Overview

Dataset statistics

Number of variables12
Number of observations10000
Missing cells3026
Missing cells (%)2.5%
Duplicate rows3
Duplicate rows (%)< 0.1%
Total size in memory1015.6 KiB
Average record size in memory104.0 B

Variable types

Text6
DateTime2
Categorical4

Dataset

Description민방위훈련 관련 일정, 시청각자료 등 제공
Author행정안전부
URLhttps://www.data.go.kr/data/15013188/fileData.do

Alerts

Dataset has 3 (< 0.1%) duplicate rowsDuplicates
교육종료시간 is highly overall correlated with 휴일구분High correlation
휴일구분 is highly overall correlated with 교육종료시간High correlation
교육장주소 has 391 (3.9%) missing valuesMissing
전화번호 has 1708 (17.1%) missing valuesMissing
교육장도로명주소 has 927 (9.3%) missing valuesMissing

Reproduction

Analysis started2023-12-12 10:48:54.792282
Analysis finished2023-12-12 10:48:57.359710
Duration2.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구명
Text

Distinct225
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T19:48:57.741231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.0342
Min length2

Characters and Unicode

Total characters30342
Distinct characters142
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row완주군
2nd row화성시
3rd row금천구
4th row거창군
5th row청양군
ValueCountFrequency (%)
북구 354
 
3.5%
광양시 316
 
3.2%
서대문구 305
 
3.0%
서구 238
 
2.4%
동구 232
 
2.3%
남구 217
 
2.2%
중구 198
 
2.0%
광산구 176
 
1.8%
부평구 158
 
1.6%
남동구 148
 
1.5%
Other values (215) 7658
76.6%
2023-12-12T19:48:58.327834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 5392
 
17.8%
시 3210
 
10.6%
군 1681
 
5.5%
양 1020
 
3.4%
동 928
 
3.1%
서 924
 
3.0%
산 844
 
2.8%
주 834
 
2.7%
광 739
 
2.4%
남 714
 
2.4%
Other values (132) 14056
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30342
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5392
 
17.8%
시 3210
 
10.6%
군 1681
 
5.5%
양 1020
 
3.4%
동 928
 
3.1%
서 924
 
3.0%
산 844
 
2.8%
주 834
 
2.7%
광 739
 
2.4%
남 714
 
2.4%
Other values (132) 14056
46.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30342
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5392
 
17.8%
시 3210
 
10.6%
군 1681
 
5.5%
양 1020
 
3.4%
동 928
 
3.1%
서 924
 
3.0%
산 844
 
2.8%
주 834
 
2.7%
광 739
 
2.4%
남 714
 
2.4%
Other values (132) 14056
46.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30342
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 5392
 
17.8%
시 3210
 
10.6%
군 1681
 
5.5%
양 1020
 
3.4%
동 928
 
3.1%
서 924
 
3.0%
산 844
 
2.8%
주 834
 
2.7%
광 739
 
2.4%
남 714
 
2.4%
Other values (132) 14056
46.3%

읍면동명
Text

Distinct2847
Distinct (%)28.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T19:48:58.751891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length3
Mean length3.4251
Min length2

Characters and Unicode

Total characters34251
Distinct characters328
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique760 ?
Unique (%)7.6%

Sample

1st row구이면
2nd row팔탄면
3rd row시흥5동
4th row남하면
5th row비봉면
ValueCountFrequency (%)
중앙동 66
 
0.7%
옥룡면 32
 
0.3%
금호동 31
 
0.3%
중마동 31
 
0.3%
진상면 29
 
0.3%
서면 27
 
0.3%
동면 27
 
0.3%
홍은1동 27
 
0.3%
진월면 27
 
0.3%
남면 27
 
0.3%
Other values (2837) 9676
96.8%
2023-12-12T19:48:59.417325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 7276
 
21.2%
면 2437
 
7.1%
1 1401
 
4.1%
2 1376
 
4.0%
산 822
 
2.4%
읍 675
 
2.0%
3 542
 
1.6%
신 433
 
1.3%
곡 406
 
1.2%
천 395
 
1.2%
Other values (318) 18488
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30322
88.5%
Decimal Number 3862
 
