Overview

Dataset statistics

Number of variables6
Number of observations382
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.4 KiB
Average record size in memory49.3 B

Variable types

Numeric1
Text4
DateTime1

Dataset

Description대구지역 정보통신공사업체 현황정보
Author대구광역시
URLhttps://www.data.go.kr/data/15060740/fileData.do

Alerts

순번 has unique valuesUnique
업체명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:10:24.901711
Analysis finished2023-12-12 17:10:25.543030
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct382
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean191.5
Minimum1
Maximum382
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-13T02:10:25.624956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20.05
Q196.25
median191.5
Q3286.75
95-th percentile362.95
Maximum382
Range381
Interquartile range (IQR)190.5

Descriptive statistics

Standard deviation110.41814
Coefficient of variation (CV)0.57659606
Kurtosis-1.2
Mean191.5
Median Absolute Deviation (MAD)95.5
Skewness0
Sum73153
Variance12192.167
MonotonicityStrictly increasing
2023-12-13T02:10:25.786718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
253 1
 
0.3%
262 1
 
0.3%
261 1
 
0.3%
260 1
 
0.3%
259 1
 
0.3%
258 1
 
0.3%
257 1
 
0.3%
256 1
 
0.3%
255 1
 
0.3%
Other values (372) 372
97.4%
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 (%)
382 1
0.3%
381 1
0.3%
380 1
0.3%
379 1
0.3%
378 1
0.3%
377 1
0.3%
376 1
0.3%
375 1
0.3%
374 1
0.3%
373 1
0.3%

업체명
Text

UNIQUE 

Distinct382
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-13T02:10:26.094844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length33
Mean length8.2591623
Min length4

Characters and Unicode

Total characters3155
Distinct characters262
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

Unique382 ?
Unique (%)100.0%

Sample

1st row성우아이티 주식회사
2nd row다스텍 주식회사
3rd row주식회사 아이티아이
4th row대영채비 주식회사
5th row라온정보통신
ValueCountFrequency (%)
주식회사 71
 
15.2%
co 2
 
0.4%
ltd 2
 
0.4%
대덕미디어테크 1
 
0.2%
그린컴퓨터시스템 1
 
0.2%
고려정보통신공사 1
 
0.2%
이노섹 1
 
0.2%
주)미디어테크 1
 
0.2%
휴먼테크(주 1
 
0.2%
코리아넷시스템(주 1
 
0.2%
Other values (384) 384
82.4%
2023-12-13T02:10:26.594935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 332
 
10.5%
) 265
 
8.4%
( 265
 
8.4%
신 109
 
3.5%
이 101
 
3.2%
스 96
 
3.0%
통 88
 
2.8%
84
 
2.7%
사 83
 
2.6%
회 74
 
2.3%
Other values (252) 1658
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2460
78.0%
Close Punctuation 265
 
8.4%
Open Punctuation 265
 
8.4%
Space Separator 84
 
2.7%
Lowercase Letter 37
 
1.2%
Uppercase Letter 30
 
1.0%
Other Punctuation 13
 
0.4%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 332
 
13.5%
신 109
 
4.4%
이 101
 
4.1%
스 96
 
3.9%
통 88
 
3.6%
사 83
 
3.4%
회 74
 
3.0%
식 73
 
3.0%
보 72
 
2.9%
정 72
 
2.9%
Other values (215) 1360
55.3%
Uppercase Letter
ValueCountFrequency (%)
T 5
16.7%
S 3
10.0%
L 3
10.0%
C 3
10.0%
M 2
 
6.7%
I 2
 
6.7%
P 2
 
6.7%
O 2
 
6.7%
H 1
 
3.3%
R 1
 
3.3%
Other values (6) 6
20.0%
Lowercase Letter
ValueCountFrequency (%)
o 5
13.5%
n 4
10.8%
c 4
10.8%
t 4
10.8%
i 3
8.1%
e 3
8.1%
h 3
8.1%
d 2
 
5.4%
a 2
 
5.4%
r 2
 
5.4%
Other values (5) 5
13.5%
Other Punctuation
ValueCountFrequency (%)
. 11
84.6%
, 2
 
15.4%
Close Punctuation
ValueCountFrequency (%)
) 265
100.0%
Open Punctuation
ValueCountFrequency (%)
( 265
100.0%
Space Separator
ValueCountFrequency (%)
84
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2460
78.0%
Common 628
 
19.9%
Latin 67
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 332
 
13.5%
신 109
 
4.4%
이 101
 
4.1%
스 96
 
3.9%
통 88
 
3.6%
사 83
 
3.4%
회 74
 
3.0%
식 73
 
3.0%
보 72
 
2.9%
정 72
 
2.9%
Other values (215) 1360
55.3%
Latin
ValueCountFrequency (%)
T 5
 
7.5%
o 5
 
7.5%
n 4
 
6.0%
c 4
 
6.0%
t 4
 
6.0%
i 3
 
4.5%
S 3
 
4.5%
L 3
 
4.5%
C 3
 
4.5%
e 3
 
4.5%
Other values (21) 30
44.8%
Common
ValueCountFrequency (%)
) 265
42.2%
( 265
42.2%
84
 
