Overview

Dataset statistics

Number of variables6
Number of observations395
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.8 KiB
Average record size in memory51.3 B

Variable types

Numeric3
Text3

Dataset

Description대전광역시 한국정보통신공사협회에 소속된 회원사들의 상호명과 대표자명 및 시공평가액 등을 제공하는 파일(데이터)입니다.
URLhttps://www.data.go.kr/data/15081505/fileData.do

Alerts

순 번 has unique valuesUnique
등록번호 has unique valuesUnique
상 호 has unique valuesUnique
주 소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:19:32.291131
Analysis finished2023-12-12 01:19:34.114031
Duration1.82 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순 번
Real number (ℝ)

UNIQUE 

Distinct395
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198
Minimum1
Maximum395
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-12T10:19:34.211040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20.7
Q199.5
median198
Q3296.5
95-th percentile375.3
Maximum395
Range394
Interquartile range (IQR)197

Descriptive statistics

Standard deviation114.17092
Coefficient of variation (CV)0.57662083
Kurtosis-1.2
Mean198
Median Absolute Deviation (MAD)99
Skewness0
Sum78210
Variance13035
MonotonicityStrictly increasing
2023-12-12T10:19:34.397595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
273 1
 
0.3%
271 1
 
0.3%
270 1
 
0.3%
269 1
 
0.3%
268 1
 
0.3%
267 1
 
0.3%
266 1
 
0.3%
265 1
 
0.3%
264 1
 
0.3%
Other values (385) 385
97.5%
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 (%)
395 1
0.3%
394 1
0.3%
393 1
0.3%
392 1
0.3%
391 1
0.3%
390 1
0.3%
389 1
0.3%
388 1
0.3%
387 1
0.3%
386 1
0.3%

등록번호
Real number (ℝ)

UNIQUE 

Distinct395
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean353810.02
Minimum110827
Maximum630297
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-12T10:19:34.602596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110827
5-th percentile130075.6
Q1335193
median420212
Q3420373.5
95-th percentile420476.3
Maximum630297
Range519470
Interquartile range (IQR)85180.5

Descriptive statistics

Standard deviation128587.93
Coefficient of variation (CV)0.36343779
Kurtosis-0.45993121
Mean353810.02
Median Absolute Deviation (MAD)189
Skewness-1.0001258
Sum1.3975496 × 108
Variance1.6534856 × 1010
MonotonicityNot monotonic
2023-12-12T10:19:34.811291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
420275 1
 
0.3%
420311 1
 
0.3%
420219 1
 
0.3%
420375 1
 
0.3%
130310 1
 
0.3%
420466 1
 
0.3%
420027 1
 
0.3%
112791 1
 
0.3%
130332 1
 
0.3%
130175 1
 
0.3%
Other values (385) 385
97.5%
ValueCountFrequency (%)
110827 1
0.3%
111620 1
0.3%
111732 1
0.3%
111982 1
0.3%
112791 1
0.3%
112997 1
0.3%
113087 1
0.3%
120184 1
0.3%
120445 1
0.3%
120450 1
0.3%
ValueCountFrequency (%)
630297 1
0.3%
630186 1
0.3%
620220 1
0.3%
620122 1
0.3%
610094 1
0.3%
550105 1
0.3%
530143 1
0.3%
530036 1
0.3%
510098 1
0.3%
510030 1
0.3%

상 호
Text

UNIQUE 

Distinct395
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-12T10:19:35.107124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length20
Mean length9.1113924
Min length4

Characters and Unicode

Total characters3599
Distinct characters283
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique395 ?
Unique (%)100.0%

Sample

1st row주식회사 제이엔디
2nd row(주)대영에스텍
3rd row대하테크원 주식회사
4th row(주)한국가스기술공사
5th row(주)유엠로직스
ValueCountFrequency (%)
주식회사 182
30.7%
주)제이앤씨시스템 1
 
0.2%
주)티앤테크 1
 
0.2%
채움정보통신 1
 
0.2%
씨엠비 1
 
0.2%
이안세이프 1
 
0.2%
주)대원정보기술 1
 
0.2%
피에스정보 1
 
0.2%
우성넷콤 1
 
0.2%
계룡아이씨티 1
 
0.2%
Other values (402) 402
67.8%
2023-12-12T10:19:35.582315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 375
 
10.4%
( 200
 
5.6%
) 200
 
5.6%
199
 
5.5%
사 195
 
5.4%
회 185
 
5.1%
식 183
 
5.1%
이 124
 
3.4%
스 103
 
2.9%
신 87
 
2.4%
Other values (273) 1748
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2924
81.2%
Open Punctuation 200
 