11.3%
Other Punctuation 64
 
0.2%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 7276
24.0%
면 2437
 
8.0%
산 822
 
2.7%
읍 675
 
2.2%
신 433
 
1.4%
곡 406
 
1.3%
천 395
 
1.3%
정 388
 
1.3%
양 371
 
1.2%
성 355
 
1.2%
Other values (304) 16764
55.3%
Decimal Number
ValueCountFrequency (%)
1 1401
36.3%
2 1376
35.6%
3 542
 
14.0%
4 282
 
7.3%
5 113
 
2.9%
6 74
 
1.9%
7 28
 
0.7%
9 20
 
0.5%
8 20
 
0.5%
0 6
 
0.2%
Other Punctuation
ValueCountFrequency (%)
. 55
85.9%
, 8
 
12.5%
· 1
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30322
88.5%
Common 3929
 
11.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 7276
24.0%
면 2437
 
8.0%
산 822
 
2.7%
읍 675
 
2.2%
신 433
 
1.4%
곡 406
 
1.3%
천 395
 
1.3%
정 388
 
1.3%
양 371
 
1.2%
성 355
 
1.2%
Other values (304) 16764
55.3%
Common
ValueCountFrequency (%)
1 1401
35.7%
2 1376
35.0%
3 542
 
13.8%
4 282
 
7.2%
5 113
 
2.9%
6 74
 
1.9%
. 55
 
1.4%
7 28
 
0.7%
9 20
 
0.5%
8 20
 
0.5%
Other values (4) 18
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30322
88.5%
ASCII 3928
 
11.5%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 7276
24.0%
면 2437
 
8.0%
산 822
 
2.7%
읍 675
 
2.2%
신 433
 
1.4%
곡 406
 
1.3%
천 395
 
1.3%
정 388
 
1.3%
양 371
 
1.2%
성 355
 
1.2%
Other values (304) 16764
55.3%
ASCII
ValueCountFrequency (%)
1 1401
35.7%
2 1376
35.0%
3 542
 
13.8%
4 282
 
7.2%
5 113
 
2.9%
6 74
 
1.9%
. 55
 
1.4%
7 28
 
0.7%
9 20
 
0.5%
8 20
 
0.5%
Other values (3) 17
 
0.4%
None
ValueCountFrequency (%)
· 1
100.0%

교육일자
Date

Distinct176
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2016-02-05 00:00:00
Maximum2016-11-25 00:00:00
2023-12-12T19:48:59.639835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:48:59.866904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

교육대상구분명
Categorical

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1~4년차대원
3841 
민방위대편입 5년차 이상
3444 
민방위대편입 2~4년차대원
1347 
신편대원
923 
민방위대편입 3~4년차대원
 
197
Other values (4)
 
248

Length

Max length14
Median length13
Mean length10.0032
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row신편대원
2nd row민방위대편입 5년차 이상
3rd row민방위대편입 5년차 이상
4th row신편대원
5th row1~4년차대원

Common Values

ValueCountFrequency (%)
1~4년차대원 3841
38.4%
민방위대편입 5년차 이상 3444
34.4%
민방위대편입 2~4년차대원 1347
 
13.5%
신편대원 923
 
9.2%
민방위대편입 3~4년차대원 197
 
2.0%
민방위대편입 2년차대원 154
 
1.5%
민방위대편입 3년차 이상 45
 
0.4%
민방위대편입 1~2년차대원 43
 
0.4%
민방위대장 6
 
0.1%

Length

2023-12-12T19:49:00.093357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:49:00.259043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민방위대편입 5230
27.9%
1~4년차대원 3841
20.5%
이상 3489
18.6%
5년차 3444
18.4%
2~4년차대원 1347
 
7.2%
신편대원 923
 
4.9%
3~4년차대원 197
 
1.1%
2년차대원 154
 
0.8%
3년차 45
 
0.2%
1~2년차대원 43
 
0.2%

교육구분명
Categorical

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
기본교육
5659 
비상소집
2650 
신편교육
573 
사이버교육
 
526
보충1차교육
 
159
Other values (6)
 
433

Length

Max length8
Median length4
Mean length4.1992
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row신편교육
2nd row사이버교육
3rd row비상소집
4th row신편교육
5th row기본교육

Common Values

ValueCountFrequency (%)
기본교육 5659
56.6%
비상소집 2650
26.5%
신편교육 573
 
5.7%
사이버교육 526
 
5.3%
보충1차교육 159
 
1.6%
비상보충2차소집 127
 
1.3%
보충2차교육 111
 
1.1%
비상보충1차소집 97
 
1.0%
자체교육 60
 
0.6%
기타교육 23
 
0.2%

Length

2023-12-12T19:49:00.481075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기본교육 5659
56.6%
비상소집 2650
26.5%
신편교육 573
 
