Overview

Dataset statistics

Number of variables28
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.2 KiB
Average record size in memory247.3 B

Variable types

Text3
Categorical13
Numeric12

Alerts

ctprvn_nm has constant value ""Constant
ctprvn_cd has constant value ""Constant
sgnr_nm has constant value ""Constant
signgu_cd has constant value ""Constant
pop_cnt has constant value ""Constant
wnty_cnt has constant value ""Constant
seat_capa_sum has constant value ""Constant
prf_sum has constant value ""Constant
opn_sum has constant value ""Constant
stag_sum has constant value ""Constant
advtk_sum has constant value ""Constant
FILE_NAME has constant value ""Constant
base_ymd has constant value ""Constant
id has unique valuesUnique
fclt_name has unique valuesUnique
opn_cnt has 34 (34.0%) zerosZeros

Reproduction

Analysis started2023-12-10 10:13:00.943849
Analysis finished2023-12-10 10:13:01.594805
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

id
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:13:01.814440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length16
Min length16

Characters and Unicode

Total characters1600
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st rowKC486PC19N000012
2nd rowKC486PC19N000025
3rd rowKC486PC19N000446
4th rowKC486PC19N000031
5th rowKC486PC19N000036
ValueCountFrequency (%)
kc486pc19n000012 1
 
1.0%
kc486pc19n000184 1
 
1.0%
kc486pc19n000239 1
 
1.0%
kc486pc19n000452 1
 
1.0%
kc486pc19n000115 1
 
1.0%
kc486pc19n000188 1
 
1.0%
kc486pc19n000056 1
 
1.0%
kc486pc19n000071 1
 
1.0%
kc486pc19n000079 1
 
1.0%
kc486pc19n000384 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T19:13:02.427614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 362
22.6%
C 200
12.5%
1 140
 
8.8%
4 136
 
8.5%
8 120
 
7.5%
6 118
 
7.4%
9 113
 
7.1%
K 100
 
6.2%
P 100
 
6.2%
N 100
 
6.2%
Other values (4) 111
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1100
68.8%
Uppercase Letter 500
31.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 362
32.9%
1 140
 
12.7%
4 136
 
12.4%
8 120
 
10.9%
6 118
 
10.7%
9 113
 
10.3%
2 39
 
3.5%
5 32
 
2.9%
3 26
 
2.4%
7 14
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
C 200
40.0%
K 100
20.0%
P 100
20.0%
N 100
20.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1100
68.8%
Latin 500
31.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 362
32.9%
1 140
 
12.7%
4 136
 
12.4%
8 120
 
10.9%
6 118
 
10.7%
9 113
 
10.3%
2 39
 
3.5%
5 32
 
2.9%
3 26
 
2.4%
7 14
 
1.3%
Latin
ValueCountFrequency (%)
C 200
40.0%
K 100
20.0%
P 100
20.0%
N 100
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 362
22.6%
C 200
12.5%
1 140
 
8.8%
4 136
 
8.5%
8 120
 
7.5%
6 118
 
7.4%
9 113
 
7.1%
K 100
 
6.2%
P 100
 
6.2%
N 100
 
6.2%
Other values (4) 111
 
6.9%

fclt_name
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:13:02.804190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length20.5
Mean length10.76
Min length2

Characters and Unicode

Total characters1076
Distinct characters233
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

Unique100 ?
Unique (%)100.0%

Sample

1st row세종문화회관
2nd row한국문화예술위원회
3rd row상명아트센터
4th row유니플렉스
5th row대학로 드림아트센터
ValueCountFrequency (%)
대학로 14
 
7.5%
구 7
 
3.8%
익스트림씨어터 3
 
1.6%
씨어터 3
 
1.6%
예술공간 2
 
1.1%
소극장 2
 
1.1%
2관 2
 
1.1%
극장 2
 
1.1%
아트홀 2
 
1.1%
예술극장 2
 
1.1%
Other values (144) 147
79.0%
2023-12-10T19:13:03.445315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
86
 
8.0%
아 54
 
5.0%
트 51
 
4.7%
홀 44
 
4.1%
터 42
 
3.9%
( 34
 
3.2%
) 34
 
3.2%
장 33
 
3.1%
구 32
 
3.0%
극 31
 
2.9%
Other values (223) 635
59.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 841
78.2%
Space Separator 86
 
8.0%
Open Punctuation 37
 
3.4%
Close Punctuation 37
 
3.4%
Other Punctuation 31
 
2.9%
Uppercase Letter 26
 
2.4%
Decimal Number 12
 
1.1%
Lowercase Letter 6
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 54
 
6.4%
트 51
 
6.1%
홀 44
 
5.2%
터 42
 
5.0%
장 33
 
3.9%
구 32
 
3.8%
극 31
 
3.7%
어 30
 
3.6%
씨 28
 
3.3%
대 23
 
2.7%
Other values (190) 473
56.2%
Uppercase Letter
ValueCountFrequency (%)
J 5
19.2%
C 4
15.4%
S 3
11.5%
R 2
 
