Overview

Dataset statistics

Number of variables24
Number of observations74
Missing cells91
Missing cells (%)5.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.7 KiB
Average record size in memory216.8 B

Variable types

Text1
Numeric23

Dataset

Description한국부동산원(구.한국감정원)에서 제공하는 상업용부동산 임대동향조사 중 오피스의 분기별 지역별 임대료 데이터입니다. - (단위: 천원/㎡, 면적(㎡): 전용+공용기준) - 공표시기 : 계간(분기)
Author한국부동산원
URLhttps://www.data.go.kr/data/15069787/fileData.do

Alerts

2005_연간 has 7 (9.5%) missing valuesMissing
2006_상반기 has 7 (9.5%) missing valuesMissing
2006_하반기 has 7 (9.5%) missing valuesMissing
2007_상반기 has 7 (9.5%) missing valuesMissing
2007_하반기 has 7 (9.5%) missing valuesMissing
2008_상반기 has 7 (9.5%) missing valuesMissing
2008_하반기 has 7 (9.5%) missing valuesMissing
2009_1분기 has 7 (9.5%) missing valuesMissing
2009_2분기 has 7 (9.5%) missing valuesMissing
2009_3분기 has 7 (9.5%) missing valuesMissing
2009_4분기 has 7 (9.5%) missing valuesMissing
2010_1분기 has 7 (9.5%) missing valuesMissing
2010_2분기 has 7 (9.5%) missing valuesMissing

Reproduction

Analysis started2023-12-12 12:29:34.443917
Analysis finished2023-12-12 12:29:34.771979
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Text

Distinct73
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size724.0 B
2023-12-12T21:29:34.993199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length6.5810811
Min length3

Characters and Unicode

Total characters487
Distinct characters83
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)97.3%

Sample

1st row서울
2nd row서울 도심
3rd row서울 도심 신문로
4th row서울 도심 우정국로
5th row서울 도심 무교
ValueCountFrequency (%)
서울 37
23.6%
강남 12
 
7.6%
기타 9
 
5.7%
도심 9
 
5.7%
대전 7
 
4.5%
여의도마포 6
 
3.8%
광주 5
 
3.2%
서면 4
 
2.5%
대구 4
 
2.5%
인천 4
 
2.5%
Other values (54) 60
38.2%
2023-12-12T21:29:35.879191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
109
22.4%
서 45
 
9.2%
울 38
 
7.8%
남 21
 
4.3%
도 17
 
3.5%
강 13
 
2.7%
대 13
 
2.7%
부 11
 
2.3%
타 9
 
1.8%
산 9
 
1.8%
Other values (73) 202
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 378
77.6%
Space Separator 109
 
22.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 45
 
11.9%
울 38
 
10.1%
남 21
 
5.6%
도 17
 
4.5%
강 13
 
3.4%
대 13
 
3.4%
부 11
 
2.9%
타 9
 
2.4%
산 9
 
2.4%
기 9
 
2.4%
Other values (72) 193
51.1%
Space Separator
ValueCountFrequency (%)
109
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 378
77.6%
Common 109
 
22.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 45
 
11.9%
울 38
 
10.1%
남 21
 
5.6%
도 17
 
4.5%
강 13
 
3.4%
대 13
 
3.4%
부 11
 
2.9%
타 9
 
2.4%
산 9
 
2.4%
기 9
 
2.4%
Other values (72) 193
51.1%
Common
ValueCountFrequency (%)
109
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 378
77.6%
ASCII 109
 
22.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
109
100.0%
Hangul
ValueCountFrequency (%)
서 45
 
11.9%
울 38
 
10.1%
남 21
 
5.6%
도 17
 
4.5%
강 13
 
3.4%
대 13
 
3.4%
부 11
 
2.9%
타 9
 
2.4%
산 9
 
2.4%
기 9
 
2.4%
Other values (72) 193
51.1%

2005_연간
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)83.6%
Missing7
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean11.307463
Minimum3.1
Maximum24.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-12T21:29:36.099638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.1
5-th percentile3.99
Q16.35
median9.7
Q316.9
95-th percentile20.45
Maximum24.6
Range21.5
Interquartile range (IQR)10.55

Descriptive statistics

Standard deviation5.8227952
Coefficient of variation (CV)0.51495153
Kurtosis-1.1340296
Mean11.307463
Median Absolute Deviation (MAD)4.3
Skewness0.428511
Sum757.6
Variance33.904943
MonotonicityNot monotonic
2023-12-12T21:29:36.274050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.8 4
 
5.4%
18.8 3
 
4.1%
5.6 2
 
2.7%
17.5 2
 
2.7%
8.4 2
 
2.7%
6.0 2
 
2.7%
8.2 2
 
2.7%
10.9 2
 
2.7%
7.4 1
 
1.4%
6.2 1
 
1.4%
Other values (46) 46
62.2%
(Missing) 7
 
9.5%
ValueCountFrequency (%)
3.1 1
1.4%
3.7 1
1.4%
3.8 1
1.4%
3.9 1
1.4%
4.2 1
1.4%
4.3 1
1.4%
4.4 1
1.4%
4.6 1
1.4%
5.1 1
1.4%
5.2 1
1.4%
ValueCountFrequency (%)
24.6 1
 
1.4%
21.9 1
 
1.4%
21.5 1
 
1.4%
20.6 1
 
1.4%
20.1 1
 
1.4%
19.8 1
 
1.4%
19.3 1
 
1.4%
19.0 1
 
1.4%
18.8 3
4.1%
18.2 1
 
1.4%

2006_상반기
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)82.1%
Missing7
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean11.428358
Minimum3.9
Maximum25.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-12T21:29:36.478997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.9
5-th percentile4.43
Q16.3
median9.1
Q317.05
95-th percentile20.08
Maximum25.4
Range21.5
Interquartile range (IQR)10.75