5.7%
사이버교육 526
 
5.3%
보충1차교육 159
 
1.6%
비상보충2차소집 127
 
1.3%
보충2차교육 111
 
1.1%
비상보충1차소집 97
 
1.0%
자체교육 60
 
0.6%
기타교육 23
 
0.2%

교육시작시간
Date

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-12-12 00:00:00
Maximum2023-12-12 20:00:00
2023-12-12T19:49:00.635888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:49:00.828975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

교육종료시간
Categorical

HIGH CORRELATION 

Distinct34
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
13:00
3006 
18:00
2783 
08:00
2058 
23:00
476 
23:59
 
298
Other values (29)
1379 

Length

Max length5
Median length5
Mean length4.9972
Min length3

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st row13:00
2nd row23:59
3rd row08:00
4th row13:00
5th row13:00

Common Values

ValueCountFrequency (%)
13:00 3006
30.1%
18:00 2783
27.8%
08:00 2058
20.6%
23:00 476
 
4.8%
23:59 298
 
3.0%
20:00 267
 
2.7%
07:00 231
 
2.3%
22:00 205
 
2.1%
17:00 129
 
1.3%
10:00 87
 
0.9%
Other values (24) 460
 
4.6%

Length

2023-12-12T19:49:01.411771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
13:00 3006
30.1%
18:00 2783
27.8%
08:00 2058
20.6%
23:00 476
 
4.8%
23:59 298
 
3.0%
20:00 267
 
2.7%
07:00 231
 
2.3%
22:00 205
 
2.1%
17:00 129
 
1.3%
10:00 87
 
0.9%
Other values (24) 460
 
4.6%

교육장소
Text

Distinct5873
Distinct (%)58.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T19:49:01.771394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length85
Median length41
Mean length17.3124
Min length6

Characters and Unicode

Total characters173124
Distinct characters520
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4133 ?
Unique (%)41.3%

Sample

1st row구이면_완주군청 문예회관
2nd row팔탄면_인터넷교육(우측 안내문 참조)
3rd row시흥5동_서울백산초등학교 운동장
4th row남하면_거창문화원 1층 공연장
5th row비봉면_청양문화예술회관 소공연장
ValueCountFrequency (%)
민방위교육장 694
 
3.2%
대강당 330
 
1.5%
마을회관 316
 
1.5%
지정장소 302
 
1.4%
2층소극장(문화회관 296
 
1.4%
민방위 267
 
1.2%
3층 263
 
1.2%
주민센터 254
 
1.2%
참조 227
 
1.1%
대회의실 216
 
1.0%
Other values (6331) 18240
85.2%
2023-12-12T19:49:02.341640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11421
 
6.6%
동 10177
 
5.9%
_ 10000
 
5.8%
장 4916
 
2.8%
민 4327
 
2.5%
구 4098
 
2.4%
교 3878
 
2.2%
육 3782
 
2.2%
관 3568
 
2.1%
면 3365
 
1.9%
Other values (510) 113592
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 135562
78.3%
Space Separator 11421
 
6.6%
Connector Punctuation 10000
 
5.8%
Decimal Number 8070
 
4.7%
Close Punctuation 3264
 
1.9%
Open Punctuation 3249
 
1.9%
Other Punctuation 716
 
0.4%
Lowercase Letter 374
 
0.2%
Uppercase Letter 226
 
0.1%
Dash Punctuation 185
 
0.1%
Other values (2) 57
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 10177
 
7.5%
장 4916
 
3.6%
민 4327
 
3.2%
구 4098
 
3.0%
교 3878
 
2.9%
육 3782
 
2.8%
관 3568
 
2.6%
면 3365
 
2.5%
방 3150
 
2.3%
회 2999
 
2.2%
Other values (458) 91302
67.4%
Lowercase Letter
ValueCountFrequency (%)
w 69
18.4%
e 64
17.1%
r 46
12.3%
c 35
9.4%
s 24
 