7.7%
K 2
 
7.7%
T 2
 
7.7%
V 1
 
3.8%
E 1
 
3.8%
Y 1
 
3.8%
H 1
 
3.8%
Other values (4) 4
15.4%
Decimal Number
ValueCountFrequency (%)
2 3
25.0%
1 3
25.0%
4 2
16.7%
3 2
16.7%
7 1
 
8.3%
6 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
g 1
16.7%
a 1
16.7%
t 1
16.7%
h 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 28
90.3%
, 2
 
6.5%
& 1
 
3.2%
Open Punctuation
ValueCountFrequency (%)
( 34
91.9%
[ 3
 
8.1%
Close Punctuation
ValueCountFrequency (%)
) 34
91.9%
] 3
 
8.1%
Space Separator
ValueCountFrequency (%)
86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 841
78.2%
Common 203
 
18.9%
Latin 32
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 54
 
6.4%
트 51
 
6.1%
홀 44
 
5.2%
터 42
 
5.0%
장 33
 
3.9%
구 32
 
3.8%
극 31
 
3.7%
어 30
 
3.6%
씨 28
 
3.3%
대 23
 
2.7%
Other values (190) 473
56.2%
Latin
ValueCountFrequency (%)
J 5
15.6%
C 4
12.5%
S 3
 
9.4%
R 2
 
6.2%
K 2
 
6.2%
T 2
 
6.2%
e 2
 
6.2%
V 1
 
3.1%
E 1
 
3.1%
Y 1
 
3.1%
Other values (9) 9
28.1%
Common
ValueCountFrequency (%)
86
42.4%
( 34
 
16.7%
) 34
 
16.7%
. 28
 
13.8%
2 3
 
1.5%
[ 3
 
1.5%
1 3
 
1.5%
] 3
 
1.5%
, 2
 
1.0%
4 2
 
1.0%
Other values (4) 5
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 841
78.2%
ASCII 235
 
21.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
86
36.6%
( 34
 
14.5%
) 34
 
14.5%
. 28
 
11.9%
J 5
 
2.1%
C 4
 
1.7%
S 3
 
1.3%
2 3
 
1.3%
[ 3
 
1.3%
1 3
 
1.3%
Other values (23) 32
 
13.6%
Hangul
ValueCountFrequency (%)
아 54
 
6.4%
트 51
 
6.1%
홀 44
 
5.2%
터 42
 
5.0%
장 33
 
3.9%
구 32
 
3.8%
극 31
 
3.7%
어 30
 
3.6%
씨 28
 
3.3%
대 23
 
2.7%
Other values (190) 473
56.2%

ctprvn_nm
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
서울특별시
100 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시 100
100.0%

Length

2023-12-10T19:13:03.686209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:13:03.852090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 100
100.0%

ctprvn_cd
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
11
100 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11
2nd row11
3rd row11
4th row11
5th row11

Common Values

ValueCountFrequency (%)
11 100
100.0%

Length

2023-12-10T19:13:04.047025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:13:04.232917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 100
100.0%

sgnr_nm
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
종로구
100 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
종로구 100
100.0%

Length

2023-12-10T19:13:04.419001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:13:04.581156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종로구 100
100.0%

signgu_cd
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
11110
100 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11110
2nd row11110
3rd row11110
4th row11110
5th row11110

Common Values

ValueCountFrequency (%)
11110 100
100.0%

Length

2023-12-10T19:13:04.771206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:13:04.937225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11110 100
100.0%

rdnm_addr
Text

Distinct89
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:13:05.420715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length29
Mean length24.33
Min length22

Characters and Unicode

Total characters2433
Distinct characters72
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)80.0%

Sample

1st row서울특별시 종로구 세종대로 175 (세종로)
2nd row서울특별시 종로구 대학로10길 17 (동숭동)
3rd row서울특별시 종로구 홍지문2길 20 (홍지동)
4th row서울특별시 종로구 대학로12길 64 (동숭동)
5th row서울특별시 종로구 동숭길 123 (동숭동)
ValueCountFrequency (%)
서울특별시 100
20.0%
종로구 100
20.0%
동숭동 55
 
11.0%
동숭길 14
 
2.8%
대학로12길 13
 
2.6%
대학로8가길 10
 
2.0%
명륜2가 9
 
1.8%
대학로10길 8
 
1.6%
이화장길 8
 
1.6%
혜화동 7
 
1.4%
Other values (124) 176
35.2%
2023-12-10T19:13:06.257175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
400
 
16.4%
로 173
 
7.1%
동 149
 
6.1%
종 103
 
4.2%
서 102
 
4.2%
구 100
 
4.1%
) 100
 
4.1%
( 100
 
4.1%
울 100
 
4.1%
시 100
 
4.1%
Other values (62) 1006
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1488
61.2%
Space Separator 400
 
