Overview

Dataset statistics

Number of variables33
Number of observations500
Missing cells636
Missing cells (%)3.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory142.2 KiB
Average record size in memory291.3 B

Variable types

Numeric26
Text4
Categorical3

Dataset

Description샘플 데이터
Author빅밸류
URLhttps://bigdata.seoul.go.kr/data/selectSampleData.do?sample_data_seq=47

Alerts

대지구분(DAEJI) has constant value ""Constant
건물이름(BLDGNAME) has 254 (50.8%) missing valuesMissing
건물(동)이름(DONGNAME) has 382 (76.4%) missing valuesMissing
번지2(BUNJI2) has 14 (2.8%) zerosZeros
4개월전상한가(SANGVALUE_4) has 7 (1.4%) zerosZeros
4개월전하한가(HAVALUE_4) has 8 (1.6%) zerosZeros
5개월전예측시세(CENTERVALUE_5) has 14 (2.8%) zerosZeros

Reproduction

Analysis started2024-04-17 23:12:17.247310
Analysis finished2024-04-17 23:12:17.682450
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년월(KEYMONTH)
Real number (ℝ)

Distinct24
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201958.12
Minimum201901
Maximum202012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-18T08:12:17.738228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201901
5-th percentile201902
Q1201907
median202001
Q3202007
95-th percentile202011
Maximum202012
Range111
Interquartile range (IQR)100

Descriptive statistics

Standard deviation50.094956
Coefficient of variation (CV)0.00024804626
Kurtosis-1.9855939
Mean201958.12
Median Absolute Deviation (MAD)11
Skewness-0.055360138
Sum1.0097906 × 108
Variance2509.5046
MonotonicityNot monotonic
2024-04-18T08:12:17.849777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
202010 29
 
5.8%
201911 27
 
5.4%
201905 25
 
5.0%
202011 24
 
4.8%
202001 24
 
4.8%
201910 24
 
4.8%
202009 22
 
4.4%
202012 21
 
4.2%
202005 21
 
4.2%
202003 21
 
4.2%
Other values (14) 262
52.4%
ValueCountFrequency (%)
201901 19
3.8%
201902 15
3.0%
201903 17
3.4%
201904 20
4.0%
201905 25
5.0%
201906 19
3.8%
201907 19
3.8%
201908 21
4.2%
201909 18
3.6%
201910 24
4.8%
ValueCountFrequency (%)
202012 21
4.2%
202011 24
4.8%
202010 29
5.8%
202009 22
4.4%
202008 20
4.0%
202007 21
4.2%
202006 16
3.2%
202005 21
4.2%
202004 19
3.8%
202003 21
4.2%

지번주소+동코드(KEY_DONG)
Text

Distinct499
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2024-04-18T08:12:18.064416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters12000
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique498 ?
Unique (%)99.6%

Sample

1st rowBV1147010200107860004000
2nd rowBV1138010500100030008000
3rd rowBV1168010300112390012000
4th rowBV1147010300105430018000
5th rowBV1154510300109120016000
ValueCountFrequency (%)
bv1144012200104340012000 2
 
0.4%
bv1171011400100010012000 1
 
0.2%
bv1138010800100480024000 1
 
0.2%
bv1165010200102890002000 1
 
0.2%
bv1138010700105960021000 1
 
0.2%
bv1126010300103270090000 1
 
0.2%
bv1174010900102430108000 1
 
0.2%
bv1174010700104580059000 1
 
0.2%
bv1147010100109630028000 1
 
0.2%
bv1171011300105480017000 1
 
0.2%
Other values (489) 489
97.8%
2024-04-18T08:12:18.426555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5289
44.1%
1 2699
22.5%
3 536
 
4.5%
2 522
 
4.3%
B 500
 
4.2%
V 500
 
4.2%
5 434
 
3.6%
4 378
 
3.1%
7 329
 
2.7%
6 303
 
2.5%
Other values (2) 510
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11000
91.7%
Uppercase Letter 1000
 
8.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5289
48.1%
1 2699
24.5%
3 536
 
4.9%
2 522
 
4.7%
5 434
 
3.9%
4 378
 
3.4%
7 329
 
3.0%
6 303
 
2.8%
8 272
 
2.5%
9 238
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
B 500
50.0%
V 500
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11000
91.7%
Latin 1000
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5289
48.1%
1 2699
24.5%
3 536
 
4.9%
2 522
 
4.7%
5 434
 
3.9%
4 378
 
3.4%
7 329
 
3.0%
6 303
 
2.8%
8 272
 
2.5%
9 238
 
2.2%
Latin
ValueCountFrequency (%)
B 500
50.0%
V 500
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5289
44.1%
1 2699
22.5%
3 536
 
4.5%
2 522
 
4.3%
B 500
 
4.2%
V 500
 
4.2%
5 434
 
3.6%
4 378
 
3.1%
7 329
 
2.7%
6 303
 
2.5%
Other values (2) 510
 
4.2%

호코드(KEY_HO)
Categorical

Distinct27
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
HO002
59 
HO001
57 
HO003
51 
HO000
51 
HO005
47 
Other values (22)
235 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique9 ?
Unique (%)1.8%

Sample

1st rowHO010
2nd rowHO005
3rd rowHO005
4th rowHO006
5th rowHO001

Common Values

ValueCountFrequency (%)
HO002 59
11.8%
HO001 57
11.4%
HO003 51
10.2%
HO000 51
10.2%
HO005 47
9.4%
HO004 47
9.4%
HO006 45
9.0%
HO007 31
6.2%
HO008 27
 
5.4%
HO010 16
 
3.2%
Other values (17) 69
13.8%

Length

2024-04-18T08:12:18.567070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
ho002 59
11.8%
ho001 57
11.4%
ho003 51
10.2%
ho000 51
10.2%
ho005 47
9.4%
ho004 47
9.4%
ho006 45
9.0%
ho007 31
6.2%
ho008 27
 
5.4%
ho010 16
 
3.2%
Other values (17) 69
13.8%

주소(ADDRESS)
Text

Distinct495
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2024-04-18T08:12:18.927489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length20.142
Min length16

Characters and Unicode

Total characters10071
Distinct characters151
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique490 ?
Unique (%)98.0%

Sample

1st row서울특별시 강남구 역삼동 7*6*1*
2nd row서울특별시 강북구 번동 5*1*5*
3rd row서울특별시 서초구 양재동 3*7*5*
4th row서울특별시 강북구 수유동 2*2*5*
5th row서울특별시 도봉구 방학동 7*5*9*
ValueCountFrequency (%)
서울특별시 500
25.0%
강서구 51
 
2.5%
송파구 44
 
2.2%
화곡동 40
 
2.0%
은평구 39
 
1.9%
강북구 26
 
1.3%
중랑구 25
 
1.2%
도봉구 23
 
1.1%
강동구 23
 
1.1%
강남구 23
 
1.1%
Other values (516) 1206
60.3%
2024-04-18T08:12:19.430725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1502
14.9%
1500
14.9%
서 592
 
5.9%
동 553
 
5.5%
구 535
 
5.3%
시 509
 
5.1%
특 500
 
5.0%
별 500
 
5.0%
울 500
 
5.0%
1 303
 
3.0%
Other values (141) 3077
30.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5542
55.0%
Other Punctuation 1502
 
14.9%
Space Separator 1500
 
14.9%
Decimal Number 1428
 
14.2%
Dash Punctuation 99
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 592
 
10.7%
동 553
 
10.0%
구 535
 
9.7%
시 509
 
9.2%
특 500
 
9.0%
별 500
 
9.0%
울 500
 
9.0%
강 124
 
2.2%
파 55
 
1.0%
송 53
 
1.0%
Other values (128) 1621
29.2%
Decimal Number
ValueCountFrequency (%)
1 303
21.2%
2 219
15.3%
3 186
13.0%
5 131
9.2%
4 130
9.1%
6 122
8.5%
7 107
 
