Overview

Dataset statistics

Number of variables5
Number of observations264
Missing cells14
Missing cells (%)1.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.7 KiB
Average record size in memory41.5 B

Variable types

Numeric1
Text4

Dataset

Description대구광역시_동구_공장등록 정보_20230411
Author대구광역시 동구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3075346&dataSetDetailId=3075346198932ccf8ec2&provdMethod=FILE

Alerts

전화번호 has 14 (5.3%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2024-04-21 02:08:50.953162
Analysis finished2024-04-21 02:08:52.102538
Duration1.15 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct264
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean132.5
Minimum1
Maximum264
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-21T11:08:52.234351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.15
Q166.75
median132.5
Q3198.25
95-th percentile250.85
Maximum264
Range263
Interquartile range (IQR)131.5

Descriptive statistics

Standard deviation76.354437
Coefficient of variation (CV)0.5762599
Kurtosis-1.2
Mean132.5
Median Absolute Deviation (MAD)66
Skewness0
Sum34980
Variance5830
MonotonicityStrictly increasing
2024-04-21T11:08:52.490114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
183 1
 
0.4%
169 1
 
0.4%
170 1
 
0.4%
171 1
 
0.4%
172 1
 
0.4%
173 1
 
0.4%
174 1
 
0.4%
175 1
 
0.4%
176 1
 
0.4%
Other values (254) 254
96.2%
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 (%)
264 1
0.4%
263 1
0.4%
262 1
0.4%
261 1
0.4%
260 1
0.4%
259 1
0.4%
258 1
0.4%
257 1
0.4%
256 1
0.4%
255 1
0.4%

회사명
Text

Distinct262
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-04-21T11:08:53.399658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length6.9621212
Min length2

Characters and Unicode

Total characters1838
Distinct characters290
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

Unique260 ?
Unique (%)98.5%

Sample

1st row(사)한국척수장애인협회디지털사업단
2nd row(주)E.O.S
3rd row(주)경북 캐터링
4th row(주)경오전자
5th row(주)고려과학
ValueCountFrequency (%)
주식회사 16
 
5.3%
농업회사법인 3
 
1.0%
주)에이치엠지 2
 
0.7%
주)보광아이엔티 2
 
0.7%
주)디케이 2
 
0.7%
대구공장 2
 
0.7%
주)유니월드 2
 
0.7%
성신사 1
 
0.3%
수도엔지니어링(주 1
 
0.3%
영대산업 1
 
0.3%
Other values (269) 269
89.4%
2024-04-21T11:08:54.565905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 143
 
7.8%
( 126
 
6.9%
) 126
 
6.9%
이 43
 
2.3%
사 39
 
2.1%
39
 
2.1%
업 37
 
2.0%
대 36
 
2.0%
스 35
 
1.9%
산 35
 
1.9%
Other values (280) 1179
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1486
80.8%
Open Punctuation 126
 
6.9%
Close Punctuation 126
 
6.9%
Uppercase Letter 49
 
2.7%
Space Separator 39
 
2.1%
Other Punctuation 8
 
0.4%
Decimal Number 2
 
0.1%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 143
 
9.6%
이 43
 
2.9%
사 39
 
2.6%
업 37
 
2.5%
대 36
 
2.4%
스 35
 
2.4%
산 35
 
2.4%
공 29
 
2.0%
에 28
 
1.9%
한 25
 
1.7%
Other values (255) 1036
69.7%
Uppercase Letter
ValueCountFrequency (%)
N 8
16.3%
E 7
14.3%
I 4
8.2%
G 4
8.2%
T 4
8.2%
O 3
 
6.1%
D 3
 
6.1%
A 3
 
6.1%
R 2
 
4.1%
P 2
 
4.1%
Other values (6) 9
18.4%
Other Punctuation
ValueCountFrequency (%)
. 7
87.5%
& 1
 
12.5%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Lowercase Letter
ValueCountFrequency (%)
w 1
50.0%
s 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 126
100.0%
Close Punctuation
ValueCountFrequency (%)
) 126
100.0%
Space Separator
ValueCountFrequency (%)
39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1486
80.8%
Common 301
 
16.4%
Latin 51
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 143
 
9.6%
이 43
 
2.9%
사 39
 
2.6%
업 37
 
2.5%
대 36
 
2.4%
스 35
 
2.4%
산 35
 
2.4%
공 29
 
2.0%
에 28
 
1.9%
한 25
 
1.7%
Other values (255) 1036
69.7%
Latin
ValueCountFrequency (%)
N 8
15.7%
E 7
13.7%
I 4
 