6.4%
k 23
 
6.1%
o 23
 
6.1%
m 23
 
6.1%
z 20
 
5.3%
n 20
 
5.3%
Other values (5) 27
 
7.2%
Uppercase Letter
ValueCountFrequency (%)
B 113
50.0%
C 42
 
18.6%
P 24
 
10.6%
A 19
 
8.4%
I 10
 
4.4%
T 8
 
3.5%
K 4
 
1.8%
S 2
 
0.9%
L 1
 
0.4%
H 1
 
0.4%
Other values (2) 2
 
0.9%
Decimal Number
ValueCountFrequency (%)
2 2441
30.2%
1 2375
29.4%
3 1264
15.7%
4 681
 
8.4%
5 446
 
5.5%
6 321
 
4.0%
9 211
 
2.6%
7 135
 
1.7%
8 129
 
1.6%
0 67
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 319
44.6%
, 261
36.5%
/ 57
 
8.0%
@ 38
 
5.3%
· 36
 
5.0%
※ 5
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 3255
99.7%
] 9
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 3240
99.7%
[ 9
 
0.3%
Space Separator
ValueCountFrequency (%)
11421
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 10000
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 185
100.0%
Other Symbol
ValueCountFrequency (%)
☎ 40
100.0%
Math Symbol
ValueCountFrequency (%)
~ 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 135562
78.3%
Common 36962
 
21.4%
Latin 600
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 10177
 
7.5%
장 4916
 
3.6%
민 4327
 
3.2%
구 4098
 
3.0%
교 3878
 
2.9%
육 3782
 
2.8%
관 3568
 
2.6%
면 3365
 
2.5%
방 3150
 
2.3%
회 2999
 
2.2%
Other values (458) 91302
67.4%
Latin
ValueCountFrequency (%)
B 113
18.8%
w 69
11.5%
e 64
10.7%
r 46
 
7.7%
C 42
 
7.0%
c 35
 
5.8%
s 24
 
4.0%
P 24
 
4.0%
k 23
 
3.8%
o 23
 
3.8%
Other values (17) 137
22.8%
Common
ValueCountFrequency (%)
11421
30.9%
_ 10000
27.1%
) 3255
 
8.8%
( 3240
 
8.8%
2 2441
 
6.6%
1 2375
 
6.4%
3 1264
 
3.4%
4 681
 
1.8%
5 446
 
1.2%
6 321
 
0.9%
Other values (15) 1518
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 135535
78.3%
ASCII 37481
 
21.6%
Misc Symbols 40
 
< 0.1%
None 36
 
< 0.1%
Compat Jamo 27
 
< 0.1%
Punctuation 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11421
30.5%
_ 10000
26.7%
) 3255
 
8.7%
( 3240
 
8.6%
2 2441
 
6.5%
1 2375
 
6.3%
3 1264
 
3.4%
4 681
 
1.8%
5 446
 
1.2%
6 321
 
0.9%
Other values (39) 2037
 
5.4%
Hangul
ValueCountFrequency (%)
동 10177
 
7.5%
장 4916
 
3.6%
민 4327
 
3.2%
구 4098
 
3.0%
교 3878
 
2.9%
육 3782
 
2.8%
관 3568
 
2.6%
면 3365
 
2.5%
방 3150
 
2.3%
회 2999
 
2.2%
Other values (457) 91275
67.3%
Misc Symbols
ValueCountFrequency (%)
☎ 40
100.0%
None
ValueCountFrequency (%)
· 36
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 27
100.0%
Punctuation
ValueCountFrequency (%)
※ 5
100.0%

교육장주소
Text

MISSING 

Distinct1910
Distinct (%)19.9%
Missing391
Missing (%)3.9%
Memory size156.2 KiB
2023-12-12T19:49:02.755259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length21.144864
Min length12

Characters and Unicode

Total characters203181
Distinct characters352
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

Unique1277 ?
Unique (%)13.3%

Sample

1st row전라북도 완주군 용진읍 운곡리 -78번지
2nd row경기도 화성시 향남읍 도이리 산 31-6번지
3rd row서울특별시 금천구 시흥동 438-5번지
4th row경상남도 거창군 거창읍 장팔리
5th row충청남도 청양군 청양읍 송방리 94-14번지
ValueCountFrequency (%)
경기도 1916
 
4.6%
서울특별시 1463
 
3.5%
부산광역시 792
 
1.9%
경상북도 722
 
1.7%
경상남도 684
 
1.6%
전라남도 683
 
1.6%
인천광역시 554
 
1.3%
산 541
 
1.3%
강원도 415
 
1.0%
대구광역시 411
 
1.0%
Other values (2990) 33766
80.5%
2023-12-12T19:49:03.376554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42003
20.7%
동 8799
 
