Overview

Dataset statistics

Number of variables31
Number of observations50
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.6 KiB
Average record size in memory277.6 B

Variable types

Numeric24
Text4
Categorical3

Dataset

DescriptionSample
Author아파트엔
URLhttps://bigdata-geo.kr/user/dataset/view.do?data_sn=50

Alerts

strd_year has constant value ""Constant
shientr_rate_phsentr_rate_idx has constant value ""Constant
nxtelschlapt_yn is highly imbalanced (75.8%)Imbalance
uid has unique valuesUnique
apt_cd has unique valuesUnique
rdnmadr has unique valuesUnique
aca_info_1kmblw has unique valuesUnique
lo has unique valuesUnique
la has unique valuesUnique
aca_cnt_250mblw has 9 (18.0%) zerosZeros
aca_cnt_250movr_500mblw has 2 (4.0%) zerosZeros

Reproduction

Analysis started2023-12-10 13:17:23.834350
Analysis finished2023-12-10 13:17:24.519739
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

uid
Real number (ℝ)

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7822.62
Minimum7796
Maximum7848
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:17:24.640801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7796
5-th percentile7798.45
Q17808.5
median7823.5
Q37835.75
95-th percentile7845.55
Maximum7848
Range52
Interquartile range (IQR)27.25

Descriptive statistics

Standard deviation15.681641
Coefficient of variation (CV)0.0020046534
Kurtosis-1.2103411
Mean7822.62
Median Absolute Deviation (MAD)13.5
Skewness-0.1031715
Sum391131
Variance245.91388
MonotonicityNot monotonic
2023-12-10T22:17:24.926764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7815 1
 
2.0%
7837 1
 
2.0%
7826 1
 
2.0%
7827 1
 
2.0%
7828 1
 
2.0%
7829 1
 
2.0%
7830 1
 
2.0%
7831 1
 
2.0%
7832 1
 
2.0%
7834 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
7796 1
2.0%
7797 1
2.0%
7798 1
2.0%
7799 1
2.0%
7800 1
2.0%
7801 1
2.0%
7802 1
2.0%
7803 1
2.0%
7804 1
2.0%
7805 1
2.0%
ValueCountFrequency (%)
7848 1
2.0%
7847 1
2.0%
7846 1
2.0%
7845 1
2.0%
7844 1
2.0%
7843 1
2.0%
7842 1
2.0%
7841 1
2.0%
7840 1
2.0%
7839 1
2.0%

apt_cd
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-10T22:17:25.268034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters1250
Distinct characters13
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

Unique50 ?
Unique (%)100.0%

Sample

1st rowAPT1168021220020325000001
2nd rowAPT1168021220020330000701
3rd rowAPT1168030050860332000001
4th rowAPT1168010500100002000001
5th rowAPT1168010500100646000001
ValueCountFrequency (%)
apt1168021220020325000001 1
 
2.0%
apt1168030050860426000001 1
 
2.0%
apt1168031210220565000001 1
 
2.0%
apt1168030050860117000001 1
 
2.0%
apt1168030050860118000001 1
 
2.0%
apt1168030050860122000001 1
 
2.0%
apt1168030050860123000001 1
 
2.0%
apt1168030050860203000001 1
 
2.0%
apt1168030050860316000001 1
 
2.0%
apt1168030050860320000001 1
 
2.0%
Other values (40) 40
80.0%
2023-12-10T22:17:25.898216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 512
41.0%
1 210
16.8%
2 93
 
7.4%
6 92
 
7.4%
8 79
 
6.3%
A 50
 
4.0%
P 50
 
4.0%
T 50
 
4.0%
3 50
 
4.0%
5 42
 
3.4%
Other values (3) 22
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1100
88.0%
Uppercase Letter 150
 
12.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 512
46.5%
1 210
19.1%
2 93
 
8.5%
6 92
 
8.4%
8 79
 
7.2%
3 50
 
4.5%
5 42
 
3.8%
4 12
 
1.1%
7 8
 
0.7%
9 2
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
A 50
33.3%
P 50
33.3%
T 50
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 1100
88.0%
Latin 150
 
12.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 512
46.5%
1 210
19.1%
2 93
 
8.5%
6 92
 
8.4%
8 79
 
7.2%
3 50
 
4.5%
5 42
 
3.8%
4 12
 
1.1%
7 8
 
0.7%
9 2
 
0.2%
Latin
ValueCountFrequency (%)
A 50
33.3%
P 50
33.3%
T 50
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1250
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 512
41.0%
1 210
16.8%
2 93
 
7.4%
6 92
 
7.4%
8 79
 
6.3%
A 50
 
4.0%
P 50
 
4.0%
T 50
 
4.0%
3 50
 
4.0%
5 42
 
3.4%
Other values (3) 22
 
1.8%

apt_nm
Text

Distinct49
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-10T22:17:26.334164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length14
Mean length6.96
Min length2