13.4%
. 11
 
1.8%
, 2
 
0.3%
- 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2460
78.0%
ASCII 695
 
22.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 332
 
13.5%
신 109
 
4.4%
이 101
 
4.1%
스 96
 
3.9%
통 88
 
3.6%
사 83
 
3.4%
회 74
 
3.0%
식 73
 
3.0%
보 72
 
2.9%
정 72
 
2.9%
Other values (215) 1360
55.3%
ASCII
ValueCountFrequency (%)
) 265
38.1%
( 265
38.1%
84
 
12.1%
. 11
 
1.6%
T 5
 
0.7%
o 5
 
0.7%
n 4
 
0.6%
c 4
 
0.6%
t 4
 
0.6%
i 3
 
0.4%
Other values (27) 45
 
6.5%

전화번호
Text

Distinct380
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-13T02:10:26.869279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.052356
Min length12

Characters and Unicode

Total characters4604
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

Unique378 ?
Unique (%)99.0%

Sample

1st row053-423-0202
2nd row053-383-3399
3rd row053-721-6789
4th row053-584-1511
5th row053-751-8887
ValueCountFrequency (%)
053-521-1227 2
 
0.5%
053-000-0000 2
 
0.5%
053-986-2124 1
 
0.3%
053-761-7745 1
 
0.3%
053-586-3834 1
 
0.3%
053-604-3007 1
 
0.3%
053-383-8119 1
 
0.3%
053-742-8364 1
 
0.3%
053-652-3636 1
 
0.3%
053-958-8855 1
 
0.3%
Other values (370) 370
96.9%
2023-12-13T02:10:27.320080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 807
17.5%
- 764
16.6%
5 659
14.3%
3 627
13.6%
7 292
 
6.3%
6 271
 
5.9%
4 268
 
5.8%
2 267
 
5.8%
1 242
 
5.3%
8 209
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3840
83.4%
Dash Punctuation 764
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 807
21.0%
5 659
17.2%
3 627
16.3%
7 292
 
7.6%
6 271
 
7.1%
4 268
 
7.0%
2 267
 
7.0%
1 242
 
6.3%
8 209
 
5.4%
9 198
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 764
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4604
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 807
17.5%
- 764
16.6%
5 659
14.3%
3 627
13.6%
7 292
 
6.3%
6 271
 
5.9%
4 268
 
5.8%
2 267
 
5.8%
1 242
 
5.3%
8 209
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4604
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 807
17.5%
- 764
16.6%
5 659
14.3%
3 627
13.6%
7 292
 
6.3%
6 271
 
5.9%
4 268
 
5.8%
2 267
 
5.8%
1 242
 
5.3%
8 209
 
4.5%

우편번호
Text

Distinct253
Distinct (%)66.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-13T02:10:27.736342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0104712
Min length5

Characters and Unicode

Total characters1914
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

Unique178 ?
Unique (%)46.6%

Sample

1st row41904
2nd row41502
3rd row41424
4th row43023
5th row42054
ValueCountFrequency (%)
41518 9
 
2.4%
41505 8
 
2.1%
42709 6
 
1.6%
42250 5
 
1.3%
41502 5
 
1.3%
41503 5
 
1.3%
41912 4
 
1.0%
41065 4
 
1.0%
41566 4
 
1.0%
41515 4
 
1.0%
Other values (243) 328
85.9%
2023-12-13T02:10:28.233353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 521
27.2%
1 377
19.7%
2 252
13.2%
5 162
 
8.5%
0 156
 
8.2%
7 102
 
5.3%
9 91
 
4.8%
8 88
 
4.6%
6 86
 
4.5%
3 77
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1912
99.9%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 521
27.2%
1 377
19.7%
2 252
13.2%
5 162
 
8.5%
0 156
 
8.2%
7 102
 
5.3%
9 91
 
4.8%
8 88
 
4.6%
6 86
 
4.5%
3 77
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1914
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 521
27.2%
1 377
19.7%
2 252
13.2%
5 162
 
8.5%
0 156
 
8.2%
7 102
 
5.3%
9 91
 
4.8%
8 88
 
4.6%
6 86
 
4.5%
3 77
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1914
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 521
27.2%
1 377
19.7%
2 252
13.2%
5 162
 
8.5%
0 156
 
8.2%
7 102
 
5.3%
9 91
 
4.8%
8 88
 
4.6%
6 86
 
4.5%
3 77
 
4.0%

주소
Text

Distinct377
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-13T02:10:28.518695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length42
Mean length26.793194
Min length16

Characters and Unicode

Total characters10235
Distinct characters250
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