Descriptive statistics

Standard deviation5.8466464
Coefficient of variation (CV)0.51159111
Kurtosis-1.1080736
Mean11.428358
Median Absolute Deviation (MAD)4
Skewness0.47615611
Sum765.7
Variance34.183275
MonotonicityNot monotonic
2023-12-12T21:29:36.659626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.3 3
 
4.1%
4.4 2
 
2.7%
19.3 2
 
2.7%
18.0 2
 
2.7%
7.1 2
 
2.7%
7.0 2
 
2.7%
16.8 2
 
2.7%
8.1 2
 
2.7%
9.1 2
 
2.7%
5.3 2
 
2.7%
Other values (45) 46
62.2%
(Missing) 7
 
9.5%
ValueCountFrequency (%)
3.9 1
1.4%
4.1 1
1.4%
4.4 2
2.7%
4.5 1
1.4%
4.7 1
1.4%
4.8 1
1.4%
4.9 1
1.4%
5.1 1
1.4%
5.2 1
1.4%
5.3 2
2.7%
ValueCountFrequency (%)
25.4 1
1.4%
23.0 1
1.4%
20.3 1
1.4%
20.2 1
1.4%
19.8 1
1.4%
19.6 1
1.4%
19.4 1
1.4%
19.3 2
2.7%
19.1 1
1.4%
18.8 1
1.4%

2006_하반기
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)83.6%
Missing7
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean11.479104
Minimum4
Maximum25.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-12T21:29:36.874707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4.63
Q16.3
median9.1
Q317.3
95-th percentile20.41
Maximum25.5
Range21.5
Interquartile range (IQR)11

Descriptive statistics

Standard deviation5.9785358
Coefficient of variation (CV)0.52081901
Kurtosis-1.0513096
Mean11.479104
Median Absolute Deviation (MAD)4
Skewness0.53223391
Sum769.1
Variance35.74289
MonotonicityNot monotonic
2023-12-12T21:29:37.046959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.3 3
 
4.1%
9.1 2
 
2.7%
4.7 2
 
2.7%
5.1 2
 
2.7%
5.5 2
 
2.7%
7.1 2
 
2.7%
7.0 2
 
2.7%
6.8 2
 
2.7%
8.6 2
 
2.7%
17.3 2
 
2.7%
Other values (46) 46
62.2%
(Missing) 7
 
9.5%
ValueCountFrequency (%)
4.0 1
1.4%
4.2 1
1.4%
4.3 1
1.4%
4.6 1
1.4%
4.7 2
2.7%
4.9 1
1.4%
5.1 2
2.7%
5.2 1
1.4%
5.5 2
2.7%
5.7 1
1.4%
ValueCountFrequency (%)
25.5 1
1.4%
23.4 1
1.4%
23.0 1
1.4%
20.5 1
1.4%
20.2 1
1.4%
20.0 1
1.4%
19.9 1
1.4%
19.6 1
1.4%
19.5 1
1.4%
18.8 1
1.4%

2007_상반기
Real number (ℝ)

MISSING 

Distinct59
Distinct (%)88.1%
Missing7
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean11.631343
Minimum3.7
Maximum26.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-12T21:29:37.207957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.7
5-th percentile4.43
Q16.6
median9.4
Q317.2
95-th percentile20.5
Maximum26.6
Range22.9
Interquartile range (IQR)10.6

Descriptive statistics

Standard deviation6.1462284
Coefficient of variation (CV)0.52841949
Kurtosis-0.88582169
Mean11.631343
Median Absolute Deviation (MAD)4.2
Skewness0.56847048
Sum779.3
Variance37.776124
MonotonicityNot monotonic
2023-12-12T21:29:37.378968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17.2 2
 
2.7%
4.8 2
 
2.7%
4.4 2
 
2.7%
7.7 2
 
2.7%
7.1 2
 
2.7%
20.5 2
 
2.7%
17.7 2
 
2.7%
18.3 2
 
2.7%
11.5 1
 
1.4%
6.4 1
 
1.4%
Other values (49) 49
66.2%
(Missing) 7
 
9.5%
ValueCountFrequency (%)
3.7 1
1.4%
3.9 1
1.4%
4.4 2
2.7%
4.5 1
1.4%
4.7 1
1.4%
4.8 2
2.7%
5.0 1
1.4%
5.3 1
1.4%
5.4 1
1.4%
5.7 1
1.4%
ValueCountFrequency (%)
26.6 1
1.4%
25.2 1
1.4%
23.5 1
1.4%
20.5 2
2.7%
20.3 1
1.4%
20.1 1
1.4%
20.0 1
1.4%
19.5 1
1.4%
19.4 1
1.4%
19.3 1
1.4%

2007_하반기
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)85.1%
Missing7
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean11.755224
Minimum3.7
Maximum27.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-12T21:29:37.531510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.7
5-th percentile4.5
Q16.8
median9.3
Q317.2
95-th percentile20.91
Maximum27.4
Range23.7
Interquartile range (IQR)10.4

Descriptive statistics

Standard deviation6.1214299
Coefficient of variation (CV)0.52074124
Kurtosis-0.92947105
Mean11.755224
Median Absolute Deviation (MAD)4.3
Skewness0.52959812
Sum787.6
Variance37.471904
MonotonicityNot monotonic
2023-12-12T21:29:37.698294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.8 2
 