Characters and Unicode

Total characters348
Distinct characters125
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)96.0%

Sample

1st rowS-TOWER
2nd row풍림아이원4차(1007-2)
3rd row역삼푸르지오
4th row브르넨삼성
5th row위레벤646
ValueCountFrequency (%)
대우디오빌 2
 
3.5%
아이파크 2
 
3.5%
현대휴먼터치빌 1
 
1.8%
우성캐릭터199 1
 
1.8%
우성캐릭터빌 1
 
1.8%
한신(개포 1
 
1.8%
매봉삼성 1
 
1.8%
대림역삼 1
 
1.8%
상지리츠빌(1호라인 1
 
1.8%
상지리츠빌(2호라인 1
 
1.8%
Other values (45) 45
78.9%
2023-12-10T22:17:26.973129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 11
 
3.2%
대 10
 
2.9%
현 10
 
2.9%
1 10
 
2.9%
0 9
 
2.6%
) 8
 
2.3%
삼 8
 
2.3%
( 8
 
2.3%
빌 8
 
2.3%
이 7
 
2.0%
Other values (115) 259
74.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 254
73.0%
Decimal Number 49
 
14.1%
Uppercase Letter 19
 
5.5%
Close Punctuation 8
 
2.3%
Open Punctuation 8
 
2.3%
Space Separator 7
 
2.0%
Dash Punctuation 2
 
0.6%
Math Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 10
 
3.9%
현 10
 
3.9%
삼 8
 
3.1%
빌 8
 
3.1%
이 7
 
2.8%
리 7
 
2.8%
성 7
 
2.8%
포 6
 
2.4%
개 6
 
2.4%
동 6
 
2.4%
Other values (90) 179
70.5%
Uppercase Letter
ValueCountFrequency (%)
S 3
15.8%
I 3
15.8%
L 2
10.5%
R 2
10.5%
N 2
10.5%
K 2
10.5%
H 1
 
5.3%
E 1
 
5.3%
W 1
 
5.3%
T 1
 
5.3%
Decimal Number
ValueCountFrequency (%)
2 11
22.4%
1 10
20.4%
0 9
18.4%
6 7
14.3%
4 4
 
8.2%
9 3
 
6.1%
7 2
 
4.1%
8 2
 
4.1%
3 1
 
2.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 254
73.0%
Common 75
 
21.6%
Latin 19
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 10
 
3.9%
현 10
 
3.9%
삼 8
 
3.1%
빌 8
 
3.1%
이 7
 
2.8%
리 7
 
2.8%
성 7
 
2.8%
포 6
 
2.4%
개 6
 
2.4%
동 6
 
2.4%
Other values (90) 179
70.5%
Common
ValueCountFrequency (%)
2 11
14.7%
1 10
13.3%
0 9
12.0%
) 8
10.7%
( 8
10.7%
7
9.3%
6 7
9.3%
4 4
 
5.3%
9 3
 
4.0%
7 2
 
2.7%
Other values (4) 6
8.0%
Latin
ValueCountFrequency (%)
S 3
15.8%
I 3
15.8%
L 2
10.5%
R 2
10.5%
N 2
10.5%
K 2
10.5%
H 1
 
5.3%
E 1
 
5.3%
W 1
 
5.3%
T 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 254
73.0%
ASCII 94
 
27.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 11
11.7%
1 10
10.6%
0 9
 
9.6%
) 8
 
8.5%
( 8
 
8.5%
7
 
7.4%
6 7
 
7.4%
4 4
 
4.3%
S 3
 
3.2%
9 3
 
3.2%
Other values (15) 24
25.5%
Hangul
ValueCountFrequency (%)
대 10
 
3.9%
현 10
 
3.9%
삼 8
 
3.1%
빌 8
 
3.1%
이 7
 
2.8%
리 7
 
2.8%
성 7
 
2.8%
포 6
 
2.4%
개 6
 
2.4%
동 6
 
2.4%
Other values (90) 179
70.5%

rdnmadr
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-10T22:17:27.326816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length17.56
Min length15

Characters and Unicode

Total characters878
Distinct characters40
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

Unique50 ?
Unique (%)100.0%

Sample

1st row서울특별시 강남구 영동대로 325
2nd row서울특별시 강남구 영동대로 330-7
3rd row서울특별시 강남구 언주로 332
4th row서울특별시 강남구 영동대로122길 2
5th row서울특별시 강남구 영동대로 646
ValueCountFrequency (%)
서울특별시 50
25.0%
강남구 50
25.0%
언주로 24
12.0%
영동대로 7
 
