Overview

Dataset statistics

Number of variables25
Number of observations4242
Missing cells13913
Missing cells (%)13.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory890.8 KiB
Average record size in memory215.0 B

Variable types

Numeric8
Unsupported1
Text4
Categorical9
Boolean1
DateTime2

Dataset

Description주택정보 호실 번호,주택코드,평면도이미지 타입,방 이름,입주타입-01:1인1실, 02:2인1실, 03:3인1실, 04:기타,면적,보증금,월임대료,관리비,층,호,실,입주가능인원,입주가능일,입주신청상태여부-y:입주신청중, n:입주마감,사용여부,등록자-uniq_id 입력,등록일,수정자-uniq_id 입력,수정일,전세금,주거형태-01:기타, 02:다세대주택, 03:도시형생활주택, 04:연립주택, 05:단독주택, 06:아파트, 07:기숙사, 08:근린생활시설,공동사용면적,분양 매매가,정렬
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-22127/S/1/datasetView.do

Alerts

사용여부 has constant value ""Constant
입주타입-01:1인1실, 02:2인1실, 03:3인1실, 04:기타 is highly imbalanced (50.8%)Imbalance
실 is highly imbalanced (99.2%)Imbalance
입주신청상태여부-y:입주신청중, n:입주마감 is highly imbalanced (67.9%)Imbalance
수정자-uniq_id 입력 is highly imbalanced (72.2%)Imbalance
전세금 is highly imbalanced (98.8%)Imbalance
주거형태-01:기타, 02:다세대주택, 03:도시형생활주택, 04:연립주택, 05:단독주택, 06:아파트, 07:기숙사, 08:근린생활시설 is highly imbalanced (98.7%)Imbalance
공동사용면적 is highly imbalanced (99.4%)Imbalance
분양 매매가 is highly imbalanced (99.4%)Imbalance
평면도이미지 타입 has 4242 (100.0%) missing valuesMissing
입주가능일 has 2446 (57.7%) missing valuesMissing
사용여부 has 3433 (80.9%) missing valuesMissing
정렬 has 3697 (87.2%) missing valuesMissing
면적 is highly skewed (γ1 = 22.64438461)Skewed
입주가능인원 is highly skewed (γ1 = 54.45528387)Skewed
주택정보 호실 번호 has unique valuesUnique
평면도이미지 타입 is an unsupported type, check if it needs cleaning or further analysisUnsupported
면적 has 91 (2.1%) zerosZeros
보증금 has 111 (2.6%) zerosZeros
월임대료 has 127 (3.0%) zerosZeros
관리비 has 1420 (33.5%) zerosZeros
정렬 has 56 (1.3%) zerosZeros

Reproduction

Analysis started2024-05-11 05:46:00.898026
Analysis finished2024-05-11 05:46:01.729755
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주택정보 호실 번호
Real number (ℝ)

UNIQUE 

Distinct4242
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124123.68
Minimum100035
Maximum135845
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.4 KiB
2024-05-11T14:46:01.829069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100035
5-th percentile100574.05
Q1114887.25
median130381.5
Q3131851.75
95-th percentile135632.95
Maximum135845
Range35810
Interquartile range (IQR)16964.5

Descriptive statistics

Standard deviation12725.628
Coefficient of variation (CV)0.10252377
Kurtosis-0.69063479
Mean124123.68
Median Absolute Deviation (MAD)3126.5
Skewness-1.0276089
Sum5.2653266 × 108
Variance1.619416 × 108
MonotonicityNot monotonic
2024-05-11T14:46:02.033293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
135244 1
 
< 0.1%
129903 1
 
< 0.1%
129889 1
 
< 0.1%
129890 1
 
< 0.1%
129891 1
 
< 0.1%
129892 1
 
< 0.1%
129893 1
 
< 0.1%
129894 1
 
< 0.1%
129895 1
 
< 0.1%
129896 1
 
< 0.1%
Other values (4232) 4232
99.8%
ValueCountFrequency (%)
100035 1
< 0.1%
100036 1
< 0.1%
100037 1
< 0.1%
100041 1
< 0.1%
100042 1
< 0.1%
100043 1
< 0.1%
100083 1
< 0.1%
100084 1
< 0.1%
100101 1
< 0.1%
100102 1
< 0.1%
ValueCountFrequency (%)
135845 1
< 0.1%
135844 1
< 0.1%
135843 1
< 0.1%
135842 1
< 0.1%
135841 1
< 0.1%
135840 1
< 0.1%
135839 1
< 0.1%
135838 1
< 0.1%
135837 1
< 0.1%
135836 1
< 0.1%

주택코드
Real number (ℝ)

Distinct364
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13181287
Minimum10000000
Maximum20000539
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.4 KiB
2024-05-11T14:46:02.257638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10000000
5-th percentile10000665
Q110001286
median10001962
Q320000237
95-th percentile20000510
Maximum20000539
Range10000539
Interquartile range (IQR)9998951

Descriptive statistics

Standard deviation4657015.8
Coefficient of variation (CV)0.3533051
Kurtosis-1.3893735
Mean13181287
Median Absolute Deviation (MAD)776
Skewness0.78184506
Sum5.5915018 × 1010
Variance2.1687796 × 1013
MonotonicityNot monotonic
2024-05-11T14:46:02.486496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10001186 108
 
