Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells18690
Missing cells (%)23.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory732.4 KiB
Average record size in memory75.0 B

Variable types

Numeric2
Unsupported1
Text2
DateTime2
Boolean1

Dataset

Description산림복지전문업지원시스템에서 추출한 산림복지 전문업 예약관련정보입니다.
Author한국산림복지진흥원
URLhttps://www.data.go.kr/data/15090296/fileData.do

Alerts

유효여부(VLDTY_YN) is highly imbalanced (98.2%)Imbalance
컬럼(한글)(컬럼(영문)) has 10000 (100.0%) missing valuesMissing
게시글제목(TWBBS_SUBJC) has 353 (3.5%) missing valuesMissing
게시글내용(TWBBS_CONT) has 396 (4.0%) missing valuesMissing
최종수정일시(LAST_UPDT_DTM) has 7941 (79.4%) missing valuesMissing
순번 has unique valuesUnique
컬럼(한글)(컬럼(영문)) is an unsupported type, check if it needs cleaning or further analysisUnsupported
참조순번(REFRN_SEQ) has 362 (3.6%) zerosZeros

Reproduction

Analysis started2023-12-12 04:07:25.290438
Analysis finished2023-12-12 04:07:27.771705
Duration2.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17087.954
Minimum7
Maximum33901
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:07:27.845097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile1713.85
Q18679.75
median17206.5
Q325518.25
95-th percentile32273.1
Maximum33901
Range33894
Interquartile range (IQR)16838.5

Descriptive statistics

Standard deviation9771.9026
Coefficient of variation (CV)0.57185913
Kurtosis-1.1949614
Mean17087.954
Median Absolute Deviation (MAD)8411
Skewness-0.017065696
Sum1.7087954 × 108
Variance95490080
MonotonicityNot monotonic
2023-12-12T13:07:28.038234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3093 1
 
< 0.1%
7879 1
 
< 0.1%
7977 1
 
< 0.1%
1688 1
 
< 0.1%
8519 1
 
< 0.1%
20234 1
 
< 0.1%
1834 1
 
< 0.1%
6502 1
 
< 0.1%
23508 1
 
< 0.1%
3325 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
7 1
< 0.1%
13 1
< 0.1%
15 1
< 0.1%
26 1
< 0.1%
31 1
< 0.1%
32 1
< 0.1%
34 1
< 0.1%
39 1
< 0.1%
40 1
< 0.1%
43 1
< 0.1%
ValueCountFrequency (%)
33901 1
< 0.1%
33898 1
< 0.1%
33896 1
< 0.1%
33887 1
< 0.1%
33885 1
< 0.1%
33883 1
< 0.1%
33881 1
< 0.1%
33879 1
< 0.1%
33874 1
< 0.1%
33870 1
< 0.1%

컬럼(한글)(컬럼(영문))
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

참조순번(REFRN_SEQ)
Real number (ℝ)

ZEROS 

Distinct5297
Distinct (%)53.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5859.0613
Minimum0
Maximum19251
Zeros362
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:07:28.238376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile998
Q1999
median2080
Q310769
95-th percentile17623.05
Maximum19251
Range19251
Interquartile range (IQR)9770

Descriptive statistics

Standard deviation6035.9472
Coefficient of variation (CV)1.0301901
Kurtosis-0.82855997
Mean5859.0613
Median Absolute Deviation (MAD)1726
Skewness0.80875479
Sum58590613
Variance36432659
MonotonicityNot monotonic
2023-12-12T13:07:28.434196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
999 4180
41.8%
0 362
 
3.6%
998 144
 
1.4%
99 17
 
0.2%
1 5
 
0.1%
5580 1
 
< 0.1%
7922 1
 
< 0.1%
11765 1
 
< 0.1%
7940 1
 
< 0.1%
10428 1
 
< 0.1%
Other values (5287) 5287
52.9%
ValueCountFrequency (%)
0 362
3.6%
1 5
 
0.1%
4 1
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
11 1
 
< 0.1%
12 1
 
< 0.1%
99 17
 
0.2%
101 1
 
< 0.1%
ValueCountFrequency (%)
19251 1
< 0.1%
19248 1
< 0.1%
19245 1
< 0.1%
19244 1
< 0.1%
19241 1
< 0.1%
19240 1
< 0.1%
19238 1
< 0.1%
19231 1
< 0.1%
19227 1
< 0.1%
19225 1
< 0.1%