4.3%
시 8740
 
4.3%
지 7598
 
3.7%
번 7344
 
3.6%
구 6193
 
3.0%
도 5762
 
2.8%
1 4806
 
2.4%
- 4417
 
2.2%
광 3877
 
1.9%
Other values (342) 103642
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 130378
64.2%
Space Separator 42003
 
20.7%
Decimal Number 25939
 
12.8%
Dash Punctuation 4417
 
2.2%
Close Punctuation 183
 
0.1%
Open Punctuation 183
 
0.1%
Other Punctuation 78
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 8799
 
6.7%
시 8740
 
6.7%
지 7598
 
5.8%
번 7344
 
5.6%
구 6193
 
4.8%
도 5762
 
4.4%
광 3877
 
3.0%
산 3672
 
2.8%
경 3599
 
2.8%
남 2993
 
2.3%
Other values (326) 71801
55.1%
Decimal Number
ValueCountFrequency (%)
1 4806
18.5%
2 3686
14.2%
3 3164
12.2%
6 2452
9.5%
5 2413
9.3%
4 2349
9.1%
8 1972
7.6%
0 1900
 
7.3%
7 1721
 
6.6%
9 1476
 
5.7%
Other Punctuation
ValueCountFrequency (%)
. 75
96.2%
@ 3
 
3.8%
Space Separator
ValueCountFrequency (%)
42003
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4417
100.0%
Close Punctuation
ValueCountFrequency (%)
) 183
100.0%
Open Punctuation
ValueCountFrequency (%)
( 183
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 130378
64.2%
Common 72803
35.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 8799
 
6.7%
시 8740
 
6.7%
지 7598
 
5.8%
번 7344
 
5.6%
구 6193
 
4.8%
도 5762
 
4.4%
광 3877
 
3.0%
산 3672
 
2.8%
경 3599
 
2.8%
남 2993
 
2.3%
Other values (326) 71801
55.1%
Common
ValueCountFrequency (%)
42003
57.7%
1 4806
 
6.6%
- 4417
 
6.1%
2 3686
 
5.1%
3 3164
 
4.3%
6 2452
 
3.4%
5 2413
 
3.3%
4 2349
 
3.2%
8 1972
 
2.7%
0 1900
 
2.6%
Other values (6) 3641
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 130378
64.2%
ASCII 72803
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42003
57.7%
1 4806
 
6.6%
- 4417
 
6.1%
2 3686
 
5.1%
3 3164
 
4.3%
6 2452
 
3.4%
5 2413
 
3.3%
4 2349
 
3.2%
8 1972
 
2.7%
0 1900
 
2.6%
Other values (6) 3641
 
5.0%
Hangul
ValueCountFrequency (%)
동 8799
 
6.7%
시 8740
 
6.7%
지 7598
 
5.8%
번 7344
 
5.6%
구 6193
 
4.8%
도 5762
 
4.4%
광 3877
 
3.0%
산 3672
 
2.8%
경 3599
 
2.8%
남 2993
 
2.3%
Other values (326) 71801
55.1%

전화번호
Text

MISSING 

Distinct231
Distinct (%)2.8%
Missing1708
Missing (%)17.1%
Memory size156.2 KiB
2023-12-12T19:49:03.710774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.009407
Min length3

Characters and Unicode

Total characters99582
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.1%

Sample

1st row063-290-2904
2nd row031-369-2165
3rd row02-2627-1056
4th row055-940-3667
5th row041-940-2452
ValueCountFrequency (%)
061-797-2557 316
 
3.8%
062-960-3984 175
 
2.1%
031-828-4365 145
 
1.7%
062-410-6745 139
 
1.7%
032)509-3941 138
 
1.7%
053-665-2276 129
 
1.5%
02-3423-6954 128
 
1.5%
031-8082-6747 126
 
1.5%
044-300-3632 124
 
1.5%
051-665-4132 121
 
1.5%
Other values (222) 6787
81.5%
2023-12-12T19:49:04.257651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 16324
16.4%
0 14049
14.1%
2 11714
11.8%
3 10477
10.5%
5 8708
8.7%
4 8702
8.7%
6 8542
8.6%
1 7937
8.0%
7 5476
 
5.5%
9 4015
 
4.0%
Other values (3) 3638
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 83006
83.4%
Dash Punctuation 16324
 