7.5%
8 99
 
6.9%
9 79
 
5.5%
0 52
 
3.6%
Other Punctuation
ValueCountFrequency (%)
* 1502
100.0%
Space Separator
ValueCountFrequency (%)
1500
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 99
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5542
55.0%
Common 4529
45.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 592
 
10.7%
동 553
 
10.0%
구 535
 
9.7%
시 509
 
9.2%
특 500
 
9.0%
별 500
 
9.0%
울 500
 
9.0%
강 124
 
2.2%
파 55
 
1.0%
송 53
 
1.0%
Other values (128) 1621
29.2%
Common
ValueCountFrequency (%)
* 1502
33.2%
1500
33.1%
1 303
 
6.7%
2 219
 
4.8%
3 186
 
4.1%
5 131
 
2.9%
4 130
 
2.9%
6 122
 
2.7%
7 107
 
2.4%
- 99
 
2.2%
Other values (3) 230
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5542
55.0%
ASCII 4529
45.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1502
33.2%
1500
33.1%
1 303
 
6.7%
2 219
 
4.8%
3 186
 
4.1%
5 131
 
2.9%
4 130
 
2.9%
6 122
 
2.7%
7 107
 
2.4%
- 99
 
2.2%
Other values (3) 230
 
5.1%
Hangul
ValueCountFrequency (%)
서 592
 
10.7%
동 553
 
10.0%
구 535
 
9.7%
시 509
 
9.2%
특 500
 
9.0%
별 500
 
9.0%
울 500
 
9.0%
강 124
 
2.2%
파 55
 
1.0%
송 53
 
1.0%
Other values (128) 1621
29.2%

법정동_구코드(SREG)
Real number (ℝ)

Distinct25
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11463.31
Minimum11110
Maximum11740
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-18T08:12:19.551739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11110
5-th percentile11214.25
Q111305
median11470
Q311620
95-th percentile11710
Maximum11740
Range630
Interquartile range (IQR)315

Descriptive statistics

Standard deviation169.5801
Coefficient of variation (CV)0.014793292
Kurtosis-1.0301222
Mean11463.31
Median Absolute Deviation (MAD)150
Skewness-0.007873492
Sum5731655
Variance28757.409
MonotonicityNot monotonic
2024-04-18T08:12:19.659620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
11380 51
 
10.2%
11710 49
 
9.8%
11500 34
 
6.8%
11530 30
 
6.0%
11470 29
 
5.8%
11305 28
 
5.6%
11290 25
 
5.0%
11410 24
 
4.8%
11620 21
 
4.2%
11260 21
 
4.2%
Other values (15) 188
37.6%
ValueCountFrequency (%)
11110 6
 
1.2%
11140 6
 
1.2%
11170 8
 
1.6%
11200 5
 
1.0%
11215 17
3.4%
11230 10
 
2.0%
11260 21
4.2%
11290 25
5.0%
11305 28
5.6%
11320 15
3.0%
ValueCountFrequency (%)
11740 21
4.2%
11710 49
9.8%
11680 21
4.2%
11650 16
 
3.2%
11620 21
4.2%
11590 12
 
2.4%
11560 7
 
1.4%
11545 20
4.0%
11530 30
6.0%
11500 34
6.8%

법정동_동코드(SEUB)
Real number (ℝ)

Distinct37
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10875.4
Minimum10100
Maximum18500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-18T08:12:19.777861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10100
5-th percentile10100
Q110300
median10500
Q310800
95-th percentile13000
Maximum18500
Range8400
Interquartile range (IQR)500

Descriptive statistics

Standard deviation1297.7763
Coefficient of variation (CV)0.11933136
Kurtosis17.783172
Mean10875.4
Median Absolute Deviation (MAD)300
Skewness3.9403878
Sum5437700
Variance1684223.3
MonotonicityNot monotonic
2024-04-18T08:12:19.889218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
10300 99
19.8%
10100 63
12.6%
10700 49
9.8%
10200 43
8.6%
10600 39
 
7.8%
10800 33
 
6.6%
10500 31
 
6.2%
10900 23
 
4.6%
10400 21
 
4.2%
11100 16
 
3.2%
Other values (27) 83
16.6%
ValueCountFrequency (%)
10100 63
12.6%
10200 43
8.6%
10300 99
19.8%
10400 21
 
4.2%
10500 31
 
6.2%
10600 39
 
7.8%
10700 49
9.8%
10800 33
 
6.6%
10900 23
 
4.6%
11000 6
 
1.2%
ValueCountFrequency (%)
18500 1
 
0.2%
18400 2
 
0.4%
18200 3
0.6%
18100 1
 
0.2%
17400 2
 
0.4%
16900 2
 
0.4%
16200 1
 
0.2%
13900 1
 
0.2%
13800 5
1.0%
13300 4
0.8%

대지구분(DAEJI)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
1
500 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 500
100.0%

Length

2024-04-18T08:12:20.001550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:12:20.083604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 500
100.0%

번지1(BUNJI1)
Real number (ℝ)

Distinct366
Distinct (%)73.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean365.18
Minimum1
Maximum1690
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-18T08:12:20.176932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.95
Q1104.5
median279
Q3546
95-th percentile941.15
Maximum1690
Range1689
Interquartile range (IQR)441.5

Descriptive statistics

Standard deviation308.6218
Coefficient of variation (CV)0.84512242
Kurtosis0.47896881
Mean365.18
Median Absolute Deviation (MAD)203
Skewness0.94080217
Sum182590
Variance95247.418
MonotonicityNot monotonic
2024-04-18T08:12:20.306315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 9
 
1.8%
11 6
 
1.2%
10 5
 
1.0%
3 4
 
0.8%
6 4
 
0.8%
86 4
 
0.8%
56 4
 
0.8%
74 4
 
0.8%
278 3
 
0.6%
715 3
 
0.6%
Other values (356) 454
90.8%
ValueCountFrequency (%)
1 9
1.8%
3 4
0.8%
6 4
0.8%
7 1
 
0.2%
8 1
 
0.2%
9 1
 
0.2%
10 5
1.0%
11 6
1.2%
12 1
 
0.2%
13 1
 
0.2%
ValueCountFrequency (%)
1690 1
0.2%
1565 1
0.2%
1360 1
0.2%
1263 1
0.2%
1156 1
0.2%
1115 1
0.2%
1100 1
0.2%
1075 1
0.2%
1072 1
0.2%
1056 1
0.2%

번지2(BUNJI2)
Real number (ℝ)

ZEROS 

Distinct145
Distinct (%)29.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.392
Minimum0
Maximum2173
Zeros14
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-18T08:12:20.446535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median18.5
Q352.25
95-th percentile245.2
Maximum2173
Range2173
Interquartile range (IQR)45.25

Descriptive statistics

Standard deviation149.54435
Coefficient of variation (CV)2.4358932
Kurtosis89.677808
Mean61.392
Median Absolute Deviation (MAD)14.5
Skewness7.8582252
Sum30696
Variance22363.513
MonotonicityNot monotonic
2024-04-18T08:12:20.593594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 23
 
4.6%
3 19
 
3.8%
2 17
 
3.4%
9 16
 
3.2%
4 16
 
3.2%
11 15
 
3.0%
6 15
 
3.0%
14 15
 
3.0%
7 14
 
2.8%
0 14
 
2.8%
Other values (135) 336
67.2%
ValueCountFrequency (%)
0 14
2.8%
1 23
4.6%
2 17
3.4%
3 19
3.8%
4 16
3.2%
5 12
2.4%
6 15
3.0%
7 14
2.8%
8 12
2.4%
9 16
3.2%
ValueCountFrequency (%)
2173 1
0.2%
1182 1
0.2%
941 1
0.2%
724 1
0.2%
705 1
0.2%
663 1
0.2%
532 1
0.2%
525 1
0.2%
477 2
0.4%
476 1
0.2%

건물이름(BLDGNAME)
Text

MISSING 

Distinct231
Distinct (%)93.9%
Missing254
Missing (%)50.8%
Memory size4.0 KiB
2024-04-18T08:12:20.893914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length6
Mean length5.7886179
Min length2

Characters and Unicode

Total characters1424
Distinct characters193
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique220 ?
Unique (%)89.4%