게시글제목(TWBBS_SUBJC)
Text

MISSING 

Distinct708
Distinct (%)7.3%
Missing353
Missing (%)3.5%
Memory size156.2 KiB
2023-12-12T13:07:28.721573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length133
Median length4
Mean length6.7503887
Min length1

Characters and Unicode

Total characters65121
Distinct characters475
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique316 ?
Unique (%)3.3%

Sample

1st row우성원 2차
2nd row식사메모
3rd row정선초등학교
4th row일반예약
5th row식사메모
ValueCountFrequency (%)
식사메모 4324
34.6%
일반예약 1432
 
11.5%
예비 322
 
2.6%
임시 221
 
1.8%
숲캠프(녹색자금 219
 
1.8%
예약 206
 
1.6%
144
 
1.2%
녹색자금 133
 
1.1%
녹색자금(숲캠프 120
 
1.0%
관리자 117
 
0.9%
Other values (1207) 5266
42.1%
2023-12-12T13:07:29.214691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 4816
 
7.4%
식 4566
 
7.0%
모 4339
 
6.7%
메 4324
 
6.6%
2896
 
4.4%
예 2324
 
3.6%
약 1893
 
2.9%
일 1723
 
2.6%
반 1496
 
2.3%
/ 1214
 
1.9%
Other values (465) 35530
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 53935
82.8%
Decimal Number 2972
 
4.6%
Space Separator 2896
 
4.4%
Other Punctuation 1573
 
2.4%
Close Punctuation 1129
 
1.7%
Open Punctuation 1119
 
1.7%
Uppercase Letter 609
 
0.9%
Connector Punctuation 526
 
0.8%
Math Symbol 129
 
0.2%
Dash Punctuation 118
 
0.2%
Other values (2) 115
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 4816
 
8.9%
식 4566
 
8.5%
모 4339
 
8.0%
메 4324
 
8.0%
예 2324
 
4.3%
약 1893
 
3.5%
일 1723
 
3.2%
반 1496
 
2.8%
자 909
 
1.7%
숲 716
 
1.3%
Other values (409) 26829
49.7%
Lowercase Letter
ValueCountFrequency (%)
r 26
27.1%
d 15
15.6%
t 12
12.5%
e 12
12.5%
s 6
 
6.2%
j 5
 
5.2%
x 4
 
4.2%
o 4
 
4.2%
w 3
 
3.1%
u 2
 
2.1%
Other values (6) 7
 
7.3%
Uppercase Letter
ValueCountFrequency (%)
D 137
22.5%
S 136
22.3%
M 136
22.3%
B 124
20.4%
T 14
 
2.3%
P 13
 
2.1%
U 13
 
2.1%
O 13
 
2.1%
X 12
 
2.0%
E 4
 
0.7%
Other values (5) 7
 
1.1%
Decimal Number
ValueCountFrequency (%)
0 592
19.9%
1 519
17.5%
2 448
15.1%
4 278
9.4%
3 273
9.2%
5 208
 
7.0%
6 200
 
6.7%
8 193
 
6.5%
7 133
 
4.5%
9 128
 
4.3%
Other Punctuation
ValueCountFrequency (%)
/ 1214
77.2%
. 160
 
10.2%
* 108
 
6.9%
: 81
 
5.1%
& 5
 
0.3%
% 5
 
0.3%
Math Symbol
ValueCountFrequency (%)
~ 103
79.8%
> 22
 
17.1%
+ 4
 
3.1%
Space Separator
ValueCountFrequency (%)
2896
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1129
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1119
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 526
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%
Other Symbol
ValueCountFrequency (%)
★ 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 53933
82.8%
Common 10481
 
16.1%
Latin 705
 
1.1%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 4816
 
8.9%
식 4566
 
8.5%
모 4339
 
8.0%
메 4324
 
8.0%
예 2324
 
4.3%
약 1893
 
3.5%
일 1723
 
3.2%
반 1496
 
2.8%
자 909
 
1.7%
숲 716
 
1.3%
Other values (408) 26827
49.7%
Latin
ValueCountFrequency (%)
D 137
19.4%
S 136
19.3%
M 136
19.3%
B 124
17.6%
r 26
 
3.7%
d 15
 
2.1%
T 14
 
2.0%
P 13
 
1.8%
U 13
 
1.8%
O 13
 
1.8%
Other values (21) 78
11.1%
Common
ValueCountFrequency (%)
2896
27.6%
/ 1214
11.6%
) 1129
 