16.4%
Decimal Number 332
 
13.6%
Close Punctuation 100
 
4.1%
Open Punctuation 100
 
4.1%
Dash Punctuation 13
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 173
11.6%
동 149
 
10.0%
종 103
 
6.9%
서 102
 
6.9%
구 100
 
6.7%
울 100
 
6.7%
시 100
 
6.7%
별 100
 
6.7%
특 100
 
6.7%
길 73
 
4.9%
Other values (48) 388
26.1%
Decimal Number
ValueCountFrequency (%)
1 77
23.2%
2 65
19.6%
3 35
10.5%
5 30
 
9.0%
4 29
 
8.7%
8 27
 
8.1%
0 21
 
6.3%
9 17
 
5.1%
6 16
 
4.8%
7 15
 
4.5%
Space Separator
ValueCountFrequency (%)
400
100.0%
Close Punctuation
ValueCountFrequency (%)
) 100
100.0%
Open Punctuation
ValueCountFrequency (%)
( 100
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1488
61.2%
Common 945
38.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 173
11.6%
동 149
 
10.0%
종 103
 
6.9%
서 102
 
6.9%
구 100
 
6.7%
울 100
 
6.7%
시 100
 
6.7%
별 100
 
6.7%
특 100
 
6.7%
길 73
 
4.9%
Other values (48) 388
26.1%
Common
ValueCountFrequency (%)
400
42.3%
) 100
 
10.6%
( 100
 
10.6%
1 77
 
8.1%
2 65
 
6.9%
3 35
 
3.7%
5 30
 
3.2%
4 29
 
3.1%
8 27
 
2.9%
0 21
 
2.2%
Other values (4) 61
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1488
61.2%
ASCII 945
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
400
42.3%
) 100
 
10.6%
( 100
 
10.6%
1 77
 
8.1%
2 65
 
6.9%
3 35
 
3.7%
5 30
 
3.2%
4 29
 
3.1%
8 27
 
2.9%
0 21
 
2.2%
Other values (4) 61
 
6.5%
Hangul
ValueCountFrequency (%)
로 173
11.6%
동 149
 
10.0%
종 103
 
6.9%
서 102
 
6.9%
구 100
 
6.7%
울 100
 
6.7%
시 100
 
6.7%
별 100
 
6.7%
특 100
 
6.7%
길 73
 
4.9%
Other values (48) 388
26.1%

x
Real number (ℝ)

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.581902
Minimum37.568887
Maximum37.603082
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:13:06.521944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.568887
5-th percentile37.573786
Q137.580312
median37.582284
Q337.583691
95-th percentile37.587757
Maximum37.603082
Range0.034195
Interquartile range (IQR)0.00337875

Descriptive statistics

Standard deviation0.0046327041
Coefficient of variation (CV)0.00012326955
Kurtosis5.2171792
Mean37.581902
Median Absolute Deviation (MAD)0.0016165
Skewness0.52755622
Sum3758.1902
Variance2.1461948 × 10-5
MonotonicityNot monotonic
2023-12-10T19:13:06.785081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.582292 3
 
3.0%
37.583991 3
 
3.0%
37.582986 2
 
2.0%
37.581006 2
 
2.0%
37.582276 2
 
2.0%
37.582712 2
 
2.0%
37.582709 2
 
2.0%
37.58186 2
 
2.0%
37.582478 2
 
2.0%
37.579904 2
 
2.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
37.568887 1
1.0%
37.569649 1
1.0%
37.570613 1
1.0%
37.571818 1
1.0%
37.572251 1
1.0%
37.573867 1
1.0%
37.573965 1
1.0%
37.574235 1
1.0%
37.57657 1
1.0%
37.576627 1
1.0%
ValueCountFrequency (%)
37.603082 1
1.0%
37.595747 1
1.0%
37.590535 1
1.0%
37.589941 1
1.0%
37.588697 1
1.0%
37.587707 1
1.0%
37.587705 1
1.0%
37.587215 1
1.0%
37.587125 1
1.0%
37.586863 1
1.0%

y
Real number (ℝ)

Distinct89
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.99947
Minimum126.95499
Maximum127.00527
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:13:07.045203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.95499
5-th percentile126.97574
Q1127.00028
median127.00256
Q3127.0037
95-th percentile127.00469
Maximum127.00527
Range0.05028
Interquartile range (IQR)0.003424

Descriptive statistics

Standard deviation0.0091675894
Coefficient of variation (CV)7.2186044 × 10-5
Kurtosis9.9053004
Mean126.99947
Median Absolute Deviation (MAD)0.0015875
Skewness-3.1245297
Sum12699.947
Variance8.4044695 × 10-5
MonotonicityNot monotonic
2023-12-10T19:13:07.325552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.002056 3
 
