Overview

Dataset statistics

Number of variables9
Number of observations7915
Missing cells7985
Missing cells (%)11.2%
Duplicate rows326
Duplicate rows (%)4.1%
Total size in memory564.4 KiB
Average record size in memory73.0 B

Variable types

DateTime3
Text3
Unsupported1
Categorical2

Dataset

Description경기도 광주시 스마트이통장넷 행사 일정에 대한 데이터로 행사날짜, 행사시간,제목, 내용, 행사장소, 주관기관, 상태코드, 구분, 생성일 등을 제공합니다
URLhttps://www.data.go.kr/data/15101138/fileData.do

Alerts

Dataset has 326 (4.1%) duplicate rowsDuplicates
내용 has 7915 (100.0%) missing valuesMissing
내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 03:14:47.507120
Analysis finished2023-12-12 03:14:48.995387
Duration1.49 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct1628
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Memory size62.0 KiB
Minimum2016-08-01 00:00:00
Maximum2023-07-21 00:00:00
2023-12-12T12:14:49.084986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:49.261814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct76
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size62.0 KiB
Minimum2023-12-12 05:30:00
Maximum2023-12-12 21:00:00
2023-12-12T12:14:49.429740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:49.651209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제목
Text

Distinct4249
Distinct (%)53.7%
Missing0
Missing (%)0.0%
Memory size62.0 KiB
2023-12-12T12:14:50.034175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length60
Mean length17.956412
Min length2

Characters and Unicode

Total characters142125
Distinct characters731
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2876 ?
Unique (%)36.3%

Sample

1st row제1회 광주시배드민턴 협회장기 배드민턴대회
2nd row2017 재난대응 안전한국훈련 비상발령
3rd row제255회 광주시의회 임시회 2차 본회의
4th row제4회 지방보조금 심의 위원회 개최
5th row바르게살기운동 광주시협의회 불우이웃돕기 바자회
ValueCountFrequency (%)
광주시 697
 
2.3%
446
 
1.5%
티타임 403
 
1.3%
광주시의회 377
 
1.2%
주재 367
 
1.2%
관련 364
 
1.2%
영상회의 310
 
1.0%
기탁식 307
 
1.0%
이웃돕기 298
 
1.0%
월례회의 294
 
1.0%
Other values (5178) 26322
87.2%
2023-12-12T12:14:50.686620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22633
 
15.9%
7175
 
5.0%
3478
 
2.4%
3131
 
2.2%
2 3103
 
2.2%
2880
 
2.0%
2488
 
1.8%
1 2426
 
1.7%
2336
 
1.6%
2214
 
1.6%
Other values (721) 90261
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 104420
73.5%
Space Separator 22633
 
15.9%
Decimal Number 11375
 
8.0%
Other Punctuation 956
 
0.7%
Uppercase Letter 689
 
0.5%
Close Punctuation 589
 
0.4%
Open Punctuation 575
 
0.4%
Math Symbol 311
 
0.2%
Lowercase Letter 187
 
0.1%
Other Symbol 151
 
0.1%
Other values (5) 239
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7175
 
6.9%
3478
 
3.3%
3131
 
3.0%
2880
 
2.8%
2488
 
2.4%
2336
 
2.2%
2214
 
2.1%
2099
 
2.0%
1689
 
1.6%
1556
 
1.5%
Other values (632) 75374
72.2%
Uppercase Letter
ValueCountFrequency (%)
G 96
13.9%
T 83
12.0%
S 75
 
10.9%
O 57
 
8.3%
C 42
 
6.1%
A 30
 
4.4%
B 30
 
4.4%
I 29
 
4.2%
E 28
 
4.1%
F 27
 
3.9%
Other values (15) 192
27.9%
Lowercase Letter
ValueCountFrequency (%)
i 21
11.2%
f 20
10.7%
e 18
 
9.6%
t 15
 
8.0%
o 15
 
8.0%
c 13
 
7.0%
r 12
 
6.4%
s 10
 
5.3%
g 9
 
4.8%
k 9
 
4.8%
Other values (12) 45
24.1%
Decimal Number
ValueCountFrequency (%)
2 3103
27.3%
1 2426
21.3%
0 2169
19.1%
9 916
 
8.1%
3 654
 
5.7%
8 645
 
5.7%
7 416
 
3.7%
4 370
 
3.3%
6 346
 
3.0%
5 330
 
2.9%
Other Punctuation
ValueCountFrequency (%)
: 331
34.6%
· 323
33.8%
. 174
18.2%
/ 93
 
