Overview

Dataset statistics

Number of variables13
Number of observations10000
Missing cells69369
Missing cells (%)53.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 MiB
Average record size in memory115.0 B

Variable types

Text10
Numeric3

Dataset

Description관리_부대_시설_pk,관리_주택대장_pk,부대시설_종류_코드,기타_시설_종류,설치_현황,단지내_현황,단지외_현황,변경전_설치_현황,변경전_단지내_현황,변경전_단지외_현황,전_부대_종류_코드,전_기타_시설_종류,작업_일자
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15683/S/1/datasetView.do

Alerts

부대시설_종류_코드 is highly overall correlated with 전_부대_종류_코드High correlation
전_부대_종류_코드 is highly overall correlated with 부대시설_종류_코드High correlation
부대시설_종류_코드 has 230 (2.3%) missing valuesMissing
기타_시설_종류 has 6697 (67.0%) missing valuesMissing
설치_현황 has 2480 (24.8%) missing valuesMissing
단지내_현황 has 4139 (41.4%) missing valuesMissing
단지외_현황 has 8813 (88.1%) missing valuesMissing
변경전_설치_현황 has 9010 (90.1%) missing valuesMissing
변경전_단지내_현황 has 9756 (97.6%) missing valuesMissing
변경전_단지외_현황 has 9963 (99.6%) missing valuesMissing
전_부대_종류_코드 has 9404 (94.0%) missing valuesMissing
전_기타_시설_종류 has 8877 (88.8%) missing valuesMissing
관리_부대_시설_pk has unique valuesUnique

Reproduction

Analysis started2024-05-11 06:29:57.988486
Analysis finished2024-05-11 06:30:03.791112
Duration5.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리_부대_시설_pk
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T15:30:04.370439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length15
Mean length14.3281
Min length7

Characters and Unicode

Total characters143281
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

Unique10000 ?
Unique (%)100.0%

Sample

1st row11440-179
2nd row11000-100005789
3rd row11470-1249
4th row11620-1000000000000000005653
5th row11290-100005544
ValueCountFrequency (%)
11440-179 1
 
< 0.1%
11440-683 1
 
< 0.1%
11470-5 1
 
< 0.1%
11200-1000000000000000011552 1
 
< 0.1%
11260-139 1
 
< 0.1%
11740-100005175 1
 
< 0.1%
11650-100002584 1
 
< 0.1%
11350-100006410 1
 
< 0.1%
11680-397 1
 
< 0.1%
11000-100006253 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-05-11T15:30:04.934092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 54746
38.2%
1 32640
22.8%
- 10000
 
7.0%
2 7935
 
5.5%
5 7394
 
5.2%
4 6681
 
4.7%
3 6594
 
4.6%
6 5626
 
3.9%
7 4485
 
3.1%
8 3946
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 133281
93.0%
Dash Punctuation 10000
 
7.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 54746
41.1%
1 32640
24.5%
2 7935
 
6.0%
5 7394
 
5.5%
4 6681
 
5.0%
3 6594
 
4.9%
6 5626
 
4.2%
7 4485
 
3.4%
8 3946
 
3.0%
9 3234
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 143281
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 54746
38.2%
1 32640
22.8%
- 10000
 
7.0%
2 7935
 
5.5%
5 7394
 
5.2%
4 6681
 
4.7%
3 6594
 
4.6%
6 5626
 
3.9%
7 4485
 
3.1%
8 3946
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 143281
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 54746
38.2%
1 32640
22.8%
- 10000
 
7.0%
2 7935
 
5.5%
5 7394
 
5.2%
4 6681
 
4.7%
3 6594
 
4.6%
6 5626
 
3.9%
7 4485
 
3.1%
8 3946
 
2.8%

관리_주택대장_pk
Text

Distinct4326
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T15:30:05.331535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length15
Mean length13.8023
Min length7

Characters and Unicode

Total characters138023
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

Unique2103 ?
Unique (%)21.0%

Sample

1st row11440-28
2nd row11000-100005625
3rd row11470-2007
4th row11620-1000000000000000009161
5th row11290-100022623
ValueCountFrequency (%)
11590-100009222 24
 
0.2%
11740-100016264 22
 
0.2%
11530-100022268 21
 
0.2%
11560-100012526 21
 
0.2%
11530-100015048 19
 
0.2%
11740-100024823 19
 
0.2%
11530-100015047 17
 
0.2%
11560-100016986 17
 
0.2%
11380-100018344 16
 
0.2%
11000-100005945 16
 
0.2%
Other values (4316) 9808
98.1%
2024-05-11T15:30:05.920008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 48349
35.0%
1 33717
24.4%
- 10000
 
7.2%
5 7841
 
5.7%
4 7290
 
5.3%
2 7163
 
5.2%
6 6171
 
4.5%
3 5729
 
4.2%
7 4402
 
3.2%
8 4274
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 128023
92.8%
Dash Punctuation 10000
 
7.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 48349
37.8%
1 33717
26.3%
5 7841
 
6.1%
4 7290
 
5.7%
2 7163
 
5.6%
6 6171
 
4.8%
3 5729
 
4.5%
7 4402
 
3.4%
8 4274
 
3.3%
9 3087
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 138023
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 48349
35.0%
1 33717
24.4%
- 10000
 
7.2%
5 7841
 
5.7%
4 7290
 
5.3%
2 7163
 
5.2%
6 6171
 
4.5%
3 5729
 
4.2%
7 4402
 
3.2%
8 4274
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 138023
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 48349
35.0%
1 33717
24.4%
- 10000
 
7.2%
5 7841
 
5.7%
4 7290
 
5.3%
2 7163
 
5.2%
6 6171
 
4.5%
3 5729
 
4.2%
7 4402
 
3.2%
8 4274
 
3.1%

부대시설_종류_코드
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct21
Distinct (%)0.2%
Missing230
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean18.823644
Minimum11
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T15:30:06.233907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile11
Q114
median17
Q325
95-th percentile31
Maximum34
Range23
Interquartile range (IQR)11

Descriptive statistics

Standard deviation5.698081
Coefficient of variation (CV)0.30270872
Kurtosis-0.77091407
Mean18.823644
Median Absolute Deviation (MAD)4
Skewness0.52613804
Sum183907
Variance32.468128
MonotonicityNot monotonic
2024-05-11T15:30:06.501861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
25 1685
16.9%
16 1594
15.9%
18 884
8.8%
12 736
7.4%
14 687
6.9%
11 638
 
6.4%
13 632
 
6.3%
19 608
 
6.1%
17 559
 
5.6%
31 525
 
5.2%
Other values (11) 1222
12.2%
ValueCountFrequency (%)
11 638
6.4%
12 736
7.4%
13 632
 
6.3%
14 687
6.9%
15 103
 
1.0%
16 1594
15.9%
17 559
 
5.6%
18 884
8.8%
19 608
 
6.1%
20 21
 
0.2%
ValueCountFrequency (%)
34 5
 
0.1%
33 1
 
< 0.1%
32 63
 
0.6%
31 525
 
5.2%
27 19
 
0.2%
26 490
 
4.9%
25 1685
16.9%
24 14
 
0.1%
23 467
 
4.7%
22 19
 
0.2%

기타_시설_종류
Text

MISSING 

Distinct1079
Distinct (%)32.7%
Missing6697
Missing (%)67.0%
Memory size156.2 KiB
2024-05-11T15:30:06.948935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length53
Mean length6.8683015
Min length1

