Overview

Dataset statistics

Number of variables20
Number of observations5849
Missing cells22063
Missing cells (%)18.9%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory954.0 KiB
Average record size in memory167.0 B

Variable types

Text6
Categorical3
Numeric4
Unsupported2
Boolean1
DateTime4

Dataset

Description문화행사기타명,서비스분류코드,서비스분류,자치구코드,자치구명,연령구분코드,연령구분,X좌표값,Y좌표값,우편번호,기본주소,상세주소,사용료무료여부,사용료,행사기간시작일,행사기간종료일,안내URL,행사시설명,등록일시,수정일시
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-20975/S/1/datasetView.do

Alerts

서비스분류코드 has constant value ""Constant
서비스분류 has constant value ""Constant
Dataset has 1 (< 0.1%) duplicate rowsDuplicates
자치구코드 is highly overall correlated with Y좌표값 and 2 other fieldsHigh correlation
X좌표값 is highly overall correlated with 우편번호 and 1 other fieldsHigh correlation
Y좌표값 is highly overall correlated with 자치구코드 and 1 other fieldsHigh correlation
우편번호 is highly overall correlated with 자치구코드 and 2 other fieldsHigh correlation
자치구명 is highly overall correlated with 자치구코드 and 1 other fieldsHigh correlation
연령구분코드 has 5849 (100.0%) missing valuesMissing
연령구분 has 5849 (100.0%) missing valuesMissing
X좌표값 has 193 (3.3%) missing valuesMissing
Y좌표값 has 193 (3.3%) missing valuesMissing
사용료 has 4582 (78.3%) missing valuesMissing
안내URL has 720 (12.3%) missing valuesMissing
수정일시 has 4661 (79.7%) missing valuesMissing
Y좌표값 is highly skewed (γ1 = 23.04863366)Skewed
우편번호 is highly skewed (γ1 = 22.23817711)Skewed
연령구분코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
연령구분 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-10 23:32:10.039501
Analysis finished2024-05-10 23:32:20.848409
Duration10.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

문화행사기타명
Text

Distinct5683
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size45.8 KiB
2024-05-10T23:32:21.356121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length96
Median length60
Mean length29.071294
Min length4

Characters and Unicode

Total characters170038
Distinct characters1161
Distinct categories18 ?
Distinct scripts4 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5574 ?
Unique (%)95.3%

Sample

1st row종이로만든세상
2nd row콘타모 공룡 우든페이퍼-스테고사우르스(17~19년생, 성인)
3rd row클레이아트-공룡 나라(17~19년생, 성인)
4th row상상샘 키즈 자연박물관-아기별똥별과 바람 놀이터(20년생이상,성인)B
5th row조물조물 흙놀이-알록달록 부엉이(17~19년생, 성인)
ValueCountFrequency (%)
588
 
1.9%
노원구 502
 
1.6%
안내 461
 
1.5%
2023 286
 
0.9%
프로그램 285
 
0.9%
2023년 248
 
0.8%
중랑구 230
 
0.7%
함께하는 220
 
0.7%
만들기 218
 
0.7%
모집 216
 
0.7%
Other values (10974) 27704
89.5%
2024-05-10T23:32:22.453479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25760
 
15.1%
] 4993
 
2.9%
[ 4989
 
2.9%
이 2844
 
1.7%
구 2786
 
1.6%
2 2441
 
1.4%
아 2084
 
1.2%
서 2062
 
1.2%
1 2054
 
1.2%
) 1813
 
1.1%
Other values (1151) 118212
69.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 110820
65.2%
Space Separator 25760
 
15.1%
Decimal Number 9599
 
5.6%
Close Punctuation 6930
 
4.1%
Open Punctuation 6923
 
4.1%
Other Punctuation 3226
 
1.9%
Uppercase Letter 1955
 
1.1%
Math Symbol 1646
 
1.0%
Lowercase Letter 1561
 
0.9%
Dash Punctuation 1134
 
0.7%
Other values (8) 484
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2844
 
2.6%
구 2786
 
2.5%
아 2084
 
1.9%
서 2062
 
1.9%
동 1757
 
1.6%
관 1711
 
1.5%
월 1580
 
1.4%
기 1563
 
1.4%
원 1560
 
1.4%
도 1477
 
1.3%
Other values (1035) 91396
82.5%
Uppercase Letter
ValueCountFrequency (%)
D 281
14.4%
P 243
12.4%
Y 239
12.2%
A 146
 
7.5%
B 111
 
5.7%
O 94
 
4.8%
S 88
 
4.5%
E 81
 
4.1%
I 78
 
4.0%
M 75
 
3.8%
Other values (16) 519
26.5%
Lowercase Letter
ValueCountFrequency (%)
e 177
11.3%
o 175
11.2%
a 145
 
9.3%
i 128
 
8.2%
t 121
 
7.8%
r 120
 
7.7%
n 96
 
6.1%
l 74
 
4.7%
k 67
 
4.3%
s 60
 
3.8%
Other values (14) 398
25.5%
Other Punctuation
ValueCountFrequency (%)
' 1108
34.3%
, 456
14.1%
! 396
 
12.3%
/ 364
 
11.3%
: 342
 
10.6%
. 298
 
9.2%
& 110
 
3.4%
? 102
 
3.2%
* 20
 
0.6%
% 8
 
0.2%
Other values (8) 22
 
0.7%
Decimal Number
ValueCountFrequency (%)
2 2441
25.4%
1 2054
21.4%
0 1385
14.4%
3 1205
12.6%
7 570
 
5.9%
6 454
 
4.7%
9 427
 
4.4%
8 369
 
3.8%
4 351
 
3.7%
5 343
 
3.6%
Close Punctuation
ValueCountFrequency (%)
] 4993
72.0%
) 1813
 
26.2%
」 95
 
1.4%
』 16
 
0.2%
} 6
 
0.1%
） 4
 
0.1%
〉 3
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
[ 4989
72.1%
( 1812
 
26.2%
「 95
 
1.4%
『 16
 
0.2%
（ 5
 
0.1%
{ 3
 
< 0.1%
〈 3
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 607
36.9%
< 503
30.6%
> 502
30.5%
+ 19
 
1.2%
= 8
 
0.5%
| 4
 
0.2%
× 3
 
0.2%
Other Symbol
ValueCountFrequency (%)
★ 17
89.5%
□ 1
 
5.3%
☆ 1
 
5.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
50.0%
Ⅰ 4
40.0%
Ⅳ 1
 
10.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 37
90.2%
“ 4
 
9.8%
Final Punctuation
ValueCountFrequency (%)
’ 36
90.0%
” 4
 
10.0%
Other Number
ValueCountFrequency (%)
② 25
51.0%
① 24
49.0%
Space Separator
ValueCountFrequency (%)
25760
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1134
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 264
100.0%
Control
ValueCountFrequency (%)
53
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 110742
65.1%
Common 55692
32.8%
Latin 3526
 