2.7%
7.5 2
 
2.7%
4.5 2
 
2.7%
9.1 2
 
2.7%
18.8 2
 
2.7%
6.8 2
 
2.7%
16.7 2
 
2.7%
7.7 2
 
2.7%
19.8 2
 
2.7%
15.5 2
 
2.7%
Other values (47) 47
63.5%
(Missing) 7
 
9.5%
ValueCountFrequency (%)
3.7 1
1.4%
4.0 1
1.4%
4.3 1
1.4%
4.5 2
2.7%
4.7 1
1.4%
4.9 1
1.4%
5.0 1
1.4%
5.1 1
1.4%
5.4 1
1.4%
5.6 1
1.4%
ValueCountFrequency (%)
27.4 1
1.4%
23.7 1
1.4%
22.9 1
1.4%
21.0 1
1.4%
20.7 1
1.4%
20.4 1
1.4%
20.2 1
1.4%
19.9 1
1.4%
19.8 2
2.7%
18.8 2
2.7%

2008_상반기
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)83.6%
Missing7
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean12.09403
Minimum3.6
Maximum27.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-12T21:29:37.896626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile4.43
Q16.75
median9.9
Q317.45
95-th percentile22.77
Maximum27.8
Range24.2
Interquartile range (IQR)10.7

Descriptive statistics

Standard deviation6.4961966
Coefficient of variation (CV)0.53714078
Kurtosis-1.0352292
Mean12.09403
Median Absolute Deviation (MAD)4.7
Skewness0.52493831
Sum810.3
Variance42.20057
MonotonicityNot monotonic
2023-12-12T21:29:38.115947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.7 3
 
4.1%
5.8 2
 
2.7%
20.7 2
 
2.7%
7.1 2
 
2.7%
7.2 2
 
2.7%
20.3 2
 
2.7%
7.3 2
 
2.7%
17.4 2
 
2.7%
7.8 2
 
2.7%
4.4 2
 
2.7%
Other values (46) 46
62.2%
(Missing) 7
 
9.5%
ValueCountFrequency (%)
3.6 1
1.4%
4.3 1
1.4%
4.4 2
2.7%
4.5 1
1.4%
4.6 1
1.4%
4.8 1
1.4%
4.9 1
1.4%
5.3 1
1.4%
5.6 1
1.4%
5.8 2
2.7%
ValueCountFrequency (%)
27.8 1
1.4%
24.5 1
1.4%
23.8 1
1.4%
23.4 1
1.4%
21.3 1
1.4%
21.1 1
1.4%
20.8 1
1.4%
20.7 2
2.7%
20.6 1
1.4%
20.4 1
1.4%

2008_하반기
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)83.6%
Missing7
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean12.161194
Minimum3.8
Maximum27.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-12T21:29:38.333607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.8
5-th percentile4.5
Q16.75
median9.8
Q317.8
95-th percentile23.44
Maximum27.7
Range23.9
Interquartile range (IQR)11.05

Descriptive statistics

Standard deviation6.5636962
Coefficient of variation (CV)0.53972465
Kurtosis-1.0421603
Mean12.161194
Median Absolute Deviation (MAD)4.8
Skewness0.53722601
Sum814.8
Variance43.082108
MonotonicityNot monotonic
2023-12-12T21:29:38.527915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.7 3
 
4.1%
9.8 3
 
4.1%
7.2 3
 
4.1%
6.0 3
 
4.1%
4.5 2
 
2.7%
7.0 2
 
2.7%
4.4 2
 
2.7%
5.0 1
 
1.4%
4.6 1
 
1.4%
5.4 1
 
1.4%
Other values (46) 46
62.2%
(Missing) 7
 
9.5%
ValueCountFrequency (%)
3.8 1
 
1.4%
4.4 2
2.7%
4.5 2
2.7%
4.6 1
 
1.4%
4.8 1
 
1.4%
5.0 1
 
1.4%
5.4 1
 
1.4%
5.6 1
 
1.4%
5.8 1
 
1.4%
6.0 3
4.1%
ValueCountFrequency (%)
27.7 1
1.4%
24.4 1
1.4%
23.8 1
1.4%
23.5 1
1.4%
23.3 1
1.4%
22.3 1
1.4%
21.7 1
1.4%
21.1 1
1.4%
20.5 1
1.4%
20.4 1
1.4%

2009_1분기
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)83.6%
Missing7
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean12.228358
Minimum3.6
Maximum27.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-12T21:29:38.723410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile4.6
Q16.75
median10
Q317.75
95-th percentile23.42
Maximum27.9
Range24.3
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.6312576
Coefficient of variation (CV)0.54228519
Kurtosis-1.0534449
Mean12.228358
Median Absolute Deviation (MAD)5
Skewness0.53600444
Sum819.3
Variance43.973578
MonotonicityNot monotonic
2023-12-12T21:29:38.923342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.0 4
 
5.4%
6.0 2
 
2.7%
21.1 2
 
2.7%
7.2 2
 
2.7%
5.9 2
 
2.7%
9.8 2
 
2.7%
5.0 2
 
2.7%
4.6 2
 
2.7%
4.4 2
 
2.7%
5.6 1
 
1.4%
Other values (46) 46
62.2%
(Missing) 7
 
9.5%
ValueCountFrequency (%)
3.6 1
1.4%
4.4 2
2.7%
4.6 2
2.7%
4.9 1
1.4%
5.0 2
2.7%
5.4 1
1.4%
5.6 1
1.4%
5.9 2
2.7%
6.0 2
2.7%
6.5 1
1.4%
ValueCountFrequency (%)
27.9 1
1.4%
24.8 1
1.4%
24.0 1
1.4%
23.9 1
1.4%
22.3 1
1.4%
22.2 1
1.4%
21.8 1
1.4%
21.2 1
1.4%
21.1 2
2.7%
20.8 1
1.4%