Characters and Unicode

Total characters22686
Distinct characters320
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

Unique799 ?
Unique (%)24.2%

Sample

1st row전기차 충전소 설치
2nd row조경
3rd row펌프실
4th row전기차충전기설치
5th row주차장
ValueCountFrequency (%)
전기차 220
 
4.6%
충전기 187
 
3.9%
주차장 178
 
3.7%
경비실 146
 
3.0%
지하주차장 146
 
3.0%
전기차충전기 132
 
2.7%
설치 127
 
2.6%
cctv 117
 
2.4%
조경시설 107
 
2.2%
자전거보관소 77
 
1.6%
Other values (984) 3384
70.2%
2024-05-11T15:30:07.723071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1639
 
7.2%
전 1619
 
7.1%
1522
 
6.7%
차 1147
 
5.1%
설 885
 
3.9%
충 661
 
2.9%
시 641
 
2.8%
실 632
 
2.8%
주 605
 
2.7%
장 475
 
2.1%
Other values (310) 12860
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18721
82.5%
Space Separator 1522
 
6.7%
Decimal Number 821
 
3.6%
Uppercase Letter 751
 
3.3%
Other Punctuation 281
 
1.2%
Close Punctuation 189
 
0.8%
Open Punctuation 189
 
0.8%
Lowercase Letter 161
 
0.7%
Dash Punctuation 38
 
0.2%
Other Symbol 6
 
< 0.1%
Other values (2) 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1639
 
8.8%
전 1619
 
8.6%
차 1147
 
6.1%
설 885
 
4.7%
충 661
 
3.5%
시 641
 
3.4%
실 632
 
3.4%
주 605
 
3.2%
장 475
 
2.5%
지 433
 
2.3%
Other values (261) 9984
53.3%
Uppercase Letter
ValueCountFrequency (%)
C 204
27.2%
V 124
16.5%
T 120
16.0%
M 93
12.4%
D 91
12.1%
F 90
12.0%
E 9
 
1.2%
L 6
 
0.8%
S 5
 
0.7%
O 2
 
0.3%
Other values (6) 7
 
0.9%
Decimal Number
ValueCountFrequency (%)
1 167
20.3%
2 157
19.1%
3 114
13.9%
5 94
11.4%
4 79
9.6%
6 59
 
7.2%
0 56
 
6.8%
7 42
 
5.1%
8 31
 
3.8%
9 22
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 160
56.9%
/ 86
30.6%
. 20
 
7.1%
: 8
 
2.8%
? 6
 
2.1%
& 1
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
c 72
44.7%
v 36
22.4%
t 36
22.4%
m 15
 
9.3%
k 1
 
0.6%
w 1
 
0.6%
Math Symbol
ValueCountFrequency (%)
~ 2
40.0%
= 2
40.0%
+ 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 188
99.5%
] 1
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 188
99.5%
[ 1
 
0.5%
Space Separator
ValueCountFrequency (%)
1522
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 6
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18721
82.5%
Common 3053
 
13.5%
Latin 912
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1639
 
8.8%
전 1619
 
8.6%
차 1147
 
6.1%
설 885
 
4.7%
충 661
 
3.5%
시 641
 
3.4%
실 632
 
3.4%
주 605
 
3.2%
장 475
 
2.5%
지 433
 
2.3%
Other values (261) 9984
53.3%
Common
ValueCountFrequency (%)
1522
49.9%
) 188
 
6.2%
( 188
 
6.2%
1 167
 
5.5%
, 160
 
5.2%
2 157
 
5.1%
3 114
 
3.7%
5 94
 
3.1%
/ 86
 
2.8%
4 79
 
2.6%
Other values (17) 298
 
9.8%
Latin
ValueCountFrequency (%)
C 204
22.4%
V 124
13.6%
T 120
13.2%
M 93
10.2%
D 91
10.0%
F 90
9.9%
c 72
 
7.9%
v 36
 
3.9%
t 36
 
3.9%
m 15
 
1.6%
Other values (12) 31
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18721
82.5%
ASCII 3959
 
17.5%
CJK Compat 6
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1639
 
8.8%
전 1619
 
8.6%
차 1147
 
6.1%
설 885
 
4.7%
충 661
 
3.5%
시 641
 
3.4%
실 632
 
3.4%
주 605
 
3.2%
장 475
 
2.5%
지 433
 
2.3%
Other values (261) 9984
53.3%
ASCII
ValueCountFrequency (%)
1522
38.4%
C 204
 
5.2%
) 188
 
4.7%
( 188
 
4.7%
1 167
 
4.2%
, 160
 
4.0%
2 157
 
4.0%
V 124
 
3.1%
T 120
 
3.0%
3 114
 
2.9%
Other values (38) 1015
25.6%
CJK Compat
ValueCountFrequency (%)
㎡ 6
100.0%

설치_현황
Text

MISSING 

Distinct5375
Distinct (%)71.5%
Missing2480
Missing (%)24.8%
Memory size156.2 KiB
2024-05-11T15:30:08.179337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length169
Median length101
Mean length12.844814
Min length1

Characters and Unicode

Total characters96593
Distinct characters515
Distinct categories14 ?
Distinct scripts5 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4737 ?
Unique (%)63.0%

Sample

1st row1층 주출입구에 우편물 수취함 및 반송함 설치
2nd row구내통신선로 및 구내전화
3rd row전기차 충전소 설치 5개소 설치
4th row4833.77㎡
5th row시상하수와 연결
ValueCountFrequency (%)
설치 1705
 
9.0%
534
 
2.8%
및 249
 
1.3%
세대별 227
 
1.2%
전기차 216
 
1.1%
설치함 208
 
1.1%
충전기 182
 
1.0%
1개소 181
 
1.0%
세대당 158
 
0.8%
1층 127
 
0.7%
Other values (6304) 15114
80.0%
2024-05-11T15:30:08.986398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12222
 
12.7%
1 3740
 
3.9%
설 3407
 
3.5%
0 2894
 
3.0%
2 2726
 
2.8%
치 2668
 
2.8%
대 2364
 
2.4%
5 2195
 
2.3%
3 2026
 
2.1%
. 2001
 
2.1%
Other values (505) 60350
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50070
51.8%
Decimal Number 20028
 
20.7%
Space Separator 12222
 
12.7%
Other Punctuation 5159
 
5.3%
Uppercase Letter 2982
 
3.1%
Lowercase Letter 2112
 
2.2%
Close Punctuation 1263
 
1.3%
Open Punctuation 1259
 
1.3%
Other Symbol 796
 
0.8%
Dash Punctuation 440
 
0.5%
Other values (4) 262
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
설 3407
 
6.8%
치 2668
 
5.3%
대 2364
 
4.7%
기 1746
 
3.5%
전 1578
 
3.2%
지 1539
 
3.1%
수 1116
 
2.2%
차 1104
 
2.2%
하 998
 
2.0%
상 951
 
1.9%
Other values (409) 32599
65.1%
Uppercase Letter
ValueCountFrequency (%)
M 809
27.1%
V 339
11.4%
T 327
11.0%
D 219
 