2.1%
Han 78
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2844
 
2.6%
구 2786
 
2.5%
아 2084
 
1.9%
서 2062
 
1.9%
동 1757
 
1.6%
관 1711
 
1.5%
월 1580
 
1.4%
기 1563
 
1.4%
원 1560
 
1.4%
도 1477
 
1.3%
Other values (995) 91318
82.5%
Common
ValueCountFrequency (%)
25760
46.3%
] 4993
 
9.0%
[ 4989
 
9.0%
2 2441
 
4.4%
1 2054
 
3.7%
) 1813
 
3.3%
( 1812
 
3.3%
0 1385
 
2.5%
3 1205
 
2.2%
- 1134
 
2.0%
Other values (53) 8106
 
14.6%
Latin
ValueCountFrequency (%)
D 281
 
8.0%
P 243
 
6.9%
Y 239
 
6.8%
e 177
 
5.0%
o 175
 
5.0%
A 146
 
4.1%
a 145
 
4.1%
i 128
 
3.6%
t 121
 
3.4%
r 120
 
3.4%
Other values (43) 1751
49.7%
Han
ValueCountFrequency (%)
展 11
 
14.1%
洞 6
 
7.7%
林 4
 
5.1%
愛 4
 
5.1%
夜 4
 
5.1%
理 3
 
3.8%
想 3
 
3.8%
屋 3
 
3.8%
韓 3
 
3.8%
家 2
 
2.6%
Other values (30) 35
44.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 110738
65.1%
ASCII 58800
34.6%
None 257
 
0.2%
Punctuation 83
 
< 0.1%
CJK 75
 
< 0.1%
Enclosed Alphanum 49
 
< 0.1%
Misc Symbols 18
 
< 0.1%
Number Forms 10
 
< 0.1%
Compat Jamo 4
 
< 0.1%
CJK Compat Ideographs 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25760
43.8%
] 4993
 
8.5%
[ 4989
 
8.5%
2 2441
 
4.2%
1 2054
 
3.5%
) 1813
 
3.1%
( 1812
 
3.1%
0 1385
 
2.4%
3 1205
 
2.0%
- 1134
 
1.9%
Other values (79) 11214
19.1%
Hangul
ValueCountFrequency (%)
이 2844
 
2.6%
구 2786
 
2.5%
아 2084
 
1.9%
서 2062
 
1.9%
동 1757
 
1.6%
관 1711
 
1.5%
월 1580
 
1.4%
기 1563
 
1.4%
원 1560
 
1.4%
도 1477
 
1.3%
Other values (992) 91314
82.5%
None
ValueCountFrequency (%)
」 95
37.0%
「 95
37.0%
』 16
 
6.2%
『 16
 
6.2%
＇ 8
 
3.1%
（ 5
 
1.9%
） 4
 
1.6%
＊ 4
 
1.6%
？ 3
 
1.2%
× 3
 
1.2%
Other values (3) 8
 
3.1%
Punctuation
ValueCountFrequency (%)
‘ 37
44.6%
’ 36
43.4%
“ 4
 
4.8%
” 4
 
4.8%
… 1
 
1.2%
※ 1
 
1.2%
Enclosed Alphanum
ValueCountFrequency (%)
② 25
51.0%
① 24
49.0%
Misc Symbols
ValueCountFrequency (%)
★ 17
94.4%
☆ 1
 
5.6%
CJK
ValueCountFrequency (%)
展 11
 
14.7%
洞 6
 
8.0%
林 4
 
5.3%
愛 4
 
5.3%
夜 4
 
5.3%
理 3
 
4.0%
想 3
 
4.0%
屋 3
 
4.0%
韓 3
 
4.0%
家 2
 
2.7%
Other values (28) 32
42.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
50.0%
Ⅰ 4
40.0%
Ⅳ 1
 
10.0%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 2
66.7%
茶 1
33.3%
Compat Jamo
ValueCountFrequency (%)
ㄱ 2
50.0%
ㅂ 1
25.0%
ㅈ 1
25.0%
Geometric Shapes
ValueCountFrequency (%)
□ 1
100.0%

서비스분류코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size45.8 KiB
2001
5849 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2001
2nd row2001
3rd row2001
4th row2001
5th row2001

Common Values

ValueCountFrequency (%)
2001 5849
100.0%

Length

2024-05-10T23:32:23.227860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:32:23.571680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2001 5849
100.0%

서비스분류
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size45.8 KiB
문화행사(보육반장)
5849 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row문화행사(보육반장)
2nd row문화행사(보육반장)
3rd row문화행사(보육반장)
4th row문화행사(보육반장)
5th row문화행사(보육반장)

Common Values

ValueCountFrequency (%)
문화행사(보육반장) 5849
100.0%

Length

2024-05-10T23:32:24.122324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:32:24.562885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문화행사(보육반장 5849
100.0%

자치구코드
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11401.163
Minimum11110
Maximum11740
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size51.5 KiB
2024-05-10T23:32:24.883028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11110
5-th percentile11140
Q111230
median11350
Q311560
95-th percentile11710
Maximum11740
Range630
Interquartile range (IQR)330

Descriptive statistics

Standard deviation180.57553
Coefficient of variation (CV)0.015838344
Kurtosis-1.1323838
Mean11401.163
Median Absolute Deviation (MAD)135
Skewness0.22613734
Sum66685400
Variance32607.523
MonotonicityNot monotonic
2024-05-10T23:32:25.278289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
11350 746
12.8%
11650 512
 
8.8%
11230 507
 
8.7%
11140 492
 
8.4%
11215 473
 
8.1%
11560 438
 
7.5%
11500 267
 
4.6%
11740 258
 
4.4%
11260 253
 
4.3%
11440 234
 
4.0%
Other values (15) 1669
28.5%
ValueCountFrequency (%)
11110 83
 
1.4%
11140 492
8.4%
11170 58
 
1.0%
11200 63
 
1.1%
11215 473
8.1%
11230 507
8.7%
11260 253
4.3%
11290 22
 
0.4%
11305 138
 
2.4%
11320 152
 
2.6%
ValueCountFrequency (%)
11740 258
4.4%
11710 100
 
1.7%
11680 55
 
0.9%
11650 512
8.8%
11620 65
 
1.1%
11590 98
 
1.7%
11560 438
7.5%
11545 221
3.8%
11530 158
 
2.7%
11500 267
4.6%

자치구명
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size45.8 KiB
노원구
746 
서초구
512 
동대문구
507 
중구
492 
광진구
473 
Other values (20)
3119 

Length

Max length4
Median length3
Mean length3.0942041
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row구로구
2nd row중구
3rd row중구
4th row중구
5th row중구