7.8%
G 4
 
7.8%
T 4
 
7.8%
O 3
 
5.9%
D 3
 
5.9%
A 3
 
5.9%
R 2
 
3.9%
P 2
 
3.9%
Other values (8) 11
21.6%
Common
ValueCountFrequency (%)
( 126
41.9%
) 126
41.9%
39
 
13.0%
. 7
 
2.3%
2 1
 
0.3%
1 1
 
0.3%
& 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1486
80.8%
ASCII 352
 
19.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 143
 
9.6%
이 43
 
2.9%
사 39
 
2.6%
업 37
 
2.5%
대 36
 
2.4%
스 35
 
2.4%
산 35
 
2.4%
공 29
 
2.0%
에 28
 
1.9%
한 25
 
1.7%
Other values (255) 1036
69.7%
ASCII
ValueCountFrequency (%)
( 126
35.8%
) 126
35.8%
39
 
11.1%
N 8
 
2.3%
. 7
 
2.0%
E 7
 
2.0%
I 4
 
1.1%
G 4
 
1.1%
T 4
 
1.1%
O 3
 
0.9%
Other values (15) 24
 
6.8%

공장대표도로명주소
Text

Distinct259
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-04-21T11:08:55.619738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length40
Mean length25.662879
Min length15

Characters and Unicode

Total characters6775
Distinct characters148
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

Unique254 ?
Unique (%)96.2%

Sample

1st row대구광역시 동구 첨단로 30, 113호, 114호 (신서동)
2nd row대구광역시 동구 안심로53길 58 (동호동) (총 2 필지) 외 1필지
3rd row대구광역시 동구 반야월북로2길 10 (율암동)
4th row대구광역시 동구 안심로73길 5 (신서동)
5th row대구광역시 동구 동촌로45길 42 (방촌동)
ValueCountFrequency (%)
대구광역시 264
 
18.8%
동구 264
 
18.8%
동호동 31
 
2.2%
신평동 24
 
1.7%
신서동 19
 
1.4%
율암동 17
 
1.2%
방촌동 17
 
1.2%
불로동 16
 
1.1%
각산동 16
 
1.1%
용계동 16
 
1.1%
Other values (379) 718
51.2%
2024-04-21T11:08:56.931088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1138
16.8%
동 597
 
8.8%
구 532
 
7.9%
로 275
 
4.1%
대 274
 
4.0%
( 266
 
3.9%
시 266
 
3.9%
) 266
 
3.9%
역 265
 
3.9%
광 264
 
3.9%
Other values (138) 2632
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3858
56.9%
Space Separator 1138
 
16.8%
Decimal Number 1093
 
16.1%
Open Punctuation 266
 
3.9%
Close Punctuation 266
 
3.9%
Dash Punctuation 81
 
1.2%
Other Punctuation 69
 
1.0%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 597
15.5%
구 532
13.8%
로 275
 
7.1%
대 274
 
7.1%
시 266
 
6.9%
역 265
 
6.9%
광 264
 
6.8%
길 165
 
4.3%
신 109
 
2.8%
안 51
 
1.3%
Other values (121) 1060
27.5%
Decimal Number
ValueCountFrequency (%)
1 254
23.2%
2 170
15.6%
3 121
11.1%
5 116
10.6%
6 87
 
8.0%
4 87
 
8.0%
0 85
 
7.8%
9 67
 
6.1%
7 62
 
5.7%
8 44
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
A 3
75.0%
B 1
 
25.0%
Space Separator
ValueCountFrequency (%)
1138
100.0%
Open Punctuation
ValueCountFrequency (%)
( 266
100.0%
Close Punctuation
ValueCountFrequency (%)
) 266
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%
Other Punctuation
ValueCountFrequency (%)
, 69
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3858
56.9%
Common 2913
43.0%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 597
15.5%
구 532
13.8%
로 275
 
7.1%
대 274
 
7.1%
시 266
 
6.9%
역 265
 
6.9%
광 264
 
6.8%
길 165
 
4.3%
신 109
 
2.8%
안 51
 
1.3%
Other values (121) 1060
27.5%
Common
ValueCountFrequency (%)
1138
39.1%
( 266
 
9.1%
) 266
 
9.1%
1 254
 
8.7%
2 170
 
5.8%
3 121
 
4.2%
5 116
 
4.0%
6 87
 
3.0%
4 87
 
3.0%
0 85
 
2.9%
Other values (5) 323
 
11.1%
Latin
ValueCountFrequency (%)
A 3
75.0%
B 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3858
56.9%
ASCII 2917
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1138
39.0%
( 266
 