16.4%
Close Punctuation 216
 
0.2%
Space Separator 36
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14049
16.9%
2 11714
14.1%
3 10477
12.6%
5 8708
10.5%
4 8702
10.5%
6 8542
10.3%
1 7937
9.6%
7 5476
 
6.6%
9 4015
 
4.8%
8 3386
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 16324
100.0%
Close Punctuation
ValueCountFrequency (%)
) 216
100.0%
Space Separator
ValueCountFrequency (%)
36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 99582
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 16324
16.4%
0 14049
14.1%
2 11714
11.8%
3 10477
10.5%
5 8708
8.7%
4 8702
8.7%
6 8542
8.6%
1 7937
8.0%
7 5476
 
5.5%
9 4015
 
4.0%
Other values (3) 3638
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 99582
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 16324
16.4%
0 14049
14.1%
2 11714
11.8%
3 10477
10.5%
5 8708
8.7%
4 8702
8.7%
6 8542
8.6%
1 7937
8.0%
7 5476
 
5.5%
9 4015
 
4.0%
Other values (3) 3638
 
3.7%

휴일구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
평일교육
7783 
주말교육
1112 
야간교육
1105 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
평일교육 7783
77.8%
주말교육 1112
 
11.1%
야간교육 1105
 
11.1%

Length

2023-12-12T19:49:04.479736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:49:04.635675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평일교육 7783
77.8%
주말교육 1112
 
11.1%
야간교육 1105
 
11.1%

교육장도로명주소
Text

MISSING 

Distinct1691
Distinct (%)18.6%
Missing927
Missing (%)9.3%
Memory size156.2 KiB
2023-12-12T19:49:05.074622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length40
Mean length23.880304
Min length16

Characters and Unicode

Total characters216666
Distinct characters393
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1127 ?
Unique (%)12.4%

Sample

1st row전라북도 완주군 용진면 지암로 61
2nd row경기도 화성시 향남읍 향남로 470
3rd row서울특별시 금천구 시흥대로38길 78 (시흥동)
4th row경상남도 거창군 거창읍 수남로 1293-40
5th row충청남도 청양군 청양읍 문화예술로 187
ValueCountFrequency (%)
경기도 1799
 
3.8%
서울특별시 1395
 
3.0%
부산광역시 792
 
1.7%
경상북도 663
 
1.4%
전라남도 662
 
1.4%
경상남도 645
 
1.4%
인천광역시 474
 
1.0%
강원도 407
 
0.9%
대구광역시 385
 
0.8%
충청남도 359
 
0.8%
Other values (3260) 39194
83.8%
2023-12-12T19:49:05.789815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39710
 
18.3%
동 9015
 
4.2%
시 8700
 
4.0%
로 8043
 
3.7%
) 7180
 
3.3%
( 7180
 
3.3%
구 6109
 
2.8%
도 5406
 
2.5%
1 4934
 
2.3%
광 3808
 
1.8%
Other values (383) 116581
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 136364
62.9%
Space Separator 39710
 
18.3%
Decimal Number 24544
 
11.3%
Close Punctuation 7180
 
3.3%
Open Punctuation 7180
 
3.3%
Other Punctuation 1120
 
0.5%
Dash Punctuation 568
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 9015
 
6.6%
시 8700
 
6.4%
로 8043
 
5.9%
구 6109
 
4.5%
도 5406
 
4.0%
광 3808
 
2.8%
경 3402
 
2.5%
산 3274
 
2.4%
대 3076
 
2.3%
남 3058
 
2.2%
Other values (367) 82473
60.5%
Decimal Number
ValueCountFrequency (%)
1 4934
20.1%
2 3389
13.8%
3 3146
12.8%
5 2468
10.1%
4 2352
9.6%
0 2309
9.4%
8 1628
 
6.6%
6 1611
 
6.6%
7 1386
 
5.6%
9 1321
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 1085
96.9%
· 35
 
3.1%
Space Separator
ValueCountFrequency (%)
39710
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7180
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7180
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 568
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 136364
62.9%
Common 80302
37.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 9015
 
6.6%
시 8700
 
6.4%
로 8043
 
5.9%
구 6109
 
4.5%
도 5406
 
4.0%
광 3808
 
2.8%
경 3402
 
2.5%
산 3274
 
2.4%
대 3076
 
2.3%
남 3058
 
2.2%
Other values (367) 82473
60.5%
Common
ValueCountFrequency (%)
39710
49.5%
) 7180
 