Common Values

ValueCountFrequency (%)
노원구 746
12.8%
서초구 512
 
8.8%
동대문구 507
 
8.7%
중구 492
 
8.4%
광진구 473
 
8.1%
영등포구 438
 
7.5%
강서구 267
 
4.6%
강동구 258
 
4.4%
중랑구 253
 
4.3%
마포구 234
 
4.0%
Other values (15) 1669
28.5%

Length

2024-05-10T23:32:25.722217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
노원구 746
12.8%
서초구 512
 
8.8%
동대문구 507
 
8.7%
중구 492
 
8.4%
광진구 473
 
8.1%
영등포구 438
 
7.5%
강서구 267
 
4.6%
강동구 258
 
4.4%
중랑구 253
 
4.3%
마포구 234
 
4.0%
Other values (15) 1669
28.5%

연령구분코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5849
Missing (%)100.0%
Memory size51.5 KiB

연령구분
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5849
Missing (%)100.0%
Memory size51.5 KiB

X좌표값
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct1004
Distinct (%)17.8%
Missing193
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean127.00176
Minimum122.91297
Maximum127.38793
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size51.5 KiB
2024-05-10T23:32:26.179776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum122.91297
5-th percentile126.85319
Q1126.91992
median127.02221
Q3127.07242
95-th percentile127.12248
Maximum127.38793
Range4.4749598
Interquartile range (IQR)0.1525

Descriptive statistics

Standard deviation0.10139367
Coefficient of variation (CV)0.00079836424
Kurtosis466.21858
Mean127.00176
Median Absolute Deviation (MAD)0.05971
Skewness-11.776849
Sum718321.98
Variance0.010280676
MonotonicityNot monotonic
2024-05-10T23:32:26.715931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.89595 162
 
2.8%
127.08446 132
 
2.3%
127.08323 83
 
1.4%
126.9947 77
 
1.3%
127.02146 67
 
1.1%
127.05992 57
 
1.0%
127.0399 57
 
1.0%
126.98111 56
 
1.0%
127.03143 55
 
0.9%
127.05038 55
 
0.9%
Other values (994) 4855
83.0%
(Missing) 193
 
3.3%
ValueCountFrequency (%)
122.91297017375864 1
< 0.1%
126.8060082959113 1
< 0.1%
126.80601398113872 1
< 0.1%
126.80607613030575 1
< 0.1%
126.80609590401836 1
< 0.1%
126.80670532292248 1
< 0.1%
126.80854418732991 1
< 0.1%
126.80862 1
< 0.1%
126.80924455697372 1
< 0.1%
126.81374239994932 1
< 0.1%
ValueCountFrequency (%)
127.38793 2
< 0.1%
127.18001 1
< 0.1%
127.17532496275234 1
< 0.1%
127.17522592146068 1
< 0.1%
127.1752231875687 1
< 0.1%
127.17521003801583 1
< 0.1%
127.17444296438283 1
< 0.1%
127.17423 1
< 0.1%
127.17398168143224 1
< 0.1%
127.17395881224864 1
< 0.1%

Y좌표값
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED 

Distinct1001
Distinct (%)17.7%
Missing193
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean37.560858
Minimum37.414833
Maximum41.464855
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size51.5 KiB
2024-05-10T23:32:27.316274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.414833
5-th percentile37.470123
Q137.51598
median37.56089
Q337.594215
95-th percentile37.65598
Maximum41.464855
Range4.0500227
Interquartile range (IQR)0.078235

Descriptive statistics

Standard deviation0.077150592
Coefficient of variation (CV)0.0020540157
Kurtosis1158.9998
Mean37.560858
Median Absolute Deviation (MAD)0.0418
Skewness23.048634
Sum212444.21
Variance0.0059522139
MonotonicityNot monotonic
2024-05-10T23:32:27.849638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.5017 162
 
2.8%
37.56506 132
 
2.3%
37.55955 77
 
1.3%
37.67293 76
 
1.3%
37.57085 67
 
1.1%
37.64436 57
 
1.0%
37.5744 57
 
1.0%
37.56089 56
 
1.0%
37.48642 55
 
0.9%
37.57319 55
 
0.9%
Other values (991) 4862
83.1%
(Missing) 193
 
3.3%
ValueCountFrequency (%)
37.41483253429276 1
 
< 0.1%
37.43866 18
0.3%
37.44642 4
 
0.1%
37.44936 43
0.7%
37.44958 9
 
0.2%
37.45071 1
 
< 0.1%
37.45072 3
 
0.1%
37.45082 1
 
< 0.1%
37.45106 3
 
0.1%
37.45127 2
 
< 0.1%
ValueCountFrequency (%)
41.464855265634185 1
 
< 0.1%
38.06753 2
 
< 0.1%
37.72584 1
 
< 0.1%
37.69078 4
0.1%
37.68976 1
 
< 0.1%
37.68767 8
0.1%
37.68753 1
 
< 0.1%
37.68728719595015 1
 
< 0.1%
37.68728 1
 
< 0.1%
37.68171 1
 
< 0.1%

우편번호
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct670
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4754.3804
Minimum1005
Maximum153010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size51.5 KiB
2024-05-10T23:32:28.449259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1005
5-th percentile1604
Q12529
median4626
Q36799
95-th percentile8375
Maximum153010
Range152005
Interquartile range (IQR)4270

Descriptive statistics

Standard deviation3438.5258
Coefficient of variation (CV)0.72323322
Kurtosis901.93026
Mean4754.3804
Median Absolute Deviation (MAD)2118
Skewness22.238177
Sum27808371
Variance11823460
MonotonicityNot monotonic
2024-05-10T23:32:29.032681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7377 165
 
2.8%
4933 136
 
2.3%
1770 95
 
1.6%
4572 88
 
1.5%
4626 84
 
1.4%
4530 81
 
1.4%
1633 76
 
1.3%
5398 67
 
1.1%
6655 65
 
1.1%
2596 61
 
1.0%
Other values (660) 4931
84.3%
ValueCountFrequency (%)
1005 1
 
< 0.1%
1016 1
 
< 0.1%
1031 2
 
< 0.1%
1036 13
0.2%
1064 24
0.4%
1073 1
 
< 0.1%
1114 2
 
< 0.1%
1127 12
0.2%
1133 3
 
0.1%
1145 8
 
0.1%
ValueCountFrequency (%)
153010 1
 
< 0.1%
131200 1
 
< 0.1%
13306 1
 
< 0.1%
12997 1
 
< 0.1%
11520 1
 
< 0.1%
11110 2
 
< 0.1%
8861 1
 
< 0.1%
8859 7
 
0.1%
8832 2
 
< 0.1%
8761 55
0.9%

기본주소
Text

Distinct804
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Memory size45.8 KiB
2024-05-10T23:32:29.997802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length23
Mean length18.804069
Min length14