9.7%
! 13
 
1.4%
& 11
 
1.2%
" 8
 
0.8%
' 3
 
0.3%
Math Symbol
ValueCountFrequency (%)
+ 123
39.5%
~ 79
25.4%
> 51
16.4%
< 51
16.4%
7
 
2.3%
Close Punctuation
ValueCountFrequency (%)
) 456
77.4%
] 60
 
10.2%
47
 
8.0%
26
 
4.4%
Open Punctuation
ValueCountFrequency (%)
( 441
76.7%
[ 61
 
10.6%
47
 
8.2%
26
 
4.5%
Other Symbol
ValueCountFrequency (%)
96
63.6%
35
 
23.2%
20
 
13.2%
Initial Punctuation
ValueCountFrequency (%)
39
66.1%
20
33.9%
Final Punctuation
ValueCountFrequency (%)
31
60.8%
20
39.2%
Space Separator
ValueCountFrequency (%)
22633
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%
Format
ValueCountFrequency (%)
­ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 104304
73.4%
Common 36794
 
25.9%
Latin 876
 
0.6%
Han 151
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7175
 
6.9%
3478
 
3.3%
3131
 
3.0%
2880
 
2.8%
2488
 
2.4%
2336
 
2.2%
2214
 
2.1%
2099
 
2.0%
1689
 
1.6%
1556
 
1.5%
Other values (618) 75258
72.2%
Latin
ValueCountFrequency (%)
G 96
 
11.0%
T 83
 
9.5%
S 75
 
8.6%
O 57
 
6.5%
C 42
 
4.8%
A 30
 
3.4%
B 30
 
3.4%
I 29
 
3.3%
E 28
 
3.2%
F 27
 
3.1%
Other values (37) 379
43.3%
Common
ValueCountFrequency (%)
22633
61.5%
2 3103
 
8.4%
1 2426
 
6.6%
0 2169
 
5.9%
9 916
 
2.5%
3 654
 
1.8%
8 645
 
1.8%
) 456
 
1.2%
( 441
 
1.2%
7 416
 
1.1%
Other values (31) 2935
 
8.0%
Han
ValueCountFrequency (%)
42
27.8%
42
27.8%
42
27.8%
8
 
5.3%
3
 
2.0%
3
 
2.0%
2
 
1.3%
2
 
1.3%
1
 
0.7%
1
 
0.7%
Other values (5) 5
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 104269
73.4%
ASCII 36966
 
26.0%
None 506
 
0.4%
CJK 151
 
0.1%
Geometric Shapes 123
 
0.1%
Punctuation 110
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22633
61.2%
2 3103
 
8.4%
1 2426
 
6.6%
0 2169
 
5.9%
9 916
 
2.5%
3 654
 
1.8%
8 645
 
1.7%
) 456
 
1.2%
( 441
 
1.2%
7 416
 
1.1%
Other values (65) 3107
 
8.4%
Hangul
ValueCountFrequency (%)
7175
 
6.9%
3478
 
3.3%
3131
 
3.0%
2880
 
2.8%
2488
 
2.4%
2336
 
2.2%
2214
 
2.1%
2099
 
2.0%
1689
 
1.6%
1556
 
1.5%
Other values (617) 75223
72.1%
None
ValueCountFrequency (%)
· 323
63.8%
47
 
9.3%
47
 
9.3%
35
 
6.9%
26
 
5.1%
26
 
5.1%
­ 2
 
0.4%
Geometric Shapes
ValueCountFrequency (%)
96
78.0%
20
 
16.3%
7
 
5.7%
CJK
ValueCountFrequency (%)
42
27.8%
42
27.8%
42
27.8%
8
 
5.3%
3
 
2.0%
3
 
2.0%
2
 
1.3%
2
 
1.3%
1
 
0.7%
1
 
0.7%
Other values (5) 5
 
3.3%
Punctuation
ValueCountFrequency (%)
39
35.5%
31
28.2%
20
18.2%
20
18.2%

내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7915
Missing (%)100.0%
Memory size69.7 KiB
Distinct1346
Distinct (%)17.1%
Missing33
Missing (%)0.4%
Memory size62.0 KiB
2023-12-12T12:14:51.017647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length5.1816798
Min length2

Characters and Unicode

Total characters40842
Distinct characters490
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique751 ?
Unique (%)9.5%

Sample

1st row동원대학교
2nd row재난종합상황실
3rd row본회의장
4th row상황실
5th row동그라미 호프집
ValueCountFrequency (%)
상황실 1084
 