10.8%
( 1119
 
10.7%
0 592
 
5.6%
_ 526
 
5.0%
1 519
 
5.0%
2 448
 
4.3%
4 278
 
2.7%
3 273
 
2.6%
Other values (15) 1487
14.2%
Han
ValueCountFrequency (%)
必 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 53896
82.8%
ASCII 11167
 
17.1%
Compat Jamo 37
 
0.1%
Misc Symbols 19
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 4816
 
8.9%
식 4566
 
8.5%
모 4339
 
8.1%
메 4324
 
8.0%
예 2324
 
4.3%
약 1893
 
3.5%
일 1723
 
3.2%
반 1496
 
2.8%
자 909
 
1.7%
숲 716
 
1.3%
Other values (401) 26790
49.7%
ASCII
ValueCountFrequency (%)
2896
25.9%
/ 1214
10.9%
) 1129
 
10.1%
( 1119
 
10.0%
0 592
 
5.3%
_ 526
 
4.7%
1 519
 
4.6%
2 448
 
4.0%
4 278
 
2.5%
3 273
 
2.4%
Other values (45) 2173
19.5%
Misc Symbols
ValueCountFrequency (%)
★ 19
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 15
40.5%
ㄷ 7
18.9%
ㅈ 5
 
13.5%
ㄴ 4
 
10.8%
ㄱ 3
 
8.1%
ㅂ 2
 
5.4%
ㅁ 1
 
2.7%
CJK
ValueCountFrequency (%)
必 2
100.0%

게시글내용(TWBBS_CONT)
Text

MISSING 

Distinct4521
Distinct (%)47.1%
Missing396
Missing (%)4.0%
Memory size156.2 KiB
2023-12-12T13:07:29.656904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length532
Median length334
Mean length25.347564
Min length1

Characters and Unicode

Total characters243438
Distinct characters811
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3929 ?
Unique (%)40.9%

Sample

1st row우성원 2차
2nd row식수 반영 완료
3rd row정선초등학교
4th row일반예약
5th row1차 담당: 이현지 주임님_3.17. 정선현
ValueCountFrequency (%)
2183
 
5.2%
일반예약 1432
 
3.4%
예약 550
 
1.3%
취소 479
 
1.1%
결제 439
 
1.0%
입금확인 431
 
1.0%
이가희 424
 
1.0%
조현솔 422
 
1.0%
예비 334
 
0.8%
완료 273
 
0.7%
Other values (12501) 34948
83.4%
2023-12-12T13:07:30.356002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35920
 
14.8%
0 15314
 
6.3%
1 8620
 
3.5%
# 7216
 
3.0%
2 6483
 
2.7%
_ 5443
 
2.2%
3 4535
 
1.9%
/ 4409
 
1.8%
4 4269
 
1.8%
. 3866
 
1.6%
Other values (801) 147363
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 116769
48.0%
Decimal Number 55063
22.6%
Space Separator 35920
 
14.8%
Other Punctuation 16870
 
6.9%
Connector Punctuation 5443
 
2.2%
Close Punctuation 3867
 
1.6%
Open Punctuation 3625
 
1.5%
Dash Punctuation 3395
 
1.4%
Uppercase Letter 1085
 
0.4%
Math Symbol 920
 
0.4%
Other values (4) 481
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
예 3748
 
3.2%
원 3616
 
3.1%
인 3012
 
2.6%
약 2979
 
2.6%
일 2823
 
2.4%
금 2123
 
1.8%
식 1886
 
1.6%
이 1852
 
1.6%
정 1809
 
1.5%
현 1763
 
1.5%
Other values (708) 91158
78.1%
Uppercase Letter
ValueCountFrequency (%)
M 189
17.4%
S 165
15.2%
B 159
14.7%
D 152
14.0%
X 42
 
3.9%
O 42
 
3.9%
L 37
 
3.4%
T 33
 
3.0%
A 30
 
2.8%
P 29
 
2.7%
Other values (15) 207
19.1%
Lowercase Letter
ValueCountFrequency (%)
r 37
 
9.0%
x 35
 
8.5%
t 35
 
8.5%
o 35
 
8.5%
s 28
 
6.8%
a 26
 
6.3%
m 26
 
6.3%
d 23
 
5.6%
e 22
 
5.3%
u 17
 
4.1%
Other values (15) 129
31.2%
Other Punctuation
ValueCountFrequency (%)
# 7216
42.8%
/ 4409
26.1%
. 3866
22.9%
: 517
 
3.1%
% 425
 
2.5%
* 320
 
1.9%
! 74
 
0.4%
? 15
 
0.1%
& 9
 
0.1%
' 8
 
< 0.1%
Other values (4) 11
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 15314
27.8%
1 8620
15.7%
2 6483
11.8%
3 4535
 