Characters and Unicode

Total characters109985
Distinct characters251
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique312 ?
Unique (%)5.3%

Sample

1st row서울특별시 구로구 오리로 1352
2nd row서울특별시 중구 소공로 63
3rd row서울특별시 중구 소공로 63
4th row서울특별시 중구 소공로 63
5th row서울특별시 중구 소공로 63
ValueCountFrequency (%)
서울특별시 5839
24.9%
노원구 742
 
3.2%
서초구 513
 
2.2%
동대문구 508
 
2.2%
중구 494
 
2.1%
광진구 473
 
2.0%
영등포구 438
 
1.9%
강서구 268
 
1.1%
강동구 257
 
1.1%
중랑구 251
 
1.1%
Other values (1019) 13621
58.2%
2024-05-10T23:32:31.560711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17558
16.0%
서 7062
 
6.4%
로 6073
 
5.5%
구 6068
 
5.5%
시 6067
 
5.5%
울 5913
 
5.4%
별 5839
 
5.3%
특 5839
 
5.3%
1 4052
 
3.7%
길 3215
 
2.9%
Other values (241) 42299
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71420
64.9%
Decimal Number 20407
 
18.6%
Space Separator 17558
 
16.0%
Dash Punctuation 596
 
0.5%
Other Punctuation 2
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 7062
 
9.9%
로 6073
 
8.5%
구 6068
 
8.5%
시 6067
 
8.5%
울 5913
 
8.3%
별 5839
 
8.2%
특 5839
 
8.2%
길 3215
 
4.5%
동 1605
 
2.2%
대 1198
 
1.7%
Other values (225) 22541
31.6%
Decimal Number
ValueCountFrequency (%)
1 4052
19.9%
2 2525
12.4%
3 2179
10.7%
0 2138
10.5%
4 2123
10.4%
6 1749
8.6%
5 1635
8.0%
7 1611
 
7.9%
9 1252
 
6.1%
8 1143
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
17558
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 596
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71420
64.9%
Common 38565
35.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 7062
 
9.9%
로 6073
 
8.5%
구 6068
 
8.5%
시 6067
 
8.5%
울 5913
 
8.3%
별 5839
 
8.2%
특 5839
 
8.2%
길 3215
 
4.5%
동 1605
 
2.2%
대 1198
 
1.7%
Other values (225) 22541
31.6%
Common
ValueCountFrequency (%)
17558
45.5%
1 4052
 
10.5%
2 2525
 
6.5%
3 2179
 
5.7%
0 2138
 
5.5%
4 2123
 
5.5%
6 1749
 
4.5%
5 1635
 
4.2%
7 1611
 
4.2%
9 1252
 
3.2%
Other values (6) 1743
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71420
64.9%
ASCII 38565
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17558
45.5%
1 4052
 
10.5%
2 2525
 
6.5%
3 2179
 
5.7%
0 2138
 
5.5%
4 2123
 
5.5%
6 1749
 
4.5%
5 1635
 
4.2%
7 1611
 
4.2%
9 1252
 
3.2%
Other values (6) 1743
 
4.5%
Hangul
ValueCountFrequency (%)
서 7062
 
9.9%
로 6073
 
8.5%
구 6068
 
8.5%
시 6067
 
8.5%
울 5913
 
8.3%
별 5839
 
8.2%
특 5839
 
8.2%
길 3215
 
4.5%
동 1605
 
2.2%
대 1198
 
1.7%
Other values (225) 22541
31.6%

상세주소
Text

Distinct1528
Distinct (%)26.2%
Missing16
Missing (%)0.3%
Memory size45.8 KiB
2024-05-10T23:32:32.439560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length38
Mean length12.580662
Min length2

Characters and Unicode

Total characters73383
Distinct characters486
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique930 ?
Unique (%)15.9%

Sample

1st row (궁동)
2nd row (충무로1가)
3rd row (충무로1가)
4th row (충무로1가)
5th row (충무로1가)
ValueCountFrequency (%)
3층 361
 
3.0%
상계동 319
 
2.6%
2층 289
 
2.4%
1층 226
 
1.9%
중계동 218
 
1.8%
대림동 195
 
1.6%
4층 189
 
1.6%
서초동 188
 
1.6%
중곡동 168
 
1.4%
답십리동 142
 
1.2%
Other values (1554) 9823
81.1%
2024-05-10T23:32:34.105966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8314
 
11.3%
동 6352
 
8.7%
) 5895
 
8.0%
( 5894
 
8.0%
관 1352
 
1.8%
층 1305
 
1.8%
서 1301
 
1.8%
터 1292
 
1.8%
원 1196
 
1.6%
센 1135
 
1.5%
Other values (476) 39347
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50205
68.4%
Space Separator 8314
 
11.3%
Close Punctuation 5895
 
8.0%
Open Punctuation 5894
 
8.0%
Decimal Number 2313
 
3.2%
Other Punctuation 430
 
0.6%
Uppercase Letter 291
 
0.4%
Math Symbol 13
 
< 0.1%
Lowercase Letter 13
 
< 0.1%
Dash Punctuation 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 6352
 
12.7%
관 1352
 
2.7%
층 1305
 
2.6%
서 1301
 
2.6%
터 1292
 
2.6%
원 1196
 
2.4%
센 1135
 
2.3%
아 1091
 
2.2%
구 1030
 
2.1%
지 967
 
1.9%
Other values (438) 33184
66.1%
Decimal Number
ValueCountFrequency (%)
1 656
28.4%
3 586
25.3%
2 574
24.8%
4 262
 
11.3%
5 74
 
3.2%
0 51
 
2.2%
7 43
 
1.9%
6 36
 
1.6%
8 16
 
0.7%
9 15
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
D 77
26.5%
Y 75
25.8%
P 75
25.8%
B 40
13.7%
F 10
 
3.4%
C 8
 
2.7%
M 2
 
0.7%
L 2
 
0.7%
A 1
 
0.3%
H 1
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
s 3
23.1%
h 3
23.1%
c 2
15.4%
e 2
15.4%
k 1
 
7.7%
b 1
 
7.7%
t 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 393
91.4%
. 31
 
7.2%
/ 3
 
0.7%
' 2
 
0.5%
? 1
 
0.2%
Space Separator
ValueCountFrequency (%)
8314
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5895
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5894
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Control
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50205
68.4%
Common 22874
31.2%
Latin 304
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 6352
 
12.7%
관 1352
 
2.7%
층 1305
 
2.6%
서 1301
 
2.6%
터 1292
 
2.6%
원 1196
 
2.4%
센 1135
 
2.3%
아 1091
 
2.2%
구 1030
 
2.1%
지 967
 
1.9%
Other values (438) 33184
66.1%
Common
ValueCountFrequency (%)
8314
36.3%
) 5895
25.8%
( 5894
25.8%
1 656
 