2009_2분기
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)80.6%
Missing7
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean12.308955
Minimum3.6
Maximum27.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-12T21:29:39.142883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile4.6
Q16.75
median10.1
Q317.8
95-th percentile23.86
Maximum27.9
Range24.3
Interquartile range (IQR)11.05

Descriptive statistics

Standard deviation6.7058259
Coefficient of variation (CV)0.54479245
Kurtosis-1.0095868
Mean12.308955
Median Absolute Deviation (MAD)4.8
Skewness0.563195
Sum824.7
Variance44.9681
MonotonicityNot monotonic
2023-12-12T21:29:39.342055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.0 3
 
4.1%
6.0 3
 
4.1%
9.5 2
 
2.7%
7.2 2
 
2.7%
6.7 2
 
2.7%
17.6 2
 
2.7%
16.2 2
 
2.7%
7.6 2
 
2.7%
17.8 2
 
2.7%
5.7 2
 
2.7%
Other values (44) 45
60.8%
(Missing) 7
 
9.5%
ValueCountFrequency (%)
3.6 1
 
1.4%
4.2 1
 
1.4%
4.4 1
 
1.4%
4.6 2
2.7%
5.0 1
 
1.4%
5.1 1
 
1.4%
5.3 1
 
1.4%
5.7 2
2.7%
6.0 3
4.1%
6.1 1
 
1.4%
ValueCountFrequency (%)
27.9 1
1.4%
25.7 1
1.4%
24.5 1
1.4%
24.1 1
1.4%
23.3 1
1.4%
22.3 1
1.4%
22.2 1
1.4%
21.6 1
1.4%
21.2 1
1.4%
21.1 1
1.4%

2009_3분기
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)86.6%
Missing7
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean12.320896
Minimum3.8
Maximum27.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-12T21:29:39.560435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.8
5-th percentile4.46
Q16.8
median10.1
Q318.1
95-th percentile23.86
Maximum27.9
Range24.1
Interquartile range (IQR)11.3

Descriptive statistics

Standard deviation6.7129124
Coefficient of variation (CV)0.54483965
Kurtosis-1.026764
Mean12.320896
Median Absolute Deviation (MAD)4.8
Skewness0.55534395
Sum825.5
Variance45.063193
MonotonicityNot monotonic
2023-12-12T21:29:39.781041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.1 3
 
4.1%
17.8 2
 
2.7%
7.6 2
 
2.7%
9.5 2
 
2.7%
6.7 2
 
2.7%
7.3 2
 
2.7%
22.4 2
 
2.7%
6.0 2
 
2.7%
7.2 1
 
1.4%
6.1 1
 
1.4%
Other values (48) 48
64.9%
(Missing) 7
 
9.5%
ValueCountFrequency (%)
3.8 1
1.4%
4.2 1
1.4%
4.3 1
1.4%
4.4 1
1.4%
4.6 1
1.4%
5.0 1
1.4%
5.1 1
1.4%
5.3 1
1.4%
5.6 1
1.4%
5.7 1
1.4%
ValueCountFrequency (%)
27.9 1
1.4%
25.6 1
1.4%
24.5 1
1.4%
24.1 1
1.4%
23.3 1
1.4%
22.4 2
2.7%
21.6 1
1.4%
21.3 1
1.4%
20.8 1
1.4%
20.5 1
1.4%

2009_4분기
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)86.6%
Missing7
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean12.314925
Minimum3.6
Maximum28.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-12T21:29:39.975646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile4.4
Q16.65
median10.1
Q318.3
95-th percentile23.81
Maximum28.3
Range24.7
Interquartile range (IQR)11.65

Descriptive statistics

Standard deviation6.7680008
Coefficient of variation (CV)0.54957708
Kurtosis-1.019665
Mean12.314925
Median Absolute Deviation (MAD)4.7
Skewness0.54530852
Sum825.1
Variance45.805834
MonotonicityNot monotonic
2023-12-12T21:29:40.174371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.8 2
 
2.7%
5.9 2
 
2.7%
6.7 2
 
2.7%
6.9 2
 
2.7%
4.4 2
 
2.7%
4.0 2
 
2.7%
6.6 2
 
2.7%
9.5 2
 
2.7%
15.4 2
 
2.7%
7.1 1
 
1.4%
Other values (48) 48
64.9%
(Missing) 7
 
9.5%
ValueCountFrequency (%)
3.6 1
1.4%
4.0 2
2.7%
4.4 2
2.7%
4.7 1
1.4%
5.1 1
1.4%
5.3 1
1.4%
5.6 1
1.4%
5.8 1
1.4%
5.9 2
2.7%
6.0 1
1.4%
ValueCountFrequency (%)
28.3 1
1.4%
25.6 1
1.4%
24.5 1
1.4%
24.2 1
1.4%
22.9 1
1.4%
22.5 1
1.4%
22.2 1
1.4%
21.6 1
1.4%
21.3 1
1.4%
20.9 1
1.4%

2010_1분기
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)85.1%
Missing7
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean12.428358
Minimum3.6
Maximum28.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-12T21:29:40.376745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile4.53
Q16.6
median10.1
Q318.4
95-th percentile23.58
Maximum28.3
Range24.7
Interquartile range (IQR)11.8

Descriptive statistics

Standard deviation6.8897994
Coefficient of variation (CV)0.55436118
Kurtosis-0.98550631
Mean12.428358
Median Absolute Deviation (MAD)4.7
Skewness0.56740249
Sum832.7
Variance47.469335
MonotonicityNot monotonic
2023-12-12T21:29:40.577561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.0 3
 
