Overview

Dataset statistics

Number of variables3
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory322.3 KiB
Average record size in memory33.0 B

Variable types

Numeric1
Text2

Dataset

Description개별주택가격은 국토교통부장관이 매년 공시하는 표준주택가격을 기준으로 시장·군수·구청장이 조사한 개별주택의 특성과 비교표준주택의 특성을 비교하여 국토교통부장관이 작성·공급한 「주택가격비준표」 상의 주택특성 차이에 따른 가격배율을 산출하고 이를 표준주택가격에 곱하여 산정한 후 한국부동산원의 검증을 받아 주택소유자 등의 의견수렴과 시·군·구 부동산가격공시위원회 심의 등의 절차를 거쳐 시장·군수 ·구청장이 결정 공시하는 개별주택의 가격
Author경상남도 하동군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15013457

Alerts

일련번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:31:18.078815
Analysis finished2023-12-11 00:31:18.953158
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8365.0229
Minimum2
Maximum16711
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T09:31:19.043092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile836.95
Q14181.75
median8374.5
Q312562.25
95-th percentile15865.1
Maximum16711
Range16709
Interquartile range (IQR)8380.5

Descriptive statistics

Standard deviation4831.4526
Coefficient of variation (CV)0.57757793
Kurtosis-1.2085314
Mean8365.0229
Median Absolute Deviation (MAD)4191
Skewness-0.0094164265
Sum83650229
Variance23342934
MonotonicityNot monotonic
2023-12-11T09:31:19.197569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13897 1
 
< 0.1%
16511 1
 
< 0.1%
11154 1
 
< 0.1%
12056 1
 
< 0.1%
14733 1
 
< 0.1%
9913 1
 
< 0.1%
3419 1
 
< 0.1%
207 1
 
< 0.1%
10670 1
 
< 0.1%
16417 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
2 1
< 0.1%
4 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
13 1
< 0.1%
14 1
< 0.1%
15 1
< 0.1%
ValueCountFrequency (%)
16711 1
< 0.1%
16710 1
< 0.1%
16706 1
< 0.1%
16705 1
< 0.1%
16701 1
< 0.1%
16700 1
< 0.1%
16698 1
< 0.1%
16696 1
< 0.1%
16695 1
< 0.1%
16694 1
< 0.1%

소재지
Text

Distinct9881
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T09:31:19.544928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length16.2546
Min length13

Characters and Unicode

Total characters162546
Distinct characters127
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9771 ?
Unique (%)97.7%

Sample

1st row하동군 청암면 묵계리 1081-1
2nd row하동군 진교면 관곡리 406-7
3rd row하동군 금남면 대치리 697-2
4th row하동군 금성면 궁항리 432-5
5th row하동군 옥종면 병천리 422
ValueCountFrequency (%)
하동군 10000
25.0%
하동읍 1370
 
3.4%
진교면 1074
 
2.7%
악양면 1061
 
2.6%
옥종면 1030
 
2.6%
금남면 829
 
2.1%
화개면 807
 
2.0%
양보면 605
 
1.5%
고전면 598
 
1.5%
금성면 593
 
1.5%
Other values (5695) 22089
55.1%
2023-12-11T09:31:20.027635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30056
18.5%
동 11715
 
7.2%
하 11445
 
7.0%
군 10000
 
6.2%
리 10000
 
6.2%
면 8630
 
5.3%
1 7288
 
4.5%
- 5747
 
3.5%
2 4685
 
2.9%
3 4196
 
2.6%
Other values (117) 58784
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 89596
55.1%
Decimal Number 37147
22.9%
Space Separator 30056
 
18.5%
Dash Punctuation 5747
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 11715
 
13.1%
하 11445
 
12.8%
군 10000
 
11.2%
리 10000
 
11.2%
면 8630
 
9.6%
양 1936
 
2.2%
읍 1897
 
2.1%
천 1524
 
1.7%
금 1506
 
1.7%
진 1425
 
1.6%
Other values (105) 29518
32.9%
Decimal Number
ValueCountFrequency (%)
1 7288
19.6%
2 4685
12.6%
3 4196
11.3%
4 3874
10.4%
5 3300
8.9%
6 3293
8.9%
7 2912
 
7.8%
8 2576
 
6.9%
9 2551
 
6.9%
0 2472
 
6.7%
Space Separator
ValueCountFrequency (%)
30056
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5747
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 89596
55.1%
Common 72950
44.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 11715
 
13.1%
하 11445
 
12.8%
군 10000
 
11.2%
리 10000
 
11.2%
면 8630
 
9.6%
양 1936
 
2.2%
읍 1897
 
2.1%
천 1524
 
1.7%
금 1506
 
1.7%
진 1425
 
1.6%
Other values (105) 29518
32.9%
Common
ValueCountFrequency (%)
30056
41.2%
1 7288
 