7.3%
A 216
 
7.2%
C 193
 
6.5%
K 187
 
6.3%
W 143
 
4.8%
N 82
 
2.7%
O 77
 
2.6%
Other values (15) 390
13.1%
Lowercase Letter
ValueCountFrequency (%)
m 814
38.5%
k 290
 
13.7%
w 225
 
10.7%
t 218
 
10.3%
n 162
 
7.7%
o 157
 
7.4%
c 38
 
1.8%
v 37
 
1.8%
a 32
 
1.5%
e 28
 
1.3%
Other values (14) 111
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 2001
38.8%
, 1736
33.6%
: 1113
21.6%
/ 187
 
3.6%
% 35
 
0.7%
* 32
 
0.6%
' 31
 
0.6%
; 14
 
0.3%
？ 5
 
0.1%
& 2
 
< 0.1%
Other values (3) 3
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 3740
18.7%
0 2894
14.4%
2 2726
13.6%
5 2195
11.0%
3 2026
10.1%
4 1695
8.5%
6 1611
8.0%
8 1152
 
5.8%
7 1020
 
5.1%
9 969
 
4.8%
Math Symbol
ValueCountFrequency (%)
= 91
37.4%
~ 73
30.0%
+ 62
25.5%
> 7
 
2.9%
< 4
 
1.6%
→ 3
 
1.2%
× 3
 
1.2%
Close Punctuation
ValueCountFrequency (%)
) 1252
99.1%
] 6
 
0.5%
} 3
 
0.2%
｝ 2
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 1248
99.1%
[ 6
 
0.5%
{ 3
 
0.2%
｛ 2
 
0.2%
Other Symbol
ValueCountFrequency (%)
㎡ 782
98.2%
㎾ 9
 
1.1%
㎝ 3
 
0.4%
㎥ 2
 
0.3%
Space Separator
ValueCountFrequency (%)
12222
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 440
100.0%
Other Number
ValueCountFrequency (%)
² 11
100.0%
Control
ValueCountFrequency (%)
6
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50069
51.8%
Common 41429
42.9%
Latin 5087
 
5.3%
Greek 7
 
< 0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
설 3407
 
6.8%
치 2668
 
5.3%
대 2364
 
4.7%
기 1746
 
3.5%
전 1578
 
3.2%
지 1539
 
3.1%
수 1116
 
2.2%
차 1104
 
2.2%
하 998
 
2.0%
상 951
 
1.9%
Other values (408) 32598
65.1%
Latin
ValueCountFrequency (%)
m 814
16.0%
M 809
15.9%
V 339
 
6.7%
T 327
 
6.4%
k 290
 
5.7%
w 225
 
4.4%
D 219
 
4.3%
t 218
 
4.3%
A 216
 
4.2%
C 193
 
3.8%
Other values (38) 1437
28.2%
Common
ValueCountFrequency (%)
12222
29.5%
1 3740
 
9.0%
0 2894
 
7.0%
2 2726
 
6.6%
5 2195
 
5.3%
3 2026
 
4.9%
. 2001
 
4.8%
, 1736
 
4.2%
4 1695
 
4.1%
6 1611
 
3.9%
Other values (37) 8583
20.7%
Greek
ValueCountFrequency (%)
Φ 7
100.0%
Han
ValueCountFrequency (%)
中 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50069
51.8%
ASCII 45686
47.3%
CJK Compat 796
 
0.8%
None 37
 
< 0.1%
Arrows 3
 
< 0.1%
Punctuation 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12222
26.8%
1 3740
 
8.2%
0 2894
 
6.3%
2 2726
 
6.0%
5 2195
 
4.8%
3 2026
 
4.4%
. 2001
 
4.4%
, 1736
 
3.8%
4 1695
 
3.7%
6 1611
 
3.5%
Other values (71) 12840
28.1%
Hangul
ValueCountFrequency (%)
설 3407
 
6.8%
치 2668
 
5.3%
대 2364
 
4.7%
기 1746
 
3.5%
전 1578
 
3.2%
지 1539
 
3.1%
수 1116
 
2.2%
차 1104
 
2.2%
하 998
 
2.0%
상 951
 
1.9%
Other values (408) 32598
65.1%
CJK Compat
ValueCountFrequency (%)
㎡ 782
98.2%
㎾ 9
 
1.1%
㎝ 3
 
0.4%
㎥ 2
 
0.3%
None
ValueCountFrequency (%)
² 11
29.7%
Φ 7
18.9%
？ 5
13.5%
ø 4
 
10.8%
× 3
 
8.1%
Ø 2
 
5.4%
｝ 2
 
5.4%
｛ 2
 
5.4%
： 1
 
2.7%
Arrows
ValueCountFrequency (%)
→ 3
100.0%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%
CJK
ValueCountFrequency (%)
中 1
100.0%

단지내_현황
Text

MISSING 

Distinct3729
Distinct (%)63.6%
Missing4139
Missing (%)41.4%
Memory size156.2 KiB
2024-05-11T15:30:09.476814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length164
Median length103
Mean length11.013991
Min length1

Characters and Unicode

Total characters64553
Distinct characters435
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3221 ?
Unique (%)55.0%

Sample

1st row0
2nd row122.22㎡
3rd row전기차 충전소 설치
4th row대지면적의 39%
5th row시상하수와 연결
ValueCountFrequency (%)
설치 1432
 
11.4%
364
 
2.9%
설치함 286
 
2.3%
단지내 178
 
1.4%
세대별 147
 
1.2%
세대당 128
 
1.0%
6m 118
 
0.9%
1개소 113
 
0.9%
및 105
 
0.8%
포함 96
 
0.8%
Other values (4438) 9545
76.3%
2024-05-11T15:30:10.325445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7086
 
11.0%
1 2760
 
4.3%
설 2538
 
3.9%
0 2510
 
3.9%
치 2270
 
3.5%
2 2125
 
3.3%
5 1589
 
2.5%
3 1564
 
2.4%
. 1504
 
2.3%
대 1473
 
2.3%
Other values (425) 39134
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30279
46.9%
Decimal Number 15876
24.6%
Space Separator 7086
 
11.0%
Other Punctuation 4003
 
6.2%
Uppercase Letter 2169
 
3.4%
Lowercase Letter 2121
 
3.3%
Close Punctuation 852
 
1.3%
Open Punctuation 851
 
1.3%
Other Symbol 732
 
1.1%
Math Symbol 293
 
0.5%
Other values (5) 291
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
설 2538
 
8.4%
치 2270
 
7.5%
대 1473
 
4.9%
지 1245
 
4.1%
개 773
 
2.6%
소 755
 
2.5%
하 655
 
2.2%
함 648
 
2.1%
층 594
 
2.0%
상 559
 
1.8%
Other values (335) 18769
62.0%
Uppercase Letter
ValueCountFrequency (%)
M 445
20.5%
D 436
20.1%
T 210
9.7%
V 195
9.0%
A 150
 
6.9%
K 136
 
6.3%
O 106
 
4.9%
C 91
 
4.2%
W 91
 
4.2%
N 83
 
3.8%
Other values (15) 226
10.4%
Lowercase Letter
ValueCountFrequency (%)
m 1074
50.6%
k 205
 
9.7%
o 190
 
9.0%
n 184
 
8.7%
t 178
 
8.4%
w 176
 
8.3%
v 20
 
0.9%
p 19
 
0.9%
a 16
 
0.8%
y 15
 
0.7%
Other values (8) 44
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 1504
37.6%
, 1279
32.0%
: 830
20.7%
/ 246
 
