Overview

Dataset statistics

Number of variables8
Number of observations690
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory45.3 KiB
Average record size in memory67.2 B

Variable types

Numeric3
Categorical2
Text2
DateTime1

Dataset

Description한국체육산업개발의 사전정보 공표 목록입니다.공개항목, 주요내용, 공표주기, 공표시기, 담당부서 등 확인가능합니다.
Author한국체육산업개발주식회사
URLhttps://www.data.go.kr/data/15090257/fileData.do

Alerts

대분류 is highly overall correlated with 순번 and 2 other fieldsHigh correlation
소분류 is highly overall correlated with 순번 and 2 other fieldsHigh correlation
순번 is highly overall correlated with 사전정보공표분류 일련번호 and 2 other fieldsHigh correlation
사전정보공표분류 일련번호 is highly overall correlated with 순번 and 2 other fieldsHigh correlation
순번 has unique valuesUnique
사전정보공표데이터 일련번호 has unique valuesUnique
링크URL has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:28:37.586123
Analysis finished2023-12-12 17:28:39.502057
Duration1.92 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct690
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean346.41014
Minimum1
Maximum691
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2023-12-13T02:28:39.606743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile35.45
Q1174.25
median346.5
Q3518.75
95-th percentile656.55
Maximum691
Range690
Interquartile range (IQR)344.5

Descriptive statistics

Standard deviation199.47204
Coefficient of variation (CV)0.57582619
Kurtosis-1.1979553
Mean346.41014
Median Absolute Deviation (MAD)172.5
Skewness-0.0020296404
Sum239023
Variance39789.093
MonotonicityStrictly increasing
2023-12-13T02:28:39.792713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
466 1
 
0.1%
458 1
 
0.1%
459 1
 
0.1%
460 1
 
0.1%
461 1
 
0.1%
462 1
 
0.1%
463 1
 
0.1%
464 1
 
0.1%
465 1
 
0.1%
Other values (680) 680
98.6%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
691 1
0.1%
690 1
0.1%
689 1
0.1%
688 1
0.1%
687 1
0.1%
686 1
0.1%
685 1
0.1%
684 1
0.1%
683 1
0.1%
682 1
0.1%

사전정보공표분류 일련번호
Real number (ℝ)

HIGH CORRELATION 

Distinct46
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.728986
Minimum1
Maximum229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2023-12-13T02:28:39.962922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median12
Q325
95-th percentile123
Maximum229
Range228
Interquartile range (IQR)17

Descriptive statistics

Standard deviation39.986034
Coefficient of variation (CV)1.3918359
Kurtosis8.9453192
Mean28.728986
Median Absolute Deviation (MAD)10
Skewness2.9259379
Sum19823
Variance1598.8829
MonotonicityNot monotonic
2023-12-13T02:28:40.105761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
8 113
16.4%
25 88
12.8%
12 70
 
10.1%
11 69
 
10.0%
2 53
 
7.7%
24 33
 
4.8%
44 18
 
2.6%
141 13
 
1.9%
101 11
 
1.6%
7 10
 
1.4%
Other values (36) 212
30.7%
ValueCountFrequency (%)
1 9
 
1.3%
2 53
7.7%
4 10
 
1.4%
6 10
 
1.4%
7 10
 
1.4%
8 113
16.4%
10 10
 
1.4%
11 69
10.0%
12 70
10.1%
13 8
 
1.2%
ValueCountFrequency (%)
229 1
 
0.1%
228 1
 
0.1%
227 2
 
0.3%
211 5
0.7%
210 2
 
0.3%
201 1
 
0.1%
181 1
 
0.1%
164 1
 
0.1%
163 2
 
0.3%
162 2
 
0.3%

사전정보공표데이터 일련번호
Real number (ℝ)

UNIQUE 

Distinct690
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25792.535
Minimum19092
Maximum74829
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2023-12-13T02:28:40.270998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19092
5-th percentile19130.45
Q119282.25
median19461.5
Q319634.75
95-th percentile72977.05
Maximum74829
Range55737
Interquartile range (IQR)352.5

Descriptive statistics

Standard deviation17381.324
Coefficient of variation (CV)0.67388973
Kurtosis3.5947179
Mean25792.535
Median Absolute Deviation (MAD)176.5
Skewness2.3621616
Sum17796849
Variance3.0211043 × 108
MonotonicityNot monotonic
2023-12-13T02:28:40.439392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74395 1
 