2.9%
3 586
 
2.6%
2 574
 
2.5%
, 393
 
1.7%
4 262
 
1.1%
5 74
 
0.3%
0 51
 
0.2%
Other values (11) 175
 
0.8%
Latin
ValueCountFrequency (%)
D 77
25.3%
Y 75
24.7%
P 75
24.7%
B 40
13.2%
F 10
 
3.3%
C 8
 
2.6%
s 3
 
1.0%
h 3
 
1.0%
c 2
 
0.7%
e 2
 
0.7%
Other values (7) 9
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50205
68.4%
ASCII 23178
31.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8314
35.9%
) 5895
25.4%
( 5894
25.4%
1 656
 
2.8%
3 586
 
2.5%
2 574
 
2.5%
, 393
 
1.7%
4 262
 
1.1%
D 77
 
0.3%
Y 75
 
0.3%
Other values (28) 452
 
2.0%
Hangul
ValueCountFrequency (%)
동 6352
 
12.7%
관 1352
 
2.7%
층 1305
 
2.6%
서 1301
 
2.6%
터 1292
 
2.6%
원 1196
 
2.4%
센 1135
 
2.3%
아 1091
 
2.2%
구 1030
 
2.1%
지 967
 
1.9%
Other values (438) 33184
66.1%

사용료무료여부
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
True
4577 
False
1272 
ValueCountFrequency (%)
True 4577
78.3%
False 1272
 
21.7%
2024-05-10T23:32:34.557461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

사용료
Text

MISSING 

Distinct89
Distinct (%)7.0%
Missing4582
Missing (%)78.3%
Memory size45.8 KiB
2024-05-10T23:32:35.595897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.7056038
Min length1

Characters and Unicode

Total characters7229
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)2.1%

Sample

1st row15,000
2nd row10,000
3rd row15,000
4th row10,000
5th row10,000
ValueCountFrequency (%)
10,000 189
14.9%
20,000 117
 
9.2%
5,000 101
 
8.0%
30,000 86
 
6.8%
2,000 73
 
5.8%
15,000 56
 
4.4%
8,000 53
 
4.2%
90,000 50
 
3.9%
1,000 48
 
3.8%
3,000 40
 
3.2%
Other values (79) 454
35.8%
2024-05-10T23:32:36.497868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4364
60.4%
, 1252
 
17.3%
1 421
 
5.8%
5 323
 
4.5%
2 288
 
4.0%
3 185
 
2.6%
8 104
 
1.4%
4 83
 
1.1%
9 82
 
1.1%
6 67
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5977
82.7%
Other Punctuation 1252
 
17.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4364
73.0%
1 421
 
7.0%
5 323
 
5.4%
2 288
 
4.8%
3 185
 
3.1%
8 104
 
1.7%
4 83
 
1.4%
9 82
 
1.4%
6 67
 
1.1%
7 60
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 1252
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7229
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4364
60.4%
, 1252
 
17.3%
1 421
 
5.8%
5 323
 
4.5%
2 288
 
4.0%
3 185
 
2.6%
8 104
 
1.4%
4 83
 
1.1%
9 82
 
1.1%
6 67
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7229
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4364
60.4%
, 1252
 
17.3%
1 421
 
5.8%
5 323
 
4.5%
2 288
 
4.0%
3 185
 
2.6%
8 104
 
1.4%
4 83
 
1.1%
9 82
 
1.1%
6 67
 
0.9%

행사기간시작일
Date

Distinct297
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size45.8 KiB
Minimum2023-01-01 00:00:00
Maximum2024-03-06 00:00:00
2024-05-10T23:32:37.029898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:32:37.624795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

행사기간종료일
Date

Distinct312
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size45.8 KiB
Minimum2023-05-04 00:00:00
Maximum2025-02-28 00:00:00
2024-05-10T23:32:38.076214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:32:38.567222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

안내URL
Text

MISSING 

Distinct3954
Distinct (%)77.1%
Missing720
Missing (%)12.3%
Memory size45.8 KiB
2024-05-10T23:32:39.433629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length405
Median length191
Mean length84.985377
Min length7

Characters and Unicode

Total characters435890
Distinct characters84
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3740 ?
Unique (%)72.9%

Sample

1st rowhttps://www.shinsegae.com/culture/academy/lecture.do?app=&tapCode=
2nd rowhttps://www.shinsegae.com/culture/academy/lecture.do?app=&tapCode=
3rd rowhttps://www.shinsegae.com/culture/academy/lecture.do?app=&tapCode=
4th rowhttps://www.shinsegae.com/culture/academy/lecture.do?app=&tapCode=
5th rowhttps://www.shinsegae.com/culture/academy/lecture.do?app=&tapCode=
ValueCountFrequency (%)
https://www.cultureclub.emart.com/catalogue 90
 
1.7%
https://www.shinsegae.com/culture/academy/lecture.do?app=&tapcode 80
 
1.6%
https://www.jnccic.or.kr 55
 
1.1%
https://band.us/band/84348283 49
 
1.0%
https://www.hanokmaeul.or.kr/ko/g/perf/category/982,983,984 48
 
0.9%
https://seochowomen.kr/seocho/index.do 45
 
0.9%
https://www.nwscc.or.kr:46627/new/study/care.php#content_top 43
 
0.8%
https://www.gdkids.or.kr 40
 
0.8%
https://www.dsnfilmart.or.kr/sub06/sub08.php 33
 
0.6%
https://cafe.naver.com/papermuseum 32
 
0.6%
Other values (3936) 4634
90.0%
2024-05-10T23:32:40.989603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 28416
 
6.5%
/ 25405
 
5.8%
t 24798
 
5.7%
r 20345
 
4.7%
o 19569
 
4.5%
. 17894
 
4.1%
s 16379
 
3.8%
a 15048
 
3.5%
w 14371
 
3.3%
d 14161
 
3.2%
Other values (74) 239504
54.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 278866
64.0%
Other Punctuation 65611
 
15.1%
Decimal Number 51599
 
11.8%
Uppercase Letter 21912
 
5.0%
Math Symbol 12856
 
2.9%
Connector Punctuation 4372
 
1.0%
Dash Punctuation 551
 
0.1%
Space Separator 100
 
< 0.1%
Modifier Symbol 18
 
< 0.1%
Other Letter 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 28416
 
10.2%
t 24798
 
8.9%
r 20345
 
7.3%
o 19569
 
7.0%
s 16379
 
5.9%
a 15048
 
5.4%
w 14371
 
5.2%
d 14161
 
5.1%
p 13936
 
5.0%
c 13190
 
4.7%
Other values (16) 98653
35.4%
Uppercase Letter
ValueCountFrequency (%)
C 3075
14.0%
E 1853
 
