Overview

Dataset statistics

Number of variables6
Number of observations1060
Missing cells15
Missing cells (%)0.2%
Duplicate rows2
Duplicate rows (%)0.2%
Total size in memory51.9 KiB
Average record size in memory50.1 B

Variable types

Categorical1
Text2
DateTime1
Numeric2

Dataset

Description서울특별시 종로구 주민자치회관 회의록에 관한 자료이며 자치회관명, 회의주제, 시간, 장소 등에 관한 데이터를 포함하고 있습니다.
Author서울특별시 종로구
URLhttps://www.data.go.kr/data/15067818/fileData.do

Alerts

Dataset has 2 (0.2%) duplicate rowsDuplicates
참석인원 is highly overall correlated with 불참석인원High correlation
불참석인원 is highly overall correlated with 참석인원High correlation
장소 has 15 (1.4%) missing valuesMissing
참석인원 has 55 (5.2%) zerosZeros
불참석인원 has 43 (4.1%) zerosZeros

Reproduction

Analysis started2023-12-12 17:50:13.578011
Analysis finished2023-12-12 17:50:15.186278
Duration1.61 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자치회관
Categorical

Distinct17
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
창신1동
77 
창신3동
75 
무악동
72 
창신2동
71 
숭인2동
71 
Other values (12)
694 

Length

Max length7
Median length3
Mean length3.8584906
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row창신1동
2nd row청운효자동
3rd row청운효자동
4th row청운효자동
5th row사직동

Common Values

ValueCountFrequency (%)
창신1동 77
 
7.3%
창신3동 75
 
7.1%
무악동 72
 
6.8%
창신2동 71
 
6.7%
숭인2동 71
 
6.7%
삼청동 68
 
6.4%
가회동 68
 
6.4%
종로1~4가동 68
 
6.4%
평창동 64
 
6.0%
사직동 61
 
5.8%
Other values (7) 365
34.4%

Length

2023-12-13T02:50:15.318153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
창신1동 77
 
7.3%
창신3동 75
 
7.1%
무악동 72
 
6.8%
창신2동 71
 
6.7%
숭인2동 71
 
6.7%
삼청동 68
 
6.4%
가회동 68
 
6.4%
종로1~4가동 68
 
6.4%
평창동 64
 
6.0%
사직동 61
 
5.8%
Other values (7) 365
34.4%

회의주제
Text

Distinct932
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
2023-12-13T02:50:15.729151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length29
Mean length20.70283
Min length7

Characters and Unicode

Total characters21945
Distinct characters140
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

Unique848 ?
Unique (%)80.0%

Sample

1st row주민자치회의 3월
2nd row2016년1월 청운효자동 주민자치위원회 임시회
3rd row청운효자동 주민자치위원회 1월 정기회
4th row청운효자동 주민자치위원회 2월 정기회
5th row2016년 2월 사직동 주민자치위원회 월례회의
ValueCountFrequency (%)
주민자치위원회 534
 
12.7%
월례회의 469
 
11.2%
회의록 186
 
4.4%
2018년 174
 
4.1%
회의 142
 
3.4%
2017년 125
 
3.0%
2019년 124
 
2.9%
주민자치 115
 
2.7%
11월 92
 
2.2%
1월 83
 
2.0%
Other values (270) 2161
51.4%
2023-12-13T02:50:16.339998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3225
 
14.7%
회 2061
 
9.4%
월 1448
 
6.6%
1 1142
 
5.2%
의 1062
 
4.8%
2 966
 
4.4%
자 878
 
4.0%
원 850
 
3.9%
주 831
 
3.8%
민 829
 
3.8%
Other values (130) 8653
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14152
64.5%
Decimal Number 4127
 
18.8%
Space Separator 3225
 
14.7%
Open Punctuation 148
 
0.7%
Close Punctuation 148
 
0.7%
Other Punctuation 145
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 2061
14.6%
월 1448
 
10.2%
의 1062
 
7.5%
자 878
 
6.2%
원 850
 
6.0%
주 831
 
5.9%
민 829
 
5.9%
치 820
 
5.8%
위 801
 
5.7%
례 625
 
4.4%
Other values (115) 3947
27.9%
Decimal Number
ValueCountFrequency (%)
1 1142
27.7%
2 966
23.4%
0 821
19.9%
9 253
 