3.0%
127.002532 3
 
3.0%
127.003964 2
 
2.0%
127.002759 2
 
2.0%
127.002636 2
 
2.0%
127.002821 2
 
2.0%
127.00256 2
 
2.0%
127.003254 2
 
2.0%
127.003549 2
 
2.0%
126.975882 1
 
1.0%
Other values (79) 79
79.0%
ValueCountFrequency (%)
126.954995 1
1.0%
126.9641 1
1.0%
126.964647 1
1.0%
126.970635 1
1.0%
126.972961 1
1.0%
126.975882 1
1.0%
126.985595 1
1.0%
126.988052 1
1.0%
126.988426 1
1.0%
126.988958 1
1.0%
ValueCountFrequency (%)
127.005275 1
1.0%
127.005166 1
1.0%
127.004868 1
1.0%
127.00484 1
1.0%
127.004712 1
1.0%
127.004693 1
1.0%
127.004617 1
1.0%
127.00461 1
1.0%
127.004548 1
1.0%
127.004318 1
1.0%

seat_capa
Real number (ℝ)

Distinct73
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean353.76
Minimum100
Maximum4374
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:13:07.626559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile100
Q1138.75
median200
Q3361.75
95-th percentile963.3
Maximum4374
Range4274
Interquartile range (IQR)223

Descriptive statistics

Standard deviation511.42402
Coefficient of variation (CV)1.4456807
Kurtosis39.435367
Mean353.76
Median Absolute Deviation (MAD)73.5
Skewness5.5498492
Sum35376
Variance261554.53
MonotonicityDecreasing
2023-12-10T19:13:08.022497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 10
 
10.0%
200 4
 
4.0%
160 4
 
4.0%
130 4
 
4.0%
154 2
 
2.0%
140 2
 
2.0%
202 2
 
2.0%
270 2
 
2.0%
176 2
 
2.0%
170 2
 
2.0%
Other values (63) 66
66.0%
ValueCountFrequency (%)
100 10
10.0%
102 2
 
2.0%
110 1
 
1.0%
116 1
 
1.0%
118 1
 
1.0%
120 2
 
2.0%
123 1
 
1.0%
130 4
 
4.0%
135 1
 
1.0%
136 1
 
1.0%
ValueCountFrequency (%)
4374 1
1.0%
1829 1
1.0%
1781 1
1.0%
1100 1
1.0%
988 1
1.0%
962 1
1.0%
856 1
1.0%
852 1
1.0%
773 1
1.0%
764 1
1.0%

prf_cnt
Real number (ℝ)

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.06
Minimum1
Maximum372
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:13:08.404439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q36.25
95-th percentile10.05
Maximum372
Range371
Interquartile range (IQR)5.25

Descriptive statistics

Standard deviation40.934493
Coefficient of variation (CV)4.0690351
Kurtosis64.990679
Mean10.06
Median Absolute Deviation (MAD)2
Skewness7.7699542
Sum1006
Variance1675.6327
MonotonicityNot monotonic
2023-12-10T19:13:08.708830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 27
27.0%
4 16
16.0%
2 15
15.0%
3 10
 
10.0%
7 10
 
10.0%
10 7
 
7.0%
5 5
 
5.0%
8 2
 
2.0%
6 2
 
2.0%
372 1
 
1.0%
Other values (5) 5
 
5.0%
ValueCountFrequency (%)
1 27
27.0%
2 15
15.0%
3 10
 
10.0%
4 16
16.0%
5 5
 
5.0%
6 2
 
2.0%
7 10
 
10.0%
8 2
 
2.0%
9 1
 
1.0%
10 7
 
7.0%
ValueCountFrequency (%)
372 1
 
1.0%
168 1
 
1.0%
83 1
 
1.0%
19 1
 
1.0%
11 1
 
1.0%
10 7
7.0%
9 1
 
1.0%
8 2
 
2.0%
7 10
10.0%
6 2
 
2.0%

opn_cnt
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.07
Minimum0
Maximum368
Zeros34
Zeros (%)34.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:13:08.933481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile9
Maximum368
Range368
Interquartile range (IQR)3

Descriptive statistics

Standard deviation40.788752
Coefficient of variation (CV)5.0543683
Kurtosis64.57645
Mean8.07
Median Absolute Deviation (MAD)1
Skewness7.7512883
Sum807
Variance1663.7223
MonotonicityNot monotonic
2023-12-10T19:13:09.175433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 34
34.0%
1 25
25.0%
2 11
 