Sample

1st row거*리*시*
2nd row은*의*집*
3rd row스*이*1*
4th row헤*티*
5th row월*메*빌*
ValueCountFrequency (%)
5
 
1.9%
그*빌 4
 
1.5%
성*스*팰*스 3
 
1.2%
동*캐 3
 
1.2%
신*굿*닝 2
 
0.8%
현 2
 
0.8%
주*해*빌 2
 
0.8%
아*리 2
 
0.8%
현*아*빌 2
 
0.8%
다*네*빌 2
 
0.8%
Other values (229) 233
89.6%
2024-04-18T08:12:21.428481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 712
50.0%
빌 87
 
6.1%
스 37
 
2.6%
하 21
 
1.5%
아 20
 
1.4%
동 19
 
1.3%
트 14
 
1.0%
리 14
 
1.0%
14
 
1.0%
이 14
 
1.0%
Other values (183) 472
33.1%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 715
50.2%
Other Letter 656
46.1%
Uppercase Letter 15
 
1.1%
Space Separator 14
 
1.0%
Decimal Number 14
 
1.0%
Lowercase Letter 4
 
0.3%
Open Punctuation 2
 
0.1%
Dash Punctuation 2
 
0.1%
Close Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
빌 87
 
13.3%
스 37
 
5.6%
하 21
 
3.2%
아 20
 
3.0%
동 19
 
2.9%
트 14
 
2.1%
리 14
 
2.1%
이 14
 
2.1%
우 13
 
2.0%
현 12
 
1.8%
Other values (155) 405
61.7%
Uppercase Letter
ValueCountFrequency (%)
C 3
20.0%
M 2
13.3%
B 2
13.3%
I 1
 
6.7%
V 1
 
6.7%
U 1
 
6.7%
G 1
 
6.7%
S 1
 
6.7%
D 1
 
6.7%
K 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 7
50.0%
2 3
21.4%
8 1
 
7.1%
3 1
 
7.1%
6 1
 
7.1%
4 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
e 1
25.0%
b 1
25.0%
n 1
25.0%
a 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 712
99.6%
. 3
 
0.4%
Space Separator
ValueCountFrequency (%)
14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 749
52.6%
Hangul 656
46.1%
Latin 19
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
빌 87
 
13.3%
스 37
 
5.6%
하 21
 
3.2%
아 20
 
3.0%
동 19
 
2.9%
트 14
 
2.1%
리 14
 
2.1%
이 14
 
2.1%
우 13
 
2.0%
현 12
 
1.8%
Other values (155) 405
61.7%
Latin
ValueCountFrequency (%)
C 3
15.8%
M 2
 
10.5%
B 2
 
10.5%
I 1
 
5.3%
V 1
 
5.3%
e 1
 
5.3%
U 1
 
5.3%
b 1
 
5.3%
n 1
 
5.3%
G 1
 
5.3%
Other values (5) 5
26.3%
Common
ValueCountFrequency (%)
* 712
95.1%
14
 
1.9%
1 7
 
0.9%
. 3
 
0.4%
2 3
 
0.4%
( 2
 
0.3%
- 2
 
0.3%
) 1
 
0.1%
8 1
 
0.1%
3 1
 
0.1%
Other values (3) 3
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 768
53.9%
Hangul 656
46.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 712
92.7%
14
 
1.8%
1 7
 
0.9%
. 3
 
0.4%
C 3
 
0.4%
2 3
 
0.4%
M 2
 
0.3%
B 2
 
0.3%
( 2
 
0.3%
- 2
 
0.3%
Other values (18) 18
 
2.3%
Hangul
ValueCountFrequency (%)
빌 87
 
13.3%
스 37
 
5.6%
하 21
 
3.2%
아 20
 
3.0%
동 19
 
2.9%
트 14
 
2.1%
리 14
 
2.1%
이 14
 
2.1%
우 13
 
2.0%
현 12
 
1.8%
Other values (155) 405
61.7%

건물(동)이름(DONGNAME)
Text

MISSING 

Distinct58
Distinct (%)49.2%
Missing382
Missing (%)76.4%
Memory size4.0 KiB
2024-04-18T08:12:21.631955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length3.7627119
Min length2

Characters and Unicode

Total characters444
Distinct characters71
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

Unique44 ?
Unique (%)37.3%

Sample

1st rowB*
2nd row1*2*
3rd row나*
4th row훼*리*
5th row1*3*
ValueCountFrequency (%)
나 14
 
11.9%
1*2 8
 
6.8%
a 8
 
6.8%
b 8
 
6.8%
1*1 8
 
6.8%
가 7
 
5.9%
2 5
 
4.2%
c 3
 
2.5%
1*3 3
 
2.5%
3 2
 
1.7%
Other values (48) 52
44.1%
2024-04-18T08:12:21.955707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 222
50.0%
1 33
 
7.4%
빌 20
 
4.5%
2 16
 
3.6%
나 14
 
3.2%
동 10
 
2.3%
가 10
 
2.3%
A 10
 
2.3%
B 9
 
2.0%
스 7
 
1.6%
Other values (61) 93
20.9%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 222
50.0%
Other Letter 139
31.3%
Decimal Number 59
 
13.3%
Uppercase Letter 23
 
5.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
빌 20
 
14.4%
나 14
 
10.1%
동 10
 
7.2%
가 10
 
7.2%
스 7
 
5.0%
트 6
 
4.3%
아 4
 
2.9%
우 3
 
2.2%
하 3
 
2.2%
다 3
 
2.2%
Other values (49) 59
42.4%
Decimal Number
ValueCountFrequency (%)
1 33
55.9%
2 16
27.1%
3 6
 
10.2%
0 2
 
3.4%
5 1
 
1.7%
8 1
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
A 10
43.5%
B 9
39.1%
C 3
 
13.0%
L 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
* 222
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 282
63.5%
Hangul 139
31.3%
Latin 23
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
빌 20
 
14.4%
나 14
 
10.1%
동 10
 
7.2%
가 10
 
7.2%
스 7
 
5.0%
트 6
 
4.3%
아 4
 
2.9%
우 3
 
2.2%
하 3
 
2.2%
다 3
 
2.2%
Other values (49) 59
42.4%
Common
ValueCountFrequency (%)
* 222
78.7%
1 33
 
11.7%
2 16
 
5.7%
3 6
 
2.1%
0 2
 
0.7%
5 1
 
0.4%
8 1
 
0.4%
( 1
 
0.4%
Latin
ValueCountFrequency (%)
A 10
43.5%
B 9
39.1%
C 3
 
13.0%
L 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 305
68.7%
Hangul 139
31.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 222
72.8%
1 33
 
10.8%
2 16
 
5.2%
A 10
 
3.3%
B 9
 
3.0%
3 6
 
2.0%
C 3
 
1.0%
0 2
 
0.7%
5 1
 
0.3%
8 1
 
0.3%
Other values (2) 2
 
0.7%
Hangul
ValueCountFrequency (%)
빌 20
 
14.4%
나 14
 
10.1%
동 10
 
7.2%
가 10
 
7.2%
스 7
 
5.0%
트 6
 
4.3%
아 4
 
2.9%
우 3
 
2.2%
하 3
 
2.2%
다 3
 
2.2%
Other values (49) 59
42.4%

호이름(HONAME)
Categorical

Distinct36
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
201
65 
202
61 
402
52 
302
49 
301
48 
Other values (31)
225 

Length

Max length3
Median length3
Mean length2.996
Min length2

Unique

Unique11 ?
Unique (%)2.2%

Sample

1st row102
2nd row501
3rd row302
4th row402
5th row402

Common Values

ValueCountFrequency (%)
201 65
13.0%
202 61
12.2%
402 52
10.4%
302 49
9.8%
301 48
9.6%
501 34
 
6.8%
401 30
 
6.0%
502 23
 
4.6%
101 19
 
3.8%
203 16
 
3.2%
Other values (26) 103
20.6%

Length

2024-04-18T08:12:22.081677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
201 65
13.0%
202 61
12.2%
402 52
10.4%
302 49
9.8%
301 48
9.6%
501 34
 