8.2%
4 4269
 
7.8%
8 3755
 
6.8%
6 3324
 
6.0%
7 3217
 
5.8%
5 3177
 
5.8%
9 2369
 
4.3%
Math Symbol
ValueCountFrequency (%)
~ 323
35.1%
> 246
26.7%
+ 169
18.4%
= 164
17.8%
→ 17
 
1.8%
< 1
 
0.1%
Other Symbol
ValueCountFrequency (%)
★ 25
83.3%
○ 3
 
10.0%
☆ 1
 
3.3%
└ 1
 
3.3%
Close Punctuation
ValueCountFrequency (%)
) 3823
98.9%
] 44
 
1.1%
Open Punctuation
ValueCountFrequency (%)
( 3584
98.9%
[ 41
 
1.1%
Space Separator
ValueCountFrequency (%)
35920
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5443
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3395
100.0%
Control
ValueCountFrequency (%)
36
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 125171
51.4%
Hangul 116764
48.0%
Latin 1498
 
0.6%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
예 3748
 
3.2%
원 3616
 
3.1%
인 3012
 
2.6%
약 2979
 
2.6%
일 2823
 
2.4%
금 2123
 
1.8%
식 1886
 
1.6%
이 1852
 
1.6%
정 1809
 
1.5%
현 1763
 
1.5%
Other values (705) 91153
78.1%
Latin
ValueCountFrequency (%)
M 189
 
12.6%
S 165
 
11.0%
B 159
 
10.6%
D 152
 
10.1%
X 42
 
2.8%
O 42
 
2.8%
r 37
 
2.5%
L 37
 
2.5%
x 35
 
2.3%
t 35
 
2.3%
Other values (40) 605
40.4%
Common
ValueCountFrequency (%)
35920
28.7%
0 15314
12.2%
1 8620
 
6.9%
# 7216
 
5.8%
2 6483
 
5.2%
_ 5443
 
4.3%
3 4535
 
3.6%
/ 4409
 
3.5%
4 4269
 
3.4%
. 3866
 
3.1%
Other values (33) 29096
23.2%
Han
ValueCountFrequency (%)
必 2
40.0%
無 2
40.0%
林 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 126620
52.0%
Hangul 116700
47.9%
Compat Jamo 64
 
< 0.1%
Misc Symbols 26
 
< 0.1%
Arrows 17
 
< 0.1%
CJK 5
 
< 0.1%
Geometric Shapes 3
 
< 0.1%
Punctuation 2
 
< 0.1%
Box Drawing 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35920
28.4%
0 15314
12.1%
1 8620
 
6.8%
# 7216
 
5.7%
2 6483
 
5.1%
_ 5443
 
4.3%
3 4535
 
3.6%
/ 4409
 
3.5%
4 4269
 
3.4%
. 3866
 
3.1%
Other values (77) 30545
24.1%
Hangul
ValueCountFrequency (%)
예 3748
 
3.2%
원 3616
 
3.1%
인 3012
 
2.6%
약 2979
 
2.6%
일 2823
 
2.4%
금 2123
 
1.8%
식 1886
 
1.6%
이 1852
 
1.6%
정 1809
 
1.6%
현 1763
 
1.5%
Other values (691) 91089
78.1%
Misc Symbols
ValueCountFrequency (%)
★ 25
96.2%
☆ 1
 
3.8%
Arrows
ValueCountFrequency (%)
→ 17
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 13
20.3%
ㅠ 12
18.8%
ㄱ 8
12.5%
ㄷ 7
10.9%
ㅈ 6
9.4%
ㅎ 5
 
7.8%
ㄴ 4
 
6.2%
ㅡ 2
 
3.1%
ㅂ 2
 
3.1%
ㅔ 1
 
1.6%
Other values (4) 4
 
6.2%
Geometric Shapes
ValueCountFrequency (%)
○ 3
100.0%
CJK
ValueCountFrequency (%)
必 2
40.0%
無 2
40.0%
林 1
20.0%
Punctuation
ValueCountFrequency (%)
※ 2
100.0%
Box Drawing
ValueCountFrequency (%)
└ 1
100.0%

등록일시(RGSTN_DTM)
Date

Distinct6603
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2014-10-01 15:09:00
Maximum2021-09-08 17:02:00
2023-12-12T13:07:30.583249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:07:30.787263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