8.5%
D 1833
 
8.4%
N 1683
 
7.7%
I 1577
 
7.2%
P 1347
 
6.1%
S 1218
 
5.6%
B 1175
 
5.4%
T 1059
 
4.8%
L 1016
 
4.6%
Other values (16) 6076
27.7%
Other Punctuation
ValueCountFrequency (%)
/ 25405
38.7%
. 17894
27.3%
& 9367
 
14.3%
: 5290
 
8.1%
% 3976
 
6.1%
? 3439
 
5.2%
# 129
 
0.2%
, 98
 
0.1%
; 6
 
< 0.1%
？ 6
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
0 10816
21.0%
1 8209
15.9%
2 7685
14.9%
3 5074
9.8%
4 3920
 
7.6%
5 3496
 
6.8%
8 3421
 
6.6%
9 3241
 
6.3%
6 3115
 
6.0%
7 2622
 
5.1%
Other Letter
ValueCountFrequency (%)
지 2
40.0%
홈 1
20.0%
페 1
20.0%
이 1
20.0%
Math Symbol
ValueCountFrequency (%)
= 12796
99.5%
| 38
 
0.3%
+ 22
 
0.2%
Connector Punctuation
ValueCountFrequency (%)
_ 4372
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 551
100.0%
Space Separator
ValueCountFrequency (%)
100
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 300778
69.0%
Common 135107
31.0%
Hangul 5
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 28416
 
9.4%
t 24798
 
8.2%
r 20345
 
6.8%
o 19569
 
6.5%
s 16379
 
5.4%
a 15048
 
5.0%
w 14371
 
4.8%
d 14161
 
4.7%
p 13936
 
4.6%
c 13190
 
4.4%
Other values (42) 120565
40.1%
Common
ValueCountFrequency (%)
/ 25405
18.8%
. 17894
13.2%
= 12796
9.5%
0 10816
 
8.0%
& 9367
 
6.9%
1 8209
 
6.1%
2 7685
 
5.7%
: 5290
 
3.9%
3 5074
 
3.8%
_ 4372
 
3.2%
Other values (18) 28199
20.9%
Hangul
ValueCountFrequency (%)
지 2
40.0%
홈 1
20.0%
페 1
20.0%
이 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 435879
> 99.9%
None 6
 
< 0.1%
Hangul 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 28416
 
6.5%
/ 25405
 
5.8%
t 24798
 
5.7%
r 20345
 
4.7%
o 19569
 
4.5%
. 17894
 
4.1%
s 16379
 
3.8%
a 15048
 
3.5%
w 14371
 
3.3%
d 14161
 
3.2%
Other values (69) 239493
54.9%
None
ValueCountFrequency (%)
？ 6
100.0%
Hangul
ValueCountFrequency (%)
지 2
40.0%
홈 1
20.0%
페 1
20.0%
이 1
20.0%

행사시설명
Text

Distinct1244
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Memory size45.8 KiB
2024-05-10T23:32:41.909840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length8.7185844
Min length1

Characters and Unicode

Total characters50995
Distinct characters448
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique643 ?
Unique (%)11.0%

Sample

1st row궁동어린이도서관
2nd row신세계 아카데미
3rd row신세계 아카데미
4th row신세계 아카데미
5th row신세계 아카데미
ValueCountFrequency (%)
ydp미래평생학습관 164
 
2.2%
광진구육아종합지원센터 135
 
1.8%
서초여성가족플라자 109
 
1.5%
문화센터 90
 
1.2%
남산 84
 
1.1%
한옥마을 84
 
1.1%
가족센터 84
 
1.1%
신세계 81
 
1.1%
아카데미 81
 
1.1%
동대문구육아종합지원센터 76
 
1.0%
Other values (1288) 6385
86.6%
2024-05-10T23:32:43.327607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 2428
 
4.8%
서 2421
 
4.7%
터 2212
 
4.3%
센 2059
 
4.0%
구 2038
 
4.0%
도 1783
 
3.5%
1724
 
3.4%
원 1529
 
3.0%
아 1360
 
2.7%
지 1318
 
2.6%
Other values (438) 32123
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48106
94.3%
Space Separator 1724
 
3.4%
Uppercase Letter 690
 
1.4%
Decimal Number 267
 
0.5%
Close Punctuation 72
 
0.1%
Open Punctuation 72
 
0.1%
Lowercase Letter 34
 
0.1%
Other Punctuation 23
 
< 0.1%
Control 3
 
< 0.1%
Dash Punctuation 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 2428
 
5.0%
서 2421
 
5.0%
터 2212
 
4.6%
센 2059
 
4.3%
구 2038
 
4.2%
도 1783
 
3.7%
원 1529
 
3.2%
아 1360
 
2.8%
지 1318
 
2.7%
육 1191
 
2.5%
Other values (395) 29767
61.9%
Uppercase Letter
ValueCountFrequency (%)
D 246
35.7%
P 215
31.2%
Y 195
28.3%
E 11
 
1.6%
H 11
 
1.6%
B 7
 
1.0%
M 2
 
0.3%
S 1
 
0.1%
C 1
 
0.1%
O 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
o 8
23.5%
m 5
14.7%
h 3
 
8.8%
z 3
 
8.8%
s 3
 
8.8%
r 3
 
8.8%
e 3
 
8.8%
y 2
 
5.9%
b 2
 
5.9%
a 2
 
5.9%
Decimal Number
ValueCountFrequency (%)
2 81
30.3%
1 74
27.7%
3 47
17.6%
4 44
16.5%
5 8
 
3.0%
6 4
 
1.5%
0 3
 
1.1%
8 3
 
1.1%
7 3
 
1.1%
Other Punctuation
ValueCountFrequency (%)
, 12
52.2%
' 4
 
17.4%
! 3
 
13.0%
/ 2
 
8.7%
& 2
 
8.7%
Close Punctuation
ValueCountFrequency (%)
) 45
62.5%
] 27
37.5%
Open Punctuation
ValueCountFrequency (%)
( 45
62.5%
[ 27
37.5%
Space Separator
ValueCountFrequency (%)
1724
100.0%
Control
ValueCountFrequency (%)
3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48106
94.3%
Common 2165
 
4.2%
Latin 724
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 2428
 
5.0%
서 2421
 
5.0%
터 2212
 
4.6%
센 2059
 
4.3%
구 2038
 
4.2%
도 1783
 
3.7%
원 1529
 
3.2%
아 1360
 
2.8%
지 1318
 
2.7%
육 1191
 
2.5%
Other values (395) 29767
61.9%
Common
ValueCountFrequency (%)
1724
79.6%
2 81
 