6.1%
% 71
 
1.8%
' 30
 
0.7%
? 28
 
0.7%
; 8
 
0.2%
* 3
 
0.1%
％ 2
 
< 0.1%
Other values (2) 2
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 2760
17.4%
0 2510
15.8%
2 2125
13.4%
5 1589
10.0%
3 1564
9.9%
4 1387
8.7%
6 1322
8.3%
8 948
 
6.0%
9 846
 
5.3%
7 825
 
5.2%
Math Symbol
ValueCountFrequency (%)
= 145
49.5%
~ 119
40.6%
+ 16
 
5.5%
∮ 4
 
1.4%
√ 3
 
1.0%
> 2
 
0.7%
≥ 1
 
0.3%
< 1
 
0.3%
× 1
 
0.3%
→ 1
 
0.3%
Other Symbol
ValueCountFrequency (%)
㎡ 690
94.3%
○ 31
 
4.2%
㎥ 6
 
0.8%
㎜ 4
 
0.5%
㎾ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 851
99.9%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 850
99.9%
[ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
7086
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 272
100.0%
Other Number
ValueCountFrequency (%)
² 7
100.0%
Control
ValueCountFrequency (%)
6
100.0%
Currency Symbol
ValueCountFrequency (%)
￠ 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30279
46.9%
Common 29984
46.4%
Latin 4282
 
6.6%
Greek 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
설 2538
 
8.4%
치 2270
 
7.5%
대 1473
 
4.9%
지 1245
 
4.1%
개 773
 
2.6%
소 755
 
2.5%
하 655
 
2.2%
함 648
 
2.1%
층 594
 
2.0%
상 559
 
1.8%
Other values (335) 18769
62.0%
Common
ValueCountFrequency (%)
7086
23.6%
1 2760
 
9.2%
0 2510
 
8.4%
2 2125
 
7.1%
5 1589
 
5.3%
3 1564
 
5.2%
. 1504
 
5.0%
4 1387
 
4.6%
6 1322
 
4.4%
, 1279
 
4.3%
Other values (37) 6858
22.9%
Latin
ValueCountFrequency (%)
m 1074
25.1%
M 445
10.4%
D 436
10.2%
T 210
 
4.9%
k 205
 
4.8%
V 195
 
4.6%
o 190
 
4.4%
n 184
 
4.3%
t 178
 
4.2%
w 176
 
4.1%
Other values (32) 989
23.1%
Greek
ValueCountFrequency (%)
Φ 8
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33509
51.9%
Hangul 30274
46.9%
CJK Compat 701
 
1.1%
Geometric Shapes 31
 
< 0.1%
None 24
 
< 0.1%
Math Operators 8
 
< 0.1%
Compat Jamo 5
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7086
21.1%
1 2760
 
8.2%
0 2510
 
7.5%
2 2125
 
6.3%
5 1589
 
4.7%
3 1564
 
4.7%
. 1504
 
4.5%
4 1387
 
4.1%
6 1322
 
3.9%
, 1279
 
3.8%
Other values (63) 10383
31.0%
Hangul
ValueCountFrequency (%)
설 2538
 
8.4%
치 2270
 
7.5%
대 1473
 
4.9%
지 1245
 
4.1%
개 773
 
2.6%
소 755
 
2.5%
하 655
 
2.2%
함 648
 
2.1%
층 594
 
2.0%
상 559
 
1.8%
Other values (334) 18764
62.0%
CJK Compat
ValueCountFrequency (%)
㎡ 690
98.4%
㎥ 6
 
0.9%
㎜ 4
 
0.6%
㎾ 1
 
0.1%
Geometric Shapes
ValueCountFrequency (%)
○ 31
100.0%
None
ValueCountFrequency (%)
Φ 8
33.3%
² 7
29.2%
￠ 3
 
12.5%
％ 2
 
8.3%
× 1
 
4.2%
？ 1
 
4.2%
Ø 1
 
4.2%
ø 1
 
4.2%
Compat Jamo
ValueCountFrequency (%)
ㅇ 5
100.0%
Math Operators
ValueCountFrequency (%)
∮ 4
50.0%
√ 3
37.5%
≥ 1
 
12.5%
Arrows
ValueCountFrequency (%)
→ 1
100.0%

단지외_현황
Text

MISSING 

Distinct590
Distinct (%)49.7%
Missing8813
Missing (%)88.1%
Memory size156.2 KiB
2024-05-11T15:30:10.778804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length45
Mean length7.9132266
Min length1

Characters and Unicode

Total characters9393
Distinct characters270
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique477 ?
Unique (%)40.2%

Sample

1st row없음
2nd row해당없음
3rd row하수종말처리장에 연결
4th row북측:20m, 동측:25m, 서측:15m, 남측:12m
5th row우수관D450
ValueCountFrequency (%)
294
 
14.1%
없음 84
 
4.0%
해당없음 46
 
2.2%
도로 41
 
2.0%
d 33
 
1.6%
접면 33
 
1.6%
22.9kv 33
 
1.6%
8m 28
 
1.3%
설치 25
 
1.2%
6m 24
 
1.2%
Other values (741) 1438
69.2%
2024-05-11T15:30:11.559956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
918
 
9.8%
0 830
 
8.8%
m 710
 
7.6%
2 440
 
4.7%
, 383
 
4.1%
1 354
 
3.8%
5 236
 
2.5%
- 235
 
2.5%
도 235
 
2.5%
로 228
 
2.4%
Other values (260) 4824
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3079
32.8%
Decimal Number 2621
27.9%
Space Separator 918
 
9.8%
Lowercase Letter 838
 
8.9%
Other Punctuation 770
 
8.2%
Uppercase Letter 676
 
7.2%
Dash Punctuation 235
 
2.5%
Math Symbol 149
 
1.6%
Open Punctuation 46
 
0.5%
Close Punctuation 46
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 235
 
7.6%
로 228
 
7.4%
없 140
 
4.5%
음 138
 
4.5%
수 119
 
3.9%
측 107
 
3.5%
접 97
 
3.2%
설 83
 
2.7%
면 70
 
2.3%
대 70
 
2.3%
Other values (199) 1792
58.2%
Uppercase Letter
ValueCountFrequency (%)
D 224
33.1%
M 214
31.7%
X 35
 
5.2%
K 31
 
4.6%
O 27
 
4.0%
V 27
 
4.0%
B 25
 
3.7%
T 21
 
3.1%
C 19
 
2.8%
H 16
 
2.4%
Other values (10) 37
 
5.5%
Decimal Number
ValueCountFrequency (%)
0 830
31.7%
2 440
16.8%
1 354
13.5%
5 236
 
9.0%
3 190
 
7.2%
8 151
 
5.8%
6 150
 
5.7%
4 143
 
5.5%
9 95
 
3.6%
7 32
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
m 710
84.7%
v 36
 
4.3%
x 25
 
3.0%
k 19
 
2.3%
z 15
 
1.8%
o 14
 
1.7%
n 9
 
1.1%
c 6
 
0.7%
t 3
 
0.4%
w 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
, 383
49.7%
. 201
26.1%
: 124
 
16.1%
/ 48
 
6.2%
* 5
 
0.6%
% 4
 
0.5%
@ 4
 
0.5%
' 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
= 75
50.3%
~ 61
40.9%
+ 12
 