최종수정일시(LAST_UPDT_DTM)
Date

MISSING 

Distinct2029
Distinct (%)98.5%
Missing7941
Missing (%)79.4%
Memory size156.2 KiB
Minimum2016-01-11 10:08:00
Maximum2021-09-08 16:39:00
2023-12-12T13:07:30.946904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:07:31.134569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

유효여부(VLDTY_YN)
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
9983 
False
 
17
ValueCountFrequency (%)
True 9983
99.8%
False 17
 
0.2%
2023-12-12T13:07:31.288260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2023-12-12T13:07:27.067327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:07:26.742510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:07:27.210607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:07:26.892580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:07:31.374414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번참조순번(REFRN_SEQ)유효여부(VLDTY_YN)
순번1.0000.9590.105
참조순번(REFRN_SEQ)0.9591.0000.011
유효여부(VLDTY_YN)0.1050.0111.000
2023-12-12T13:07:31.518610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번참조순번(REFRN_SEQ)유효여부(VLDTY_YN)
순번1.000-0.4200.080
참조순번(REFRN_SEQ)-0.4201.0000.008
유효여부(VLDTY_YN)0.0800.0081.000

Missing values

2023-12-12T13:07:27.393325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:07:27.576440image/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.
2023-12-12T13:07:27.708424image/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

순번컬럼(한글)(컬럼(영문))참조순번(REFRN_SEQ)게시글제목(TWBBS_SUBJC)게시글내용(TWBBS_CONT)등록일시(RGSTN_DTM)최종수정일시(LAST_UPDT_DTM)유효여부(VLDTY_YN)
30923093<NA>4001우성원 2차우성원 2차2017-06-26 14:13<NA>Y
2311223113<NA>999식사메모식수 반영 완료2019-08-19 10:19<NA>Y
38473848<NA>5154정선초등학교정선초등학교2017-06-27 11:28<NA>Y
62796280<NA>0일반예약일반예약2017-08-08 13:33<NA>Y
2935429355<NA>999식사메모1차 담당: 이현지 주임님_3.17. 정선현2021-03-17 16:54<NA>Y
2552525526<NA>999식사메모2/25 A1->A2변경. 차액40_000결제완료2020-02-25 11:38<NA>Y
27232724<NA>3242에너지공단에너지공단2017-06-23 16:36<NA>Y
2325123252<NA>999식사메모손주연.(임직원할인)##식사 56_000 + 숙박 42_000 = 98_000원 현장결제##8/4 98_000 카드결제완료2019-07-31 9:482019-08-04 16:13Y
2072220723<NA>999식사메모(9.18) 박현경 78_000 입금.##입금자와 예약자 이름 달라 자동예약 취소##10/9 78_000 / 0166653362018-10-09 15:272018-10-09 15:29Y
3051530516<NA>999식사메모4/27 장호훈##바우처 카드 고객 ##객실: A1_ A2 ##홍순태 9410-8320-7015-7010 // 26년 2월2021-04-27 11:212021-04-27 11:24Y
순번컬럼(한글)(컬럼(영문))참조순번(REFRN_SEQ)게시글제목(TWBBS_SUBJC)게시글내용(TWBBS_CONT)등록일시(RGSTN_DTM)최종수정일시(LAST_UPDT_DTM)유효여부(VLDTY_YN)
2696426965<NA>999식사메모7/11(이향희) 128_000원 입금완료(입금자:양현희)2020-07-11 14:342020-07-11 14:36Y
526527<NA>1823호**호**2017-06-18 22:58<NA>Y
2203822039<NA>999식사메모4/17 바우처 카드로 결제 예정 180_000원 결제 해주세용## 1박2일로 변경하여 9만원만 결제 완료2019-04-17 13:122019-04-19 18:53Y
2920329204<NA>999식사메모유아_특성화_캠프####김지연 4. 2.####당일 저녁 식수 성인 1명 빠짐 4.2. 김지연2021-03-03 18:142021-04-02 17:41Y
65196520<NA>0일반예약일반예약2017-08-08 13:33<NA>Y
79207921<NA>7774<NA><NA>2017-09-12 10:48<NA>Y
1913619137<NA>18779예약 취소예약 취소2018-06-27 8:04<NA>Y
46324633<NA>5825새밭교회새밭교회2017-06-27 13:53<NA>Y
46694670<NA>6006치유팀가족캠프치유팀가족캠프2017-06-27 14:26<NA>Y
2277622777<NA>999식사메모산림복지 바우처 카드 소지자 현장결제예정_우상훈##7/22 현장에서 바우처 카드 결제 완료-조현솔2019-07-03 17:432019-07-22 14:21Y