조업
2nd row도매 및 소매업
3rd row건설업
4th row제조업
5th row숙박 및 음식점업
ValueCountFrequency (%)
및 55
19.1%
제조업 28
 
9.7%
소매업 15
 
5.2%
도매 14
 
4.9%
서비스업 13
 
4.5%
기록매체 7
 
2.4%
인쇄 6
 
2.1%
기타 6
 
2.1%
건설업 5
 
1.7%
복제업 5
 
1.7%
Other values (77) 134
46.5%
2023-12-12T23:44:22.272015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
209
20.7%
업 108
 
10.7%
제 59
 
5.8%
및 55
 
5.4%
매 44
 
4.4%
조 36
 
3.6%
기 27
 
2.7%
| 21
 
2.1%
스 21
 
2.1%
비 20
 
2.0%
Other values (105) 410
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 773
76.5%
Space Separator 209
 
20.7%
Math Symbol 21
 
2.1%
Other Punctuation 3
 
0.3%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 108
 
14.0%
제 59
 
7.6%
및 55
 
7.1%
매 44
 
5.7%
조 36
 
4.7%
기 27
 
3.5%
스 21
 
2.7%
비 20
 
2.6%
도 18
 
2.3%
소 18
 
2.3%
Other values (100) 367
47.5%
Space Separator
ValueCountFrequency (%)
209
100.0%
Math Symbol
ValueCountFrequency (%)
| 21
100.0%
Other Punctuation
ValueCountFrequency (%)
; 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 771
76.3%
Common 237
 
23.5%
Han 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 108
 
14.0%
제 59
 
7.7%
및 55
 
7.1%
매 44
 
5.7%
조 36
 
4.7%
기 27
 
3.5%
스 21
 
2.7%
비 20
 
2.6%
도 18
 
2.3%
소 18
 
2.3%
Other values (98) 365
47.3%
Common
ValueCountFrequency (%)
209
88.2%
| 21
 
8.9%
; 3
 
1.3%
( 2
 
0.8%
) 2
 
0.8%
Han
ValueCountFrequency (%)
理 1
50.0%
修 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 770
76.2%
ASCII 237
 
23.5%
CJK 2
 
0.2%
Compat Jamo 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
209
88.2%
| 21
 
8.9%
; 3
 
1.3%
( 2
 
0.8%
) 2
 
0.8%
Hangul
ValueCountFrequency (%)
업 108
 
14.0%
제 59
 
7.7%
및 55
 
7.1%
매 44
 
5.7%
조 36
 
4.7%
기 27
 
3.5%
스 21
 
2.7%
비 20
 
2.6%
도 18
 
2.3%
소 18
 
2.3%
Other values (97) 364
47.3%
CJK
ValueCountFrequency (%)
理 1
50.0%
修 1
50.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

관리부서
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size764.0 B
경제지원과
79 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경제지원과 79
100.0%

Length

2023-12-12T23:44:22.415081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:44:22.526577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경제지원과 79
100.0%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size764.0 B
2023-04-26
79 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-04-26
2nd row2023-04-26
3rd row2023-04-26
4th row2023-04-26
5th row2023-04-26

Common Values

ValueCountFrequency (%)
2023-04-26 79
100.0%

Length

2023-12-12T23:44:22.636061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:44:22.759427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-04-26 79
100.0%

Interactions

2023-12-12T23:44:17.005800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:44:16.797685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:44:17.113020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:44:16.906072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:44:22.859991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도업체명전화번호팩스번호주소주업종
위도1.0000.4091.0000.9210.9071.0000.000
경도0.4091.0001.0000.9480.9451.0000.000
업체명1.0001.0001.0001.0001.0001.0000.997
전화번호0.9210.9481.0001.0000.9981.0000.995
팩스번호0.9070.9451.0000.9981.0001.0000.985
주소1.0001.0001.0001.0001.0001.0001.000
주업종0.0000.0000.9970.9950.9851.0001.000
2023-12-12T23:44:22.998109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.000-0.374
경도-0.3741.000