8.1%
× 1
 
0.7%
Other Symbol
ValueCountFrequency (%)
㎡ 7
46.7%
○ 5
33.3%
㎜ 3
20.0%
Open Punctuation
ValueCountFrequency (%)
( 45
97.8%
[ 1
 
2.2%
Close Punctuation
ValueCountFrequency (%)
) 45
97.8%
] 1
 
2.2%
Space Separator
ValueCountFrequency (%)
918
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 235
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4800
51.1%
Hangul 3079
32.8%
Latin 1513
 
16.1%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 235
 
7.6%
로 228
 
7.4%
없 140
 
4.5%
음 138
 
4.5%
수 119
 
3.9%
측 107
 
3.5%
접 97
 
3.2%
설 83
 
2.7%
면 70
 
2.3%
대 70
 
2.3%
Other values (199) 1792
58.2%
Common
ValueCountFrequency (%)
918
19.1%
0 830
17.3%
2 440
9.2%
, 383
8.0%
1 354
 
7.4%
5 236
 
4.9%
- 235
 
4.9%
. 201
 
4.2%
3 190
 
4.0%
8 151
 
3.1%
Other values (21) 862
18.0%
Latin
ValueCountFrequency (%)
m 710
46.9%
D 224
 
14.8%
M 214
 
14.1%
v 36
 
2.4%
X 35
 
2.3%
K 31
 
2.0%
O 27
 
1.8%
V 27
 
1.8%
x 25
 
1.7%
B 25
 
1.7%
Other values (19) 159
 
10.5%
Greek
ValueCountFrequency (%)
Φ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6297
67.0%
Hangul 3079
32.8%
CJK Compat 10
 
0.1%
Geometric Shapes 5
 
0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
918
14.6%
0 830
13.2%
m 710
11.3%
2 440
 
7.0%
, 383
 
6.1%
1 354
 
5.6%
5 236
 
3.7%
- 235
 
3.7%
D 224
 
3.6%
M 214
 
3.4%
Other values (46) 1753
27.8%
Hangul
ValueCountFrequency (%)
도 235
 
7.6%
로 228
 
7.4%
없 140
 
4.5%
음 138
 
4.5%
수 119
 
3.9%
측 107
 
3.5%
접 97
 
3.2%
설 83
 
2.7%
면 70
 
2.3%
대 70
 
2.3%
Other values (199) 1792
58.2%
CJK Compat
ValueCountFrequency (%)
㎡ 7
70.0%
㎜ 3
30.0%
Geometric Shapes
ValueCountFrequency (%)
○ 5
100.0%
None
ValueCountFrequency (%)
× 1
50.0%
Φ 1
50.0%

변경전_설치_현황
Text

MISSING 

Distinct632
Distinct (%)63.8%
Missing9010
Missing (%)90.1%
Memory size156.2 KiB
2024-05-11T15:30:12.079065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length81
Median length58
Mean length9.2909091
Min length1

Characters and Unicode

Total characters9198
Distinct characters288
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique527 ?
Unique (%)53.2%

Sample

1st row기존설치대수: 0대
2nd row어린이놀이터
3rd row정문(주출입구) 차단기 2기(후문 포함 단지 내 3기)
4th row6개소
5th row3기
ValueCountFrequency (%)
주차장 105
 
5.0%
지하주차장 78
 
3.7%
전기차 77
 
3.7%
67
 
3.2%
cctv 64
 
3.1%
0대 63
 
3.0%
충전기 60
 
2.9%
전기차충전기 48
 
2.3%
0기 42
 
2.0%
기존 36
 
1.7%
Other values (757) 1452
69.4%
2024-05-11T15:30:12.921948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1167
 
12.7%
기 628
 
6.8%
차 494
 
5.4%
전 425
 
4.6%
대 362
 
3.9%
1 335
 
3.6%
0 322
 
3.5%
주 301
 
3.3%
2 258
 
2.8%
장 231
 
2.5%
Other values (278) 4675
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5149
56.0%
Decimal Number 1869
 
20.3%
Space Separator 1167
 
12.7%
Uppercase Letter 329
 
3.6%
Other Punctuation 279
 
3.0%
Lowercase Letter 105
 
1.1%
Open Punctuation 99
 
1.1%
Close Punctuation 99
 
1.1%
Other Symbol 50
 
0.5%
Dash Punctuation 44
 
0.5%
Other values (2) 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 628
 
12.2%
차 494
 
9.6%
전 425
 
8.3%
대 362
 
7.0%
주 301
 
5.8%
장 231
 
4.5%
충 205
 
4.0%
지 186
 
3.6%
하 144
 
2.8%
면 133
 
2.6%
Other values (226) 2040
39.6%
Uppercase Letter
ValueCountFrequency (%)
C 120
36.5%
T 66
20.1%
V 61
18.5%
E 26
 
7.9%
A 24
 
7.3%
P 7
 
2.1%
L 5
 
1.5%
B 4
 
1.2%
M 4
 
1.2%
G 3
 
0.9%
Other values (7) 9
 
2.7%
Decimal Number
ValueCountFrequency (%)
1 335
17.9%
0 322
17.2%
2 258
13.8%
3 193
10.3%
5 176
9.4%
4 161
8.6%
6 124
 
6.6%
8 105
 
5.6%
7 103
 
5.5%
9 92
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
m 41
39.0%
c 24
22.9%
v 12
 
11.4%
t 12
 
11.4%
k 5
 
4.8%
w 3
 
2.9%
i 2
 
1.9%
e 2
 
1.9%
g 2
 
1.9%
p 2
 
1.9%
Other Punctuation
ValueCountFrequency (%)
. 104
37.3%
, 93
33.3%
: 74
26.5%
/ 3
 
1.1%
* 2
 
0.7%
% 2
 
0.7%
# 1
 
0.4%
Math Symbol
ValueCountFrequency (%)
= 4
80.0%
~ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
1167
100.0%
Open Punctuation
ValueCountFrequency (%)
( 99
100.0%
Close Punctuation
ValueCountFrequency (%)
) 99
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 50
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Control
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5148
56.0%
Common 3615
39.3%
Latin 434
 
4.7%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 628
 
12.2%
차 494
 
9.6%
전 425
 
8.3%
대 362
 
7.0%
주 301
 
5.8%
장 231
 
4.5%
충 205
 
4.0%
지 186
 
3.6%
하 144
 
2.8%
면 133
 
2.6%
Other values (225) 2039
39.6%
Latin
ValueCountFrequency (%)
C 120
27.6%
T 66
15.2%
V 61
14.1%
m 41
 
9.4%
E 26
 
6.0%
c 24
 
5.5%
A 24
 
5.5%
v 12
 
2.8%
t 12
 
2.8%
P 7
 
1.6%
Other values (17) 41
 
9.4%
Common
ValueCountFrequency (%)
1167
32.3%
1 335
 
9.3%
0 322
 
8.9%
2 258
 
7.1%
3 193
 
5.3%
5 176
 
4.9%
4 161
 
4.5%
6 124
 
3.4%
8 105
 
2.9%
. 104
 
2.9%
Other values (15) 670
18.5%
Han
ValueCountFrequency (%)
中 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5148
56.0%
ASCII 3999
43.5%
CJK Compat 50
 