8.9%
( 7180
 
8.9%
1 4934
 
6.1%
2 3389
 
4.2%
3 3146
 
3.9%
5 2468
 
3.1%
4 2352
 
2.9%
0 2309
 
2.9%
8 1628
 
2.0%
Other values (6) 6006
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 136364
62.9%
ASCII 80267
37.0%
None 35
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39710
49.5%
) 7180
 
8.9%
( 7180
 
8.9%
1 4934
 
6.1%
2 3389
 
4.2%
3 3146
 
3.9%
5 2468
 
3.1%
4 2352
 
2.9%
0 2309
 
2.9%
8 1628
 
2.0%
Other values (5) 5971
 
7.4%
Hangul
ValueCountFrequency (%)
동 9015
 
6.6%
시 8700
 
6.4%
로 8043
 
5.9%
구 6109
 
4.5%
도 5406
 
4.0%
광 3808
 
2.8%
경 3402
 
2.5%
산 3274
 
2.4%
대 3076
 
2.3%
남 3058
 
2.2%
Other values (367) 82473
60.5%
None
ValueCountFrequency (%)
· 35
100.0%

Correlations

2023-12-12T19:49:05.945751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교육대상구분명교육구분명교육시작시간교육종료시간휴일구분
교육대상구분명1.0000.7320.6940.7480.484
교육구분명0.7321.0000.8140.8120.325
교육시작시간0.6940.8141.0000.9950.895
교육종료시간0.7480.8120.9951.0000.912
휴일구분0.4840.3250.8950.9121.000
2023-12-12T19:49:06.105772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교육종료시간휴일구분교육구분명교육대상구분명
교육종료시간1.0000.7610.4300.389
휴일구분0.7611.0000.2000.244
교육구분명0.4300.2001.0000.445
교육대상구분명0.3890.2440.4451.000
2023-12-12T19:49:06.244520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교육대상구분명교육구분명교육종료시간휴일구분
교육대상구분명1.0000.4450.3890.244
교육구분명0.4451.0000.4300.200
교육종료시간0.3890.4301.0000.761
휴일구분0.2440.2000.7611.000

Missing values

2023-12-12T19:48:56.803792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:48:57.079665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-12T19:48:57.272099image/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