4.1%
6.6 3
 
4.1%
7.8 3
 
4.1%
22.0 2
 
2.7%
18.4 2
 
2.7%
6.9 2
 
2.7%
7.3 2
 
2.7%
9.6 1
 
1.4%
10.1 1
 
1.4%
10.6 1
 
1.4%
Other values (47) 47
63.5%
(Missing) 7
 
9.5%
ValueCountFrequency (%)
3.6 1
1.4%
4.1 1
1.4%
4.3 1
1.4%
4.5 1
1.4%
4.6 1
1.4%
4.7 1
1.4%
5.1 1
1.4%
5.3 1
1.4%
5.4 1
1.4%
5.8 1
1.4%
ValueCountFrequency (%)
28.3 1
1.4%
27.6 1
1.4%
24.4 1
1.4%
23.7 1
1.4%
23.3 1
1.4%
22.6 1
1.4%
22.0 2
2.7%
21.8 1
1.4%
21.6 1
1.4%
21.4 1
1.4%

2010_2분기
Real number (ℝ)

MISSING 

Distinct59
Distinct (%)88.1%
Missing7
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean12.479104
Minimum3.7
Maximum28.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-12T21:29:41.151096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.7
5-th percentile4.63
Q16.8
median10
Q318.6
95-th percentile23.51
Maximum28.4
Range24.7
Interquartile range (IQR)11.8

Descriptive statistics

Standard deviation6.8696199
Coefficient of variation (CV)0.55048982
Kurtosis-0.99339371
Mean12.479104
Median Absolute Deviation (MAD)4.6
Skewness0.56459395
Sum836.1
Variance47.191678
MonotonicityNot monotonic
2023-12-12T21:29:41.359741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.9 2
 
2.7%
6.9 2
 
2.7%
7.3 2
 
2.7%
7.7 2
 
2.7%
7.2 2
 
2.7%
6.0 2
 
2.7%
22.0 2
 
2.7%
18.6 2
 
2.7%
4.8 1
 
1.4%
10.0 1
 
1.4%
Other values (49) 49
66.2%
(Missing) 7
 
9.5%
ValueCountFrequency (%)
3.7 1
1.4%
4.1 1
1.4%
4.2 1
1.4%
4.6 1
1.4%
4.7 1
1.4%
4.8 1
1.4%
5.2 1
1.4%
5.4 1
1.4%
5.6 1
1.4%
5.9 1
1.4%
ValueCountFrequency (%)
28.4 1
1.4%
27.6 1
1.4%
24.3 1
1.4%
23.6 1
1.4%
23.3 1
1.4%
22.2 1
1.4%
22.0 2
2.7%
21.9 1
1.4%
21.6 1
1.4%
21.3 1
1.4%

2010_3분기
Real number (ℝ)

Distinct63
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.454054
Minimum3.7
Maximum29.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-12T21:29:41.531140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.7
5-th percentile4.895
Q16.95
median10.15
Q318.25
95-th percentile23.535
Maximum29.5
Range25.8
Interquartile range (IQR)11.3

Descriptive statistics

Standard deviation6.6992167
Coefficient of variation (CV)0.53791453
Kurtosis-0.77908728
Mean12.454054
Median Absolute Deviation (MAD)4.05
Skewness0.6727159
Sum921.6
Variance44.879504
MonotonicityNot monotonic
2023-12-12T21:29:41.745538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.4 5
 
6.8%
4.7 2
 
2.7%
5.4 2
 
2.7%
6.5 2
 
2.7%
6.6 2
 
2.7%
6.1 2
 
2.7%
6.4 2
 
2.7%
10.4 2
 
2.7%
19.8 1
 
1.4%
6.8 1
 
1.4%
Other values (53) 53
71.6%
ValueCountFrequency (%)
3.7 1
1.4%
4.6 1
1.4%
4.7 2
2.7%
5.0 1
1.4%
5.2 1
1.4%
5.4 2
2.7%
6.1 2
2.7%
6.2 1
1.4%
6.4 2
2.7%
6.5 2
2.7%
ValueCountFrequency (%)
29.5 1
1.4%
27.3 1
1.4%
24.2 1
1.4%
23.6 1
1.4%
23.5 1
1.4%
23.4 1
1.4%
23.3 1
1.4%
22.3 1
1.4%
22.0 1
1.4%
21.8 1
1.4%

2010_4분기
Real number (ℝ)

Distinct61
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.514865
Minimum3.8
Maximum29.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-12T21:29:41.914176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.8
5-th percentile4.895
Q16.95
median9.95
Q318.275
95-th percentile24.035
Maximum29.3
Range25.5
Interquartile range (IQR)11.325

Descriptive statistics

Standard deviation6.8149449
Coefficient of variation (CV)0.54454803
Kurtosis-0.7639728
Mean12.514865
Median Absolute Deviation (MAD)3.85
Skewness0.6903663
Sum926.1
Variance46.443475
MonotonicityNot monotonic
2023-12-12T21:29:42.106060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.4 4
 