3.7%
1 74
 
3.4%
3 47
 
2.2%
) 45
 
2.1%
( 45
 
2.1%
4 44
 
2.0%
] 27
 
1.2%
[ 27
 
1.2%
, 12
 
0.6%
Other values (13) 39
 
1.8%
Latin
ValueCountFrequency (%)
D 246
34.0%
P 215
29.7%
Y 195
26.9%
E 11
 
1.5%
H 11
 
1.5%
o 8
 
1.1%
B 7
 
1.0%
m 5
 
0.7%
h 3
 
0.4%
z 3
 
0.4%
Other values (10) 20
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48106
94.3%
ASCII 2887
 
5.7%
Punctuation 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 2428
 
5.0%
서 2421
 
5.0%
터 2212
 
4.6%
센 2059
 
4.3%
구 2038
 
4.2%
도 1783
 
3.7%
원 1529
 
3.2%
아 1360
 
2.8%
지 1318
 
2.7%
육 1191
 
2.5%
Other values (395) 29767
61.9%
ASCII
ValueCountFrequency (%)
1724
59.7%
D 246
 
8.5%
P 215
 
7.4%
Y 195
 
6.8%
2 81
 
2.8%
1 74
 
2.6%
3 47
 
1.6%
) 45
 
1.6%
( 45
 
1.6%
4 44
 
1.5%
Other values (31) 171
 
5.9%
Punctuation
ValueCountFrequency (%)
‘ 1
50.0%
’ 1
50.0%

등록일시
Date

Distinct5844
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size45.8 KiB
Minimum2023-05-03 04:16:47
Maximum2023-12-31 23:39:25
2024-05-10T23:32:43.950656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:32:44.450372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수정일시
Date

MISSING 

Distinct1187
Distinct (%)99.9%
Missing4661
Missing (%)79.7%
Memory size45.8 KiB
Minimum2023-05-03 07:27:49
Maximum2024-02-15 17:19:48
2024-05-10T23:32:44.860908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:32:45.482002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-05-10T23:32:17.944257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:32:14.220037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:32:15.556817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:32:16.732369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:32:18.237517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:32:14.471295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:32:15.830834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:32:17.026256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:32:18.515233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:32:14.727994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:32:16.099758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:32:17.314431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:32:18.746498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:32:15.014924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:32:16.383368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:32:17.648602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-10T23:32:45.830348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자치구코드자치구명X좌표값Y좌표값우편번호사용료무료여부사용료
자치구코드1.0001.0000.7670.0000.0500.5360.769
자치구명1.0001.0000.8510.0060.0000.5220.807
X좌표값0.7670.8511.0000.9430.0000.0210.442
Y좌표값0.0000.0060.9431.0000.0000.0000.000
우편번호0.0500.0000.0000.0001.0000.000NaN
사용료무료여부0.5360.5220.0210.0000.0001.0001.000
사용료0.7690.8070.4420.000NaN1.0001.000
2024-05-10T23:32:46.328968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사용료무료여부자치구명
사용료무료여부1.0000.453
자치구명0.4531.000
2024-05-10T23:32:46.704510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자치구코드X좌표값Y좌표값우편번호자치구명사용료무료여부
자치구코드1.000-0.244-0.5440.5490.9990.417
X좌표값-0.2441.0000.380-0.5280.6750.035
Y좌표값-0.5440.3801.000-0.9090.0030.000
우편번호0.549-0.528-0.9091.0000.0000.000
자치구명0.9990.6750.0030.0001.0000.453
사용료무료여부0.4170.0350.0000.0000.4531.000

Missing values

2024-05-10T23:32:19.307901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-10T23:32:20.116610image/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.
2024-05-10T23:32:20.604542image/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