6.1%
8 245
 
5.9%
7 223
 
5.4%
6 195
 
4.7%
3 101
 
2.4%
5 97
 
2.4%
4 84
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 144
99.3%
, 1
 
0.7%
Space Separator
ValueCountFrequency (%)
3225
100.0%
Open Punctuation
ValueCountFrequency (%)
( 148
100.0%
Close Punctuation
ValueCountFrequency (%)
) 148
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14152
64.5%
Common 7793
35.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 2061
14.6%
월 1448
 
10.2%
의 1062
 
7.5%
자 878
 
6.2%
원 850
 
6.0%
주 831
 
5.9%
민 829
 
5.9%
치 820
 
5.8%
위 801
 
5.7%
례 625
 
4.4%
Other values (115) 3947
27.9%
Common
ValueCountFrequency (%)
3225
41.4%
1 1142
 
14.7%
2 966
 
12.4%
0 821
 
10.5%
9 253
 
3.2%
8 245
 
3.1%
7 223
 
2.9%
6 195
 
2.5%
( 148
 
1.9%
) 148
 
1.9%
Other values (5) 427
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14152
64.5%
ASCII 7793
35.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3225
41.4%
1 1142
 
14.7%
2 966
 
12.4%
0 821
 
10.5%
9 253
 
3.2%
8 245
 
3.1%
7 223
 
2.9%
6 195
 
2.5%
( 148
 
1.9%
) 148
 
1.9%
Other values (5) 427
 
5.5%
Hangul
ValueCountFrequency (%)
회 2061
14.6%
월 1448
 
10.2%
의 1062
 
7.5%
자 878
 
6.2%
원 850
 
6.0%
주 831
 
5.9%
민 829
 
5.9%
치 820
 
5.8%
위 801
 
5.7%
례 625
 
4.4%
Other values (115) 3947
27.9%

시간
Date

Distinct620
Distinct (%)58.5%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
Minimum2016-01-06 00:00:00
Maximum2021-06-24 00:00:00
2023-12-13T02:50:16.562165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:50:16.767967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

장소
Text

MISSING 

Distinct337
Distinct (%)32.2%
Missing15
Missing (%)1.4%
Memory size8.4 KiB
2023-12-13T02:50:17.135561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length23
Mean length11.734928
Min length2

Characters and Unicode

Total characters12263
Distinct characters265
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique202 ?
Unique (%)19.3%

Sample

1st row3층 다목적실
2nd row주민센터3층 강당
3rd row청운효자동주민센터3층 강당
4th row청운효자동주민센터 3층 강당
5th row사직동자치회관 2층 강당
ValueCountFrequency (%)
3층 315
 
10.9%
2층 306
 
10.5%
주민센터 297
 
10.2%
회의실 268
 
9.2%
강당 180
 
6.2%
다목적실 144
 
5.0%
4층 92
 
3.2%
5층 51
 
1.8%
동주민센터 50
 
1.7%
삼청동주민센터 49
 
1.7%
Other values (273) 1149
39.6%
2023-12-13T02:50:17.770123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1904
 
15.5%
층 863
 
7.0%
동 645
 
5.3%
주 642
 
5.2%
민 637
 
5.2%
실 614
 
5.0%
터 610
 
5.0%
센 610
 
5.0%
2 444
 
3.6%
회 409
 
3.3%
Other values (255) 4885
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9041
73.7%
Space Separator 1904
 
15.5%
Decimal Number 1164
 
9.5%
Other Punctuation 62
 
0.5%
Uppercase Letter 29
 
0.2%
Open Punctuation 23
 
0.2%
Close Punctuation 23
 
0.2%
Lowercase Letter 16
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 863
 
9.5%
동 645
 
7.1%
주 642
 
7.1%
민 637
 
7.0%
실 614
 
6.8%
터 610
 
6.7%
센 610
 
6.7%
회 409
 
4.5%
의 361
 
4.0%
강 316
 
3.5%
Other values (218) 3334
36.9%
Lowercase Letter
ValueCountFrequency (%)
o 3
18.8%
m 2
12.5%
e 2
12.5%
n 1
 