10.0%
- 5747
 
7.9%
2 4685
 
6.4%
3 4196
 
5.8%
4 3874
 
5.3%
5 3300
 
4.5%
6 3293
 
4.5%
7 2912
 
4.0%
8 2576
 
3.5%
Other values (2) 5023
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 89596
55.1%
ASCII 72950
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30056
41.2%
1 7288
 
10.0%
- 5747
 
7.9%
2 4685
 
6.4%
3 4196
 
5.8%
4 3874
 
5.3%
5 3300
 
4.5%
6 3293
 
4.5%
7 2912
 
4.0%
8 2576
 
3.5%
Other values (2) 5023
 
6.9%
Hangul
ValueCountFrequency (%)
동 11715
 
13.1%
하 11445
 
12.8%
군 10000
 
11.2%
리 10000
 
11.2%
면 8630
 
9.6%
양 1936
 
2.2%
읍 1897
 
2.1%
천 1524
 
1.7%
금 1506
 
1.7%
진 1425
 
1.6%
Other values (105) 29518
32.9%

주택공시가격
Text

Distinct1616
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T09:31:20.357493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length9.9468
Min length7

Characters and Unicode

Total characters99468
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique393 ?
Unique (%)3.9%

Sample

1st row95,600,000
2nd row83,200,000
3rd row38,700,000
4th row21,000,000
5th row8,330,000
ValueCountFrequency (%)
10,200,000 37
 
0.4%
10,700,000 35
 
0.4%
16,200,000 35
 
0.4%
11,700,000 35
 
0.4%
14,200,000 34
 
0.3%
13,500,000 33
 
0.3%
12,800,000 33
 
0.3%
12,100,000 32
 
0.3%
10,500,000 32
 
0.3%
19,400,000 31
 
0.3%
Other values (1606) 9663
96.6%
2023-12-11T09:31:20.995025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 51700
52.0%
, 19992
 
20.1%
1 5155
 
5.2%
2 3935
 
4.0%
3 3366
 
3.4%
4 2892
 
2.9%
5 2747
 
2.8%
6 2519
 
2.5%
7 2432
 
2.4%
8 2384
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 79476
79.9%
Other Punctuation 19992
 
20.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 51700
65.1%
1 5155
 
6.5%
2 3935
 
5.0%
3 3366
 
4.2%
4 2892
 
3.6%
5 2747
 
3.5%
6 2519
 
3.2%
7 2432
 
3.1%
8 2384
 
3.0%
9 2346
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 19992
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 99468
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 51700
52.0%
, 19992
 
20.1%
1 5155
 
5.2%
2 3935
 
4.0%
3 3366
 
3.4%
4 2892
 
2.9%
5 2747
 
2.8%
6 2519
 
2.5%
7 2432
 
2.4%
8 2384
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 99468
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 51700
52.0%
, 19992
 
20.1%
1 5155
 
5.2%
2 3935
 
4.0%
3 3366
 
3.4%
4 2892
 
2.9%
5 2747
 
2.8%
6 2519
 
2.5%
7 2432
 
2.4%
8 2384
 
2.4%

Interactions

2023-12-11T09:31:18.645020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-11T09:31:18.832191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:31:18.920039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

일련번호소재지주택공시가격
1389613897하동군 청암면 묵계리 1081-195,600,000
1081810819하동군 진교면 관곡리 406-783,200,000
86178618하동군 금남면 대치리 697-238,700,000
1601416015하동군 금성면 궁항리 432-521,000,000
1476714768하동군 옥종면 병천리 4228,330,000
1094510946하동군 진교면 월운리 34030,100,000
1318413185하동군 북천면 서황리 1078-25,090,000
1476914770하동군 옥종면 병천리 441-110,500,000
37763777하동군 악양면 축지리 484-148,900,000
1293712938하동군 북천면 옥정리 46-819,900,000
일련번호소재지주택공시가격
1233312334하동군 양보면 박달리 1107-119,000,000
1509215093하동군 옥종면 북방리 186-321,800,000
450451하동군 하동읍 읍내리 452-729,700,000
76467647하동군 고전면 신월리 557-612,800,000
60466047하동군 적량면 동산리 10517,100,000
1418814189하동군 옥종면 청룡리 329-249,900,000
654655하동군 하동읍 읍내리 110130,600,000
47064707하동군 악양면 매계리 895-343,600,000
1643016431하동군 금성면 갈사리 375-176,300,000
1136411365하동군 진교면 술상리 27-1461,600,000