0.1%
19583 1
 
0.1%
19474 1
 
0.1%
19473 1
 
0.1%
19358 1
 
0.1%
19380 1
 
0.1%
19109 1
 
0.1%
19130 1
 
0.1%
71584 1
 
0.1%
19613 1
 
0.1%
Other values (680) 680
98.6%
ValueCountFrequency (%)
19092 1
0.1%
19093 1
0.1%
19094 1
0.1%
19095 1
0.1%
19096 1
0.1%
19097 1
0.1%
19098 1
0.1%
19099 1
0.1%
19100 1
0.1%
19101 1
0.1%
ValueCountFrequency (%)
74829 1
0.1%
74608 1
0.1%
74415 1
0.1%
74413 1
0.1%
74402 1
0.1%
74398 1
0.1%
74395 1
0.1%
74326 1
0.1%
74325 1
0.1%
74202 1
0.1%

대분류
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
계약구매
281 
예산재무
171 
주요사업
139 
<NA>
54 
외부평가
45 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
계약구매 281
40.7%
예산재무 171
24.8%
주요사업 139
20.1%
<NA> 54
 
7.8%
외부평가 45
 
6.5%

Length

2023-12-13T02:28:40.578843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:28:40.688065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
계약구매 281
40.7%
예산재무 171
24.8%
주요사업 139
20.1%
na 54
 
7.8%
외부평가 45
 
6.5%

소분류
Categorical

HIGH CORRELATION 

Distinct46
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
기관장 업무추진비 사용내역
113 
고객 모니터링단 활동보고서
88 
5백만원 이상 수의계약 현황
70 
1천만원 이상 계약 현황
69 
기관 및 부서별 업무계획
53 
Other values (41)
297 

Length

Max length20
Median length18
Mean length12.421739
Min length3

Unique

Unique7 ?
Unique (%)1.0%

Sample

1st row임직원 행동강령
2nd row임직원 행동강령
3rd row임직원 행동강령
4th row임직원 행동강령
5th row임직원 행동강령

Common Values

ValueCountFrequency (%)
기관장 업무추진비 사용내역 113
16.4%
고객 모니터링단 활동보고서 88
12.8%
5백만원 이상 수의계약 현황 70
 
10.1%
1천만원 이상 계약 현황 69
 
10.0%
기관 및 부서별 업무계획 53
 
7.7%
주주총회 회의록 33
 
4.8%
성희롱 예방교육 현황 18
 
2.6%
임직원 친인척 채용정보 13
 
1.9%
올림픽공원 내 CCTV 설치 현황 11
 
1.6%
경영실적 보고서 10
 
1.4%
Other values (36) 212
30.7%

Length

2023-12-13T02:28:40.823344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
현황 247
 
11.2%
이상 139
 
6.3%
사용내역 117
 
5.3%
기관장 113
 
5.1%
업무추진비 113
 
5.1%
고객 88
 
4.0%
모니터링단 88
 
4.0%
활동보고서 88
 
4.0%
계약 74
 
3.4%
5백만원 70
 
3.2%
Other values (84) 1059
48.2%

제목
Text

Distinct656
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
2023-12-13T02:28:41.136667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length29
Mean length18.908696
Min length4

Characters and Unicode

Total characters13047
Distinct characters215
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique646 ?
Unique (%)93.6%

Sample

1st row임직원 행동강령(2022.10.7. 개정)
2nd row임직원 행동강령(2020년 개정전문)
3rd row임직원 행동강령(2019.12.30. 개정)
4th row임직원 행동강령(2019년 개정전문)
5th row임직원 행동강령 (2018년 개정전문)
ValueCountFrequency (%)
현황 138
 
5.1%
업무추진비 113
 
4.1%
기관장 113
 
4.1%
보고서 84
 
3.1%
활동 73
 
2.7%
고객모니터링단 70
 
2.6%
계약현황 69
 
2.5%
2016년 60
 
2.2%
2014년 58
 
2.1%
2015년 58
 
2.1%
Other values (273) 1895
69.4%
2023-12-13T02:28:41.659001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2081
 
16.0%
2 953
 
7.3%
0 713
 
5.5%
1 650
 
5.0%
년 590
 
4.5%
월 298
 
2.3%
현 265
 
2.0%
황 264
 
2.0%
기 232
 
1.8%
계 214
 
1.6%
Other values (205) 6787
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7732
59.3%
Decimal Number 3063
 
23.5%
Space Separator 2081
 
16.0%
Uppercase Letter 57
 
0.4%
Open Punctuation 41
 
0.3%
Close Punctuation 41
 
0.3%
Dash Punctuation 24
 
0.2%
Other Punctuation 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
년 590
 