5.4%
6.3 3
 
4.1%
10.4 2
 
2.7%
7.9 2
 
2.7%
4.7 2
 
2.7%
6.5 2
 
2.7%
15.9 2
 
2.7%
8.3 2
 
2.7%
22.3 2
 
2.7%
7.3 2
 
2.7%
Other values (51) 51
68.9%
ValueCountFrequency (%)
3.8 1
 
1.4%
4.3 1
 
1.4%
4.7 2
2.7%
5.0 1
 
1.4%
5.2 1
 
1.4%
5.3 1
 
1.4%
5.4 1
 
1.4%
6.1 1
 
1.4%
6.2 1
 
1.4%
6.3 3
4.1%
ValueCountFrequency (%)
29.3 1
1.4%
27.3 1
1.4%
26.6 1
1.4%
24.1 1
1.4%
24.0 1
1.4%
23.4 1
1.4%
23.2 1
1.4%
22.4 1
1.4%
22.3 2
2.7%
22.1 1
1.4%

2011_1분기
Real number (ℝ)

Distinct59
Distinct (%)79.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.525676
Minimum3.8
Maximum29.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-12T21:29:42.279204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.8
5-th percentile4.83
Q16.975
median10
Q318.275
95-th percentile24.07
Maximum29.2
Range25.4
Interquartile range (IQR)11.3

Descriptive statistics

Standard deviation6.836627
Coefficient of variation (CV)0.54580904
Kurtosis-0.75998741
Mean12.525676
Median Absolute Deviation (MAD)3.8
Skewness0.68987883
Sum926.9
Variance46.739469
MonotonicityNot monotonic
2023-12-12T21:29:42.490177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.3 3
 
4.1%
6.2 3
 
4.1%
7.4 3
 
4.1%
6.8 2
 
2.7%
18.7 2
 
2.7%
7.6 2
 
2.7%
7.9 2
 
2.7%
4.7 2
 
2.7%
9.3 2
 
2.7%
7.3 2
 
2.7%
Other values (49) 51
68.9%
ValueCountFrequency (%)
3.8 1
 
1.4%
4.3 1
 
1.4%
4.7 2
2.7%
4.9 1
 
1.4%
5.2 1
 
1.4%
5.3 1
 
1.4%
5.4 1
 
1.4%
6.2 3
4.1%
6.3 3
4.1%
6.4 1
 
1.4%
ValueCountFrequency (%)
29.2 1
1.4%
27.7 1
1.4%
26.7 1
1.4%
24.2 1
1.4%
24.0 1
1.4%
23.4 1
1.4%
23.2 1
1.4%
22.4 2
2.7%
22.2 1
1.4%
22.0 1
1.4%

2011_2분기
Real number (ℝ)

Distinct62
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.632432
Minimum3.7
Maximum29.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-12T21:29:42.672382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.7
5-th percentile4.83
Q16.975
median10.1
Q318.275
95-th percentile24.51
Maximum29.3
Range25.6
Interquartile range (IQR)11.3

Descriptive statistics

Standard deviation6.9096737
Coefficient of variation (CV)0.54697888
Kurtosis-0.76709456
Mean12.632432
Median Absolute Deviation (MAD)3.9
Skewness0.68767151
Sum934.8
Variance47.743591
MonotonicityNot monotonic
2023-12-12T21:29:42.884107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.3 3
 
4.1%
9.3 2
 
2.7%
7.7 2
 
2.7%
7.2 2
 
2.7%
6.4 2
 
2.7%
7.4 2
 
2.7%
6.9 2
 
2.7%
5.4 2
 
2.7%
18.7 2
 
2.7%
22.5 2
 
2.7%
Other values (52) 53
71.6%
ValueCountFrequency (%)
3.7 1
 
1.4%
4.4 1
 
1.4%
4.6 1
 
1.4%
4.7 1
 
1.4%
4.9 1
 
1.4%
5.2 1
 
1.4%
5.4 2
2.7%
6.1 1
 
1.4%
6.3 3
4.1%
6.4 2
2.7%
ValueCountFrequency (%)
29.3 1
1.4%
27.6 1
1.4%
26.9 1
1.4%
24.9 1
1.4%
24.3 1
1.4%
24.1 1
1.4%
23.6 1
1.4%
23.2 1
1.4%
22.5 2
2.7%
22.2 1
1.4%

2011_3분기
Real number (ℝ)

Distinct62
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.658108
Minimum3.7
Maximum29.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-12T21:29:43.025456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.7
5-th percentile4.83
Q17.05
median10
Q318.125
95-th percentile24.64
Maximum29.2
Range25.5
Interquartile range (IQR)11.075

Descriptive statistics

Standard deviation6.8928791
Coefficient of variation (CV)0.5445426
Kurtosis-0.77844072
Mean12.658108
Median Absolute Deviation (MAD)3.9
Skewness0.67636812
Sum936.7
Variance47.511783
MonotonicityNot monotonic
2023-12-12T21:29:43.218082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.3 3
 
4.1%
5.4 2
 
2.7%
4.7 2
 
2.7%
7.2 2
 
2.7%
7.4 2
 
2.7%
6.4 2
 
2.7%
7.5 2
 
2.7%
8.0 2
 
2.7%
17.3 2
 
2.7%
18.7 2
 
2.7%
Other values (52) 53
71.6%
ValueCountFrequency (%)
3.7 1
 
1.4%
4.4 1
 
1.4%
4.7 2
2.7%
4.9 1
 
1.4%
5.3 1
 
1.4%
5.4 2
2.7%
6.1 1
 
1.4%
6.3 3
4.1%
6.4 2
2.7%
6.5 1
 
1.4%
ValueCountFrequency (%)
29.2 1
1.4%
27.6 1
1.4%
26.9 1
1.4%
24.9 1
1.4%
24.5 1
1.4%
24.0 1
1.4%
23.5 1
1.4%
22.8 1
1.4%
22.6 1
1.4%
22.5 1
1.4%

2011_4분기
Real number (ℝ)