6.8%
401 30
 
6.0%
502 23
 
4.6%
101 19
 
3.8%
203 16
 
3.2%
Other values (26) 103
20.6%

예측년월(MONTH)
Real number (ℝ)

Distinct24
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201957.12
Minimum201900
Maximum202011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-18T08:12:22.189401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201900
5-th percentile201901
Q1201906
median202000
Q3202006
95-th percentile202010
Maximum202011
Range111
Interquartile range (IQR)100

Descriptive statistics

Standard deviation50.094956
Coefficient of variation (CV)0.00024804749
Kurtosis-1.9855939
Mean201957.12
Median Absolute Deviation (MAD)11
Skewness-0.055360138
Sum1.0097856 × 108
Variance2509.5046
MonotonicityNot monotonic
2024-04-18T08:12:22.303582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
202009 29
 
5.8%
201910 27
 
5.4%
201904 25
 
5.0%
202010 24
 
4.8%
202000 24
 
4.8%
201909 24
 
4.8%
202008 22
 
4.4%
202011 21
 
4.2%
202004 21
 
4.2%
202002 21
 
4.2%
Other values (14) 262
52.4%
ValueCountFrequency (%)
201900 19
3.8%
201901 15
3.0%
201902 17
3.4%
201903 20
4.0%
201904 25
5.0%
201905 19
3.8%
201906 19
3.8%
201907 21
4.2%
201908 18
3.6%
201909 24
4.8%
ValueCountFrequency (%)
202011 21
4.2%
202010 24
4.8%
202009 29
5.8%
202008 22
4.4%
202007 20
4.0%
202006 21
4.2%
202005 16
3.2%
202004 21
4.2%
202003 19
3.8%
202002 21
4.2%

현재월예측시세(CENTERVALUE)
Real number (ℝ)

Distinct496
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28869.454
Minimum8670
Maximum124647
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-18T08:12:22.435131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8670
5-th percentile13742
Q120176.75
median25162
Q331995
95-th percentile55152.95
Maximum124647
Range115977
Interquartile range (IQR)11818.25

Descriptive statistics

Standard deviation15302.57
Coefficient of variation (CV)0.53006094
Kurtosis10.575726
Mean28869.454
Median Absolute Deviation (MAD)5626.5
Skewness2.7199936
Sum14434727
Variance2.3416864 × 108
MonotonicityNot monotonic
2024-04-18T08:12:22.582376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39969 2
 
0.4%
44218 2
 
0.4%
26145 2
 
0.4%
22713 2
 
0.4%
20180 1
 
0.2%
32339 1
 
0.2%
64976 1
 
0.2%
12039 1
 
0.2%
23119 1
 
0.2%
40186 1
 
0.2%
Other values (486) 486
97.2%
ValueCountFrequency (%)
8670 1
0.2%
9305 1
0.2%
9615 1
0.2%
10729 1
0.2%
10915 1
0.2%
10963 1
0.2%
11000 1
0.2%
11642 1
0.2%
11673 1
0.2%
11688 1
0.2%
ValueCountFrequency (%)
124647 1
0.2%
118654 1
0.2%
116838 1
0.2%
100801 1
0.2%
100642 1
0.2%
94223 1
0.2%
93057 1
0.2%
91113 1
0.2%
79866 1
0.2%
79270 1
0.2%

현재월상한가(SANGVALUE)
Real number (ℝ)

Distinct494
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34676.75
Minimum11315
Maximum406558
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-18T08:12:22.748626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11315
5-th percentile16019.9
Q123425
median29344
Q337670.25
95-th percentile67103.3
Maximum406558
Range395243
Interquartile range (IQR)14245.25

Descriptive statistics

Standard deviation26816.977
Coefficient of variation (CV)0.7733417
Kurtosis84.32993
Mean34676.75
Median Absolute Deviation (MAD)6616.5
Skewness7.4919719
Sum17338375
Variance7.1915024 × 108
MonotonicityNot monotonic
2024-04-18T08:12:22.932379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35363 2
 
0.4%
42217 2
 
0.4%
19222 2
 
0.4%
16033 2
 
0.4%
33099 2
 
0.4%
40755 2
 
0.4%
22386 1
 
0.2%
37761 1
 
0.2%
28913 1
 
0.2%
42222 1
 
0.2%
Other values (484) 484
96.8%
ValueCountFrequency (%)
11315 1
0.2%
12387 1
0.2%
13240 1
0.2%
13505 1
0.2%
13673 1
0.2%
13780 1
0.2%
13863 1
0.2%
13901 1
0.2%
13978 1
0.2%
13995 1
0.2%
ValueCountFrequency (%)
406558 1
0.2%
221086 1
0.2%
220566 1
0.2%
158518 1
0.2%
146198 1
0.2%
134239 1
0.2%
124344 1
0.2%
120864 1
0.2%
116528 1
0.2%
95882 1
0.2%

현재월하한가(HAVALUE)
Real number (ℝ)

Distinct495
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23108.14
Minimum6579
Maximum153720
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-18T08:12:23.070396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6579
5-th percentile11544.45
Q116292
median20525.5
Q326443.25
95-th percentile41703.65
Maximum153720
Range147141
Interquartile range (IQR)10151.25

Descriptive statistics

Standard deviation11770.936
Coefficient of variation (CV)0.50938484
Kurtosis33.572531
Mean23108.14
Median Absolute Deviation (MAD)4945
Skewness4.0602452
Sum11554070
Variance1.3855494 × 108
MonotonicityNot monotonic
2024-04-18T08:12:23.220106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15981 2
 
0.4%
19114 2
 
0.4%
14977 2
 
0.4%
23930 2
 
0.4%
22734 2
 
0.4%
23757 1
 
0.2%
34837 1
 
0.2%
13058 1
 
0.2%
21288 1
 
0.2%
66354 1
 
0.2%
Other values (485) 485
97.0%
ValueCountFrequency (%)
6579 1
0.2%
7310 1
0.2%
7717 1
0.2%
8141 1
0.2%
8827 1
0.2%
8862 1
0.2%
9066 1
0.2%
9182 1
0.2%
9215 1
0.2%
10013 1
0.2%
ValueCountFrequency (%)
153720 1
0.2%
93793 1
0.2%
68642 1
0.2%
66881 1
0.2%
66354 1
0.2%
65132 1
0.2%
62393 1
0.2%
59000 1
0.2%
54503 1
0.2%
54118 1
0.2%

1개월전예측시세(CENTERVALUE_1)
Real number (ℝ)

Distinct495
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28342.42
Minimum0
Maximum160133
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-18T08:12:23.374372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14419.15
Q120160.25
median25413.5
Q332976
95-th percentile47756.8
Maximum160133
Range160133
Interquartile range (IQR)12815.75

Descriptive statistics

Standard deviation13849.783
Coefficient of variation (CV)0.48865917
Kurtosis21.601542
Mean28342.42
Median Absolute Deviation (MAD)6142
Skewness3.3784147
Sum14171210
Variance1.918165 × 108
MonotonicityNot monotonic
2024-04-18T08:12:23.500880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27611 2
 
0.4%
22135 2
 
0.4%
20537 2
 
0.4%
25399 2
 
0.4%
19470 2
 
0.4%
34412 1
 
0.2%
25918 1
 
0.2%
35770 1
 
0.2%
32686 1
 
0.2%
31614 1
 
0.2%
Other values (485) 485
97.0%
ValueCountFrequency (%)
0 1
0.2%
10517 1
0.2%
10891 1
0.2%
10938 1
0.2%
11884 1
0.2%
12052 1
0.2%
12138 1
0.2%
12214 1
0.2%
12757 1
0.2%
12967 1
0.2%
ValueCountFrequency (%)
160133 1
0.2%
109697 1
0.2%
106797 1
0.2%
94838 1
0.2%
80950 1
0.2%
72529 1
0.2%
72152 1
0.2%
71360 1
0.2%
68177 1
0.2%
66464 1
0.2%