시군구명읍면동명교육일자교육대상구분명교육구분명교육시작시간교육종료시간교육장소교육장주소전화번호휴일구분교육장도로명주소
13034완주군구이면2016-04-29신편대원신편교육09:0013:00구이면_완주군청 문예회관전라북도 완주군 용진읍 운곡리 -78번지063-290-2904평일교육전라북도 완주군 용진면 지암로 61
17041화성시팔탄면2016-05-02민방위대편입 5년차 이상사이버교육00:0023:59팔탄면_인터넷교육(우측 안내문 참조)경기도 화성시 향남읍 도이리 산 31-6번지031-369-2165평일교육경기도 화성시 향남읍 향남로 470
2007금천구시흥5동2016-06-09민방위대편입 5년차 이상비상소집07:0008:00시흥5동_서울백산초등학교 운동장서울특별시 금천구 시흥동 438-5번지02-2627-1056평일교육서울특별시 금천구 시흥대로38길 78 (시흥동)
16857거창군남하면2016-05-10신편대원신편교육09:0013:00남하면_거창문화원 1층 공연장경상남도 거창군 거창읍 장팔리055-940-3667평일교육경상남도 거창군 거창읍 수남로 1293-40
12463청양군비봉면2016-04-271~4년차대원기본교육09:0013:00비봉면_청양문화예술회관 소공연장충청남도 청양군 청양읍 송방리 94-14번지041-940-2452평일교육충청남도 청양군 청양읍 문화예술로 187
14126담양군월산면2016-06-15민방위대편입 5년차 이상비상소집07:0008:00월산면_읍면 마을회관<NA>061-380-3344평일교육<NA>
1760양천구목1동2016-06-12민방위대편입 2~4년차대원기본교육09:0013:00목1동_해누리타운(2층) 해누리홀서울특별시 양천구 신정동 322-11번지 해누리타운02-2620-4396주말교육서울특별시 양천구 목동동로 81 (신정동, 해누리타운)
17580양주시양주2동2016-05-25민방위대편입 5년차 이상비상소집07:0008:00양주2동_자이아파트7단지 관리사무소경기도 양주시 삼숭동 12통031-8082-6747평일교육경기도 양주시 삼숭로58번길 141 (삼숭동)
17320상록구안산동2016-06-301~4년차대원기본교육19:0023:00상록구 안산동_월피동민방위교육장<NA><NA>야간교육<NA>
2947서구초장동2016-04-21민방위대편입 5년차 이상비상소집07:0008:00초장동_초장동주민센터부산광역시 서구 초장동 -483번지051-240-4134평일교육부산광역시 서구 구덕로 (초장동)
시군구명읍면동명교육일자교육대상구분명교육구분명교육시작시간교육종료시간교육장소교육장주소전화번호휴일구분교육장도로명주소
8082권선구세류2동2016-04-18민방위대편입 5년차 이상사이버교육00:0023:59권선구 세류2동_인터넷교육(우측 안내문 참조)경기도 수원시 권선구 탑동031-228-6264평일교육경기도 수원시 권선구 호매실로 12 (탑동)
18609세종특별자치시전동면2016-03-01민방위대편입 5년차 이상사이버교육00:0023:59전동면_인터넷교육(우측 안내문 참조)세종특별자치시 보람동 6265번지<NA>평일교육세종특별자치시 한누리대로 2130 (보람동)
9278평택시고덕면2016-04-271~4년차대원기본교육19:0023:00고덕면_평택시 민방위교육장경기도 평택시 비전동 236-21번지031-8024-4942야간교육경기도 평택시 평택4로 지하 60, 비전동동 (비전동)
11048춘천시동산면2016-03-15민방위대편입 5년차 이상비상소집06:0007:00동산면_동산면사무소강원도 춘천시 동산면 조양리 363-4번지033-250-3267평일교육강원도 춘천시 동산면 조양길 270
7719동구대송동2016-04-21신편대원신편교육13:3017:30대송동_동구청 5층 중강당울산광역시 동구 화정동 222번지052-209-3682평일교육울산광역시 동구 봉수로 155 (화정동)
6287옹진군자월면2016-05-191~4년차대원기본교육09:0013:00자월면_연평면 제1호 대피시설인천광역시 옹진군 연평면 연평리 -2번지032-899-2186평일교육인천광역시 옹진군 연평면 연평로 1
12362부여군세도면2016-05-281~4년차대원기본교육14:0018:00세도면_여성문화회관 3층 대강당충청남도 부여군 부여읍 동남리 692-1번지041-830-2333주말교육충청남도 부여군 부여읍 사비로 32
67종로구창신2동2016-06-21민방위대편입 2~4년차대원기본교육14:0018:00창신2동_종로구 민방위교육장(현대문화센타)서울특별시 종로구 원서동 181-5번지02-2148-1473평일교육서울특별시 종로구 창덕궁길 19 (원서동)
8713동안구부흥동2016-03-24신편대원기본교육14:0018:00동안구 부흥동_호계3동 민방위교육장(호계복합청사 4층)경기도 안양시 동안구 호계동 764-5번지031-8045-4257평일교육경기도 안양시 동안구 경수대로 504 (호계동)
10071의왕시내손2동2016-04-18민방위대편입 5년차 이상사이버교육00:0023:59내손2동_인터넷교육경기도 의왕시 고천동 171번지031-345-2912평일교육경기도 의왕시 시청로 11 (고천동)

Duplicate rows

Most frequently occurring

시군구명읍면동명교육일자교육대상구분명교육구분명교육시작시간교육종료시간교육장소교육장주소전화번호휴일구분교육장도로명주소# duplicates
0달서구진천동2016-06-09민방위대편입 5년차 이상비상소집07:0008:00진천동_AK그랑폴리스1차관리소대구광역시 달서구 진천동 597번지053-667-2271평일교육대구광역시 달서구 월배로11길 33 (진천동)2
1동구신암2동2016-05-14민방위대편입 5년차 이상비상소집09:0010:00신암2동_동신초등학교운동장(신암2동)대구광역시 동구 신암동 487번지053-662-2273주말교육대구광역시 동구 송라로 123 (신암동)2
2동구신암3동2016-05-14민방위대편입 5년차 이상비상소집09:0010:00신암3동_동대구초등학교(신암3동)대구광역시 동구 신암동 208-1번지053-662-2273주말교육대구광역시 동구 신암남로 45 (신암동)2