2.5%
10001622 83
 
2.0%
10001421 58
 
1.4%
10000891 56
 
1.3%
10001561 48
 
1.1%
10000669 48
 
1.1%
20000499 47
 
1.1%
20000530 42
 
1.0%
10002143 41
 
1.0%
10002588 40
 
0.9%
Other values (354) 3671
86.5%
ValueCountFrequency (%)
10000000 4
 
0.1%
10000001 1
 
< 0.1%
10000006 3
 
0.1%
10000010 2
 
< 0.1%
10000017 3
 
0.1%
10000018 10
0.2%
10000404 2
 
< 0.1%
10000425 6
0.1%
10000427 1
 
< 0.1%
10000478 1
 
< 0.1%
ValueCountFrequency (%)
20000539 20
0.5%
20000536 16
 
0.4%
20000530 42
1.0%
20000528 11
 
0.3%
20000527 28
0.7%
20000524 10
 
0.2%
20000523 12
 
0.3%
20000522 5
 
0.1%
20000520 6
 
0.1%
20000519 10
 
0.2%

평면도이미지 타입
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4242
Missing (%)100.0%
Memory size37.4 KiB

방 이름
Text

Distinct1249
Distinct (%)29.4%
Missing0
Missing (%)0.0%
Memory size33.3 KiB
2024-05-11T14:46:03.052433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length12
Mean length4.0561056
Min length1

Characters and Unicode

Total characters17206
Distinct characters165
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

Unique887 ?
Unique (%)20.9%

Sample

1st row201
2nd row202
3rd row203
4th rowb305
5th rowc101
ValueCountFrequency (%)
201 121
 
2.5%
202 117
 
2.4%
301 105
 
2.2%
203 104
 
2.2%
302 101
 
2.1%
401 94
 
2.0%
303 94
 
2.0%
402 86
 
1.8%
501 85
 
1.8%
여성 83
 
1.7%
Other values (943) 3812
79.4%
2024-05-11T14:46:04.315744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3478
20.2%
2 2183
12.7%
1 1938
11.3%
3 1700
9.9%
호 1167
 
6.8%
4 1090
 
6.3%
5 772
 
4.5%
동 582
 
3.4%
567
 
3.3%
- 382
 
2.2%
Other values (155) 3347
19.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11658
67.8%
Other Letter 2994
 
17.4%
Uppercase Letter 852
 
5.0%
Space Separator 567
 
3.3%
Lowercase Letter 415
 
2.4%
Dash Punctuation 382
 
2.2%
Other Punctuation 128
 
0.7%
Close Punctuation 95
 
0.6%
Open Punctuation 93
 
0.5%
Connector Punctuation 19
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 1167
39.0%
동 582
19.4%
성 103
 
3.4%
여 100
 
3.3%
룸 67
 
2.2%
인 57
 
1.9%
나 56
 
1.9%
가 54
 
1.8%
형 50
 
1.7%
방 43
 
1.4%
Other values (98) 715
23.9%
Uppercase Letter
ValueCountFrequency (%)
A 238
27.9%
B 188
22.1%
C 111
13.0%
D 56
 
6.6%
R 46
 
5.4%
F 41
 
4.8%
E 34
 
4.0%
G 33
 
3.9%
T 28
 
3.3%
O 25
 
2.9%
Other values (10) 52
 
6.1%
Lowercase Letter
ValueCountFrequency (%)
o 76
18.3%
a 71
17.1%
b 52
12.5%
m 38
9.2%
c 38
9.2%
t 32
7.7%
y 28
 
6.7%
e 28
 
6.7%
p 24
 
5.8%
d 8
 
1.9%
Other values (7) 20
 
4.8%
Decimal Number
ValueCountFrequency (%)
0 3478
29.8%
2 2183
18.7%
1 1938
16.6%
3 1700
14.6%
4 1090
 
9.3%
5 772
 
6.6%
6 234
 
2.0%
7 121
 
1.0%
8 83
 
0.7%
9 59
 
0.5%
Other Punctuation
ValueCountFrequency (%)
/ 117
91.4%
; 5
 
3.9%
& 4
 
3.1%
' 2
 
1.6%
Space Separator
ValueCountFrequency (%)
567
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 382
100.0%
Close Punctuation
ValueCountFrequency (%)
) 95
100.0%
Open Punctuation
ValueCountFrequency (%)
( 93
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 19
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12945
75.2%
Hangul 2994
 
17.4%
Latin 1267
 
7.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 1167
39.0%
동 582
19.4%
성 103
 
3.4%
여 100
 
3.3%
룸 67
 
2.2%
인 57
 
1.9%
나 56
 
1.9%
가 54
 
1.8%
형 50
 
1.7%
방 43
 
1.4%
Other values (98) 715
23.9%
Latin
ValueCountFrequency (%)
A 238
18.8%
B 188
14.8%
C 111
 
8.8%
o 76
 
6.0%
a 71
 
5.6%
D 56
 
4.4%
b 52
 
4.1%
R 46
 
3.6%
F 41
 
3.2%
m 38
 
3.0%
Other values (27) 350
27.6%
Common
ValueCountFrequency (%)
0 3478
26.9%
2 2183
16.9%
1 1938
15.0%
3 1700
13.1%
4 1090
 
8.4%
5 772
 
6.0%
567
 
4.4%
- 382
 
3.0%
6 234
 
1.8%
7 121
 
0.9%
Other values (10) 480
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14212
82.6%
Hangul 2994
 
17.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3478
24.5%
2 2183
15.4%
1 1938
13.6%
3 1700
12.0%
4 1090
 
7.7%
5 772
 
5.4%
567
 
4.0%
- 382
 
2.7%
A 238
 
1.7%
6 234
 
1.6%
Other values (47) 1630
11.5%
Hangul
ValueCountFrequency (%)
호 1167
39.0%
동 582
19.4%
성 103
 