1개월전상한가(SANGVALUE_1)
Real number (ℝ)

Distinct494
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34810.56
Minimum0
Maximum242017
Zeros3
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-18T08:12:23.636309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15168.9
Q123219.25
median29858
Q338987.25
95-th percentile69734.95
Maximum242017
Range242017
Interquartile range (IQR)15768

Descriptive statistics

Standard deviation21867.885
Coefficient of variation (CV)0.62819687
Kurtosis23.4624
Mean34810.56
Median Absolute Deviation (MAD)7311.5
Skewness3.8198845
Sum17405280
Variance4.7820438 × 108
MonotonicityNot monotonic
2024-04-18T08:12:23.767079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
0.6%
32307 2
 
0.4%
22731 2
 
0.4%
30579 2
 
0.4%
28549 2
 
0.4%
34489 1
 
0.2%
29502 1
 
0.2%
49973 1
 
0.2%
59380 1
 
0.2%
29382 1
 
0.2%
Other values (484) 484
96.8%
ValueCountFrequency (%)
0 3
0.6%
9324 1
 
0.2%
11203 1
 
0.2%
12276 1
 
0.2%
12668 1
 
0.2%
13265 1
 
0.2%
13292 1
 
0.2%
13298 1
 
0.2%
13428 1
 
0.2%
13444 1
 
0.2%
ValueCountFrequency (%)
242017 1
0.2%
166042 1
0.2%
151351 1
0.2%
145561 1
0.2%
145379 1
0.2%
136241 1
0.2%
111719 1
0.2%
110940 1
0.2%
109921 1
0.2%
109849 1
0.2%

1개월전하한가(HAVALUE_1)
Real number (ℝ)

Distinct497
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23170.92
Minimum0
Maximum185577
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-18T08:12:23.911620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11031.05
Q116292.5
median20836
Q325660.75
95-th percentile42009
Maximum185577
Range185577
Interquartile range (IQR)9368.25

Descriptive statistics

Standard deviation13720.759
Coefficient of variation (CV)0.59215426
Kurtosis48.273215
Mean23170.92
Median Absolute Deviation (MAD)4621
Skewness5.3275865
Sum11585460
Variance1.8825923 × 108
MonotonicityNot monotonic
2024-04-18T08:12:24.053934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19013 2
 
0.4%
19359 2
 
0.4%
22137 2
 
0.4%
26870 1
 
0.2%
14450 1
 
0.2%
18879 1
 
0.2%
9541 1
 
0.2%
13153 1
 
0.2%
12043 1
 
0.2%
16114 1
 
0.2%
Other values (487) 487
97.4%
ValueCountFrequency (%)
0 1
0.2%
6080 1
0.2%
6935 1
0.2%
7775 1
0.2%
8016 1
0.2%
8087 1
0.2%
8280 1
0.2%
8685 1
0.2%
8692 1
0.2%
8897 1
0.2%
ValueCountFrequency (%)
185577 1
0.2%
127971 1
0.2%
93280 1
0.2%
81724 1
0.2%
81403 1
0.2%
73272 1
0.2%
72676 1
0.2%
65937 1
0.2%
65208 1
0.2%
64092 1
0.2%

2개월전예측시세(CENTERVALUE_2)
Real number (ℝ)

Distinct494
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29256.288
Minimum0
Maximum216500
Zeros3
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-18T08:12:24.190283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12818.8
Q119798.5
median25155
Q332648
95-th percentile58348.25
Maximum216500
Range216500
Interquartile range (IQR)12849.5

Descriptive statistics

Standard deviation18395.832
Coefficient of variation (CV)0.62878218
Kurtosis27.921577
Mean29256.288
Median Absolute Deviation (MAD)6089.5
Skewness4.0239165
Sum14628144
Variance3.3840665 × 108
MonotonicityNot monotonic
2024-04-18T08:12:24.315879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
0.6%
22423 2
 
0.4%
22274 2
 
0.4%
21464 2
 
0.4%
27901 2
 
0.4%
29186 1
 
0.2%
21333 1
 
0.2%
30576 1
 
0.2%
30678 1
 
0.2%
42009 1
 
0.2%
Other values (484) 484
96.8%
ValueCountFrequency (%)
0 3
0.6%
9588 1
 
0.2%
9811 1
 
0.2%
9906 1
 
0.2%
10031 1
 
0.2%
10332 1
 
0.2%
10695 1
 
0.2%
10735 1
 
0.2%
11119 1
 
0.2%
11131 1
 
0.2%
ValueCountFrequency (%)
216500 1
0.2%
147546 1
0.2%
121166 1
0.2%
117184 1
0.2%
116833 1
0.2%
104542 1
0.2%
87266 1
0.2%
83050 1
0.2%
82740 1
0.2%
79860 1
0.2%

2개월전상한가(SANGVALUE_2)
Real number (ℝ)

Distinct497
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34366
Minimum12663
Maximum159372
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-18T08:12:24.463015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12663
5-th percentile17354.5
Q123438.75
median30034.5
Q339184.75
95-th percentile69693.75
Maximum159372
Range146709
Interquartile range (IQR)15746

Descriptive statistics

Standard deviation17232.228
Coefficient of variation (CV)0.50143247
Kurtosis8.9153749
Mean34366
Median Absolute Deviation (MAD)7188.5
Skewness2.3920098
Sum17183000
Variance2.9694969 × 108
MonotonicityNot monotonic
2024-04-18T08:12:24.597442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32886 2
 
0.4%
29384 2
 
0.4%
24972 2
 
0.4%
24636 1
 
0.2%
78628 1
 
0.2%
22145 1
 
0.2%
44318 1
 
0.2%
20408 1
 
0.2%
61540 1
 
0.2%
24142 1
 
0.2%
Other values (487) 487
97.4%
ValueCountFrequency (%)
12663 1
0.2%
13541 1
0.2%
13820 1
0.2%
13904 1
0.2%
13950 1
0.2%
14026 1
0.2%
14405 1
0.2%
14457 1
0.2%
14468 1
0.2%
14658 1
0.2%
ValueCountFrequency (%)
159372 1
0.2%
116601 1
0.2%
111445 1
0.2%
107770 1
0.2%
104946 1
0.2%
100417 1
0.2%
96703 1
0.2%
95667 1
0.2%
89040 1
0.2%
87121 1
0.2%

2개월전하한가(HAVALUE_2)
Real number (ℝ)

Distinct494
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22794.032
Minimum0
Maximum98231
Zeros3
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-18T08:12:24.732473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10629.35
Q116216.75
median20240
Q325424.5
95-th percentile43422.6
Maximum98231
Range98231
Interquartile range (IQR)9207.75

Descriptive statistics

Standard deviation11937.643
Coefficient of variation (CV)0.52371792
Kurtosis10.671592
Mean22794.032
Median Absolute Deviation (MAD)4671.5
Skewness2.6865264
Sum11397016
Variance1.4250732 × 108
MonotonicityNot monotonic
2024-04-18T08:12:24.865223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
0.6%
12538 3
 
0.6%
22979 2
 
0.4%
33578 2
 
0.4%
10243 1
 
0.2%
18071 1
 
0.2%
17248 1
 
0.2%
16501 1
 
0.2%
29274 1
 
0.2%
22971 1
 
0.2%
Other values (484) 484
96.8%
ValueCountFrequency (%)
0 3
0.6%
6454 1
 
0.2%
8499 1
 
0.2%
8832 1
 
0.2%
8913 1
 
0.2%
9054 1
 
0.2%
9098 1
 
0.2%
9157 1
 
0.2%
9287 1
 
0.2%
9423 1
 
0.2%
ValueCountFrequency (%)
98231 1
0.2%
91521 1
0.2%
88256 1
0.2%
88216 1
0.2%
71993 1
0.2%
71940 1
0.2%
71778 1
0.2%
67313 1
0.2%
63611 1
0.2%
63409 1
0.2%

3개월전예측시세(CENTERVALUE_3)
Real number (ℝ)