Unique372 ?
Unique (%)97.4%

Sample

1st row대구광역시 중구 태평로51길 79, 3층 (동인동3가)
2nd row대구광역시 북구 연암로42길 42-8 (산격동)
3rd row대구광역시 북구 동암로 128-10, 4층 (구암동)
4th row대구광역시 달성군 유가읍 테크노순환로7길 25
5th row대구광역시 수성구 세진로 65, 202호 (만촌동)
ValueCountFrequency (%)
대구 271
 
12.2%
135
 
6.1%
북구 116
 
5.2%
대구광역시 111
 
5.0%
동구 70
 
3.2%
수성구 60
 
2.7%
달서구 47
 
2.1%
2층 29
 
1.3%
산격동 25
 
1.1%
중구 25
 
1.1%
Other values (803) 1329
59.9%
2023-12-13T02:10:29.211035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1836
17.9%
구 781
 
7.6%
동 540
 
5.3%
대 477
 
4.7%
1 384
 
3.8%
로 375
 
3.7%
( 361
 
3.5%
) 360
 
3.5%
, 320
 
3.1%
2 307
 
3.0%
Other values (240) 4494
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5468
53.4%
Space Separator 1836
 
17.9%
Decimal Number 1789
 
17.5%
Open Punctuation 361
 
3.5%
Close Punctuation 360
 
3.5%
Other Punctuation 322
 
3.1%
Dash Punctuation 94
 
0.9%
Uppercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 781
 
14.3%
동 540
 
9.9%
대 477
 
8.7%
로 375
 
6.9%
길 188
 
3.4%
층 136
 
2.5%
북 130
 
2.4%
시 124
 
2.3%
성 121
 
2.2%
서 116
 
2.1%
Other values (219) 2480
45.4%
Decimal Number
ValueCountFrequency (%)
1 384
21.5%
2 307
17.2%
3 213
11.9%
5 173
9.7%
0 163
9.1%
4 154
8.6%
6 110
 
6.1%
7 106
 
5.9%
8 93
 
5.2%
9 86
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
B 2
40.0%
M 1
20.0%
L 1
20.0%
J 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 320
99.4%
/ 1
 
0.3%
. 1
 
0.3%
Space Separator
ValueCountFrequency (%)
1836
100.0%
Open Punctuation
ValueCountFrequency (%)
( 361
100.0%
Close Punctuation
ValueCountFrequency (%)
) 360
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5468
53.4%
Common 4762
46.5%
Latin 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 781
 
14.3%
동 540
 
9.9%
대 477
 
8.7%
로 375
 
6.9%
길 188
 
3.4%
층 136
 
2.5%
북 130
 
2.4%
시 124
 
2.3%
성 121
 
2.2%
서 116
 
2.1%
Other values (219) 2480
45.4%
Common
ValueCountFrequency (%)
1836
38.6%
1 384
 
8.1%
( 361
 
7.6%
) 360
 
7.6%
, 320
 
6.7%
2 307
 
6.4%
3 213
 
4.5%
5 173
 
3.6%
0 163
 
3.4%
4 154
 
3.2%
Other values (7) 491
 
10.3%
Latin
ValueCountFrequency (%)
B 2
40.0%
M 1
20.0%
L 1
20.0%
J 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5468
53.4%
ASCII 4767
46.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1836
38.5%
1 384
 
8.1%
( 361
 
7.6%
) 360
 
7.6%
, 320
 
6.7%
2 307
 
6.4%
3 213
 
4.5%
5 173
 
3.6%
0 163
 
3.4%
4 154
 
3.2%
Other values (11) 496
 
10.4%
Hangul
ValueCountFrequency (%)
구 781
 
14.3%
동 540
 
9.9%
대 477
 
8.7%
로 375
 
6.9%
길 188
 
3.4%
층 136
 
2.5%
북 130
 
2.4%
시 124
 
2.3%
성 121
 
2.2%
서 116
 
2.1%
Other values (219) 2480
45.4%

등록일자
Date

Distinct351
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum1979-10-24 00:00:00
Maximum2020-05-27 00:00:00
2023-12-13T02:10:29.338727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:10:29.496072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-13T02:10:25.228470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T02:10:25.392705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:10:25.503699image/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

순번업체명전화번호우편번호주소등록일자
01성우아이티 주식회사053-423-020241904대구광역시 중구 태평로51길 79, 3층 (동인동3가)2020-05-27
12다스텍 주식회사053-383-339941502대구광역시 북구 연암로42길 42-8 (산격동)2020-05-14
23주식회사 아이티아이053-721-678941424대구광역시 북구 동암로 128-10, 4층 (구암동)2020-04-28
34대영채비 주식회사053-584-151143023대구광역시 달성군 유가읍 테크노순환로7길 252020-04-22
45라온정보통신053-751-888742054대구광역시 수성구 세진로 65, 202호 (만촌동)2020-04-10
56주식회사 케이디미디어070-7622-347341473대구광역시 북구 구암로42길 9, 1층 (구암동)2020-04-03
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