문화행사기타명서비스분류코드서비스분류자치구코드자치구명연령구분코드연령구분X좌표값Y좌표값우편번호기본주소상세주소사용료무료여부사용료행사기간시작일행사기간종료일안내URL행사시설명등록일시수정일시
0종이로만든세상2001문화행사(보육반장)11530구로구<NA><NA>126.8292637.502218249서울특별시 구로구 오리로 1352(궁동)Y<NA>2024-01-272024-02-03<NA>궁동어린이도서관2023-12-31 23:39:25.02024-02-15 15:15:40.0
1콘타모 공룡 우든페이퍼-스테고사우르스(17~19년생, 성인)2001문화행사(보육반장)11140중구<NA><NA>126.9811537.560934530서울특별시 중구 소공로 63(충무로1가)N15,0002024-02-182024-02-18https://www.shinsegae.com/culture/academy/lecture.do?app=&tapCode=신세계 아카데미2023-12-31 18:59:34.0<NA>
2클레이아트-공룡 나라(17~19년생, 성인)2001문화행사(보육반장)11140중구<NA><NA>126.9811537.560934530서울특별시 중구 소공로 63(충무로1가)N10,0002024-01-282024-01-28https://www.shinsegae.com/culture/academy/lecture.do?app=&tapCode=신세계 아카데미2023-12-31 18:56:08.0<NA>
3상상샘 키즈 자연박물관-아기별똥별과 바람 놀이터(20년생이상,성인)B2001문화행사(보육반장)11140중구<NA><NA>126.9811537.560934530서울특별시 중구 소공로 63(충무로1가)N15,0002024-01-282024-01-28https://www.shinsegae.com/culture/academy/lecture.do?app=&tapCode=신세계 아카데미2023-12-31 18:52:42.0<NA>
4조물조물 흙놀이-알록달록 부엉이(17~19년생, 성인)2001문화행사(보육반장)11140중구<NA><NA>126.9811537.560934530서울특별시 중구 소공로 63(충무로1가)N10,0002024-01-212024-01-21https://www.shinsegae.com/culture/academy/lecture.do?app=&tapCode=신세계 아카데미2023-12-31 18:49:31.0<NA>
5올바른 양치방법, 탈인형극-출동! 반짝반짝 이닦기2001문화행사(보육반장)11140중구<NA><NA>126.9811537.560934530서울특별시 중구 소공로 63(충무로1가)N10,0002024-01-142024-01-14https://www.shinsegae.com/culture/academy/lecture.do?app=&tapCode=신세계 아카데미2023-12-31 18:45:51.0<NA>
6식습관, 탈인형극-출동! 건강한 응가맨2001문화행사(보육반장)11140중구<NA><NA>126.9811537.560934530서울특별시 중구 소공로 63(충무로1가)N10,0002024-01-142024-01-14https://www.shinsegae.com/culture/academy/lecture.do?app=&tapCode=신세계 아카데미2023-12-31 18:42:18.0<NA>
7[북스타트 후속 프로그램]<오늘은 뻥튀기 먹는 날>2001문화행사(보육반장)11320도봉구<NA><NA>127.0437937.644681485서울특별시 도봉구 덕릉로 315(창동)Y<NA>2024-01-112024-01-11https://www.unilib.dobong.kr/edusat/view.do?edu_idx=4302&prepage=%2Fedusat%2Flist.do%3Fsh_ct_idx%3D0도봉문화정보도서관2023-12-29 23:58:17.02024-02-15 15:16:30.0
8[북스타트 후속 프로그램]<우리 놀이 우리 문화>2001문화행사(보육반장)11320도봉구<NA><NA>127.0437937.644681485서울특별시 도봉구 덕릉로 315(창동)Y<NA>2024-01-252024-01-25https://www.unilib.dobong.kr/edusat/view.do?edu_idx=4303&prepage=%2Fedusat%2Flist.do%3Fsh_ct_idx%3D0도봉문화정보도서관2023-12-29 23:47:46.0<NA>
9클로버 부모-자녀체험활동(주말 명륜동 편)2001문화행사(보육반장)11110종로구<NA><NA>126.997837.583443073서울특별시 종로구 성균관로1길 6-3. (명륜3가)Y<NA>2024-01-272024-01-27https://www.jnccic.or.kr종로구육아종합지원센터 4층 교육실2023-12-29 23:35:27.02023-12-29 23:36:52.0
문화행사기타명서비스분류코드서비스분류자치구코드자치구명연령구분코드연령구분X좌표값Y좌표값우편번호기본주소상세주소사용료무료여부사용료행사기간시작일행사기간종료일안내URL행사시설명등록일시수정일시
5839[광진구]가정의달 현장 참여 프로그램 안내2001문화행사(보육반장)11215광진구<NA><NA>127.0753537.555494995서울특별시 광진구 면목로 13군자동도서관 (군자동)Y<NA>2023-05-062023-05-07https://www.gwangjinlib.seoul.kr/gunja/eventDetail.do?programTypeCd=news&eventIdx=8350군자동도서관2023-05-03 09:13:02.0<NA>
5840[광진구]빛그림동화 상영회2001문화행사(보육반장)11215광진구<NA><NA>127.0776737.529225110서울특별시 광진구 뚝섬로52길 66자양한강도서관 (자양동)Y<NA>2023-05-142023-05-14https://www.gwangjinlib.seoul.kr/jyriver/menu/11130/program/30242/lectureDetail.do?currentPageNo=1&lectureIdx=8066자양한강도서관2023-05-03 09:10:55.0<NA>
5841[광진구]친환경 가족 액자 만들기2001문화행사(보육반장)11215광진구<NA><NA>127.0776737.529225110서울특별시 광진구 뚝섬로52길 66자양한강도서관 (자양동)Y<NA>2023-05-212023-05-21https://www.gwangjinlib.seoul.kr/jyriver/menu/11130/program/30242/lectureDetail.do?currentPageNo=1&lectureIdx=8067자양한강도서관2023-05-03 09:08:59.0<NA>
5842[광진구] 서울상상나라 개관 10주년 인스타그램 이벤트 안내2001문화행사(보육반장)11215광진구<NA><NA>127.0787937.552024991서울특별시 광진구 능동로 216서울상상나라 (능동)Y<NA>2023-05-022023-05-08https://www.instagram.com/seoulchildrensmuseum/서울상상나라2023-05-03 09:07:08.0<NA>
58435월 자전거 이동수리(상일2동)2001문화행사(보육반장)11740강동구<NA><NA>127.1738937.5555085285서울특별시 강동구 상일로12길 60능골근린공원 내 에너지 마루 (상일동)Y<NA>2023-05-162023-05-16https://www.gangdong.go.kr/web/newportal/bbs/b_068/138214?cp=2&pageSize=20&sortOrder=BA_REGDATE&sortDirection=DESC&bcId=b_068&baNotice=false&baCommSelec=false&baOpenDay=true&baUse=true자전거 종합서비스 센터2023-05-03 07:24:59.0<NA>
58445월 자전거 이동수리 일정(상일1동)2001문화행사(보육반장)11740강동구<NA><NA>127.168337.550585276서울특별시 강동구 구천면로 633상일 (상일동)Y<NA>2023-05-122023-05-12http://www.gangdong.go.kr/web/newportal/bbs/b_068/138214강동구 자전거 종합서비스센터2023-05-03 07:18:03.02023-05-03 07:27:49.0
5845둔촌도서관 부모 마음 인문학 <나에게 선물하는 시간>2001문화행사(보육반장)11740강동구<NA><NA>127.1481637.531795368서울특별시 강동구 동남로49길 21-8둔촌도서관 (둔촌동)Y<NA>2023-05-122023-06-16https://www.gdlibrary.or.kr/web/menu/10107/bbs/20004/bbsPostDetail.do?currentPageNo=2&searchCategory=&manageCd=ALL&postIdx=41104둔촌도서관2023-05-03 07:06:29.0<NA>
58466월 한밤의 공연 산책 <만보와 별별머리>2001문화행사(보육반장)11740강동구<NA><NA>127.1574737.551185278서울특별시 강동구 동남로 870강동아트센터 (상일동)N20,0002023-06-302023-06-30http://www.gdfac.or.kr/web/lay2/program/S1T204C211/show/view.do?show_seq=1944&cpage=1&rows=999&keyword=&place=&start_dt=&end_dt=강동아트센터2023-05-03 04:37:12.0<NA>
5847오물조물 내가 만드는 뮤지컬2001문화행사(보육반장)11740강동구<NA><NA>127.1574737.551185278서울특별시 강동구 동남로 870강동아트센터 (상일동)Y<NA>2023-05-202023-06-18http://www.gdfac.or.kr/web/lay2/program/S1T435C470/culture/view.do?business_seq=51&cpage=1&rows=10&keyword=&place=&business_start_dt=&business_end_dt=강동아트센터2023-05-03 04:25:22.0<NA>
5848고양이를 그린 화가 <루이스 웨인展>2001문화행사(보육반장)11740강동구<NA><NA>127.1574737.551185278서울특별시 강동구 동남로 870강동아트센터 (상일동)N12,0002023-06-132023-08-31http://www.gdfac.or.kr/web/lay2/program/S1T204C211/show/view.do?show_seq=1943&cpage=1&rows=999&keyword=&place=&start_dt=&end_dt=강동아트센터2023-05-03 04:16:47.0<NA>

Duplicate rows

Most frequently occurring

문화행사기타명서비스분류코드서비스분류자치구코드자치구명X좌표값Y좌표값우편번호기본주소상세주소사용료무료여부사용료행사기간시작일행사기간종료일안내URL행사시설명등록일시수정일시# duplicates
0영어그림책 함께 읽기 참가자 모집2001문화행사(보육반장)11530구로구126.8530737.505328239서울특별시 구로구 고척로45길 311층 어린이자료실 내 아기랑 책이랑 (고척동)Y<NA>2023-08-052023-09-16<NA>고척도서관2023-07-18 13:17:23.0<NA>2