11.0%
3 9
 
9.0%
5 5
 
5.0%
6 5
 
5.0%
4 3
 
3.0%
9 2
 
2.0%
7 2
 
2.0%
368 1
 
1.0%
Other values (3) 3
 
3.0%
ValueCountFrequency (%)
0 34
34.0%
1 25
25.0%
2 11
 
11.0%
3 9
 
9.0%
4 3
 
3.0%
5 5
 
5.0%
6 5
 
5.0%
7 2
 
2.0%
9 2
 
2.0%
16 1
 
1.0%
ValueCountFrequency (%)
368 1
 
1.0%
167 1
 
1.0%
83 1
 
1.0%
16 1
 
1.0%
9 2
 
2.0%
7 2
 
2.0%
6 5
5.0%
5 5
5.0%
4 3
 
3.0%
3 9
9.0%

stag_cnt
Real number (ℝ)

Distinct84
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean227.38
Minimum1
Maximum1696
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:13:09.549824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q121.5
median93
Q3287
95-th percentile877.95
Maximum1696
Range1695
Interquartile range (IQR)265.5

Descriptive statistics

Standard deviation317.52852
Coefficient of variation (CV)1.3964663
Kurtosis5.041708
Mean227.38
Median Absolute Deviation (MAD)83
Skewness2.1465554
Sum22738
Variance100824.36
MonotonicityNot monotonic
2023-12-10T19:13:09.858363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 3
 
3.0%
1 3
 
3.0%
13 3
 
3.0%
5 2
 
2.0%
94 2
 
2.0%
10 2
 
2.0%
110 2
 
2.0%
16 2
 
2.0%
48 2
 
2.0%
3 2
 
2.0%
Other values (74) 77
77.0%
ValueCountFrequency (%)
1 3
3.0%
2 1
 
1.0%
3 2
2.0%
4 3
3.0%
5 2
2.0%
6 1
 
1.0%
7 1
 
1.0%
8 1
 
1.0%
9 1
 
1.0%
10 2
2.0%
ValueCountFrequency (%)
1696 1
1.0%
1244 1
1.0%
1070 1
1.0%
1012 1
1.0%
915 1
1.0%
876 1
1.0%
866 1
1.0%
848 1
1.0%
778 1
1.0%
737 1
1.0%

tot_advtk_cnt
Real number (ℝ)

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14763.57
Minimum-1
Maximum404566
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)1.0%
Memory size1.0 KiB
2023-12-10T19:13:10.168420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile4.95
Q1133.25
median673.5
Q34023
95-th percentile91566.7
Maximum404566
Range404567
Interquartile range (IQR)3889.75

Descriptive statistics

Standard deviation47787.33
Coefficient of variation (CV)3.2368411
Kurtosis45.783191
Mean14763.57
Median Absolute Deviation (MAD)662.5
Skewness6.1380885
Sum1476357
Variance2.2836289 × 109
MonotonicityNot monotonic
2023-12-10T19:13:10.470728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70 2
 
2.0%
94 2
 
2.0%
4 2
 
2.0%
1 2
 
2.0%
211 2
 
2.0%
404566 1
 
1.0%
1325 1
 
1.0%
18 1
 
1.0%
735 1
 
1.0%
342 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
-1 1
1.0%
1 2
2.0%
4 2
2.0%
5 1
1.0%
9 1
1.0%
10 1
1.0%
12 1
1.0%
13 1
1.0%
16 1
1.0%
18 1
1.0%
ValueCountFrequency (%)
404566 1
1.0%
147632 1
1.0%
126292 1
1.0%
118133 1
1.0%
91599 1
1.0%
91565 1
1.0%
63985 1
1.0%
47779 1
1.0%
46301 1
1.0%
43638 1
1.0%

seat_rank
Real number (ℝ)

Distinct73
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.78
Minimum1
Maximum91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:13:11.154490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.95
Q125.75
median48
Q375.25
95-th percentile91
Maximum91
Range90
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation28.183948
Coefficient of variation (CV)0.56617012
Kurtosis-1.2539965
Mean49.78
Median Absolute Deviation (MAD)25
Skewness-0.055101829
Sum4978
Variance794.33495
MonotonicityIncreasing
2023-12-10T19:13:11.413948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91 10
 
10.0%
48 4
 
4.0%
63 4
 
4.0%
79 4
 
4.0%
68 2
 
2.0%
73 2
 
2.0%
45 2
 
2.0%
33 2
 
2.0%
57 2
 
2.0%
60 2
 
2.0%
Other values (63) 66
66.0%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
91 10
10.0%
89 2
 
2.0%
88 1
 
1.0%
87 1
 
1.0%
86 1
 
1.0%
84 2
 
2.0%
83 1
 
1.0%
79 4
 
4.0%
78 1
 
1.0%
77 1
 
1.0%

prf_rank
Real number (ℝ)

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.71
Minimum1
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:13:11.652857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.95
Q126.25
median59
Q392
95-th percentile92
Maximum92
Range91
Interquartile range (IQR)65.75