5.6%
Close Punctuation 200
 
5.6%
Space Separator 199
 
5.5%
Uppercase Letter 37
 
1.0%
Lowercase Letter 34
 
0.9%
Other Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 375
 
12.8%
사 195
 
6.7%
회 185
 
6.3%
식 183
 
6.3%
이 124
 
4.2%
스 103
 
3.5%
신 87
 
3.0%
보 76
 
2.6%
통 75
 
2.6%
정 75
 
2.6%
Other values (235) 1446
49.5%
Lowercase Letter
ValueCountFrequency (%)
o 4
11.8%
a 4
11.8%
t 3
8.8%
e 3
8.8%
b 3
8.8%
i 2
 
5.9%
s 2
 
5.9%
m 2
 
5.9%
n 2
 
5.9%
r 2
 
5.9%
Other values (7) 7
20.6%
Uppercase Letter
ValueCountFrequency (%)
S 5
13.5%
N 5
13.5%
U 4
10.8%
D 3
8.1%
O 3
8.1%
C 3
8.1%
G 2
 
5.4%
T 2
 
5.4%
A 2
 
5.4%
K 2
 
5.4%
Other values (6) 6
16.2%
Other Punctuation
ValueCountFrequency (%)
. 4
80.0%
, 1
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 200
100.0%
Close Punctuation
ValueCountFrequency (%)
) 200
100.0%
Space Separator
ValueCountFrequency (%)
199
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2924
81.2%
Common 604
 
16.8%
Latin 71
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 375
 
12.8%
사 195
 
6.7%
회 185
 
6.3%
식 183
 
6.3%
이 124
 
4.2%
스 103
 
3.5%
신 87
 
3.0%
보 76
 
2.6%
통 75
 
2.6%
정 75
 
2.6%
Other values (235) 1446
49.5%
Latin
ValueCountFrequency (%)
S 5
 
7.0%
N 5
 
7.0%
o 4
 
5.6%
U 4
 
5.6%
a 4
 
5.6%
t 3
 
4.2%
e 3
 
4.2%
b 3
 
4.2%
D 3
 
4.2%
O 3
 
4.2%
Other values (23) 34
47.9%
Common
ValueCountFrequency (%)
( 200
33.1%
) 200
33.1%
199
32.9%
. 4
 
0.7%
, 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2924
81.2%
ASCII 675
 
18.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 375
 
12.8%
사 195
 
6.7%
회 185
 
6.3%
식 183
 
6.3%
이 124
 
4.2%
스 103
 
3.5%
신 87
 
3.0%
보 76
 
2.6%
통 75
 
2.6%
정 75
 
2.6%
Other values (235) 1446
49.5%
ASCII
ValueCountFrequency (%)
( 200
29.6%
) 200
29.6%
199
29.5%
S 5
 
0.7%
N 5
 
0.7%
o 4
 
0.6%
U 4
 
0.6%
a 4
 
0.6%
. 4
 
0.6%
t 3
 
0.4%
Other values (28) 47
 
7.0%

대표자 성명
Text

Distinct388
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-12T10:19:36.005282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0101266
Min length3

Characters and Unicode

Total characters1189
Distinct characters164
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique381 ?
Unique (%)96.5%

Sample

1st row정철호
2nd row강원구
3rd row황철호
4th row조용돈
5th row권환우
ValueCountFrequency (%)
김미화 2
 
0.5%
이진수 2
 
0.5%
방성준 2
 
0.5%
박경화 2
 
0.5%
김진수 2
 
0.5%
최종수 2
 
0.5%
김영일 2
 
0.5%
김 2
 
0.5%
김정희 1
 
0.3%
정기세 1
 
0.3%
Other values (380) 380
95.5%
2023-12-12T10:19:36.610479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 83
 
7.0%
이 58
 
4.9%
박 44
 
3.7%
정 34
 
2.9%
영 30
 
2.5%
성 27
 
2.3%
수 27
 
2.3%
진 26
 
2.2%
현 24
 
2.0%
용 23
 
1.9%
Other values (154) 813
68.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1183
99.5%
Space Separator 6
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 83
 
7.0%
이 58
 
4.9%
박 44
 
3.7%
정 34
 
2.9%
영 30
 
2.5%
성 27
 
2.3%
수 27
 
2.3%
진 26
 
2.2%
현 24
 
2.0%
용 23
 
1.9%
Other values (153) 807
68.2%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1183
99.5%
Common 6
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 83
 
7.0%
이 58
 
4.9%
박 44
 
3.7%
정 34
 
2.9%
영 30
 
2.5%
성 27
 
2.3%
수 27
 
2.3%
진 26
 
2.2%
현 24
 
2.0%
용 23
 
1.9%
Other values (153) 807
68.2%
Common
ValueCountFrequency (%)
6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1183
99.5%
ASCII 6
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 83
 