3.4%
여 100
 
3.3%
룸 67
 
2.2%
인 57
 
1.9%
나 56
 
1.9%
가 54
 
1.8%
형 50
 
1.7%
방 43
 
1.4%
Other values (98) 715
23.9%

입주타입-01:1인1실, 02:2인1실, 03:3인1실, 04:기타
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.3 KiB
1
3172 
4
547 
2
450 
3
 
71
<NA>
 
2

Length

Max length4
Median length1
Mean length1.0014144
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 3172
74.8%
4 547
 
12.9%
2 450
 
10.6%
3 71
 
1.7%
<NA> 2
 
< 0.1%

Length

2024-05-11T14:46:04.579200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:04.810033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3172
74.8%
4 547
 
12.9%
2 450
 
10.6%
3 71
 
1.7%
na 2
 
< 0.1%

면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct1290
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.323654
Minimum0
Maximum1212
Zeros91
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size37.4 KiB
2024-05-11T14:46:05.044527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q114
median27.245
Q337.045
95-th percentile56.12
Maximum1212
Range1212
Interquartile range (IQR)23.045

Descriptive statistics

Standard deviation30.477112
Coefficient of variation (CV)1.0760304
Kurtosis792.93011
Mean28.323654
Median Absolute Deviation (MAD)12.425
Skewness22.644385
Sum120148.94
Variance928.85437
MonotonicityNot monotonic
2024-05-11T14:46:05.297462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.0 116
 
2.7%
0.0 91
 
2.1%
7.0 80
 
1.9%
10.0 69
 
1.6%
6.0 54
 
1.3%
9.0 44
 
1.0%
29.3 34
 
0.8%
11.0 33
 
0.8%
29.4 33
 
0.8%
12.0 31
 
0.7%
Other values (1280) 3657
86.2%
ValueCountFrequency (%)
0.0 91
2.1%
1.0 12
 
0.3%
2.0 4
 
0.1%
3.0 2
 
< 0.1%
3.1 1
 
< 0.1%
4.0 1
 
< 0.1%
4.3 2
 
< 0.1%
4.5 1
 
< 0.1%
4.74 1
 
< 0.1%
4.84 1
 
< 0.1%
ValueCountFrequency (%)
1212.0 1
 
< 0.1%
1000.0 1
 
< 0.1%
500.0 1
 
< 0.1%
165.0 5
0.1%
154.07 1
 
< 0.1%
133.2 1
 
< 0.1%
129.13 1
 
< 0.1%
126.29 1
 
< 0.1%
124.11 2
 
< 0.1%
123.0 5
0.1%

보증금
Real number (ℝ)

ZEROS 

Distinct1071
Distinct (%)25.4%
Missing22
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean28780327
Minimum0
Maximum1.126357 × 109
Zeros111
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size37.4 KiB
2024-05-11T14:46:05.534235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile500000
Q13000000
median14820000
Q325392500
95-th percentile1.30005 × 108
Maximum1.126357 × 109
Range1.126357 × 109
Interquartile range (IQR)22392500

Descriptive statistics

Standard deviation50808601
Coefficient of variation (CV)1.7653934
Kurtosis66.244625
Mean28780327
Median Absolute Deviation (MAD)11245000
Skewness5.5065811
Sum1.2145298 × 1011
Variance2.5815139 × 1015
MonotonicityNot monotonic
2024-05-11T14:46:05.787222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5000000 264
 
6.2%
3000000 260
 
6.1%
1000000 214
 
5.0%
20000000 191
 
4.5%
500000 123
 
2.9%
0 111
 
2.6%
2000000 81
 
1.9%
10000000 80
 
1.9%
40000000 68
 
1.6%
8000000 53
 
1.2%
Other values (1061) 2775
65.4%
ValueCountFrequency (%)
0 111
2.6%
1 5
 
0.1%
2 4
 
0.1%
3 2
 
< 0.1%
11 3
 
0.1%
122 1
 
< 0.1%
123 1
 
< 0.1%
213 1
 
< 0.1%
450 1
 
< 0.1%
500 11
 
0.3%
ValueCountFrequency (%)
1126357000 1
< 0.1%
479200000 2
< 0.1%
456940000 1
< 0.1%
426987000 1
< 0.1%
413100000 2
< 0.1%
404100000 2
< 0.1%
403600000 2
< 0.1%
398200000 2
< 0.1%
370807000 2
< 0.1%
353381000 1
< 0.1%

월임대료
Real number (ℝ)

ZEROS 

Distinct1157
Distinct (%)27.4%
Missing22
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean302582.17
Minimum0
Maximum3068500
Zeros127
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size37.4 KiB
2024-05-11T14:46:06.041366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30000
Q1195900
median299100
Q3387150
95-th percentile560000
Maximum3068500
Range3068500
Interquartile range (IQR)191250

Descriptive statistics

Standard deviation186010.28
Coefficient of variation (CV)0.61474304
Kurtosis49.687154
Mean302582.17
Median Absolute Deviation (MAD)95100
Skewness4.1017667
Sum1.2768967 × 109
Variance3.4599825 × 1010
MonotonicityNot monotonic
2024-05-11T14:46:06.357729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 127
 