Missing values

2023-12-12T23:44:17.568177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:44:17.717193image/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

위도경도업체명전화번호팩스번호주소주업종관리부서기준일자
035.850741128.572537체어타임치과기공소053-629-2804053-629-2803대구광역시 달서구 성당로 201, 3층제조업경제지원과2023-04-26
135.834081128.544325주식회사홍당무053-624-1559053-289-1559대구광역시 달서구 송현로 205창업보육센터408호도매 및 소매업경제지원과2023-04-26
235.837947128.490145(주)청림종합건설053-582-7898053-582-7897대구광역시 달서구 성서공단로15길 31, 3층(호림동) (호림동)건설업경제지원과2023-04-26
335.840522128.475239앤에스엠053-584-9212053-584-9213대구광역시 달서구 성서공단북로2길 52(파호동)제조업경제지원과2023-04-26
435.824828128.527406유가네대구월성점053-633-9239000-000-0000대구광역시 달서구 조암로 25그루타워204호숙박 및 음식점업경제지원과2023-04-26
535.841435128.513856보라원색053-422-5306053-421-3318대구광역시 달서구 성서동로45길 18(장동)인쇄 및 기록매체 복제업경제지원과2023-04-26
635.808215128.537797산초유통053-632-6766053-289-0108대구광역시 달서구 한실로 117, 313동1005호도매 및 소매업경제지원과2023-04-26
735.837774128.524691화진자동차상사053-592-3800053-592-3801대구광역시 달서구 성서공단로 383, 2층도매 및 소매업경제지원과2023-04-26
835.822886128.526264에너스053-591-8588053-710-7351대구광역시 달서구 상원로 179-9, 3층302호 (월성동)도매 및 소매업경제지원과2023-04-26
935.833221128.510239주식회사 케이와이053-256-8686053-586-3143대구광역시 달서구 성서공단로50길 21, (월암동)그 밖의 기계 및 장비 제조업경제지원과2023-04-26
위도경도업체명전화번호팩스번호주소주업종관리부서기준일자
6935.823143128.553225시디즈 달서점053-571-8006053-571-8009대구광역시 달서구 앞산순환로 215, 1층도매 및 소매업경제지원과2023-04-26
7035.850874128.519752시엔지텍053-581-2760053-581-2764대구광역시 달서구 달구벌대로 1391세명빌딩 302호 (용산동)전문 과학 및 기술 서비스업경제지원과2023-04-26
7135.843904128.524444(주)삼인시스템053-242-4460053-289-0010대구광역시 달서구 문화회관길 165대구출판산업지원센터 405호도매 및 소매업|출판 영상 방송통신 및 정보서비스업경제지원과2023-04-26
7235.857158128.495844아시아광고사053-586-1874000-000-0000대구광역시 달서구 서당로 60-1(1층)제조업경제지원과2023-04-26
7335.853806128.504237한국장애인복지회053-588-3012053-592-9004대구광역시 달서구 이곡서로 25쇼핑월드 청우주차빌딩 123호건설업경제지원과2023-04-26
7435.849526128.490903대구금정소방방재(주)053-600-8977053-600-8979대구광역시 달서구 달서대로 559이앤씨이노비즈타워 비105호건설업경제지원과2023-04-26
7535.84348128.48149무한정밀053-583-1779053-583-1780대구광역시 달서구 성서공단북로18길 10무한정밀금속 가공제품 제조업; 기계 및 가구 제외경제지원과2023-04-26
7635.835776128.489811성림푸드053-591-1776053-593-1776대구광역시 달서구 성서공단로11길 6-15(호림동)제조업경제지원과2023-04-26
7735.846812128.50644(주)인성정보 남부지사053-767-4534053-767-4536대구광역시 달서구 성서로 329동원비즈플랫폼 907호 (갈산동)컴퓨터 프로그래밍 시스템 통합 및 관리업경제지원과2023-04-26
7835.856889128.525216대구이사무버스053-524-2400053-557-2104대구광역시 달서구 장산2길 53운수 및 창고업경제지원과2023-04-26