7.6%
월 298
 
3.9%
현 265
 
3.4%
황 264
 
3.4%
기 232
 
3.0%
계 214
 
2.8%
고 213
 
2.8%
업 194
 
2.5%
도 184
 
2.4%
무 169
 
2.2%
Other values (177) 5109
66.1%
Uppercase Letter
ValueCountFrequency (%)
C 24
42.1%
V 12
21.1%
T 11
19.3%
P 2
 
3.5%
O 2
 
3.5%
S 1
 
1.8%
K 1
 
1.8%
G 1
 
1.8%
A 1
 
1.8%
N 1
 
1.8%
Decimal Number
ValueCountFrequency (%)
2 953
31.1%
0 713
23.3%
1 650
21.2%
5 173
 
5.6%
4 113
 
3.7%
6 103
 
3.4%
7 102
 
3.3%
9 91
 
3.0%
8 91
 
3.0%
3 74
 
2.4%
Other Punctuation
ValueCountFrequency (%)
. 6
75.0%
· 1
 
12.5%
& 1
 
12.5%
Space Separator
ValueCountFrequency (%)
2081
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7732
59.3%
Common 5258
40.3%
Latin 57
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
년 590
 
7.6%
월 298
 
3.9%
현 265
 
3.4%
황 264
 
3.4%
기 232
 
3.0%
계 214
 
2.8%
고 213
 
2.8%
업 194
 
2.5%
도 184
 
2.4%
무 169
 
2.2%
Other values (177) 5109
66.1%
Common
ValueCountFrequency (%)
2081
39.6%
2 953
18.1%
0 713
 
13.6%
1 650
 
12.4%
5 173
 
3.3%
4 113
 
2.1%
6 103
 
2.0%
7 102
 
1.9%
9 91
 
1.7%
8 91
 
1.7%
Other values (7) 188
 
3.6%
Latin
ValueCountFrequency (%)
C 24
42.1%
V 12
21.1%
T 11
19.3%
P 2
 
3.5%
O 2
 
3.5%
S 1
 
1.8%
K 1
 
1.8%
G 1
 
1.8%
A 1
 
1.8%
N 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7732
59.3%
ASCII 5314
40.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2081
39.2%
2 953
17.9%
0 713
 
13.4%
1 650
 
12.2%
5 173
 
3.3%
4 113
 
2.1%
6 103
 
1.9%
7 102
 
1.9%
9 91
 
1.7%
8 91
 
1.7%
Other values (17) 244
 
4.6%
Hangul
ValueCountFrequency (%)
년 590
 
7.6%
월 298
 
3.9%
현 265
 
3.4%
황 264
 
3.4%
기 232
 
3.0%
계 214
 
2.8%
고 213
 
2.8%
업 194
 
2.5%
도 184
 
2.4%
무 169
 
2.2%
Other values (177) 5109
66.1%
None
ValueCountFrequency (%)
· 1
100.0%

링크URL
Text

UNIQUE 

Distinct690
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
2023-12-13T02:28:42.015508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length83
Mean length82.911594
Min length25

Characters and Unicode

Total characters57209
Distinct characters44
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique690 ?
Unique (%)100.0%

Sample

1st rowhttps://www.ksponco.or.kr/board.es?mid=a10103000000&bid=0057&list_no=74395&act=view
2nd rowhttps://www.ksponco.or.kr/board.es?mid=a10103000000&bid=0057&list_no=19585&act=view
3rd rowhttps://www.ksponco.or.kr/board.es?mid=a10103000000&bid=0057&list_no=19597&act=view
4th rowhttps://www.ksponco.or.kr/board.es?mid=a10103000000&bid=0057&list_no=19441&act=view
5th rowhttps://www.ksponco.or.kr/board.es?mid=a10103000000&bid=0057&list_no=19430&act=view
ValueCountFrequency (%)
https://www.ksponco.or.kr/board.es?mid=a10103000000&bid=0057&list_no=74395&act=view 1
 
0.1%
https://www.ksponco.or.kr/board.es?mid=a10103000000&bid=0057&list_no=19130&act=view 1
 
0.1%
https://www.ksponco.or.kr/board.es?mid=a10103000000&bid=0057&list_no=19589&act=view 1
 
0.1%
https://www.ksponco.or.kr/board.es?mid=a10103000000&bid=0057&list_no=19703&act=view 1
 
0.1%
https://www.ksponco.or.kr/board.es?mid=a10103000000&bid=0057&list_no=19655&act=view 1
 
0.1%
https://www.ksponco.or.kr/board.es?mid=a10103000000&bid=0057&list_no=19474&act=view 1
 