Distinct490
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27294.646
Minimum0
Maximum155374
Zeros4
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-18T08:12:25.665712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13435.9
Q119034.5
median24016.5
Q331757.75
95-th percentile49030.4
Maximum155374
Range155374
Interquartile range (IQR)12723.25

Descriptive statistics

Standard deviation14767.816
Coefficient of variation (CV)0.54105176
Kurtosis20.424107
Mean27294.646
Median Absolute Deviation (MAD)5898
Skewness3.4347963
Sum13647323
Variance2.180884 × 108
MonotonicityNot monotonic
2024-04-18T08:12:25.817080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
0.8%
15006 2
 
0.4%
38329 2
 
0.4%
17372 2
 
0.4%
21836 2
 
0.4%
37025 2
 
0.4%
22375 2
 
0.4%
37137 2
 
0.4%
15111 1
 
0.2%
26125 1
 
0.2%
Other values (480) 480
96.0%
ValueCountFrequency (%)
0 4
0.8%
9350 1
 
0.2%
9526 1
 
0.2%
9688 1
 
0.2%
10866 1
 
0.2%
10915 1
 
0.2%
10943 1
 
0.2%
10972 1
 
0.2%
11056 1
 
0.2%
11083 1
 
0.2%
ValueCountFrequency (%)
155374 1
0.2%
126221 1
0.2%
118568 1
0.2%
113313 1
0.2%
89282 1
0.2%
82479 1
0.2%
78390 1
0.2%
71087 1
0.2%
68742 1
0.2%
68368 1
0.2%

3개월전상한가(SANGVALUE_3)
Real number (ℝ)

Distinct494
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34266.29
Minimum0
Maximum243658
Zeros4
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-18T08:12:25.969293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15782.3
Q123504.5
median29319.5
Q338326
95-th percentile69315.4
Maximum243658
Range243658
Interquartile range (IQR)14821.5

Descriptive statistics

Standard deviation21439.549
Coefficient of variation (CV)0.62567466
Kurtosis26.155037
Mean34266.29
Median Absolute Deviation (MAD)6761.5
Skewness4.055478
Sum17133145
Variance4.5965427 × 108
MonotonicityNot monotonic
2024-04-18T08:12:26.101790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
0.8%
29918 2
 
0.4%
28682 2
 
0.4%
31408 2
 
0.4%
33027 1
 
0.2%
25038 1
 
0.2%
19387 1
 
0.2%
25355 1
 
0.2%
30034 1
 
0.2%
20106 1
 
0.2%
Other values (484) 484
96.8%
ValueCountFrequency (%)
0 4
0.8%
7936 1
 
0.2%
12263 1
 
0.2%
12930 1
 
0.2%
13488 1
 
0.2%
13605 1
 
0.2%
13832 1
 
0.2%
13845 1
 
0.2%
13996 1
 
0.2%
14119 1
 
0.2%
ValueCountFrequency (%)
243658 1
0.2%
173998 1
0.2%
144972 1
0.2%
143564 1
0.2%
131413 1
0.2%
129181 1
0.2%
116898 1
0.2%
113093 1
0.2%
112907 1
0.2%
107158 1
0.2%

3개월전하한가(HAVALUE_3)
Real number (ℝ)

Distinct495
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24311.51
Minimum0
Maximum337984
Zeros3
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-18T08:12:26.228641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11205
Q116396
median20728
Q327607.75
95-th percentile44143.85
Maximum337984
Range337984
Interquartile range (IQR)11211.75

Descriptive statistics

Standard deviation20455.741
Coefficient of variation (CV)0.84140148
Kurtosis126.40787
Mean24311.51
Median Absolute Deviation (MAD)5166
Skewness9.4795331
Sum12155755
Variance4.1843732 × 108
MonotonicityNot monotonic
2024-04-18T08:12:26.389351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
0.6%
24685 2
 
0.4%
21986 2
 
0.4%
15516 2
 
0.4%
27593 1
 
0.2%
137117 1
 
0.2%
51878 1
 
0.2%
13970 1
 
0.2%
22674 1
 
0.2%
31861 1
 
0.2%
Other values (485) 485
97.0%
ValueCountFrequency (%)
0 3
0.6%
6830 1
 
0.2%
8378 1
 
0.2%
8582 1
 
0.2%
8733 1
 
0.2%
9428 1
 
0.2%
9538 1
 
0.2%
9559 1
 
0.2%
9588 1
 
0.2%
9604 1
 
0.2%
ValueCountFrequency (%)
337984 1
0.2%
211577 1
0.2%
137117 1
0.2%
105849 1
0.2%
90386 1
0.2%
82970 1
0.2%
68918 1
0.2%
68259 1
0.2%
67613 1
0.2%
60091 1
0.2%

4개월전예측시세(CENTERVALUE_4)
Real number (ℝ)

Distinct493
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27340.448
Minimum0
Maximum210732
Zeros5
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-18T08:12:26.530048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12865.75
Q119313.25
median24359
Q331292
95-th percentile48184.55
Maximum210732
Range210732
Interquartile range (IQR)11978.75

Descriptive statistics

Standard deviation16467.479
Coefficient of variation (CV)0.60231198
Kurtosis52.375276
Mean27340.448
Median Absolute Deviation (MAD)5768.5
Skewness5.5581335
Sum13670224
Variance2.7117787 × 108
MonotonicityNot monotonic
2024-04-18T08:12:26.651989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
1.0%
28487 2
 
0.4%
31292 2
 
0.4%
28599 2
 
0.4%
44016 1
 
0.2%
19614 1
 
0.2%
80306 1
 
0.2%
27145 1
 
0.2%
19221 1
 
0.2%
58330 1
 
0.2%
Other values (483) 483
96.6%
ValueCountFrequency (%)
0 5
1.0%
7966 1
 
0.2%
8623 1
 
0.2%
9714 1
 
0.2%
9871 1
 
0.2%
10722 1
 
0.2%
10838 1
 
0.2%
11086 1
 
0.2%
11228 1
 
0.2%
11445 1
 
0.2%
ValueCountFrequency (%)
210732 1
0.2%
195069 1
0.2%
84574 1
0.2%
84102 1
0.2%
81394 1
0.2%
80518 1
0.2%
80306 1
0.2%
77248 1
0.2%
76868 1
0.2%
70350 1
0.2%

4개월전상한가(SANGVALUE_4)
Real number (ℝ)

ZEROS 

Distinct490
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32742.972
Minimum0
Maximum184554
Zeros7
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-18T08:12:26.792691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15922.35
Q123207
median28950.5
Q336944.5
95-th percentile63432.7
Maximum184554
Range184554
Interquartile range (IQR)13737.5

Descriptive statistics

Standard deviation18171.294
Coefficient of variation (CV)0.55496776
Kurtosis18.921455
Mean32742.972
Median Absolute Deviation (MAD)6559
Skewness3.3157144
Sum16371486
Variance3.3019592 × 108
MonotonicityNot monotonic
2024-04-18T08:12:26.974883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7
 
1.4%
15941 2
 
0.4%
31202 2
 
0.4%
20184 2
 
0.4%
41446 2
 
0.4%
37829 1
 
0.2%
29497 1
 
0.2%
39035 1
 
0.2%
26780 1
 
0.2%
20639 1
 
0.2%
Other values (480) 480
96.0%
ValueCountFrequency (%)
0 7
1.4%
10473 1
 
0.2%
10800 1
 
0.2%
12626 1
 
0.2%
12653 1
 
0.2%
12835 1
 
0.2%
12858 1
 
0.2%
12988 1
 
0.2%
13237 1
 
0.2%
13532 1
 
0.2%
ValueCountFrequency (%)
184554 1
0.2%
156430 1
0.2%
146524 1
0.2%
132019 1
0.2%
106892 1
0.2%
105170 1
0.2%
94005 1
0.2%
85329 1
0.2%
84454 1
0.2%
80586 1
0.2%

4개월전하한가(HAVALUE_4)
Real number (ℝ)

ZEROS 

Distinct489
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23658.67
Minimum0
Maximum326160
Zeros8
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-18T08:12:27.139348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10304.1
Q116771
median20927
Q326738.25
95-th percentile41786.4
Maximum326160
Range326160
Interquartile range (IQR)9967.25