Descriptive statistics

Standard deviation31.658307
Coefficient of variation (CV)0.60061291
Kurtosis-1.4456292
Mean52.71
Median Absolute Deviation (MAD)33
Skewness-0.089612582
Sum5271
Variance1002.2484
MonotonicityNot monotonic
2023-12-10T19:13:11.858474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
92 27
27.0%
38 16
16.0%
73 15
15.0%
59 10
 
10.0%
18 10
 
10.0%
6 7
 
7.0%
31 5
 
5.0%
15 2
 
2.0%
29 2
 
2.0%
1 1
 
1.0%
Other values (5) 5
 
5.0%
ValueCountFrequency (%)
1 1
 
1.0%
2 1
 
1.0%
3 1
 
1.0%
4 1
 
1.0%
5 1
 
1.0%
6 7
7.0%
14 1
 
1.0%
15 2
 
2.0%
18 10
10.0%
29 2
 
2.0%
ValueCountFrequency (%)
92 27
27.0%
73 15
15.0%
59 10
 
10.0%
38 16
16.0%
31 5
 
5.0%
29 2
 
2.0%
18 10
 
10.0%
15 2
 
2.0%
14 1
 
1.0%
6 7
 
7.0%

opn_rank
Real number (ℝ)

Distinct13
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.23
Minimum1
Maximum89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:13:12.069915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q125
median53
Q389
95-th percentile89
Maximum89
Range88
Interquartile range (IQR)64

Descriptive statistics

Standard deviation30.411606
Coefficient of variation (CV)0.58226318
Kurtosis-1.3733682
Mean52.23
Median Absolute Deviation (MAD)36
Skewness-0.038581043
Sum5223
Variance924.86576
MonotonicityNot monotonic
2023-12-10T19:13:12.298022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
89 34
34.0%
53 25
25.0%
38 11
 
11.0%
25 9
 
9.0%
16 5
 
5.0%
10 5
 
5.0%
21 3
 
3.0%
5 2
 
2.0%
8 2
 
2.0%
1 1
 
1.0%
Other values (3) 3
 
3.0%
ValueCountFrequency (%)
1 1
 
1.0%
2 1
 
1.0%
3 1
 
1.0%
4 1
 
1.0%
5 2
 
2.0%
8 2
 
2.0%
10 5
5.0%
16 5
5.0%
21 3
 
3.0%
25 9
9.0%
ValueCountFrequency (%)
89 34
34.0%
53 25
25.0%
38 11
 
11.0%
25 9
 
9.0%
21 3
 
3.0%
16 5
 
5.0%
10 5
 
5.0%
8 2
 
2.0%
5 2
 
2.0%
4 1
 
1.0%

stag_rank
Real number (ℝ)

Distinct84
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.06
Minimum1
Maximum126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:13:12.583826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.95
Q127.5
median58
Q393.5
95-th percentile121
Maximum126
Range125
Interquartile range (IQR)66

Descriptive statistics

Standard deviation37.551532
Coefficient of variation (CV)0.62523364
Kurtosis-1.1757736
Mean60.06
Median Absolute Deviation (MAD)32.5
Skewness0.1592833
Sum6006
Variance1410.1176
MonotonicityNot monotonic
2023-12-10T19:13:12.926669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
118 3
 
3.0%
126 3
 
3.0%
101 3
 
3.0%
116 2
 
2.0%
57 2
 
2.0%
105 2
 
2.0%
51 2
 
2.0%
98 2
 
2.0%
79 2
 
2.0%
121 2
 
2.0%
Other values (74) 77
77.0%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
126 3
3.0%
123 1
 
1.0%
121 2
2.0%
118 3
3.0%
116 2
2.0%
114 1
 
1.0%
112 1
 
1.0%
109 1
 
1.0%
107 1
 
1.0%
105 2
2.0%

advtk_rank
Real number (ℝ)

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.31
Minimum1
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:13:13.222018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.95
Q127.75
median56.5
Q389.25
95-th percentile122.05
Maximum128
Range127
Interquartile range (IQR)61.5

Descriptive statistics

Standard deviation37.445906
Coefficient of variation (CV)0.63135906
Kurtosis-1.1711757
Mean59.31
Median Absolute Deviation (MAD)31.5
Skewness0.19169402
Sum5931
Variance1402.1959
MonotonicityNot monotonic
2023-12-10T19:13:13.520063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 2
 
2.0%
93 2
 
2.0%
123 2
 
2.0%
125 2
 
2.0%
84 2
 
2.0%
1 1
 
1.0%
46 1
 
1.0%
111 1
 
1.0%
55 1
 
1.0%
71 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
128 1
1.0%
125 2
2.0%
123 2
2.0%
122 1
1.0%
119 1
1.0%
118 1
1.0%
116 1
1.0%
114 1
1.0%
113 1
1.0%
111 1
1.0%

pop_cnt
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
200
100 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row200
2nd row200
3rd row200
4th row200
5th row200