7.0%
이 58
 
4.9%
박 44
 
3.7%
정 34
 
2.9%
영 30
 
2.5%
성 27
 
2.3%
수 27
 
2.3%
진 26
 
2.2%
현 24
 
2.0%
용 23
 
1.9%
Other values (153) 807
68.2%
ASCII
ValueCountFrequency (%)
6
100.0%

주 소
Text

UNIQUE 

Distinct395
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-12T10:19:37.009747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length42
Mean length27.582278
Min length14

Characters and Unicode

Total characters10895
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

Unique395 ?
Unique (%)100.0%

Sample

1st row대전 유성구 국제과학7로 36 (신동)
2nd row대전 유성구 국제과학3로 23(신동)
3rd row대전 유성구 국제과학11로 22 (둔곡동)
4th row대전 유성구 대덕대로 1227(봉산동)
5th row대전 유성구 테크노2로 17, 2층(관평동)
ValueCountFrequency (%)
대전 394
 
18.3%
유성구 169
 
7.8%
서구 89
 
4.1%
68
 
3.2%
대덕구 49
 
2.3%
동구 44
 
2.0%
중구 43
 
2.0%
테크노2로 19
 
0.9%
테크노3로 13
 
0.6%
계룡로 12
 
0.6%
Other values (877) 1257
58.3%
2023-12-12T10:19:37.608929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1957
 
18.0%
대 611
 
5.6%
동 459
 
4.2%
전 427
 
3.9%
1 416
 
3.8%
구 410
 
3.8%
로 387
 
3.6%
, 361
 
3.3%
( 352
 
3.2%
) 352
 
3.2%
Other values (240) 5163
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5691
52.2%
Decimal Number 2096
 
19.2%
Space Separator 1957
 
18.0%
Other Punctuation 365
 
3.4%
Open Punctuation 352
 
3.2%
Close Punctuation 352
 
3.2%
Dash Punctuation 76
 
0.7%
Uppercase Letter 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 611
 
10.7%
동 459
 
8.1%
전 427
 
7.5%
구 410
 
7.2%
로 387
 
6.8%
성 206
 
3.6%
유 201
 
3.5%
길 176
 
3.1%
번 168
 
3.0%
층 137
 
2.4%
Other values (219) 2509
44.1%
Decimal Number
ValueCountFrequency (%)
1 416
19.8%
2 287
13.7%
3 238
11.4%
0 226
10.8%
5 193
9.2%
7 175
8.3%
4 171
8.2%
6 151
 
7.2%
8 121
 
5.8%
9 118
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
K 2
33.3%
I 1
16.7%
A 1
16.7%
S 1
16.7%
T 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 361
98.9%
. 4
 
1.1%
Space Separator
ValueCountFrequency (%)
1957
100.0%
Open Punctuation
ValueCountFrequency (%)
( 352
100.0%
Close Punctuation
ValueCountFrequency (%)
) 352
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5691
52.2%
Common 5198
47.7%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 611
 
10.7%
동 459
 
8.1%
전 427
 
7.5%
구 410
 
7.2%
로 387
 
6.8%
성 206
 
3.6%
유 201
 
3.5%
길 176
 
3.1%
번 168
 
3.0%
층 137
 
2.4%
Other values (219) 2509
44.1%
Common
ValueCountFrequency (%)
1957
37.6%
1 416
 
8.0%
, 361
 
6.9%
( 352
 
6.8%
) 352
 
6.8%
2 287
 
5.5%
3 238
 
4.6%
0 226
 
4.3%
5 193
 
3.7%
7 175
 
3.4%
Other values (6) 641
 
12.3%
Latin
ValueCountFrequency (%)
K 2
33.3%
I 1
16.7%
A 1
16.7%
S 1
16.7%
T 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5691
52.2%
ASCII 5204
47.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1957
37.6%
1 416
 
8.0%
, 361
 
6.9%
( 352
 
6.8%
) 352
 
6.8%
2 287
 
5.5%
3 238
 
4.6%
0 226
 
4.3%
5 193
 
3.7%
7 175
 
3.4%
Other values (11) 647
 
12.4%
Hangul
ValueCountFrequency (%)
대 611
 
10.7%
동 459
 
8.1%
전 427
 
7.5%
구 410
 
7.2%
로 387
 
6.8%
성 206
 
3.6%
유 201
 
3.5%
길 176
 
3.1%
번 168
 
3.0%
층 137
 
2.4%
Other values (219) 2509
44.1%

시공능력평가액(천원)
Real number (ℝ)