3.0%
300000 116
 
2.7%
330000 79
 
1.9%
350000 70
 
1.7%
400000 67
 
1.6%
450000 58
 
1.4%
150000 56
 
1.3%
380000 56
 
1.3%
390000 54
 
1.3%
310000 48
 
1.1%
Other values (1147) 3489
82.2%
ValueCountFrequency (%)
0 127
3.0%
1 6
 
0.1%
2 2
 
< 0.1%
3 4
 
0.1%
11 2
 
< 0.1%
12 1
 
< 0.1%
40 11
 
0.3%
123 1
 
< 0.1%
213 1
 
< 0.1%
1000 10
 
0.2%
ValueCountFrequency (%)
3068500 4
0.1%
1550000 1
 
< 0.1%
1500000 1
 
< 0.1%
1450000 1
 
< 0.1%
1400000 2
< 0.1%
1380000 1
 
< 0.1%
1350000 2
< 0.1%
1340000 2
< 0.1%
1330000 1
 
< 0.1%
1300000 2
< 0.1%

관리비
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)1.3%
Missing5
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean35562.793
Minimum0
Maximum800000
Zeros1420
Zeros (%)33.5%
Negative0
Negative (%)0.0%
Memory size37.4 KiB
2024-05-11T14:46:06.583640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median40000
Q360000
95-th percentile90000
Maximum800000
Range800000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation37129.884
Coefficient of variation (CV)1.0440655
Kurtosis58.987618
Mean35562.793
Median Absolute Deviation (MAD)30000
Skewness3.9168575
Sum1.5067955 × 108
Variance1.3786283 × 109
MonotonicityNot monotonic
2024-05-11T14:46:06.901730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1420
33.5%
50000 912
21.5%
60000 353
 
8.3%
70000 286
 
6.7%
30000 200
 
4.7%
20000 170
 
4.0%
80000 137
 
3.2%
10000 135
 
3.2%
90000 128
 
3.0%
40000 92
 
2.2%
Other values (44) 404
 
9.5%
ValueCountFrequency (%)
0 1420
33.5%
1 26
 
0.6%
2 4
 
0.1%
3 2
 
< 0.1%
4 1
 
< 0.1%
5 5
 
0.1%
7 1
 
< 0.1%
10 6
 
0.1%
11 1
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
800000 1
 
< 0.1%
600000 1
 
< 0.1%
333333 1
 
< 0.1%
300000 7
0.2%
200000 1
 
< 0.1%
180000 3
 
0.1%
160000 6
0.1%
150000 12
0.3%
140000 6
0.1%
120000 14
0.3%

층
Categorical

Distinct30
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size33.3 KiB
2
1059 
3
1022 
4
787 
5
573 
1
442 
Other values (25)
359 

Length

Max length3
Median length1
Mean length1.0266384
Min length1

Unique

Unique5 ?
Unique (%)0.1%

Sample

1st row2
2nd row2
3rd row2
4th row3
5th row1

Common Values

ValueCountFrequency (%)
2 1059
25.0%
3 1022
24.1%
4 787
18.6%
5 573
13.5%
1 442
10.4%
6 92
 
2.2%
7 58
 
1.4%
8 45
 
1.1%
0 32
 
0.8%
9 28
 
0.7%
Other values (20) 104
 
2.5%

Length

2024-05-11T14:46:07.129150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2 1059
25.0%
3 1022
24.1%
4 787
18.6%
5 573
13.5%
1 446
10.5%
6 92
 
2.2%
7 58
 
1.4%
8 45
 
1.1%
0 32
 
0.8%
9 28
 
0.7%
Other values (19) 100
 
2.4%

호
Text

Distinct221
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size33.3 KiB
2024-05-11T14:46:07.393272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length1
Mean length1.898397
Min length1

Characters and Unicode

Total characters8053
Distinct characters25
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)2.7%

Sample

1st row1
2nd row2
3rd row3
4th row5
5th row1
ValueCountFrequency (%)
1 981
23.1%
2 517
 
12.2%
3 363
 
8.6%
4 240
 
5.7%
201 131
 
3.1%
5 126
 
3.0%
301 125
 
2.9%
302 104
 
2.5%
202 103
 
2.4%
401 101
 
2.4%
Other values (210) 1451
34.2%
2024-05-11T14:46:07.875839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1804
22.4%
1 1795
22.3%
2 1473
18.3%
3 1141
14.2%
4 790
9.8%
5 511
 
6.3%
6 180
 
2.2%
7 95
 
1.2%
- 69
 
0.9%
8 57
 
0.7%
Other values (15) 138
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7893
98.0%
Dash Punctuation 69
 
0.9%
Uppercase Letter 65
 
0.8%
Other Letter 17
 
0.2%
Lowercase Letter 9
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1804
22.9%
1 1795
22.7%
2 1473
18.7%
3 1141
14.5%
4 790
10.0%
5 511
 
6.5%
6 180
 
2.3%
7 95
 
1.2%
8 57
 
0.7%
9 47
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
B 21
32.3%
A 18
27.7%
C 8
 
12.3%
E 7
 
10.8%
O 3
 
4.6%
N 3
 
4.6%
D 2
 
3.1%
F 1
 
1.5%
G 1
 
1.5%
H 1
 
1.5%
Other Letter
ValueCountFrequency (%)
호 15
88.2%
층 2
 
11.8%
Lowercase Letter
ValueCountFrequency (%)
a 6
66.7%
b 3
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7962
98.9%
Latin 74
 
0.9%
Hangul 17
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
B 21
28.4%
A 18
24.3%
C 8
 
10.8%
E 7
 
9.5%
a 6
 
8.1%
b 3
 
4.1%
O 3
 
4.1%
N 3
 
4.1%
D 2
 
2.7%
F 1
 
1.4%
Other values (2) 2
 
2.7%
Common
ValueCountFrequency (%)
0 1804
22.7%
1 1795
22.5%
2 1473
18.5%
3 1141
14.3%
4 790
9.9%
5 511
 
6.4%
6 180
 
2.3%
7 95
 
1.2%
- 69
 
0.9%
8 57
 
0.7%
Hangul
ValueCountFrequency (%)
호 15
88.2%
층 2
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8036
99.8%
Hangul 17
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1804
22.4%
1 1795
22.3%
2 1473
18.3%
3 1141
14.2%
4 790
9.8%
5 511
 