12.2%
시장실 832
 
9.4%
접견실 368
 
4.1%
영상회의실 366
 
4.1%
재난상황실 324
 
3.7%
대회의실 308
 
3.5%
중회의실 277
 
3.1%
상임위원회실 198
 
2.2%
본회의장 180
 
2.0%
부시장실 163
 
1.8%
Other values (1413) 4768
53.8%
2023-12-12T12:14:51.495488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4255
 
10.4%
2180
 
5.3%
1739
 
4.3%
1639
 
4.0%
1421
 
3.5%
1407
 
3.4%
1400
 
3.4%
986
 
2.4%
687
 
1.7%
675
 
1.7%
Other values (480) 24453
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37711
92.3%
Decimal Number 1642
 
4.0%
Space Separator 986
 
2.4%
Dash Punctuation 169
 
0.4%
Uppercase Letter 157
 
0.4%
Close Punctuation 44
 
0.1%
Other Punctuation 39
 
0.1%
Math Symbol 35
 
0.1%
Lowercase Letter 34
 
0.1%
Open Punctuation 24
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4255
 
11.3%
2180
 
5.8%
1739
 
4.6%
1639
 
4.3%
1421
 
3.8%
1407
 
3.7%
1400
 
3.7%
687
 
1.8%
675
 
1.8%
568
 
1.5%
Other values (430) 21740
57.6%
Uppercase Letter
ValueCountFrequency (%)
C 28
17.8%
T 19
12.1%
W 18
11.5%
K 15
9.6%
J 14
8.9%
I 8
 
5.1%
N 7
 
4.5%
Y 6
 
3.8%
A 6
 
3.8%
G 5
 
3.2%
Other values (10) 31
19.7%
Decimal Number
ValueCountFrequency (%)
1 380
23.1%
2 257
15.7%
4 182
11.1%
3 174
10.6%
5 154
9.4%
7 117
 
7.1%
8 112
 
6.8%
6 107
 
6.5%
0 83
 
5.1%
9 76
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
e 12
35.3%
a 7
20.6%
t 4
 
11.8%
s 3
 
8.8%
d 2
 
5.9%
v 2
 
5.9%
c 1
 
2.9%
b 1
 
2.9%
k 1
 
2.9%
f 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
@ 18
46.2%
· 18
46.2%
. 3
 
7.7%
Math Symbol
ValueCountFrequency (%)
+ 30
85.7%
~ 5
 
14.3%
Space Separator
ValueCountFrequency (%)
986
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 169
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37712
92.3%
Common 2939
 
7.2%
Latin 191
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4255
 
11.3%
2180
 
5.8%
1739
 
4.6%
1639
 
4.3%
1421
 
3.8%
1407
 
3.7%
1400
 
3.7%
687
 
1.8%
675
 
1.8%
568
 
1.5%
Other values (431) 21741
57.7%
Latin
ValueCountFrequency (%)
C 28
14.7%
T 19
 
9.9%
W 18
 
9.4%
K 15
 
7.9%
J 14
 
7.3%
e 12
 
6.3%
I 8
 
4.2%
N 7
 
3.7%
a 7
 
3.7%
Y 6
 
3.1%
Other values (20) 57
29.8%
Common
ValueCountFrequency (%)
986
33.5%
1 380
 
12.9%
2 257
 
8.7%
4 182
 
6.2%
3 174
 
5.9%
- 169
 
5.8%
5 154
 
5.2%
7 117
 
4.0%
8 112
 
3.8%
6 107
 
3.6%
Other values (9) 301
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37711
92.3%
ASCII 3112
 
7.6%
None 19
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
4255
 
11.3%
2180
 
5.8%
1739
 
4.6%
1639
 
4.3%
1421
 
3.8%
1407
 
3.7%
1400
 
3.7%
687
 
1.8%
675
 
1.8%
568
 
1.5%
Other values (430) 21740
57.6%
ASCII
ValueCountFrequency (%)
986
31.7%
1 380
 
12.2%
2 257
 
8.3%
4 182
 
5.8%
3 174
 
5.6%
- 169
 
5.4%
5 154
 
4.9%
7 117
 
3.8%
8 112
 
3.6%
6 107
 
3.4%
Other values (38) 474
15.2%
None
ValueCountFrequency (%)
· 18
94.7%
1
 
5.3%
Distinct328
Distinct (%)4.2%
Missing37
Missing (%)0.5%
Memory size62.0 KiB
2023-12-12T12:14:51.809605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length4
Mean length3.4601422
Min length1