9.1%
) 266
 
9.1%
1 254
 
8.7%
2 170
 
5.8%
3 121
 
4.1%
5 116
 
4.0%
6 87
 
3.0%
4 87
 
3.0%
0 85
 
2.9%
Other values (7) 327
 
11.2%
Hangul
ValueCountFrequency (%)
동 597
15.5%
구 532
13.8%
로 275
 
7.1%
대 274
 
7.1%
시 266
 
6.9%
역 265
 
6.9%
광 264
 
6.8%
길 165
 
4.3%
신 109
 
2.8%
안 51
 
1.3%
Other values (121) 1060
27.5%

전화번호
Text

MISSING 

Distinct243
Distinct (%)97.2%
Missing14
Missing (%)5.3%
Memory size2.2 KiB
2024-04-21T11:08:57.722314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.012
Min length9

Characters and Unicode

Total characters3003
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

Unique237 ?
Unique (%)94.8%

Sample

1st row053-965-7277
2nd row053-962-7842
3rd row053-963-0006
4th row053-963-0751
5th row053-985-4131
ValueCountFrequency (%)
053-985-3881 3
 
1.2%
053-354-3311 2
 
0.8%
053-963-2233 2
 
0.8%
053-964-6600 2
 
0.8%
053-551-9901 2
 
0.8%
053-964-0475 2
 
0.8%
053-355-3165 1
 
0.4%
053-959-8279 1
 
0.4%
053-986-1031 1
 
0.4%
053-961-0666 1
 
0.4%
Other values (233) 233
93.2%
2024-04-21T11:08:58.755651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 499
16.6%
5 432
14.4%
0 416
13.9%
3 405
13.5%
9 252
8.4%
6 205
6.8%
8 190
 
6.3%
1 172
 
5.7%
2 159
 
5.3%
4 152
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2504
83.4%
Dash Punctuation 499
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 432
17.3%
0 416
16.6%
3 405
16.2%
9 252
10.1%
6 205
8.2%
8 190
7.6%
1 172
 
6.9%
2 159
 
6.3%
4 152
 
6.1%
7 121
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 499
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3003
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 499
16.6%
5 432
14.4%
0 416
13.9%
3 405
13.5%
9 252
8.4%
6 205
6.8%
8 190
 
6.3%
1 172
 
5.7%
2 159
 
5.3%
4 152
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3003
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 499
16.6%
5 432
14.4%
0 416
13.9%
3 405
13.5%
9 252
8.4%
6 205
6.8%
8 190
 
6.3%
1 172
 
5.7%
2 159
 
5.3%
4 152
 
5.1%

생산품
Text

Distinct240
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-04-21T11:08:59.629916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length18
Mean length7.5568182
Min length1

Characters and Unicode

Total characters1995
Distinct characters364
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

Unique223 ?
Unique (%)84.5%

Sample

1st row인쇄물
2nd row콘텍트렌즈
3rd row도시락
4th rowDMB ANT
5th row염색실험기기
ValueCountFrequency (%)
및 10
 
2.5%
창호 10
 
2.5%
외 8
 
2.0%
인쇄물 6
 
1.5%
광고물 5
 
1.2%
영상감시장치 4
 
1.0%
배전반 4
 
1.0%
플라스틱 3
 
0.7%
cctv 3
 
0.7%
등 3
 
0.7%
Other values (314) 347
86.1%
2024-04-21T11:09:00.760065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
140
 
7.0%
, 99
 
5.0%
기 60
 
3.0%
스 39
 
2.0%
장 37
 
1.9%
제 35
 
1.8%
품 34
 
1.7%
용 33
 
1.7%
창 26
 
1.3%
호 24
 
1.2%
Other values (354) 1468
73.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1655
83.0%
Space Separator 140
 
7.0%
Other Punctuation 99
 
5.0%
Uppercase Letter 57
 
2.9%
Close Punctuation 15
 
0.8%
Open Punctuation 15
 
0.8%
Lowercase Letter 11
 
0.6%
Dash Punctuation 2
 
0.1%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 60
 
3.6%
스 39
 
2.4%
장 37
 
2.2%
제 35
 
2.1%
품 34
 
2.1%
용 33
 
2.0%
창 26
 
1.6%
호 24
 
1.5%
가 24
 
1.5%
자 24
 
1.5%
Other values (326) 1319
79.7%
Uppercase Letter
ValueCountFrequency (%)
C 15
26.3%
T 8
14.0%
V 7
12.3%
E 4
 