Descriptive statistics

Standard deviation17878.391
Coefficient of variation (CV)0.7556803
Kurtosis167.45244
Mean23658.67
Median Absolute Deviation (MAD)5018
Skewness10.586317
Sum11829335
Variance3.1963686 × 108
MonotonicityNot monotonic
2024-04-18T08:12:27.329987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8
 
1.6%
16807 2
 
0.4%
13662 2
 
0.4%
44165 2
 
0.4%
19410 2
 
0.4%
24600 1
 
0.2%
22047 1
 
0.2%
26477 1
 
0.2%
12458 1
 
0.2%
19491 1
 
0.2%
Other values (479) 479
95.8%
ValueCountFrequency (%)
0 8
1.6%
6639 1
 
0.2%
6831 1
 
0.2%
8277 1
 
0.2%
8424 1
 
0.2%
8606 1
 
0.2%
8974 1
 
0.2%
9047 1
 
0.2%
9208 1
 
0.2%
9608 1
 
0.2%
ValueCountFrequency (%)
326160 1
0.2%
130977 1
0.2%
97925 1
0.2%
95156 1
0.2%
68464 1
0.2%
64484 1
0.2%
64152 1
0.2%
62607 1
0.2%
57156 1
0.2%
56510 1
0.2%

5개월전예측시세(CENTERVALUE_5)
Real number (ℝ)

ZEROS 

Distinct484
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27708.708
Minimum0
Maximum188359
Zeros14
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-18T08:12:27.507290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11424.25
Q119023.75
median24421.5
Q331056.25
95-th percentile56578.6
Maximum188359
Range188359
Interquartile range (IQR)12032.5

Descriptive statistics

Standard deviation18669.91
Coefficient of variation (CV)0.67379216
Kurtosis23.586658
Mean27708.708
Median Absolute Deviation (MAD)5865.5
Skewness3.957542
Sum13854354
Variance3.4856554 × 108
MonotonicityNot monotonic
2024-04-18T08:12:27.651037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14
 
2.8%
25325 2
 
0.4%
22254 2
 
0.4%
33169 2
 
0.4%
18651 1
 
0.2%
25893 1
 
0.2%
39190 1
 
0.2%
14139 1
 
0.2%
27108 1
 
0.2%
21632 1
 
0.2%
Other values (474) 474
94.8%
ValueCountFrequency (%)
0 14
2.8%
5753 1
 
0.2%
7766 1
 
0.2%
7852 1
 
0.2%
8604 1
 
0.2%
8687 1
 
0.2%
10288 1
 
0.2%
10444 1
 
0.2%
11088 1
 
0.2%
11245 1
 
0.2%
ValueCountFrequency (%)
188359 1
0.2%
157681 1
0.2%
144862 1
0.2%
139002 1
0.2%
129510 1
0.2%
109026 1
0.2%
107703 1
0.2%
92198 1
0.2%
89975 1
0.2%
88733 1
0.2%

5개월전상한가(SANGVALUE_5)
Real number (ℝ)

Distinct492
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35773.448
Minimum0
Maximum448706
Zeros4
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-18T08:12:27.788431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15745.85
Q122946.75
median28954.5
Q338224.5
95-th percentile68886.25
Maximum448706
Range448706
Interquartile range (IQR)15277.75

Descriptive statistics

Standard deviation32926.411
Coefficient of variation (CV)0.9204148
Kurtosis62.927056
Mean35773.448
Median Absolute Deviation (MAD)6952.5
Skewness6.6978824
Sum17886724
Variance1.0841485 × 109
MonotonicityNot monotonic
2024-04-18T08:12:27.909928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
0.8%
36698 2
 
0.4%
24755 2
 
0.4%
23416 2
 
0.4%
16220 2
 
0.4%
41686 2
 
0.4%
30046 1
 
0.2%
22645 1
 
0.2%
23517 1
 
0.2%
32871 1
 
0.2%
Other values (482) 482
96.4%
ValueCountFrequency (%)
0 4
0.8%
7033 1
 
0.2%
8483 1
 
0.2%
11279 1
 
0.2%
12056 1
 
0.2%
13118 1
 
0.2%
13921 1
 
0.2%
13991 1
 
0.2%
14235 1
 
0.2%
14267 1
 
0.2%
ValueCountFrequency (%)
448706 1
0.2%
279602 1
0.2%
223434 1
0.2%
222144 1
0.2%
217837 1
0.2%
206580 1
0.2%
184511 1
0.2%
159372 1
0.2%
146803 1
0.2%
140155 1
0.2%

5개월전하한가(HAVALUE_5)
Real number (ℝ)

Distinct488
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21744.112
Minimum0
Maximum92008
Zeros5
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-18T08:12:28.044003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9940.7
Q115387.5
median20138.5
Q324950.25
95-th percentile40836.6
Maximum92008
Range92008
Interquartile range (IQR)9562.75

Descriptive statistics

Standard deviation10700.323
Coefficient of variation (CV)0.49210209
Kurtosis9.6801039
Mean21744.112
Median Absolute Deviation (MAD)4812.5
Skewness2.3763818
Sum10872056
Variance1.1449691 × 108
MonotonicityNot monotonic
2024-04-18T08:12:28.197869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
1.0%
16317 2
 
0.4%
21408 2
 
0.4%
19870 2
 
0.4%
14020 2
 
0.4%
26687 2
 
0.4%
13976 2
 
0.4%
13018 2
 
0.4%
42953 2
 
0.4%
27153 1
 
0.2%
Other values (478) 478
95.6%
ValueCountFrequency (%)
0 5
1.0%
6464 1
 
0.2%
6770 1
 
0.2%
7871 1
 
0.2%
8167 1
 
0.2%
8315 1
 
0.2%
8435 1
 
0.2%
8485 1
 
0.2%
8496 1
 
0.2%
8506 1
 
0.2%
ValueCountFrequency (%)
92008 1
0.2%
84508 1
0.2%
76161 1
0.2%
71453 1
0.2%
70267 1
0.2%
65008 1
0.2%
64312 1
0.2%
63446 1
0.2%
54373 1
0.2%
52746 1
0.2%

전용면적(JYAREA)
Real number (ℝ)

Distinct474
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.71024
Minimum12.53
Maximum244.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-18T08:12:28.342230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12.53
5-th percentile24.803
Q137.76
median48.965
Q359.56
95-th percentile80.1375
Maximum244.7
Range232.17
Interquartile range (IQR)21.8

Descriptive statistics

Standard deviation20.749952
Coefficient of variation (CV)0.40918662
Kurtosis18.85457
Mean50.71024
Median Absolute Deviation (MAD)10.74
Skewness2.7362715
Sum25355.12
Variance430.5605
MonotonicityNot monotonic
2024-04-18T08:12:28.481914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28.68 3
 
0.6%
43.25 3
 
0.6%
46.51 3
 
0.6%
29.9 2
 
0.4%
63.36 2
 
0.4%
71.34 2
 
0.4%
45.96 2
 
0.4%
29.85 2
 
0.4%
57.96 2
 
0.4%
36.58 2
 
0.4%
Other values (464) 477
95.4%
ValueCountFrequency (%)
12.53 1
0.2%
15.81 1
0.2%
17.05 1
0.2%
17.71 1
0.2%
17.9 1
0.2%
18.15 1
0.2%
18.36 1
0.2%
18.68 1
0.2%
19.46 1
0.2%
19.8 1
0.2%
ValueCountFrequency (%)
244.7 1
0.2%
179.1 1
0.2%
140.23 1
0.2%
137.96 1
0.2%
131.62 1
0.2%
126.24 1
0.2%
120.06 1
0.2%
103.84 1
0.2%
97.32 1
0.2%
92.82 1
0.2%

참고한사례수(CSCOUNT)
Real number (ℝ)

Distinct238
Distinct (%)47.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.71
Minimum5
Maximum992
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-18T08:12:28.653916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile9
Q131
median71
Q3156.25
95-th percentile410.05
Maximum992
Range987
Interquartile range (IQR)125.25