Distinct390
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4098509.4
Minimum280500
Maximum46620800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-12T10:19:37.807313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum280500
5-th percentile553130
Q11461100
median2742200
Q34729350
95-th percentile11490790
Maximum46620800
Range46340300
Interquartile range (IQR)3268250

Descriptive statistics

Standard deviation4603649.5
Coefficient of variation (CV)1.1232497
Kurtosis22.704178
Mean4098509.4
Median Absolute Deviation (MAD)1540100
Skewness3.7615288
Sum1.6189112 × 109
Variance2.1193589 × 1013
MonotonicityNot monotonic
2023-12-12T10:19:38.011145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
500600 3
 
0.8%
557900 2
 
0.5%
3577300 2
 
0.5%
807200 2
 
0.5%
5834500 1
 
0.3%
982500 1
 
0.3%
3289700 1
 
0.3%
3535900 1
 
0.3%
540100 1
 
0.3%
2887100 1
 
0.3%
Other values (380) 380
96.2%
ValueCountFrequency (%)
280500 1
0.3%
360500 1
0.3%
430400 1
0.3%
455300 1
0.3%
468000 1
0.3%
472500 1
0.3%
480800 1
0.3%
489900 1
0.3%
497500 1
0.3%
499400 1
0.3%
ValueCountFrequency (%)
46620800 1
0.3%
27312200 1
0.3%
24287500 1
0.3%
23814600 1
0.3%
22625900 1
0.3%
22497300 1
0.3%
21666100 1
0.3%
19128900 1
0.3%
18046300 1
0.3%
17612200 1
0.3%

Interactions

2023-12-12T10:19:33.544431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:19:32.806861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:19:33.191825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:19:33.665790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:19:32.935629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:19:33.303759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:19:33.782340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:19:33.073625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:19:33.424920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:19:38.110981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순 번등록번호시공능력평가액(천원)
순 번1.0000.0000.164
등록번호0.0001.0000.010
시공능력평가액(천원)0.1640.0101.000
2023-12-12T10:19:38.246584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순 번등록번호시공능력평가액(천원)
순 번1.000-0.058-0.007
등록번호-0.0581.000-0.423
시공능력평가액(천원)-0.007-0.4231.000

Missing values

2023-12-12T10:19:33.931186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:19:34.065818image/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

순 번등록번호상 호대표자 성명주 소시공능력평가액(천원)
01420275주식회사 제이엔디정철호대전 유성구 국제과학7로 36 (신동)5834500
12420442(주)대영에스텍강원구대전 유성구 국제과학3로 23(신동)2622600
23420308대하테크원 주식회사황철호대전 유성구 국제과학11로 22 (둔곡동)520900
34112997(주)한국가스기술공사조용돈대전 유성구 대덕대로 1227(봉산동)735400
45420243(주)유엠로직스권환우대전 유성구 테크노2로 17, 2층(관평동)3577300
56130473(주)아이디스김영달대전 유성구 테크노3로 8-10 (관평동)9805200
67420380주식회사 와이넷이상훈대전 유성구 테크노4로 17 에이동201,202호(관평동, 대덕비즈센터)8988800
78420346주식회사 이룸아이씨티박정규대전 유성구 테크노4로 17 , 에이 410호(관평동, 대덕비즈센터)1657300
89120445주식회사 이우아이엔씨우해숙대전 유성구 테크노4로 17 , 디동 714호(관평동, 대덕비즈센터)1552300
910420003(주)좋은소리이재관대전 유성구 테크노4로 17 , 에이동 501호(관평동, 비즈센터)2432700
순 번등록번호상 호대표자 성명주 소시공능력평가액(천원)
385386420430주식회사 태성정보통신박일우대전 서구 가수원로 46-1, 1층 (가수원동)1059100
386387420331엘큐정보통신 주식회사이완규대전 서구 가수원로65번길 83, 1층 105호(가수원동, 상가)865500
387388420363주식회사 세종통신김연옥대전 서구 계백로 1308 (정림동)3120200
388389202769주식회사 진중아이티최재만대전 서구 계백로 1308 , 1층(정림동)9077200
389390420110(주)동천아이엔씨김보선대전 서구 정림로10번길 37-15(정림동)3608400
390391420108(주)미래온이경용대전 서구 복수남로 31, 201호(복수동)2851800
391392420057(주)원모어정보시스템백민규대전 서구 복수남로 53, 정일빌딩 301호 (복수동)5128300
392393130168(주)오티에스송무상대전 서구 복수동로87번길 13-6, 오티에스빌딩 (복수동)11172600
393394130058주식회사 협신이상헌대전 서구 벌곡로 390(평촌동)10056600
394395130084서광전기통신공사(주)임희일대전 서구 사진개길 19-29 (흑석동)2097400