7.0%
D 4
 
7.0%
A 3
 
5.3%
L 3
 
5.3%
H 2
 
3.5%
P 2
 
3.5%
G 2
 
3.5%
Other values (6) 7
12.3%
Lowercase Letter
ValueCountFrequency (%)
c 3
27.3%
p 2
18.2%
v 2
18.2%
u 2
18.2%
s 1
 
9.1%
t 1
 
9.1%
Space Separator
ValueCountFrequency (%)
140
100.0%
Other Punctuation
ValueCountFrequency (%)
, 99
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1655
83.0%
Common 272
 
13.6%
Latin 68
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 60
 
3.6%
스 39
 
2.4%
장 37
 
2.2%
제 35
 
2.1%
품 34
 
2.1%
용 33
 
2.0%
창 26
 
1.6%
호 24
 
1.5%
가 24
 
1.5%
자 24
 
1.5%
Other values (326) 1319
79.7%
Latin
ValueCountFrequency (%)
C 15
22.1%
T 8
11.8%
V 7
10.3%
E 4
 
5.9%
D 4
 
5.9%
c 3
 
4.4%
A 3
 
4.4%
L 3
 
4.4%
H 2
 
2.9%
P 2
 
2.9%
Other values (12) 17
25.0%
Common
ValueCountFrequency (%)
140
51.5%
, 99
36.4%
) 15
 
5.5%
( 15
 
5.5%
- 2
 
0.7%
1 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1655
83.0%
ASCII 340
 
17.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
140
41.2%
, 99
29.1%
) 15
 
4.4%
C 15
 
4.4%
( 15
 
4.4%
T 8
 
2.4%
V 7
 
2.1%
E 4
 
1.2%
D 4
 
1.2%
c 3
 
0.9%
Other values (18) 30
 
8.8%
Hangul
ValueCountFrequency (%)
기 60
 
3.6%
스 39
 
2.4%
장 37
 
2.2%
제 35
 
2.1%
품 34
 
2.1%
용 33
 
2.0%
창 26
 
1.6%
호 24
 
1.5%
가 24
 
1.5%
자 24
 
1.5%
Other values (326) 1319
79.7%

Interactions

2024-04-21T11:08:51.591567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-04-21T11:08:51.873731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T11:08:52.038177image/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

순번회사명공장대표도로명주소전화번호생산품
01(사)한국척수장애인협회디지털사업단대구광역시 동구 첨단로 30, 113호, 114호 (신서동)053-965-7277인쇄물
12(주)E.O.S대구광역시 동구 안심로53길 58 (동호동) (총 2 필지) 외 1필지053-962-7842콘텍트렌즈
23(주)경북 캐터링대구광역시 동구 반야월북로2길 10 (율암동)053-963-0006도시락
34(주)경오전자대구광역시 동구 안심로73길 5 (신서동)053-963-0751DMB ANT
45(주)고려과학대구광역시 동구 동촌로45길 42 (방촌동)053-985-4131염색실험기기
56(주)구남공조ENG대구광역시 동구 팔공로29길 38 (불로동)053-981-4835닥트
67(주)글로벌엔지니어링대구광역시 동구 화랑로 533 (용계동)053-985-9046방산부품및반도체장비
78(주)금강금속대구광역시 동구 신덕로 120 (신평동)053-983-6269보강심
89(주)네오칸대구광역시 동구 반야월북로 62 (율암동)053-961-5757판넬(목재가공품)
910(주)뉴텍에프엠대구광역시 동구 신덕로 119-1 (신평동)053-962-4289방화용품 단열재
순번회사명공장대표도로명주소전화번호생산품
254255한샘DECO대구광역시 동구 신평동 52-13번지<NA>주방가구 및 일반가구
255256한세정보통신(주)대구광역시 동구 신평로 140 (용계동)053-985-7601영상감시장치
256257한양쇼파대구광역시 동구 안심로49길 130(동호동)053-962-6387쇼파
257258한영종합인쇄대구광역시 동구 첨단로 30, 404호 (신서동)053-962-3200인쇄물
258259한일시멘트(주)대구공장대구광역시 동구 반야월로 266 (동호동) 외 2필지053-961-0394레미콘
259260한창침장대구광역시 동구 신평로16길 57-20 (신평동)<NA>침구류 외
260261현대이엔지대구광역시 동구 안심로53길 32 (동호동)053-423-4553냉동장비
261262화성R.P산업대구광역시 동구 안심로53길 54 (동호동)053-965-2070자동차부품(고무)
262263화성봉재대구광역시 동구 송라로11길 12 (신천동)<NA>봉제품, 타올
263264효성양산대구광역시 동구 해동로 157-3 (검사동)053-983-0829우산,양산