Descriptive statistics

Standard deviation150.22343
Coefficient of variation (CV)1.2045821
Kurtosis9.9627674
Mean124.71
Median Absolute Deviation (MAD)48.5
Skewness2.7881439
Sum62355
Variance22567.08
MonotonicityNot monotonic
2024-04-18T08:12:28.816353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 9
 
1.8%
23 8
 
1.6%
31 8
 
1.6%
29 8
 
1.6%
14 7
 
1.4%
41 6
 
1.2%
62 6
 
1.2%
20 6
 
1.2%
59 6
 
1.2%
26 6
 
1.2%
Other values (228) 430
86.0%
ValueCountFrequency (%)
5 5
1.0%
6 6
1.2%
7 4
0.8%
8 9
1.8%
9 5
1.0%
10 3
 
0.6%
11 2
 
0.4%
12 6
1.2%
13 4
0.8%
14 7
1.4%
ValueCountFrequency (%)
992 1
0.2%
964 1
0.2%
959 1
0.2%
868 1
0.2%
867 1
0.2%
821 1
0.2%
772 1
0.2%
695 1
0.2%
667 1
0.2%
665 1
0.2%

Sample

년월(KEYMONTH)지번주소+동코드(KEY_DONG)호코드(KEY_HO)주소(ADDRESS)법정동_구코드(SREG)법정동_동코드(SEUB)대지구분(DAEJI)번지1(BUNJI1)번지2(BUNJI2)건물이름(BLDGNAME)건물(동)이름(DONGNAME)호이름(HONAME)예측년월(MONTH)현재월예측시세(CENTERVALUE)현재월상한가(SANGVALUE)현재월하한가(HAVALUE)1개월전예측시세(CENTERVALUE_1)1개월전상한가(SANGVALUE_1)1개월전하한가(HAVALUE_1)2개월전예측시세(CENTERVALUE_2)2개월전상한가(SANGVALUE_2)2개월전하한가(HAVALUE_2)3개월전예측시세(CENTERVALUE_3)3개월전상한가(SANGVALUE_3)3개월전하한가(HAVALUE_3)4개월전예측시세(CENTERVALUE_4)4개월전상한가(SANGVALUE_4)4개월전하한가(HAVALUE_4)5개월전예측시세(CENTERVALUE_5)5개월전상한가(SANGVALUE_5)5개월전하한가(HAVALUE_5)전용면적(JYAREA)참고한사례수(CSCOUNT)
0202002BV1147010200107860004000HO010서울특별시 강남구 역삼동 7*6*1*1153013900127813<NA><NA>10220200140186327652375727611358762687025810246362139718819330272759344016317684107018651270221776251.15117
1201911BV1138010500100030008000HO005서울특별시 강북구 번동 5*1*5*115001010017413<NA><NA>50120191035816247702597330907395872151121237302521306543270321271974015018219951229321136217561027171.38112
2202011BV1168010300112390012000HO005서울특별시 서초구 양재동 3*7*5*11230108001647거*리*시*<NA>30220201072556327142337732124342522299920836396231048428332493552077027011241792568536280267682154030.0514
3202002BV1147010300105430018000HO006서울특별시 강북구 수유동 2*2*5*114701030018062은*의*집*B*40220200118956218494943122135611372781387266249202184927221193511538552929176761976820097246764040266.3644
4201906BV1154510300109120016000HO001서울특별시 도봉구 방학동 7*5*9*1162010700149523<NA>1*2*40220190511865430797415363666341459200801192031369201762925436220253813204017589200160291111329467.92455
5202003BV1174010700104680017000HO004서울특별시 구로구 오류동 1*6*1*8*1130511200154204<NA><NA>20220200219893282552067317800363472152029516138201374110866331382878521310564751322725013306157026720.52205
6202010BV1165010100107940024000HO004서울특별시 은평구 신사동 3*0*4*114701050012475스*이*1*<NA>10420200948219153202530026755166042210422416443249170932106934013159223502026462683126622237712893259.4235
7201905BV1123010300112000000000HO003서울특별시 동작구 노량진동 2*1*1*4*1165010100187841<NA><NA>50220190435467330871542320374298591814223982413393238831744325101725119599159411721321082145682959053.1623
8201902BV1174010600100980049000HO002서울특별시 광진구 구의동 2*4*3*112901090016239<NA>나*1032019012275764042182884679632681221212728528419116804048423322268432669202064922203225242793357.7636
9202012BV1162010200114870001000HO000서울특별시 중구 신당동 3*8*2*115001060011434<NA><NA>40120201130959149112452421878957682860820387220681137526719398261674532848263701527925644259904364328.3431
년월(KEYMONTH)지번주소+동코드(KEY_DONG)호코드(KEY_HO)주소(ADDRESS)법정동_구코드(SREG)법정동_동코드(SEUB)대지구분(DAEJI)번지1(BUNJI1)번지2(BUNJI2)건물이름(BLDGNAME)건물(동)이름(DONGNAME)호이름(HONAME)예측년월(MONTH)현재월예측시세(CENTERVALUE)현재월상한가(SANGVALUE)현재월하한가(HAVALUE)1개월전예측시세(CENTERVALUE_1)1개월전상한가(SANGVALUE_1)1개월전하한가(HAVALUE_1)2개월전예측시세(CENTERVALUE_2)2개월전상한가(SANGVALUE_2)2개월전하한가(HAVALUE_2)3개월전예측시세(CENTERVALUE_3)3개월전상한가(SANGVALUE_3)3개월전하한가(HAVALUE_3)4개월전예측시세(CENTERVALUE_4)4개월전상한가(SANGVALUE_4)4개월전하한가(HAVALUE_4)5개월전예측시세(CENTERVALUE_5)5개월전상한가(SANGVALUE_5)5개월전하한가(HAVALUE_5)전용면적(JYAREA)참고한사례수(CSCOUNT)
490201910BV1156013000100100011000HO004서울특별시 강서구 화곡동 1*0*4*1171010700124328<NA><NA>3022019092426837760906630189041875190561077703198616564353673086934650172002646532003275542825979.7959
491202005BV1154510200109650018000HO004서울특별시 강동구 천호동 2*1*4*114401030017220<NA><NA>2022020041858219222256532740015129350602403932886215372604224385342173348830987221451870635919972873.659
492202009BV1126010500105210045000HO002서울특별시 서초구 양재동 3*8*111101050011142A*<NA>70520200817664290212423243068222881358521460321361978915019376052020330815313993636323110215612160459.29103
493202001BV1130510200101480475000HO004서울특별시 동작구 대방동 3*1*4*1138010700189610<NA>나*30120200021869243262897219639320532499231086756201835952743310301891221763249661188322367238641209349.38213
494201911BV1144012100102040002000HO000서울특별시 강동구 성내동 3*8*1*11380114001469244<NA><NA>20120191044282224063378213864450382288338838340391523626262202661836725760170102553530002416862788453.07400
495202010BV1154510200108840018000HO004서울특별시 강동구 길동 1*7*4*1153010800142041<NA><NA>2022020092707833666180773126530579909215768221222802714886214171275922659490012995776070589261117053.77155
496202006BV1171011400103090035000HO005서울특별시 구로구 궁동 1*7*1*11590104001521<NA><NA>40120200522687310893824127831734003062627521328861932723409396761227219506903077137504333351437648.38270
497202004BV1153010200101550025000HO000서울특별시 도봉구 쌍문동 4*0*2*7*114101840016713<NA><NA>10120200320199416351162639038156532640912667190611935022664329701666033707234331923122670283052612555.02154
498202010BV1130510300105350211000HO000서울특별시 동작구 흑석동 2*6*2*114101050016923<NA><NA>50220200925594263412393030554206541547827294242833443945270235742220619311242871534219569338911869863.74667
499202011BV1171010400100430009000HO015서울특별시 중랑구 면목동 1*3*8*1138010500177429<NA><NA>20320201035421306141001329842334402705246950156771256224689182953510442467311631973819556217901876654.6420