6.4%
6 180
 
2.2%
7 95
 
1.2%
- 69
 
0.9%
8 57
 
0.7%
Other values (13) 121
 
1.5%
Hangul
ValueCountFrequency (%)
호 15
88.2%
층 2
 
11.8%

실
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.3 KiB
<NA>
4239 
1
 
3

Length

Max length4
Median length4
Mean length3.9978784
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 4239
99.9%
1 3
 
0.1%

Length

2024-05-11T14:46:08.054072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:08.195173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4239
99.9%
1 3
 
0.1%

입주가능인원
Real number (ℝ)

SKEWED 

Distinct15
Distinct (%)0.4%
Missing5
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.5640784
Minimum0
Maximum213
Zeros30
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size37.4 KiB
2024-05-11T14:46:08.332309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum213
Range213
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.4506453
Coefficient of variation (CV)2.2061844
Kurtosis3329.7684
Mean1.5640784
Median Absolute Deviation (MAD)0
Skewness54.455284
Sum6627
Variance11.906953
MonotonicityNot monotonic
2024-05-11T14:46:08.521097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 3128
73.7%
2 568
 
13.4%
3 164
 
3.9%
4 163
 
3.8%
5 152
 
3.6%
0 30
 
0.7%
6 16
 
0.4%
9 5
 
0.1%
11 3
 
0.1%
7 2
 
< 0.1%
Other values (5) 6
 
0.1%
(Missing) 5
 
0.1%
ValueCountFrequency (%)
0 30
 
0.7%
1 3128
73.7%
2 568
 
13.4%
3 164
 
3.9%
4 163
 
3.8%
5 152
 
3.6%
6 16
 
0.4%
7 2
 
< 0.1%
8 1
 
< 0.1%
9 5
 
0.1%
ValueCountFrequency (%)
213 1
 
< 0.1%
16 1
 
< 0.1%
12 2
 
< 0.1%
11 3
 
0.1%
10 1
 
< 0.1%
9 5
 
0.1%
8 1
 
< 0.1%
7 2
 
< 0.1%
6 16
 
0.4%
5 152
3.6%

입주가능일
Text

MISSING 

Distinct345
Distinct (%)19.2%
Missing2446
Missing (%)57.7%
Memory size33.3 KiB
2024-05-11T14:46:08.838936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length6.1659243
Min length1

Characters and Unicode

Total characters11074
Distinct characters72
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

Unique215 ?
Unique (%)12.0%

Sample

1st row20231010
2nd row20231010
3rd row20231010
4th row2022.09.01
5th row20231010
ValueCountFrequency (%)
313
 
16.1%
1 152
 
7.8%
2019.9.2 85
 
4.4%
공고문 80
 
4.1%
확인 80
 
4.1%
서류심사통과(6~8주)후 67
 
3.4%
상시 48
 
2.5%
2023-08-21 47
 
2.4%
입주확정 46
 
2.4%
2024-02-16 42
 
2.2%
Other values (341) 985
50.6%
2024-05-11T14:46:09.393985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 2039
18.4%
0 1886
17.0%
1 1374
12.4%
- 1173
10.6%
. 564
 
5.1%
3 404
 
3.6%
8 376
 
3.4%
9 344
 
3.1%
7 213
 
1.9%
6 191
 
1.7%
Other values (62) 2510
22.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7117
64.3%
Other Letter 1812
 
16.4%
Dash Punctuation 1173
 
10.6%
Other Punctuation 571
 
5.2%
Space Separator 166
 
1.5%
Math Symbol 69
 
0.6%
Close Punctuation 67
 
0.6%
Open Punctuation 67
 
0.6%
Lowercase Letter 17
 
0.2%
Uppercase Letter 15
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 156
 
8.6%
확 126
 
7.0%
입 87
 
4.8%
공 82
 
4.5%
문 81
 
4.5%
고 80
 
4.4%
인 80
 
4.4%
정 75
 
4.1%
후 74
 
4.1%
시 70
 
3.9%
Other values (43) 901
49.7%
Decimal Number
ValueCountFrequency (%)
2 2039
28.6%
0 1886
26.5%
1 1374
19.3%
3 404
 
5.7%
8 376
 
5.3%
9 344
 
4.8%
7 213
 
3.0%
6 191
 
2.7%
4 190
 
2.7%
5 100
 
1.4%
Other Punctuation
ValueCountFrequency (%)
. 564
98.8%
/ 7
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 1173
100.0%
Space Separator
ValueCountFrequency (%)
166
100.0%
Math Symbol
ValueCountFrequency (%)
~ 69
100.0%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%
Lowercase Letter
ValueCountFrequency (%)
x 17
100.0%
Uppercase Letter
ValueCountFrequency (%)
X 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9230
83.3%
Hangul 1812
 
16.4%
Latin 32
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 156
 
8.6%
확 126
 
7.0%
입 87
 
4.8%
공 82
 
4.5%
문 81
 
4.5%
고 80
 
4.4%
인 80
 
4.4%
정 75
 
4.1%
후 74
 
4.1%
시 70
 
3.9%
Other values (43) 901
49.7%
Common
ValueCountFrequency (%)
2 2039
22.1%
0 1886
20.4%
1 1374
14.9%
- 1173
12.7%
. 564
 
6.1%
3 404
 
4.4%
8 376
 
4.1%
9 344
 
3.7%
7 213
 
2.3%
6 191
 
2.1%
Other values (7) 666
 
7.2%
Latin
ValueCountFrequency (%)
x 17
53.1%
X 15
46.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9262
83.6%
Hangul 1811
 