0.1%
https://www.ksponco.or.kr/board.es?mid=a10103000000&bid=0057&list_no=19473&act=view 1
 
0.1%
https://www.ksponco.or.kr/board.es?mid=a10103000000&bid=0057&list_no=19358&act=view 1
 
0.1%
https://www.ksponco.or.kr/board.es?mid=a10103000000&bid=0057&list_no=19380&act=view 1
 
0.1%
https://www.ksponco.or.kr/board.es?mid=a10103000000&bid=0057&list_no=19109&act=view 1
 
0.1%
Other values (680) 680
98.6%
2023-12-13T02:28:42.554558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7041
 
12.3%
o 3448
 
6.0%
t 2759
 
4.8%
. 2757
 
4.8%
i 2757
 
4.8%
s 2755
 
4.8%
w 2755
 
4.8%
= 2755
 
4.8%
1 2241
 
3.9%
/ 2069
 
3.6%
Other values (34) 25872
45.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 31709
55.4%
Decimal Number 13780
24.1%
Other Punctuation 8270
 
14.5%
Math Symbol 2755
 
4.8%
Connector Punctuation 688
 
1.2%
Uppercase Letter 7
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 3448
10.9%
t 2759
 
8.7%
i 2757
 
8.7%
s 2755
 
8.7%
w 2755
 
8.7%
r 2069
 
6.5%
a 2069
 
6.5%
d 2067
 
6.5%
e 1381
 
4.4%
p 1379
 
4.3%
Other values (10) 8270
26.1%
Decimal Number
ValueCountFrequency (%)
0 7041
51.1%
1 2241
 
16.3%
7 930
 
6.7%
5 927
 
6.7%
3 917
 
6.7%
9 764
 
5.5%
2 288
 
2.1%
4 264
 
1.9%
6 246
 
1.8%
8 162
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
O 1
14.3%
L 1
14.3%
I 1
14.3%
C 1
14.3%
F 1
14.3%
R 1
14.3%
N 1
14.3%
Other Punctuation
ValueCountFrequency (%)
. 2757
33.3%
/ 2069
25.0%
& 2065
25.0%
? 690
 
8.3%
: 689
 
8.3%
Math Symbol
ValueCountFrequency (%)
= 2755
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 688
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 31716
55.4%
Common 25493
44.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 3448
10.9%
t 2759
 
8.7%
i 2757
 
8.7%
s 2755
 
8.7%
w 2755
 
8.7%
r 2069
 
6.5%
a 2069
 
6.5%
d 2067
 
6.5%
e 1381
 
4.4%
p 1379
 
4.3%
Other values (17) 8277
26.1%
Common
ValueCountFrequency (%)
0 7041
27.6%
. 2757
 
10.8%
= 2755
 
10.8%
1 2241
 
8.8%
/ 2069
 
8.1%
& 2065
 
8.1%
7 930
 
3.6%
5 927
 
3.6%
3 917
 
3.6%
9 764
 
3.0%
Other values (7) 3027
11.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 57209
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7041
 
12.3%
o 3448
 
6.0%
t 2759
 
4.8%
. 2757
 
4.8%
i 2757
 
4.8%
s 2755
 
4.8%
w 2755
 
4.8%
= 2755
 
4.8%
1 2241
 
3.9%
/ 2069
 
3.6%
Other values (34) 25872
45.2%

등록일
Date

Distinct275
Distinct (%)39.9%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
Minimum2014-05-21 00:00:00
Maximum2023-08-01 00:00:00
2023-12-13T02:28:42.728739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:28:42.907229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-13T02:28:38.837717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:28:38.056646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:28:38.445187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:28:38.974576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:28:38.192830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:28:38.579986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:28:39.093983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:28:38.328442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:28:38.682914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:28:43.281264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번사전정보공표분류 일련번호사전정보공표데이터 일련번호대분류소분류
순번1.0000.8470.2320.9340.986
사전정보공표분류 일련번호0.8471.0000.4970.7211.000
사전정보공표데이터 일련번호0.2320.4971.0000.0000.471
대분류0.9340.7210.0001.0001.000
소분류0.9861.0000.4711.0001.000
2023-12-13T02:28:43.379242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대분류소분류
대분류1.0000.974
소분류0.9741.000
2023-12-13T02:28:43.465836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번사전정보공표분류 일련번호사전정보공표데이터 일련번호대분류소분류
순번1.0000.714-0.0080.8400.863
사전정보공표분류 일련번호0.7141.0000.1640.5570.973
사전정보공표데이터 일련번호-0.0080.1641.0000.0000.364
대분류0.8400.5570.0001.0000.974
소분류0.8630.9730.3640.9741.000