Common Values

ValueCountFrequency (%)
200 100
100.0%

Length

2023-12-10T19:13:13.797341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:13:13.991060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
200 100
100.0%

wnty_cnt
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
37239
100 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row37239
2nd row37239
3rd row37239
4th row37239
5th row37239

Common Values

ValueCountFrequency (%)
37239 100
100.0%

Length

2023-12-10T19:13:14.153698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:13:14.329654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
37239 100
100.0%

seat_capa_sum
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1091
100 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1091
2nd row1091
3rd row1091
4th row1091
5th row1091

Common Values

ValueCountFrequency (%)
1091 100
100.0%

Length

2023-12-10T19:13:14.512515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:13:14.809307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1091 100
100.0%

prf_sum
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
856
100 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row856
2nd row856
3rd row856
4th row856
5th row856

Common Values

ValueCountFrequency (%)
856 100
100.0%

Length

2023-12-10T19:13:14.988891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:13:15.181473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
856 100
100.0%

opn_sum
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
24914
100 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row24914
2nd row24914
3rd row24914
4th row24914
5th row24914

Common Values

ValueCountFrequency (%)
24914 100
100.0%

Length

2023-12-10T19:13:15.465893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:13:15.748834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
24914 100
100.0%

stag_sum
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1499965
100 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1499965
2nd row1499965
3rd row1499965
4th row1499965
5th row1499965

Common Values

ValueCountFrequency (%)
1499965 100
100.0%

Length

2023-12-10T19:13:15.963751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:13:16.230954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1499965 100
100.0%

advtk_sum
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
158922
100 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row158922
2nd row158922
3rd row158922
4th row158922
5th row158922

Common Values

ValueCountFrequency (%)
158922 100
100.0%

Length

2023-12-10T19:13:16.445165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:13:16.632268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
158922 100
100.0%

FILE_NAME
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
KC_613_RES_MEM_PLAY_STT_PRD_MAP_2019
100 

Length

Max length36
Median length36
Mean length36
Min length36

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKC_613_RES_MEM_PLAY_STT_PRD_MAP_2019
2nd rowKC_613_RES_MEM_PLAY_STT_PRD_MAP_2019
3rd rowKC_613_RES_MEM_PLAY_STT_PRD_MAP_2019
4th rowKC_613_RES_MEM_PLAY_STT_PRD_MAP_2019
5th rowKC_613_RES_MEM_PLAY_STT_PRD_MAP_2019

Common Values

ValueCountFrequency (%)
KC_613_RES_MEM_PLAY_STT_PRD_MAP_2019 100
100.0%

Length

2023-12-10T19:13:16.834378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:13:17.081907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kc_613_res_mem_play_stt_prd_map_2019 100
100.0%

base_ymd
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
20200221
100 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20200221
2nd row20200221
3rd row20200221
4th row20200221
5th row20200221

Common Values

ValueCountFrequency (%)
20200221 100
100.0%

Length

2023-12-10T19:13:17.293702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:13:17.516550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20200221 100
100.0%