0.5%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1167
29.2%
1 335
 
8.4%
0 322
 
8.1%
2 258
 
6.5%
3 193
 
4.8%
5 176
 
4.4%
4 161
 
4.0%
6 124
 
3.1%
C 120
 
3.0%
8 105
 
2.6%
Other values (41) 1038
26.0%
Hangul
ValueCountFrequency (%)
기 628
 
12.2%
차 494
 
9.6%
전 425
 
8.3%
대 362
 
7.0%
주 301
 
5.8%
장 231
 
4.5%
충 205
 
4.0%
지 186
 
3.6%
하 144
 
2.8%
면 133
 
2.6%
Other values (225) 2039
39.6%
CJK Compat
ValueCountFrequency (%)
㎡ 50
100.0%
CJK
ValueCountFrequency (%)
中 1
100.0%

변경전_단지내_현황
Text

MISSING 

Distinct198
Distinct (%)81.1%
Missing9756
Missing (%)97.6%
Memory size156.2 KiB
2024-05-11T15:30:13.384331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length163
Median length51
Mean length11.565574
Min length1

Characters and Unicode

Total characters2822
Distinct characters198
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

Unique170 ?
Unique (%)69.7%

Sample

1st row차도 : 2차선, 폭 9m인도 : 폭 2.7m
2nd row6개소
3rd row전기차충전기 2기 및 충전전용주차구획 2면
4th row전기차충전소 0기
5th rowCCTV 44대
ValueCountFrequency (%)
주차장 39
 
6.4%
24
 
4.0%
cctv 22
 
3.6%
전기차충전기 12
 
2.0%
지하주차장 11
 
1.8%
및 11
 
1.8%
전기차 11
 
1.8%
없음 9
 
1.5%
충전전용주차구획 8
 
1.3%
2면 7
 
1.2%
Other values (329) 453
74.6%
2024-05-11T15:30:14.101166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
418
 
14.8%
1 129
 
4.6%
차 122
 
4.3%
기 100
 
3.5%
대 96
 
3.4%
2 93
 
3.3%
주 87
 
3.1%
전 83
 
2.9%
0 76
 
2.7%
5 75
 
2.7%
Other values (188) 1543
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1398
49.5%
Decimal Number 656
23.2%
Space Separator 418
 
14.8%
Other Punctuation 121
 
4.3%
Uppercase Letter 114
 
4.0%
Lowercase Letter 31
 
1.1%
Close Punctuation 26
 
0.9%
Open Punctuation 26
 
0.9%
Other Symbol 16
 
0.6%
Dash Punctuation 13
 
0.5%
Other values (2) 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
차 122
 
8.7%
기 100
 
7.2%
대 96
 
6.9%
주 87
 
6.2%
전 83
 
5.9%
장 69
 
4.9%
면 55
 
3.9%
지 48
 
3.4%
소 40
 
2.9%
충 39
 
2.8%
Other values (154) 659
47.1%
Decimal Number
ValueCountFrequency (%)
1 129
19.7%
2 93
14.2%
0 76
11.6%
5 75
11.4%
3 72
11.0%
4 54
8.2%
6 45
 
6.9%
7 42
 
6.4%
8 39
 
5.9%
9 31
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
C 44
38.6%
T 24
21.1%
V 22
19.3%
E 10
 
8.8%
A 9
 
7.9%
Y 2
 
1.8%
P 2
 
1.8%
B 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
, 45
37.2%
. 41
33.9%
: 29
24.0%
/ 3
 
2.5%
% 3
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
m 15
48.4%
c 8
25.8%
v 4
 
12.9%
t 4
 
12.9%
Space Separator
ValueCountFrequency (%)
418
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Control
ValueCountFrequency (%)
2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1398
49.5%
Common 1279
45.3%
Latin 145
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
차 122
 
8.7%
기 100
 
7.2%
대 96
 
6.9%
주 87
 
6.2%
전 83
 
5.9%
장 69
 
4.9%
면 55
 
3.9%
지 48
 
3.4%
소 40
 
2.9%
충 39
 
2.8%
Other values (154) 659
47.1%
Common
ValueCountFrequency (%)
418
32.7%
1 129
 
10.1%
2 93
 
7.3%
0 76
 
5.9%
5 75
 
5.9%
3 72
 
5.6%
4 54
 
4.2%
, 45
 
3.5%
6 45
 
3.5%
7 42
 
3.3%
Other values (12) 230
18.0%
Latin
ValueCountFrequency (%)
C 44
30.3%
T 24
16.6%
V 22
15.2%
m 15
 
10.3%
E 10
 
6.9%
A 9
 
6.2%
c 8
 
5.5%
v 4
 
2.8%
t 4
 
2.8%
Y 2
 
1.4%
Other values (2) 3
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1408
49.9%
Hangul 1398
49.5%
CJK Compat 16
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
418
29.7%
1 129
 
9.2%
2 93
 
6.6%
0 76
 
5.4%
5 75
 
5.3%
3 72
 
5.1%
4 54
 
3.8%
, 45
 
3.2%
6 45
 
3.2%
C 44
 
3.1%
Other values (23) 357
25.4%
Hangul
ValueCountFrequency (%)
차 122
 
8.7%
기 100
 
7.2%
대 96
 
6.9%
주 87
 
6.2%
전 83
 
5.9%
장 69
 
4.9%
면 55
 
3.9%
지 48
 
3.4%
소 40
 
2.9%
충 39
 
2.8%
Other values (154) 659
47.1%
CJK Compat
ValueCountFrequency (%)
㎡ 16
100.0%

변경전_단지외_현황
Text

MISSING 

Distinct28
Distinct (%)75.7%
Missing9963
Missing (%)99.6%
Memory size156.2 KiB
2024-05-11T15:30:14.451727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length12
Mean length7.5135135
Min length1

Characters and Unicode

Total characters278
Distinct characters70
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)59.5%

Sample

1st rowCCTV 156대
2nd row없음
3rd row해당없음
4th row주변 공용주차장 없슴
5th row어린이놀이터:181.19m2
ValueCountFrequency (%)
cctv 9
 
13.2%
8
 
11.8%
없음 4
 
5.9%
해당없음 3
 
4.4%
474대 2
 
2.9%
0대 2
 
2.9%
전기차 2
 
2.9%
충전소 2
 
2.9%
10개소 2
 
2.9%
237대 1
 
1.5%
Other values (33) 33
48.5%
2024-05-11T15:30:14.985052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48
 
17.3%
대 15
 
5.4%
C 14
 
5.0%
1 12
 
4.3%
없 9
 
3.2%
음 8
 
2.9%
2 8
 
2.9%
- 7
 
2.5%
T 7
 
2.5%
V 7
 
2.5%
Other values (60) 143
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 124
44.6%
Decimal Number 51
18.3%
Space Separator 48
 
17.3%
Uppercase Letter 28
 
10.1%
Lowercase Letter 13
 
4.7%
Dash Punctuation 7
 
2.5%
Other Punctuation 7
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 15
 
12.1%
없 9
 
7.3%
음 8
 
6.5%
소 6
 
4.8%
전 6
 
4.8%
기 6
 
4.8%
차 6
 
4.8%
동 4
 
3.2%
이 4
 
3.2%
당 4
 
3.2%
Other values (38) 56
45.2%
Decimal Number
ValueCountFrequency (%)
1 12
23.5%
2 8
15.7%
0 7
13.7%
4 5
9.8%
3 5
9.8%
5 4
 