Characters and Unicode

Total characters27259
Distinct characters231
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

Unique72 ?
Unique (%)0.9%

Sample

1st row체육진흥
2nd row자연재난
3rd row기획
4th row예산
5th row대외협력
ValueCountFrequency (%)
기획 1534
 
19.4%
사회재난 299
 
3.8%
체육진흥 264
 
3.3%
자치행정 244
 
3.1%
복지지원 227
 
2.9%
교류협력 196
 
2.5%
총무 179
 
2.3%
복지기획 172
 
2.2%
문화정책 165
 
2.1%
행정지원 156
 
2.0%
Other values (308) 4475
56.6%
2023-12-12T12:14:52.275856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2151
 
7.9%
2030
 
7.4%
1487
 
5.5%
1390
 
5.1%
828
 
3.0%
693
 
2.5%
691
 
2.5%
659
 
2.4%
555
 
2.0%
544
 
2.0%
Other values (221) 16231
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26787
98.3%
Uppercase Letter 339
 
1.2%
Decimal Number 59
 
0.2%
Space Separator 38
 
0.1%
Math Symbol 21
 
0.1%
Lowercase Letter 14
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2151
 
8.0%
2030
 
7.6%
1487
 
5.6%
1390
 
5.2%
828
 
3.1%
693
 
2.6%
691
 
2.6%
659
 
2.5%
555
 
2.1%
544
 
2.0%
Other values (203) 15759
58.8%
Lowercase Letter
ValueCountFrequency (%)
t 4
28.6%
s 2
14.3%
d 2
14.3%
v 2
14.3%
e 2
14.3%
f 1
 
7.1%
c 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 31
52.5%
1 18
30.5%
3 5
 
8.5%
0 4
 
6.8%
8 1
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
S 221
65.2%
O 113
33.3%
C 5
 
1.5%
Space Separator
ValueCountFrequency (%)
38
100.0%
Math Symbol
ValueCountFrequency (%)
+ 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26787
98.3%
Latin 353
 
1.3%
Common 119
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2151
 
8.0%
2030
 
7.6%
1487
 
5.6%
1390
 
5.2%
828
 
3.1%
693
 
2.6%
691
 
2.6%
659
 
2.5%
555
 
2.1%
544
 
2.0%
Other values (203) 15759
58.8%
Latin
ValueCountFrequency (%)
S 221
62.6%
O 113
32.0%
C 5
 
1.4%
t 4
 
1.1%
s 2
 
0.6%
d 2
 
0.6%
v 2
 
0.6%
e 2
 
0.6%
f 1
 
0.3%
c 1
 
0.3%
Common
ValueCountFrequency (%)
38
31.9%
2 31
26.1%
+ 21
17.6%
1 18
15.1%
3 5
 
4.2%
0 4
 
3.4%
- 1
 
0.8%
8 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26787
98.3%
ASCII 472
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2151
 
8.0%
2030
 
7.6%
1487
 
5.6%
1390
 
5.2%
828
 
3.1%
693
 
2.6%
691
 
2.6%
659
 
2.5%
555
 
2.1%
544
 
2.0%
Other values (203) 15759
58.8%
ASCII
ValueCountFrequency (%)
S 221
46.8%
O 113
23.9%
38
 
8.1%
2 31
 
6.6%
+ 21
 
4.4%
1 18
 
3.8%
3 5
 
1.1%
C 5
 
1.1%
0 4
 
0.8%
t 4
 
0.8%
Other values (8) 12
 
2.5%

상태코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size62.0 KiB
A
5376 
D
2539 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
A 5376
67.9%
D 2539
32.1%

Length

2023-12-12T12:14:52.423704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:14:52.539713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a 5376
67.9%
d 2539
32.1%

구분
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size62.0 KiB
A
3800 
C
2408 
B
1141 
D
566 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA
2nd rowC
3rd rowA
4th rowC
5th rowA

Common Values

ValueCountFrequency (%)
A 3800
48.0%
C 2408
30.4%
B 1141
 
14.4%
D 566
 
7.2%

Length

2023-12-12T12:14:53.005415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:14:53.119533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a 3800
48.0%
c 2408
30.4%
b 1141
 
14.4%
d 566
 
7.2%
Distinct348
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size62.0 KiB
Minimum2017-08-17 00:00:00
Maximum2023-07-20 00:00:00
2023-12-12T12:14:53.257995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:53.484322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Correlations