Missing values

2023-12-13T02:28:39.250565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:28:39.438063image/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

순번사전정보공표분류 일련번호사전정보공표데이터 일련번호대분류소분류제목링크URL등록일
01174395계약구매임직원 행동강령임직원 행동강령(2022.10.7. 개정)https://www.ksponco.or.kr/board.es?mid=a10103000000&bid=0057&list_no=74395&act=view2023-07-14
12119585계약구매임직원 행동강령임직원 행동강령(2020년 개정전문)https://www.ksponco.or.kr/board.es?mid=a10103000000&bid=0057&list_no=19585&act=view2021-01-29
23119597계약구매임직원 행동강령임직원 행동강령(2019.12.30. 개정)https://www.ksponco.or.kr/board.es?mid=a10103000000&bid=0057&list_no=19597&act=view2020-02-11
34119441계약구매임직원 행동강령임직원 행동강령(2019년 개정전문)https://www.ksponco.or.kr/board.es?mid=a10103000000&bid=0057&list_no=19441&act=view2019-01-24
45119430계약구매임직원 행동강령임직원 행동강령 (2018년 개정전문)https://www.ksponco.or.kr/board.es?mid=a10103000000&bid=0057&list_no=19430&act=view2018-06-25
56119429계약구매임직원 행동강령임직원 행동강령 (2017년 개정전문)https://www.ksponco.or.kr/board.es?mid=a10103000000&bid=0057&list_no=19429&act=view2018-06-25
67119273계약구매임직원 행동강령임직원 행동강령https://www.ksponco.or.kr/board.es?mid=a10103000000&bid=0057&list_no=19273&act=view2016-01-28
78119099계약구매임직원 행동강령임직원 행동강령https://www.ksponco.or.kr/board.es?mid=a10103000000&bid=0057&list_no=19099&act=view2015-01-30
89119163계약구매임직원 행동강령임직원 행동강령https://www.ksponco.or.kr/board.es?mid=a10103000000&bid=0057&list_no=19163&act=view2014-05-23
910273844계약구매기관 및 부서별 업무계획2023년도 한국체육산업개발(주) 업무계획https://www.ksponco.or.kr/board.es?mid=a10103000000&bid=0057&list_no=73844&act=view2023-05-19
순번사전정보공표분류 일련번호사전정보공표데이터 일련번호대분류소분류제목링크URL등록일
68068210119497<NA>올림픽공원 내 CCTV 설치 현황올림픽공원 내 CCTV 설치 현황https://www.ksponco.or.kr/board.es?mid=a10103000000&bid=0057&list_no=19497&act=view2016-12-30
68168310119524<NA>올림픽공원 내 CCTV 설치 현황올림픽공원 내 CCTV 설치 현황https://www.ksponco.or.kr/board.es?mid=a10103000000&bid=0057&list_no=19524&act=view2016-08-01
68268412371944<NA>대관심사위원회 구성 및 운영대관심사위원회 구성 및 운영https://www.ksponco.or.kr/board.es?mid=a10103000000&bid=0057&list_no=71944&act=view2022-10-21
68368512319702<NA>대관심사위원회 구성 및 운영대관심사위원회 구성 및 운영https://www.ksponco.or.kr/board.es?mid=a10103000000&bid=0057&list_no=19702&act=view2022-03-11
68468612319651<NA>대관심사위원회 구성 및 운영대관심사위원회 구성 및 운영https://www.ksponco.or.kr/board.es?mid=a10103000000&bid=0057&list_no=19651&act=view2021-11-17
68568712319580<NA>대관심사위원회 구성 및 운영대관심사위원회 구성 및 운영https://www.ksponco.or.kr/board.es?mid=a10103000000&bid=0057&list_no=19580&act=view2020-03-17
68668812519600<NA>스포츠센터 시설현황KSPO&CO올림픽스포츠센터 시설현황https://www.ksponco.or.kr/board.es?mid=a10103000000&bid=0057&list_no=19600&act=view2020-03-16
68768916374326<NA>안전전문인력 현황2022년도 안전전문인력 현황https://www.ksponco.or.kr/board.es?mid=a10103000000&bid=0057&list_no=74326&act=view2023-07-10
68869016319666<NA>안전전문인력 현황2020년도 안전전문인력 현황https://www.ksponco.or.kr/board.es?mid=a10103000000&bid=0057&list_no=19666&act=view2021-02-17
68969116419646<NA>친환경조경관리 현황2020년도 친환경조경관리 현황https://www.ksponco.or.kr/board.es?mid=a10103000000&bid=0057&list_no=19646&act=view2021-02-16