7.8%
7 3
 
5.9%
6 3
 
5.9%
8 2
 
3.9%
9 2
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
c 6
46.2%
t 3
23.1%
v 3
23.1%
m 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
C 14
50.0%
T 7
25.0%
V 7
25.0%
Other Punctuation
ValueCountFrequency (%)
. 5
71.4%
, 1
 
14.3%
: 1
 
14.3%
Space Separator
ValueCountFrequency (%)
48
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 124
44.6%
Common 113
40.6%
Latin 41
 
14.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 15
 
12.1%
없 9
 
7.3%
음 8
 
6.5%
소 6
 
4.8%
전 6
 
4.8%
기 6
 
4.8%
차 6
 
4.8%
동 4
 
3.2%
이 4
 
3.2%
당 4
 
3.2%
Other values (38) 56
45.2%
Common
ValueCountFrequency (%)
48
42.5%
1 12
 
10.6%
2 8
 
7.1%
- 7
 
6.2%
0 7
 
6.2%
. 5
 
4.4%
4 5
 
4.4%
3 5
 
4.4%
5 4
 
3.5%
7 3
 
2.7%
Other values (5) 9
 
8.0%
Latin
ValueCountFrequency (%)
C 14
34.1%
T 7
17.1%
V 7
17.1%
c 6
14.6%
t 3
 
7.3%
v 3
 
7.3%
m 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 154
55.4%
Hangul 124
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
48
31.2%
C 14
 
9.1%
1 12
 
7.8%
2 8
 
5.2%
- 7
 
4.5%
T 7
 
4.5%
V 7
 
4.5%
0 7
 
4.5%
c 6
 
3.9%
. 5
 
3.2%
Other values (12) 33
21.4%
Hangul
ValueCountFrequency (%)
대 15
 
12.1%
없 9
 
7.3%
음 8
 
6.5%
소 6
 
4.8%
전 6
 
4.8%
기 6
 
4.8%
차 6
 
4.8%
동 4
 
3.2%
이 4
 
3.2%
당 4
 
3.2%
Other values (38) 56
45.2%

전_부대_종류_코드
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct10
Distinct (%)1.7%
Missing9404
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean17.984899
Minimum11
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T15:30:15.201977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile11.75
Q116
median16
Q319
95-th percentile25
Maximum34
Range23
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.4462928
Coefficient of variation (CV)0.24722367
Kurtosis0.24346563
Mean17.984899
Median Absolute Deviation (MAD)0
Skewness1.0343833
Sum10719
Variance19.769519
MonotonicityNot monotonic
2024-05-11T15:30:15.391990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
16 392
 
3.9%
25 142
 
1.4%
11 30
 
0.3%
14 17
 
0.2%
12 5
 
0.1%
34 4
 
< 0.1%
19 2
 
< 0.1%
18 2
 
< 0.1%
33 1
 
< 0.1%
26 1
 
< 0.1%
(Missing) 9404
94.0%
ValueCountFrequency (%)
11 30
 
0.3%
12 5
 
0.1%
14 17
 
0.2%
16 392
3.9%
18 2
 
< 0.1%
19 2
 
< 0.1%
25 142
 
1.4%
26 1
 
< 0.1%
33 1
 
< 0.1%
34 4
 
< 0.1%
ValueCountFrequency (%)
34 4
 
< 0.1%
33 1
 
< 0.1%
26 1
 
< 0.1%
25 142
 
1.4%
19 2
 
< 0.1%
18 2
 
< 0.1%
16 392
3.9%
14 17
 
0.2%
12 5
 
0.1%
11 30
 
0.3%

전_기타_시설_종류
Text

MISSING 

Distinct425
Distinct (%)37.8%
Missing8877
Missing (%)88.8%
Memory size156.2 KiB
2024-05-11T15:30:15.826056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length33
Mean length6.682992
Min length1

Characters and Unicode

Total characters7505
Distinct characters228
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

Unique327 ?
Unique (%)29.1%

Sample

1st row전기차 충전소 설치
2nd row전기차충전기설치
3rd row어린이놀이터
4th row단지 내 도로(주차차단기)
5th row조경시설
ValueCountFrequency (%)
주차장 198
 
11.7%
지하주차장 128
 
7.6%
cctv 115
 
6.8%
전기차 88
 
5.2%
전기차충전기 85
 
5.0%
충전기 72
 
4.3%
부대시설 34
 
2.0%
조경시설 26
 
1.5%
및 25
 
1.5%
조경 22
 
1.3%
Other values (395) 893
53.0%
2024-05-11T15:30:16.583899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
차 744
 
9.9%
기 597
 
8.0%
전 596
 
7.9%
565
 
7.5%
주 456
 
6.1%
장 414
 
5.5%
충 290
 
3.9%
지 219
 
2.9%
C 192
 
2.6%
하 185
 
2.5%
Other values (218) 3247
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5844
77.9%
Space Separator 565
 
7.5%
Decimal Number 388
 
5.2%
Uppercase Letter 386
 
5.1%
Lowercase Letter 149
 
2.0%
Open Punctuation 57
 
0.8%
Close Punctuation 57
 
0.8%
Other Punctuation 40
 
0.5%
Dash Punctuation 12
 
0.2%
Other Symbol 3
 
< 0.1%
Other values (2) 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
차 744
 
12.7%
기 597
 
10.2%
전 596
 
10.2%
주 456
 
7.8%
장 414
 
7.1%
충 290
 
5.0%
지 219
 
3.7%
하 185
 
3.2%
설 182
 
3.1%
대 155
 
2.7%
Other values (187) 2006
34.3%
Decimal Number
ValueCountFrequency (%)
2 75
19.3%
1 65
16.8%
3 51
13.1%
5 49
12.6%
0 45
11.6%
4 36
9.3%
6 27
 
7.0%
9 14
 
3.6%
7 13
 
3.4%
8 13
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
C 192
49.7%
T 96
24.9%
V 96
24.9%
L 1
 
0.3%
H 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 22
55.0%
. 10
25.0%
: 6
 
15.0%
/ 1
 
2.5%
% 1
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
c 72
48.3%
v 36
24.2%
t 36
24.2%
m 5
 
3.4%
Space Separator
ValueCountFrequency (%)
565
100.0%
Open Punctuation
ValueCountFrequency (%)
( 57
100.0%
Close Punctuation
ValueCountFrequency (%)
) 57
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 3
100.0%
Math Symbol
ValueCountFrequency (%)
= 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5844
77.9%
Common 1126
 
15.0%
Latin 535
 
7.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
차 744
 
12.7%
기 597
 
10.2%
전 596
 
10.2%
주 456
 
7.8%
장 414
 
7.1%
충 290
 
5.0%
지 219
 
3.7%
하 185
 
3.2%
설 182
 
3.1%
대 155
 
2.7%
Other values (187) 2006
34.3%
Common
ValueCountFrequency (%)
565
50.2%
2 75
 
6.7%
1 65
 
5.8%
( 57
 
5.1%
) 57
 
5.1%
3 51
 
4.5%
5 49
 
4.4%
0 45
 
4.0%
4 36
 
3.2%
6 27
 
2.4%
Other values (12) 99
 
8.8%
Latin
ValueCountFrequency (%)
C 192
35.9%
T 96
17.9%
V 96
17.9%
c 72
 
13.5%
v 36
 
6.7%
t 36
 
6.7%
m 5
 
0.9%
L 1
 
0.2%
H 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5844
77.9%
ASCII 1658
 