16.4%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 2039
22.0%
0 1886
20.4%
1 1374
14.8%
- 1173
12.7%
. 564
 
6.1%
3 404
 
4.4%
8 376
 
4.1%
9 344
 
3.7%
7 213
 
2.3%
6 191
 
2.1%
Other values (9) 698
 
7.5%
Hangul
ValueCountFrequency (%)
주 156
 
8.6%
확 126
 
7.0%
입 87
 
4.8%
공 82
 
4.5%
문 81
 
4.5%
고 80
 
4.4%
인 80
 
4.4%
정 75
 
4.1%
후 74
 
4.1%
시 70
 
3.9%
Other values (42) 900
49.7%
Compat Jamo
ValueCountFrequency (%)
ㅌ 1
100.0%

입주신청상태여부-y:입주신청중, n:입주마감
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.3 KiB
N
3575 
Y
580 
<NA>
 
45
B
 
30
A
 
12

Length

Max length4
Median length1
Mean length1.0318246
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
N 3575
84.3%
Y 580
 
13.7%
<NA> 45
 
1.1%
B 30
 
0.7%
A 12
 
0.3%

Length

2024-05-11T14:46:09.560220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:09.776123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 3575
84.3%
y 580
 
13.7%
na 45
 
1.1%
b 30
 
0.7%
a 12
 
0.3%

사용여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.1%
Missing3433
Missing (%)80.9%
Memory size8.4 KiB
True
809 
(Missing)
3433 
ValueCountFrequency (%)
True 809
 
19.1%
(Missing) 3433
80.9%
2024-05-11T14:46:09.948159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

등록자-uniq_id 입력
Text

Distinct62
Distinct (%)1.5%
Missing41
Missing (%)1.0%
Memory size33.3 KiB
2024-05-11T14:46:10.170616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length7
Mean length12.820043
Min length5

Characters and Unicode

Total characters53857
Distinct characters29
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.1%

Sample

1st rowUSRCNFRM_00000005654
2nd rowUSRCNFRM_00000005654
3rd rowUSRCNFRM_00000005654
4th rowUSRCNFRM_00000001170
5th rowUSRCNFRM_00000001170
ValueCountFrequency (%)
cohouse 1555
37.0%
sohouse 546
 
13.0%
usrcnfrm_00000001170 306
 
7.3%
usrcnfrm_00000001041 249
 
5.9%
admin 190
 
4.5%
usrcnfrm_00000005654 168
 
4.0%
usrcnfrm_00000001150 127
 
3.0%
usrcnfrm_00000001080 113
 
2.7%
usrcnfrm_00000000836 108
 
2.6%
usrcnfrm_00000001312 80
 
1.9%
Other values (52) 759
18.1%
2024-05-11T14:46:10.716306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 14859
27.6%
o 4202
 
7.8%
R 3820
 
7.1%
s 2647
 
4.9%
1 2314
 
4.3%
h 2101
 
3.9%
u 2101
 
3.9%
e 2101
 
3.9%
U 1910
 
3.5%
S 1910
 
3.5%
Other values (19) 15892
29.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21010
39.0%
Lowercase Letter 15657
29.1%
Uppercase Letter 15280
28.4%
Connector Punctuation 1910
 
3.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 4202
26.8%
s 2647
16.9%
h 2101
13.4%
u 2101
13.4%
e 2101
13.4%
c 1555
 
9.9%
a 190
 
1.2%
d 190
 
1.2%
m 190
 
1.2%
i 190
 
1.2%
Decimal Number
ValueCountFrequency (%)
0 14859
70.7%
1 2314
 
11.0%
5 702
 
3.3%
4 677
 
3.2%
6 662
 
3.2%
7 487
 
2.3%
3 463
 
2.2%
8 348
 
1.7%
2 306
 
1.5%
9 192
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
R 3820
25.0%
U 1910
12.5%
S 1910
12.5%
C 1910
12.5%
N 1910
12.5%
F 1910
12.5%
M 1910
12.5%
Connector Punctuation
ValueCountFrequency (%)
_ 1910
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 30937
57.4%
Common 22920
42.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 4202
13.6%
R 3820
12.3%
s 2647
8.6%
h 2101
 
6.8%
u 2101
 
6.8%
e 2101
 
6.8%
U 1910
 
6.2%
S 1910
 
6.2%
C 1910
 
6.2%
N 1910
 
6.2%
Other values (8) 6325
20.4%
Common
ValueCountFrequency (%)
0 14859
64.8%
1 2314
 
10.1%
_ 1910
 
8.3%
5 702
 
3.1%
4 677
 
3.0%
6 662
 
2.9%
7 487
 
2.1%
3 463
 
2.0%
8 348
 
1.5%
2 306
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 53857
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 14859
27.6%
o 4202
 
7.8%
R 3820
 
7.1%
s 2647
 
4.9%
1 2314
 
4.3%
h 2101
 
3.9%
u 2101
 
3.9%
e 2101
 
3.9%
U 1910
 
3.5%
S 1910
 
3.5%
Other values (19) 15892
29.5%

등록일
Date

Distinct438
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size33.3 KiB
Minimum2017-05-15 14:55:50
Maximum2024-05-09 19:18:54
2024-05-11T14:46:11.006247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:46:11.203328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수정자-uniq_id 입력
Categorical

IMBALANCE 

Distinct26
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size33.3 KiB
<NA>
3479 
USRCNFRM_00000001041
 
198
USRCNFRM_00000001122
 
136
USRCNFRM_00000000836
 
86
USRCNFRM_00000001309
 
58
Other values (21)
 
285

Length

Max length20
Median length4
Mean length6.8778878
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 3479
82.0%
USRCNFRM_00000001041 198
 