6.2%
g 1
 
6.2%
i 1
 
6.2%
t 1
 
6.2%
d 1
 
6.2%
u 1
 
6.2%
l 1
 
6.2%
Other values (2) 2
12.5%
Decimal Number
ValueCountFrequency (%)
2 444
38.1%
3 408
35.1%
1 128
 
11.0%
4 120
 
10.3%
5 55
 
4.7%
6 4
 
0.3%
0 2
 
0.2%
9 2
 
0.2%
8 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
B 11
37.9%
O 6
20.7%
M 3
 
10.3%
Z 3
 
10.3%
W 2
 
6.9%
A 2
 
6.9%
Q 1
 
3.4%
S 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 50
80.6%
, 12
 
19.4%
Open Punctuation
ValueCountFrequency (%)
( 22
95.7%
[ 1
 
4.3%
Close Punctuation
ValueCountFrequency (%)
) 22
95.7%
] 1
 
4.3%
Space Separator
ValueCountFrequency (%)
1904
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9040
73.7%
Common 3177
 
25.9%
Latin 45
 
0.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 863
 
9.5%
동 645
 
7.1%
주 642
 
7.1%
민 637
 
7.0%
실 614
 
6.8%
터 610
 
6.7%
센 610
 
6.7%
회 409
 
4.5%
의 361
 
4.0%
강 316
 
3.5%
Other values (217) 3333
36.9%
Latin
ValueCountFrequency (%)
B 11
24.4%
O 6
13.3%
o 3
 
6.7%
M 3
 
6.7%
Z 3
 
6.7%
m 2
 
4.4%
e 2
 
4.4%
W 2
 
4.4%
A 2
 
4.4%
Q 1
 
2.2%
Other values (10) 10
22.2%
Common
ValueCountFrequency (%)
1904
59.9%
2 444
 
14.0%
3 408
 
12.8%
1 128
 
4.0%
4 120
 
3.8%
5 55
 
1.7%
. 50
 
1.6%
( 22
 
0.7%
) 22
 
0.7%
, 12
 
0.4%
Other values (7) 12
 
0.4%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9040
73.7%
ASCII 3222
 
26.3%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1904
59.1%
2 444
 
13.8%
3 408
 
12.7%
1 128
 
4.0%
4 120
 
3.7%
5 55
 
1.7%
. 50
 
1.6%
( 22
 
0.7%
) 22
 
0.7%
, 12
 
0.4%
Other values (27) 57
 
1.8%
Hangul
ValueCountFrequency (%)
층 863
 
9.5%
동 645
 
7.1%
주 642
 
7.1%
민 637
 
7.0%
실 614
 
6.8%
터 610
 
6.7%
센 610
 
6.7%
회 409
 
4.5%
의 361
 
4.0%
강 316
 
3.5%
Other values (217) 3333
36.9%
CJK
ValueCountFrequency (%)
內 1
100.0%

참석인원
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct33
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.728302
Minimum0
Maximum41
Zeros55
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size9.4 KiB
2023-12-13T02:50:17.942774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median14
Q317
95-th percentile21
Maximum41
Range41
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.2040949
Coefficient of variation (CV)0.48742519
Kurtosis-0.071914514
Mean12.728302
Median Absolute Deviation (MAD)4
Skewness-0.24398173
Sum13492
Variance38.490794
MonotonicityNot monotonic
2023-12-13T02:50:18.099679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
15 100
 
9.4%
16 99
 
9.3%
14 96
 
9.1%
17 73
 
6.9%
4 71
 
6.7%
13 63
 
5.9%
5 61
 
5.8%
18 59
 
5.6%
19 56
 
5.3%
0 55
 
5.2%
Other values (23) 327
30.8%
ValueCountFrequency (%)
0 55
5.2%
1 2
 
0.2%
2 1
 
0.1%
3 11
 
1.0%
4 71
6.7%
5 61
5.8%
6 48
4.5%
7 25
 
2.4%
8 23
 
2.2%
9 10
 
0.9%
ValueCountFrequency (%)
41 1
 
0.1%
35 1
 
0.1%
33 1
 
0.1%
32 1
 
0.1%
29 2
 
0.2%
27 2
 
0.2%
26 1
 
0.1%
25 3
 
0.3%
24 5
0.5%
23 10
0.9%

불참석인원
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct38
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.237736
Minimum0
Maximum41
Zeros43
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size9.4 KiB
2023-12-13T02:50:18.296134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median8
Q314
95-th percentile25
Maximum41
Range41
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.3859021
Coefficient of variation (CV)0.72143901
Kurtosis1.5087675
Mean10.237736
Median Absolute Deviation (MAD)3
Skewness1.2514904
Sum10852
Variance54.551549
MonotonicityNot monotonic
2023-12-13T02:50:18.509651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
5 93
 