Sample

idfclt_namectprvn_nmctprvn_cdsgnr_nmsigngu_cdrdnm_addrxyseat_capaprf_cntopn_cntstag_cnttot_advtk_cntseat_rankprf_rankopn_rankstag_rankadvtk_rankpop_cntwnty_cntseat_capa_sumprf_sumopn_sumstag_sumadvtk_sumFILE_NAMEbase_ymd
0KC486PC19N000012세종문화회관서울특별시11종로구11110서울특별시 종로구 세종대로 175 (세종로)37.572251126.9758824374372368101240456611141200372391091856249141499965158922KC_613_RES_MEM_PLAY_STT_PRD_MAP_201920200221
1KC486PC19N000025한국문화예술위원회서울특별시11종로구11110서울특별시 종로구 대학로10길 17 (동숭동)37.582036127.00316918291681678669156522276200372391091856249141499965158922KC_613_RES_MEM_PLAY_STT_PRD_MAP_201920200221
2KC486PC19N000446상명아트센터서울특별시11종로구11110서울특별시 종로구 홍지문2길 20 (홍지동)37.603082126.95499517811112503925312678200372391091856249141499965158922KC_613_RES_MEM_PLAY_STT_PRD_MAP_201920200221
3KC486PC19N000031유니플렉스서울특별시11종로구11110서울특별시 종로구 대학로12길 64 (동숭동)37.581166127.0036231100852654630141516309200372391091856249141499965158922KC_613_RES_MEM_PLAY_STT_PRD_MAP_201920200221
4KC486PC19N000036대학로 드림아트센터서울특별시11종로구11110서울특별시 종로구 동숭길 123 (동숭동)37.583289127.0032779888560634257515161412200372391091856249141499965158922KC_613_RES_MEM_PLAY_STT_PRD_MAP_201920200221
5KC486PC19N000026예스24 스테이지(구. DCF대명문화공장)서울특별시11종로구11110서울특별시 종로구 대학로12길 21 (동숭동)37.582712127.00319496210955147779665168200372391091856249141499965158922KC_613_RES_MEM_PLAY_STT_PRD_MAP_201920200221
6KC486PC19N000055JTN 아트홀(구. 대학로예술마당)서울특별시11종로구11110서울특별시 종로구 이화장길 26 (이화동)37.576627127.003909856105915143407616517200372391091856249141499965158922KC_613_RES_MEM_PLAY_STT_PRD_MAP_201920200221
7KC486PC19N000008홍익대 대학로 아트센터서울특별시11종로구11110서울특별시 종로구 대학로 57 (연건동)37.57657127.00149985210739691599868205200372391091856249141499965158922KC_613_RES_MEM_PLAY_STT_PRD_MAP_201920200221
8KC486PC19N000028대학로아트원씨어터서울특별시11종로구11110서울특별시 종로구 대학로12길 83 (동숭동)37.58025127.0039867736346034959929251711200372391091856249141499965158922KC_613_RES_MEM_PLAY_STT_PRD_MAP_201920200221
9KC486PC19N000090동숭아트센터서울특별시11종로구11110서울특별시 종로구 동숭길 122 (동숭동)37.583689127.003702764316262421059536825200372391091856249141499965158922KC_613_RES_MEM_PLAY_STT_PRD_MAP_201920200221
idfclt_namectprvn_nmctprvn_cdsgnr_nmsigngu_cdrdnm_addrxyseat_capaprf_cntopn_cntstag_cnttot_advtk_cntseat_rankprf_rankopn_rankstag_rankadvtk_rankpop_cntwnty_cntseat_capa_sumprf_sumopn_sumstag_sumadvtk_sumFILE_NAMEbase_ymd
90KC486PC19N000005삼형제극장(환상극장)서울특별시11종로구11110서울특별시 종로구 이화장길 72 (동숭동)37.578462127.004611001087613113919289618200372391091856249141499965158922KC_613_RES_MEM_PLAY_STT_PRD_MAP_201920200221
91KC486PC19N000086아름다운극장서울특별시11종로구11110서울특별시 종로구 성균관로4길 48 (명륜2가)37.58473126.99998610076568639118107251200372391091856249141499965158922KC_613_RES_MEM_PLAY_STT_PRD_MAP_201920200221
92KC486PC19N000124아트씨어터 문(안톤체홉극장)서울특별시11종로구11110서울특별시 종로구 성균관로3길 23 (명륜3가)37.583092126.99699610053914899131256063200372391091856249141499965158922KC_613_RES_MEM_PLAY_STT_PRD_MAP_201920200221
93KC486PC19N000148소극장 혜화당(구. 까망소극장)서울특별시11종로구11110서울특별시 종로구 대학로12길 63 (동숭동)37.581232127.004018100731103219118255172200372391091856249141499965158922KC_613_RES_MEM_PLAY_STT_PRD_MAP_201920200221
94KC486PC19N000191대학로 달달씨어터서울특별시11종로구11110서울특별시 종로구 대명1길 20 (명륜4가)37.582699127.00063610010502259192897580200372391091856249141499965158922KC_613_RES_MEM_PLAY_STT_PRD_MAP_201920200221
95KC486PC19N000244해바라기소극장(구. 훈아트홀)서울특별시11종로구11110서울특별시 종로구 동숭길 76 (동숭동)37.58164127.00431810030511429159897488200372391091856249141499965158922KC_613_RES_MEM_PLAY_STT_PRD_MAP_201920200221
96KC486PC19N000251예술공간 혜화서울특별시11종로구11110서울특별시 종로구 혜화로 10-3 (혜화동)37.586635127.00045910076351349118108489200372391091856249141499965158922KC_613_RES_MEM_PLAY_STT_PRD_MAP_201920200221
97KC486PC19N000287스튜디오76(구 이랑씨어터)서울특별시11종로구11110서울특별시 종로구 이화장길 99 (동숭동)37.579684127.0042651004347949138258193200372391091856249141499965158922KC_613_RES_MEM_PLAY_STT_PRD_MAP_201920200221
98KC486PC19N000336창조소극장 (구. 민아트홀)서울특별시11종로구11110서울특별시 종로구 창경궁로 259 (명륜2가)37.584559127.00003310011457919253118103200372391091856249141499965158922KC_613_RES_MEM_PLAY_STT_PRD_MAP_201920200221
99KC486PC19N000438서완소극장(구. 씨어터고리)서울특별시11종로구11110서울특별시 종로구 창경궁로34길 18-12 (명륜2가)37.584211127.00043410021616917353114113200372391091856249141499965158922KC_613_RES_MEM_PLAY_STT_PRD_MAP_201920200221