22.1%
CJK Compat 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
차 744
 
12.7%
기 597
 
10.2%
전 596
 
10.2%
주 456
 
7.8%
장 414
 
7.1%
충 290
 
5.0%
지 219
 
3.7%
하 185
 
3.2%
설 182
 
3.1%
대 155
 
2.7%
Other values (187) 2006
34.3%
ASCII
ValueCountFrequency (%)
565
34.1%
C 192
 
11.6%
T 96
 
5.8%
V 96
 
5.8%
2 75
 
4.5%
c 72
 
4.3%
1 65
 
3.9%
( 57
 
3.4%
) 57
 
3.4%
3 51
 
3.1%
Other values (20) 332
20.0%
CJK Compat
ValueCountFrequency (%)
㎡ 3
100.0%

작업_일자
Real number (ℝ)

Distinct633
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20173327
Minimum20111227
Maximum20240510
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T15:30:16.878943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20111227
5-th percentile20111227
Q120111227
median20181205
Q320221047
95-th percentile20240510
Maximum20240510
Range129283
Interquartile range (IQR)109820.25

Descriptive statistics

Standard deviation51832.72
Coefficient of variation (CV)0.002569369
Kurtosis-1.6847781
Mean20173327
Median Absolute Deviation (MAD)59003
Skewness-0.065719381
Sum2.0173327 × 1011
Variance2.6866309 × 109
MonotonicityNot monotonic
2024-05-11T15:30:17.135811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20111227 2874
28.7%
20240510 978
 
9.8%
20120207 617
 
6.2%
20211029 367
 
3.7%
20180927 338
 
3.4%
20191203 310
 
3.1%
20240102 141
 
1.4%
20240208 121
 
1.2%
20230929 64
 
0.6%
20120208 49
 
0.5%
Other values (623) 4141
41.4%
ValueCountFrequency (%)
20111227 2874
28.7%
20120112 1
 
< 0.1%
20120113 1
 
< 0.1%
20120120 2
 
< 0.1%
20120128 1
 
< 0.1%
20120203 3
 
< 0.1%
20120204 1
 
< 0.1%
20120207 617
 
6.2%
20120208 49
 
0.5%
20120222 40
 
0.4%
ValueCountFrequency (%)
20240510 978
9.8%
20240507 24
 
0.2%
20240425 7
 
0.1%
20240420 40
 
0.4%
20240417 10
 
0.1%
20240416 1
 
< 0.1%
20240411 12
 
0.1%
20240406 7
 
0.1%
20240402 8
 
0.1%
20240330 9
 
0.1%

Interactions

2024-05-11T15:30:02.403569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:30:01.521638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:30:01.956971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:30:02.556180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:30:01.687798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:30:02.156790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:30:02.740933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:30:01.816999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:30:02.262737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T15:30:17.300503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부대시설_종류_코드변경전_단지외_현황전_부대_종류_코드작업_일자
부대시설_종류_코드1.0000.0000.9980.138
변경전_단지외_현황0.0001.0001.0000.000
전_부대_종류_코드0.9981.0001.0000.194
작업_일자0.1380.0000.1941.000
2024-05-11T15:30:17.483924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부대시설_종류_코드전_부대_종류_코드작업_일자
부대시설_종류_코드1.0000.9660.110
전_부대_종류_코드0.9661.0000.004
작업_일자0.1100.0041.000

Missing values

2024-05-11T15:30:02.998725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T15:30:03.297232image/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.
2024-05-11T15:30:03.591972image/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

관리_부대_시설_pk관리_주택대장_pk부대시설_종류_코드기타_시설_종류설치_현황단지내_현황단지외_현황변경전_설치_현황변경전_단지내_현황변경전_단지외_현황전_부대_종류_코드전_기타_시설_종류작업_일자
1520411440-17911440-2817<NA>1층 주출입구에 우편물 수취함 및 반송함 설치0<NA><NA><NA><NA><NA><NA>20111227
246911000-10000578911000-10000562518<NA><NA>122.22㎡<NA><NA><NA><NA><NA><NA>20240510
1658611470-124911470-200714<NA>구내통신선로 및 구내전화<NA><NA><NA><NA><NA><NA><NA>20191203
2460311620-100000000000000000565311620-100000000000000000916125전기차 충전소 설치전기차 충전소 설치 5개소 설치전기차 충전소 설치<NA><NA><NA><NA>25전기차 충전소 설치20220823
944011290-10000554411290-10002262325조경4833.77㎡대지면적의 39%<NA><NA><NA><NA><NA><NA>20220104
2469211620-10000200611620-10000446113<NA>시상하수와 연결시상하수와 연결<NA><NA><NA><NA><NA><NA>20120208
1333611380-10000528211380-10001244318<NA>44.124㎡<NA><NA><NA><NA><NA><NA><NA>20240102
2209511560-10000222411560-10000404131펌프실1개소(52.75㎡)지하2층<NA><NA><NA><NA><NA><NA>20111227
551911200-31011200-9031<NA>92ton<NA><NA><NA><NA><NA><NA><NA>20111227
629711215-26911215-45325<NA>폐기물보관시설-차량및 주민 이용이 편리한곳에 설치<NA><NA><NA><NA><NA><NA><NA>20111227
관리_부대_시설_pk관리_주택대장_pk부대시설_종류_코드기타_시설_종류설치_현황단지내_현황단지외_현황변경전_설치_현황변경전_단지내_현황변경전_단지외_현황전_부대_종류_코드전_기타_시설_종류작업_일자
19411000-100000000000000019557511000-10000706525기계/전기/발전기실지하3층지하층<NA><NA><NA><NA><NA><NA>20240510
781411260-10000334411260-10001113519<NA>21개소21개소<NA><NA><NA><NA><NA><NA>20170928
1112311320-43611320-15116<NA>현황686대자주식철골주차장(216대분 설치) 총174대증가<NA><NA><NA><NA><NA><NA>20120207
529511200-10000472111200-10004873425CCTVCCTV 77대(6대 증설)CCTV 77대(6대 증설)<NA>CCTV 71대CCTV 71대<NA><NA>CCTV20220222
569211200-46811200-13712<NA>동측으로 동호대로 35M와 북측으로 8M도로가 있음.단지내 진입로 3.5M 2차로, 4M보도 설치동측으로 10M도로 확보함.<NA><NA><NA><NA><NA>20111227
648611230-10000216111230-10000536317우편물수취함우편물설치함<NA><NA><NA><NA><NA><NA><NA>20120207
2179411545-28911545-3214<NA>세대별 구내 통신선로 설비설치, 경비실과 세대간 구내전화 설치<NA><NA><NA><NA><NA><NA><NA>20111227
1825311500-10000434911500-10001313016<NA>지하주차장,기계주차장(1037.41㎡)<NA><NA><NA><NA><NA><NA><NA>20200702
2067311530-10000740111530-10002508816전기차충전소4기(완속)<NA><NA>0기<NA><NA>16전기차충전소20211211
964211290-19311290-6511<NA><NA>23평형:3.5kw<NA><NA><NA><NA><NA><NA>20111227