8.8%
7 93
 
8.8%
6 88
 
8.3%
8 85
 
8.0%
9 83
 
7.8%
4 72
 
6.8%
10 58
 
5.5%
11 49
 
4.6%
3 47
 
4.4%
20 46
 
4.3%
Other values (28) 346
32.6%
ValueCountFrequency (%)
0 43
4.1%
1 12
 
1.1%
2 26
 
2.5%
3 47
4.4%
4 72
6.8%
5 93
8.8%
6 88
8.3%
7 93
8.8%
8 85
8.0%
9 83
7.8%
ValueCountFrequency (%)
41 1
 
0.1%
39 1
 
0.1%
38 2
 
0.2%
36 2
 
0.2%
35 1
 
0.1%
34 8
0.8%
33 5
0.5%
32 5
0.5%
31 2
 
0.2%
30 4
0.4%

Interactions

2023-12-13T02:50:14.705467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:50:14.077348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:50:14.814955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:50:14.596890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:50:18.642185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자치회관참석인원불참석인원
자치회관1.0000.4690.613
참석인원0.4691.0000.819
불참석인원0.6130.8191.000
2023-12-13T02:50:18.780009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
참석인원불참석인원자치회관
참석인원1.000-0.6410.202
불참석인원-0.6411.0000.290
자치회관0.2020.2901.000

Missing values

2023-12-13T02:50:14.986782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:50:15.124455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

자치회관회의주제시간장소참석인원불참석인원
0창신1동주민자치회의 3월2016-03-023층 다목적실196
1청운효자동2016년1월 청운효자동 주민자치위원회 임시회2016-01-07주민센터3층 강당192
2청운효자동청운효자동 주민자치위원회 1월 정기회2016-01-14청운효자동주민센터3층 강당165
3청운효자동청운효자동 주민자치위원회 2월 정기회2016-02-16청운효자동주민센터 3층 강당174
4사직동2016년 2월 사직동 주민자치위원회 월례회의2016-02-16사직동자치회관 2층 강당176
5창신3동2016년 3월 주민자치 월례회의록2016-03-033층 다목적실129
6사직동2016년 1월 사직동 주민자치위원회 월례회의2016-01-19사직동 자치회관 2층176
7무악동무악동 3월 주민자치위원회 월례회의2016-03-11무악동 2층 제2강의실116
8숭인1동2016년 3월 주민자치위원회 회의록2016-03-105층 대강의실165
9혜화동혜화동 3월 주민자치월례회의2016-03-072층 혜화홀185
자치회관회의주제시간장소참석인원불참석인원
1050창신3동2021년 5월 분과회의(공동체분과)2021-05-26창신3동 주민센터 3층 다목적실434
1051창신3동2021년 5월 임원회의2021-05-27창신3동 주민센터 3층 다목적실632
1052창신3동2021년 총회준비위원회 1차 회의2021-06-02주민센터 3층 다목적실731
1053이화동2021년 5월 주민자치위원회 서면심의2021-05-28마을문고193
1054종로5~6가동2021년 6월 주민자치 임시회의 회의록2021-06-17동주민센터 4층 강당1114
1055사직동2021년 6월 사직동주민자치위원회 월례회의2021-06-18사직동주민센터 강당158
1056교남동2021년 6월 주민자치위원회 월례회의2021-06-24주민센터 4층 강당169
1057창신3동2021년 총회준비위원회 2차 회의2021-06-17창신3동 주민센터 3층 다목적실1028
1058청운효자동2021년 6월 주민자치 영상회의 회의록2021-06-21온라인(ZOOM) 영상회의1211
1059삼청동2021년 6월 주민자치위원회 임시회의2021-06-21삼청동주민센터 2층 강당619

Duplicate rows

Most frequently occurring

자치회관회의주제시간장소참석인원불참석인원# duplicates
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1사직동주민자치위원회 3월 월례회의2019-03-19주민센터 2층 강당14102