2023-12-12T12:14:53.635821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행사기간상태코드구분
행사기간1.0000.1040.639
상태코드0.1041.0000.137
구분0.6390.1371.000
2023-12-12T12:14:53.767695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상태코드구분
상태코드1.0000.090
구분0.0901.000
2023-12-12T12:14:53.893569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상태코드구분
상태코드1.0000.090
구분0.0901.000

Missing values

2023-12-12T12:14:48.629978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:14:48.796541image/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.
2023-12-12T12:14:48.928355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

행사날짜행사기간제목내용행사장소주관기관상태코드구분생성일
02017-11-0511:00제1회 광주시배드민턴 협회장기 배드민턴대회<NA>동원대학교체육진흥AA2017-10-27
12017-10-307:002017 재난대응 안전한국훈련 비상발령<NA>재난종합상황실자연재난AC2017-10-30
22017-10-3010:00제255회 광주시의회 임시회 2차 본회의<NA>본회의장기획AA2017-10-30
32017-10-3010:30제4회 지방보조금 심의 위원회 개최<NA>상황실예산AC2017-10-30
42017-10-3012:00바르게살기운동 광주시협의회 불우이웃돕기 바자회<NA>동그라미 호프집대외협력AA2017-10-30
52017-10-3016:00광주시 교통개선방안 보고회 개최<NA>영상회의실도로건설2AA2017-10-30
62017-11-2518:00초월읍축구회 송년회<NA>초월읍사무소초월읍AA2017-11-20
72017-11-269:00제12회 광주시농구협회장배 농구대회<NA>문화스포츠센터 다목적체육관체육진흥AC2017-11-20
82017-11-2614:00제3회 광주시의회의장배 생활체조대회 개회식<NA>남한산성아트홀 소극장체육진흥AA2017-11-20
92017-11-2617:00제7회 정기연주회 광주시오케스트라 어울림 콘서트<NA>남한산성아트홀 대극장문화예술AC2017-11-20
행사날짜행사기간제목내용행사장소주관기관상태코드구분생성일
79052023-06-2511:00제73주년 6.25.전쟁 기념행사<NA>중앙로 78복지기획AA2023-06-19
79062023-07-109:30임용장 교부식<NA>상황실인사DA2023-07-10
79072023-07-1010:00언론사 인터뷰<NA>시장실홍보기획DA2023-07-10
79082023-07-1014:00제52회 광주시민의 날 행사 실무자 회의<NA>중회의실행정지원DC2023-07-10
79092023-07-1015:00더샵오포센트럴포레 경로당 개소식<NA>태성1로 16노인지원DC2023-07-10
79102023-07-1311:00이오플로우(주) 제1공장 준공식<NA>경충대로295번길 25기업SOSAA2023-07-10
79112023-07-1315:00광주 우회도로(대로1-1호선) 확포장공사 도로 개통식<NA>송정동 143-18도시도로2AA2023-07-10
79122023-07-1316:00장지동(중로3-20호선) 도시계획도로 개설공사 도로개통식<NA>장지동 424-43도시도로2AA2023-07-10
79132023-07-1319:30WASBE D-1년 기념 네이처콘서트<NA>남한산성아트홀문화정책AA2023-07-10
79142023-07-1414:30언론사 인터뷰<NA>시장실홍보기획AA2023-07-10

Duplicate rows

Most frequently occurring

행사날짜행사기간제목행사장소주관기관상태코드구분생성일# duplicates
2112022-01-248:30코로나19 관련 중앙재난안전대책본부 영상회의재난상황실사회재난DB2022-01-2417
2132022-01-249:30설 연휴 종합대책 관련 부단체장 영상회의재난상황실총무DB2022-01-2416
2072022-01-2410:30전국남북교류협력 지방정부협의회 정기총회영상회의실자치행정DA2022-01-247
2092022-01-2414:002022년 임인년(壬寅年) 주요업무 보고회접견실기획DD2022-01-247
832019-10-1413:302019년 평생학습도시 동판 수여식양재aT센터평생교육DB2019-10-145
842019-10-149:00부시장 주재 티타임부시장실기획DB2019-10-145
1242020-05-188:30확대 간부회의상황실기획DD2020-05-185
2042022-01-2410:002022년 임인년(壬寅年) 주요업무 보고회접견실기획DA2022-01-245
2082022-01-2410:30전국남북교류협력 지방정부협의회 정기총회영상회의실자치행정DD2022-01-245
2552022-06-1610:00이웃돕기 성금 기탁식시장실복지지원DA2022-06-135