4.7%
USRCNFRM_00000001122 136
 
3.2%
USRCNFRM_00000000836 86
 
2.0%
USRCNFRM_00000001309 58
 
1.4%
USRCNFRM_00000001314 38
 
0.9%
USRCNFRM_00000000003 38
 
0.9%
USRCNFRM_00000001090 36
 
0.8%
USRCNFRM_00000001170 33
 
0.8%
USRCNFRM_00000003942 32
 
0.8%
Other values (16) 108
 
2.5%

Length

2024-05-11T14:46:11.413812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3479
82.0%
usrcnfrm_00000001041 198
 
4.7%
usrcnfrm_00000001122 136
 
3.2%
usrcnfrm_00000000836 86
 
2.0%
usrcnfrm_00000001309 58
 
1.4%
usrcnfrm_00000001314 38
 
0.9%
usrcnfrm_00000000003 38
 
0.9%
usrcnfrm_00000001090 36
 
0.8%
usrcnfrm_00000001170 33
 
0.8%
usrcnfrm_00000003942 32
 
0.8%
Other values (16) 108
 
2.5%

수정일
Date

Distinct380
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size33.3 KiB
Minimum2017-07-06 14:38:19
Maximum2024-05-09 19:18:54
2024-05-11T14:46:11.637981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:46:11.820611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

전세금
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.3 KiB
<NA>
4231 
1
 
5
100000000
 
2
2
 
2
180000000
 
1

Length

Max length9
Median length4
Mean length3.9997643
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 4231
99.7%
1 5
 
0.1%
100000000 2
 
< 0.1%
2 2
 
< 0.1%
180000000 1
 
< 0.1%
200000000 1
 
< 0.1%

Length

2024-05-11T14:46:11.999676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:12.135966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4231
99.7%
1 5
 
0.1%
100000000 2
 
< 0.1%
2 2
 
< 0.1%
180000000 1
 
< 0.1%
200000000 1
 
< 0.1%

주거형태-01:기타, 02:다세대주택, 03:도시형생활주택, 04:연립주택, 05:단독주택, 06:아파트, 07:기숙사, 08:근린생활시설
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.3 KiB
<NA>
4237 
1
 
5

Length

Max length4
Median length4
Mean length3.9964639
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 4237
99.9%
1 5
 
0.1%

Length

2024-05-11T14:46:12.326251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:12.493088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4237
99.9%
1 5
 
0.1%

공동사용면적
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.3 KiB
<NA>
4237 
20.0
 
1
50.25
 
1
2121.0
 
1
2112.0
 
1

Length

Max length6
Median length4
Mean length4.0011787
Min length4

Unique

Unique5 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 4237
99.9%
20.0 1
 
< 0.1%
50.25 1
 
< 0.1%
2121.0 1
 
< 0.1%
2112.0 1
 
< 0.1%
11.1 1
 
< 0.1%

Length

2024-05-11T14:46:12.678511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:12.856994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4237
99.9%
20.0 1
 
< 0.1%
50.25 1
 
< 0.1%
2121.0 1
 
< 0.1%
2112.0 1
 
< 0.1%
11.1 1
 
< 0.1%

분양 매매가
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.3 KiB
<NA>
4237 
200000
 
1
100000000
 
1
121
 
1
21212
 
1

Length

Max length9
Median length4
Mean length4.0021216
Min length3

Unique

Unique5 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 4237
99.9%
200000 1
 
< 0.1%
100000000 1
 
< 0.1%
121 1
 
< 0.1%
21212 1
 
< 0.1%
100000 1
 
< 0.1%

Length

2024-05-11T14:46:13.070810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:13.274567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4237
99.9%
200000 1
 
< 0.1%
100000000 1
 
< 0.1%
121 1
 
< 0.1%
21212 1
 
< 0.1%
100000 1
 
< 0.1%

정렬
Real number (ℝ)

MISSING  ZEROS 

Distinct48
Distinct (%)8.8%
Missing3697
Missing (%)87.2%
Infinite0
Infinite (%)0.0%
Mean8.6165138
Minimum0
Maximum47
Zeros56
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size37.4 KiB
2024-05-11T14:46:13.431141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q312
95-th percentile27
Maximum47
Range47
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.1232222
Coefficient of variation (CV)1.0588067
Kurtosis2.7202501
Mean8.6165138
Median Absolute Deviation (MAD)4
Skewness1.6267273
Sum4696
Variance83.233183
MonotonicityNot monotonic
2024-05-11T14:46:13.650988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 56
 
1.3%
1 55
 
1.3%
2 53
 
1.2%
3 42
 
1.0%
4 37
 
0.9%
5 34
 
0.8%
6 25
 
0.6%
7 23
 
0.5%
8 22
 
0.5%
9 19
 
0.4%
Other values (38) 179
 
4.2%
(Missing) 3697
87.2%
ValueCountFrequency (%)
0 56
1.3%
1 55
1.3%
2 53
1.2%
3 42
1.0%
4 37
0.9%
5 34
0.8%
6 25
0.6%
7 23
0.5%
8 22
 
0.5%
9 19
 
0.4%
ValueCountFrequency (%)
47 1
< 0.1%
46 1
< 0.1%
45 1
< 0.1%
44 1
< 0.1%
43 1
< 0.1%
42 1
< 0.1%
41 1
< 0.1%
40 1
< 0.1%
39 1
< 0.1%
38 1
< 0.1%