Distinct56
Distinct (%)75.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.701351
Minimum3.7
Maximum29.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-12T21:29:43.403286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.7
5-th percentile4.83
Q17.05
median9.95
Q318.125
95-th percentile24.64
Maximum29.2
Range25.5
Interquartile range (IQR)11.075

Descriptive statistics

Standard deviation6.9666622
Coefficient of variation (CV)0.54849771
Kurtosis-0.743633
Mean12.701351
Median Absolute Deviation (MAD)3.85
Skewness0.69297078
Sum939.9
Variance48.534382
MonotonicityNot monotonic
2023-12-12T21:29:43.631611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.3 3
 
4.1%
12.2 3
 
4.1%
7.5 3
 
4.1%
20.3 2
 
2.7%
15.2 2
 
2.7%
5.4 2
 
2.7%
18.7 2
 
2.7%
6.4 2
 
2.7%
4.7 2
 
2.7%
22.6 2
 
2.7%
Other values (46) 51
68.9%
ValueCountFrequency (%)
3.7 1
 
1.4%
4.4 1
 
1.4%
4.7 2
2.7%
4.9 1
 
1.4%
5.2 1
 
1.4%
5.4 2
2.7%
6.1 1
 
1.4%
6.3 3
4.1%
6.4 2
2.7%
6.5 2
2.7%
ValueCountFrequency (%)
29.2 1
1.4%
28.1 1
1.4%
27.6 1
1.4%
24.9 1
1.4%
24.5 1
1.4%
24.3 1
1.4%
23.5 2
2.7%
22.8 1
1.4%
22.6 2
2.7%
21.1 1
1.4%

2012_1분기
Real number (ℝ)

Distinct61
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.840541
Minimum3.7
Maximum29.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-12T21:29:43.844588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.7
5-th percentile4.9
Q17.2
median10.1
Q318.175
95-th percentile25.425
Maximum29.2
Range25.5
Interquartile range (IQR)10.975

Descriptive statistics

Standard deviation6.9954568
Coefficient of variation (CV)0.54479457
Kurtosis-0.74707803
Mean12.840541
Median Absolute Deviation (MAD)4.3
Skewness0.68785438
Sum950.2
Variance48.936416
MonotonicityNot monotonic
2023-12-12T21:29:44.049953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.3 3
 
4.1%
7.3 3
 
4.1%
5.4 3
 
4.1%
6.5 2
 
2.7%
4.9 2
 
2.7%
8.1 2
 
2.7%
8.0 2
 
2.7%
7.5 2
 
2.7%
7.2 2
 
2.7%
16.1 2
 
2.7%
Other values (51) 51
68.9%
ValueCountFrequency (%)
3.7 1
 
1.4%
4.7 1
 
1.4%
4.8 1
 
1.4%
4.9 2
2.7%
5.4 3
4.1%
6.1 1
 
1.4%
6.3 3
4.1%
6.5 2
2.7%
6.6 1
 
1.4%
6.9 1
 
1.4%
ValueCountFrequency (%)
29.2 1
1.4%
28.1 1
1.4%
27.6 1
1.4%
26.4 1
1.4%
24.9 1
1.4%
24.3 1
1.4%
23.5 1
1.4%
23.3 1
1.4%
23.1 1
1.4%
22.8 1
1.4%

2012_2분기
Real number (ℝ)

Distinct60
Distinct (%)81.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.867568
Minimum3.7
Maximum29.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-12T21:29:44.258886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.7
5-th percentile4.865
Q17.2
median10.15
Q318.125
95-th percentile25.46
Maximum29.2
Range25.5
Interquartile range (IQR)10.925

Descriptive statistics

Standard deviation7.0006674
Coefficient of variation (CV)0.54405523
Kurtosis-0.76258976
Mean12.867568
Median Absolute Deviation (MAD)4.25
Skewness0.67772616
Sum952.2
Variance49.009345
MonotonicityNot monotonic
2023-12-12T21:29:44.469347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.2 3
 
4.1%
6.3 3
 
4.1%
5.4 3
 
4.1%
18.5 2
 
2.7%
17.2 2
 
2.7%
8.1 2
 
2.7%
6.6 2
 
2.7%
7.0 2
 
2.7%
8.0 2
 
2.7%
13.8 2
 
2.7%
Other values (50) 51
68.9%
ValueCountFrequency (%)
3.7 1
 
1.4%
4.7 1
 
1.4%
4.8 2
2.7%
4.9 1
 
1.4%
5.4 3
4.1%
6.2 1
 
1.4%
6.3 3
4.1%
6.4 1
 
1.4%
6.6 2
2.7%
6.9 1
 
1.4%
ValueCountFrequency (%)
29.2 1
1.4%
28.1 1
1.4%
27.6 1
1.4%
26.5 1
1.4%
24.9 1
1.4%
24.3 1
1.4%
23.5 1
1.4%
23.3 1
1.4%
23.1 1
1.4%
22.8 1
1.4%

2012_3분기
Real number (ℝ)

Distinct61
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.945946
Minimum3.7
Maximum29.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-12T21:29:44.687202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.7
5-th percentile4.865
Q17.225
median10.3
Q318.2
95-th percentile25.46
Maximum29.2
Range25.5
Interquartile range (IQR)10.975

Descriptive statistics

Standard deviation7.0342837
Coefficient of variation (CV)0.54335803
Kurtosis-0.81893536
Mean12.945946
Median Absolute Deviation (MAD)4.35
Skewness0.65299213
Sum958
Variance49.481148
MonotonicityNot monotonic
2023-12-12T21:29:44.891696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.8 3
 
4.1%
6.3 3
 
4.1%
7.3 2
 
2.7%
7.1 2
 
2.7%
7.4 2
 
2.7%
8.0 2
 
2.7%
6.6 2
 
2.7%
5.4 2
 
2.7%
10.8 2
 
2.7%
17.3 2
 
2.7%
Other values (51) 52
70.3%
ValueCountFrequency (%)
3.7 1
 
1.4%
4.8 3
4.1%
4.9 1
 
1.4%
5.3 1
 
1.4%
5.4 2
2.7%
6.2 1
 
1.4%
6.3 3
4.1%
6.4 1
 
1.4%
6.6 2
2.7%
6.8 1
 
1.4%
ValueCountFrequency (%)
29.2 1
1.4%
28.1 1
1.4%
27.6 1
1.4%
26.5 1
1.4%
24.9 1
1.4%
24.3 1
1.4%
23.5 1
1.4%
23.3 1
1.4%
23.1 1
1.4%
22.8 1
1.4%

2012_4분기
Real number (ℝ)

Distinct59
Distinct (%)79.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.925676
Minimum3.7
Maximum29.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-12T21:29:45.094460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.7
5-th percentile4.8
Q17.2
median10.3
Q318.275
95-th percentile25.525
Maximum29.2
Range25.5
Interquartile range (IQR)11.075

Descriptive statistics

Standard deviation7.0282807
Coefficient of variation (CV)0.54374571
Kurtosis-0.80619002
Mean12.925676
Median Absolute Deviation (MAD)4.3
Skewness0.65566731
Sum956.5
Variance49.396729
MonotonicityNot monotonic
2023-12-12T21:29:45.307470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.3 4
 
5.4%
4.8 4
 
5.4%
7.7 2
 
2.7%
7.3 2
 
2.7%
5.4 2
 
2.7%
8.0 2
 
2.7%
12.8 2
 
2.7%
7.0 2
 
2.7%
10.8 2
 
2.7%
7.2 2
 
2.7%
Other values (49) 50
67.6%
ValueCountFrequency (%)
3.7 1
 
1.4%
4.8 4
5.4%
5.3 1
 
1.4%
5.4 2
2.7%
6.2 1
 
1.4%
6.3 4
5.4%
6.6 2
2.7%
6.9 1
 
1.4%
7.0 2
2.7%
7.2 2
2.7%
ValueCountFrequency (%)
29.2 1
1.4%
28.1 1
1.4%
27.6 1
1.4%
26.5 1
1.4%
25.0 1
1.4%
24.3 1
1.4%
23.5 1
1.4%
23.3 1
1.4%
23.1 1
1.4%
22.8 1
1.4%

Sample

지역2005_연간2006_상반기2006_하반기2007_상반기2007_하반기2008_상반기2008_하반기2009_1분기2009_2분기2009_3분기2009_4분기2010_1분기2010_2분기2010_3분기2010_4분기2011_1분기2011_2분기2011_3분기2011_4분기2012_1분기2012_2분기2012_3분기2012_4분기
0서울17.017.017.317.717.818.518.618.718.918.919.019.219.319.820.020.020.220.220.320.520.620.720.7
1서울 도심19.319.320.520.519.920.721.121.221.621.621.621.821.923.424.024.024.124.024.324.324.324.324.3
2서울 도심 신문로24.623.023.423.523.723.823.823.924.524.524.527.627.629.529.329.229.329.229.229.229.229.229.2
3서울 도심 우정국로21.920.323.025.222.923.423.524.825.725.625.623.723.623.526.626.726.926.928.128.128.128.128.1
4서울 도심 무교20.119.420.219.319.824.524.422.223.323.322.923.323.323.623.423.423.623.523.523.523.523.523.5
5서울 도심 청계17.819.319.520.020.220.422.322.322.322.422.222.022.021.822.322.222.222.123.523.323.323.323.3
6서울 도심 서울역15.017.418.018.316.617.718.118.418.518.518.418.418.623.323.223.223.222.822.822.822.822.822.8
7서울 도심 남대문19.018.418.517.718.518.920.320.320.420.520.721.621.621.120.920.921.021.121.121.020.921.021.0
8서울 도심 명동16.518.519.616.415.916.216.316.516.416.516.416.516.517.517.617.617.617.317.217.817.117.317.4
9서울 도심 기타10.311.612.011.511.411.910.510.510.510.310.410.210.214.514.014.014.614.814.714.714.714.714.7
지역2005_연간2006_상반기2006_하반기2007_상반기2007_하반기2008_상반기2008_하반기2009_1분기2009_2분기2009_3분기2009_4분기2010_1분기2010_2분기2010_3분기2010_4분기2011_1분기2011_2분기2011_3분기2011_4분기2012_1분기2012_2분기2012_3분기2012_4분기
64대전 기타3.94.14.33.73.73.63.83.63.63.83.63.63.73.73.83.83.73.73.73.73.73.73.7
65대전4.34.94.95.05.05.35.45.45.35.35.35.45.46.16.16.26.16.16.16.16.26.26.2
66대전 삼산4.65.25.25.35.45.86.06.06.06.06.06.06.06.56.56.76.56.56.56.56.66.66.6
67대전 학성3.74.44.24.54.34.54.44.44.24.24.44.64.74.74.74.74.74.74.74.94.94.94.8
68성남<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>12.812.912.812.812.812.813.713.813.913.9
69성남 서현수내야탑<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>13.813.813.813.713.713.714.915.015.015.1
70성남 기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>9.39.49.39.39.39.39.39.29.39.3
71수원<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>7.47.37.27.27.27.37.27.27.37.2
72수원 인계동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>7.17.17.27.27.27.27.27.27.27.2
73수원 기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>8.48.37.67.67.47.57.37.27.47.3