Sample

주택정보 호실 번호주택코드평면도이미지 타입방 이름입주타입-01:1인1실, 02:2인1실, 03:3인1실, 04:기타면적보증금월임대료관리비층호실입주가능인원입주가능일입주신청상태여부-y:입주신청중, n:입주마감사용여부등록자-uniq_id 입력등록일수정자-uniq_id 입력수정일전세금주거형태-01:기타, 02:다세대주택, 03:도시형생활주택, 04:연립주택, 05:단독주택, 06:아파트, 07:기숙사, 08:근린생활시설공동사용면적분양 매매가정렬
013524420000512<NA>201130.01101176002808007000021<NA>120231010N<NA>USRCNFRM_000000056542024-04-15 14:20:25.0<NA>2024-04-15 14:20:25.0<NA><NA><NA><NA><NA>
113524520000512<NA>202130.01155928002952007000022<NA>120231010N<NA>USRCNFRM_000000056542024-04-15 14:20:25.0<NA>2024-04-15 14:20:25.0<NA><NA><NA><NA><NA>
213524620000512<NA>203143.01603384003949807000023<NA>220231010N<NA>USRCNFRM_000000056542024-04-15 14:20:25.0<NA>2024-04-15 14:20:25.0<NA><NA><NA><NA><NA>
311912610001845<NA>b30515.510000004000005000035<NA>1<NA>N<NA>USRCNFRM_000000011702023-03-03 10:55:57.0<NA>2023-03-03 10:55:57.0<NA><NA><NA><NA><NA>
411912710001845<NA>c101110.010000003500005000011<NA>12022.09.01N<NA>USRCNFRM_000000011702023-03-03 10:55:57.0<NA>2023-03-03 10:55:57.0<NA><NA><NA><NA><NA>
511912810001845<NA>c10217.510000003000005000012<NA>1<NA>N<NA>USRCNFRM_000000011702023-03-03 10:55:57.0<NA>2023-03-03 10:55:57.0<NA><NA><NA><NA><NA>
611912910001845<NA>c10315.010000002800005000013<NA>1<NA>N<NA>USRCNFRM_000000011702023-03-03 10:55:57.0<NA>2023-03-03 10:55:57.0<NA><NA><NA><NA><NA>
711913010001845<NA>c10415.010000003000005000014<NA>1<NA>N<NA>USRCNFRM_000000011702023-03-03 10:55:57.0<NA>2023-03-03 10:55:57.0<NA><NA><NA><NA><NA>
811913110001845<NA>c201110.010000004000005000021<NA>1<NA>N<NA>USRCNFRM_000000011702023-03-03 10:55:57.0<NA>2023-03-03 10:55:57.0<NA><NA><NA><NA><NA>
911913210001845<NA>c20217.510000003000005000022<NA>1<NA>N<NA>USRCNFRM_000000011702023-03-03 10:55:57.0<NA>2023-03-03 10:55:57.0<NA><NA><NA><NA><NA>
주택정보 호실 번호주택코드평면도이미지 타입방 이름입주타입-01:1인1실, 02:2인1실, 03:3인1실, 04:기타면적보증금월임대료관리비층호실입주가능인원입주가능일입주신청상태여부-y:입주신청중, n:입주마감사용여부등록자-uniq_id 입력등록일수정자-uniq_id 입력수정일전세금주거형태-01:기타, 02:다세대주택, 03:도시형생활주택, 04:연립주택, 05:단독주택, 06:아파트, 07:기숙사, 08:근린생활시설공동사용면적분양 매매가정렬
423213563810002042<NA>206호450.440002206<NA>2입주마감N<NA>USRCNFRM_000000061592024-05-05 00:59:43.0<NA>2024-05-05 00:59:43.0<NA><NA><NA><NA><NA>
423313563910002042<NA>301호453.340003301<NA>2입주마감N<NA>USRCNFRM_000000061592024-05-05 00:59:43.0<NA>2024-05-05 00:59:43.0<NA><NA><NA><NA><NA>
423413564010002042<NA>302호453.90003302<NA>2입주마감N<NA>USRCNFRM_000000061592024-05-05 00:59:43.0<NA>2024-05-05 00:59:43.0<NA><NA><NA><NA><NA>
423513564110002042<NA>303호472.29500000001340000990003303<NA>2상시가능Y<NA>USRCNFRM_000000061592024-05-05 00:59:43.0<NA>2024-05-05 00:59:43.0<NA><NA><NA><NA><NA>
423613564210002042<NA>304호474.720003304<NA>2입주마감N<NA>USRCNFRM_000000061592024-05-05 00:59:43.0<NA>2024-05-05 00:59:43.0<NA><NA><NA><NA><NA>
423713564310002042<NA>305호463.640003305<NA>2입주마감N<NA>USRCNFRM_000000061592024-05-05 00:59:43.0<NA>2024-05-05 00:59:43.0<NA><NA><NA><NA><NA>
423813564410002042<NA>306호450.440003306<NA>2입주마감N<NA>USRCNFRM_000000061592024-05-05 00:59:43.0<NA>2024-05-05 00:59:43.0<NA><NA><NA><NA><NA>
423913564510002042<NA>401호453.350004401<NA>2입주마감N<NA>USRCNFRM_000000061592024-05-05 00:59:43.0<NA>2024-05-05 00:59:43.0<NA><NA><NA><NA><NA>
424013564610002042<NA>402호465.54500000001300000990004402<NA>2상시가능Y<NA>USRCNFRM_000000061592024-05-05 00:59:43.0<NA>2024-05-05 00:59:43.0<NA><NA><NA><NA><NA>
424113564710002042<NA>403호478.590004403<NA>2입주마감N<NA>USRCNFRM_000000061592024-05-05 00:59:43.0<NA>2024-05-05 00:59:43.0<NA><NA><NA><NA><NA>