3.5%
논현로 6
 
3.0%
강남대로 4
 
2.0%
남부순환로 3
 
1.5%
도산대로 2
 
1.0%
205 1
 
0.5%
209 1
 
0.5%
Other values (52) 52
26.0%
2023-12-10T22:17:27.874836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
150
17.1%
남 57
 
6.5%
강 54
 
6.2%
서 50
 
5.7%
로 50
 
5.7%
특 50
 
5.7%
별 50
 
5.7%
시 50
 
5.7%
구 50
 
5.7%
울 50
 
5.7%
Other values (30) 267
30.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 574
65.4%
Decimal Number 153
 
17.4%
Space Separator 150
 
17.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 57
9.9%
강 54
9.4%
서 50
8.7%
로 50
8.7%
특 50
8.7%
별 50
8.7%
시 50
8.7%
구 50
8.7%
울 50
8.7%
주 24
 
4.2%
Other values (18) 89
15.5%
Decimal Number
ValueCountFrequency (%)
2 35
22.9%
1 23
15.0%
0 20
13.1%
6 17
11.1%
3 16
10.5%
5 16
10.5%
4 12
 
7.8%
7 8
 
5.2%
8 4
 
2.6%
9 2
 
1.3%
Space Separator
ValueCountFrequency (%)
150
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 574
65.4%
Common 304
34.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 57
9.9%
강 54
9.4%
서 50
8.7%
로 50
8.7%
특 50
8.7%
별 50
8.7%
시 50
8.7%
구 50
8.7%
울 50
8.7%
주 24
 
4.2%
Other values (18) 89
15.5%
Common
ValueCountFrequency (%)
150
49.3%
2 35
 
11.5%
1 23
 
7.6%
0 20
 
6.6%
6 17
 
5.6%
3 16
 
5.3%
5 16
 
5.3%
4 12
 
3.9%
7 8
 
2.6%
8 4
 
1.3%
Other values (2) 3
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 574
65.4%
ASCII 304
34.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
150
49.3%
2 35
 
11.5%
1 23
 
7.6%
0 20
 
6.6%
6 17
 
5.6%
3 16
 
5.3%
5 16
 
5.3%
4 12
 
3.9%
7 8
 
2.6%
8 4
 
1.3%
Other values (2) 3
 
1.0%
Hangul
ValueCountFrequency (%)
남 57
9.9%
강 54
9.4%
서 50
8.7%
로 50
8.7%
특 50
8.7%
별 50
8.7%
시 50
8.7%
구 50
8.7%
울 50
8.7%
주 24
 
4.2%
Other values (18) 89
15.5%

legaldong_cd
Real number (ℝ)

Distinct10
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1680109 × 109
Minimum1.1680101 × 109
Maximum1.1680118 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:17:28.067716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1680101 × 109
5-th percentile1.1680101 × 109
Q11.1680103 × 109
median1.1680106 × 109
Q31.1680118 × 109
95-th percentile1.1680118 × 109
Maximum1.1680118 × 109
Range1700
Interquartile range (IQR)1500

Descriptive statistics

Standard deviation689.0514
Coefficient of variation (CV)5.8993579 × 10-7
Kurtosis-1.5014263
Mean1.1680109 × 109
Median Absolute Deviation (MAD)500
Skewness0.44573882
Sum5.8400543 × 1010
Variance474791.84
MonotonicityNot monotonic
2023-12-10T22:17:28.247469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1168011800 15
30.0%
1168010100 11
22.0%
1168010300 7
14.0%
1168010800 6
 
12.0%
1168010500 4
 
8.0%
1168010600 3
 
6.0%
1168011300 1
 
2.0%
1168010700 1
 
2.0%
1168010400 1
 
2.0%
1168011400 1
 
2.0%
ValueCountFrequency (%)
1168010100 11
22.0%
1168010300 7
14.0%
1168010400 1
 
2.0%
1168010500 4
 
8.0%
1168010600 3
 
6.0%
1168010700 1
 
2.0%
1168010800 6
 
12.0%
1168011300 1
 
2.0%
1168011400 1
 
2.0%
1168011800 15
30.0%
ValueCountFrequency (%)
1168011800 15
30.0%
1168011400 1
 
2.0%
1168011300 1
 
2.0%
1168010800 6
 
12.0%
1168010700 1
 
2.0%
1168010600 3
 
6.0%
1168010500 4
 
8.0%
1168010400 1
 
2.0%
1168010300 7
14.0%
1168010100 11
22.0%

strd_year
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2022
50 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 50
100.0%

Length

2023-12-10T22:17:28.478497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:17:28.647418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 50
100.0%

nxtelschlapt_yn
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
0
48 
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 48
96.0%
1 2
 
4.0%

Length

2023-12-10T22:17:28.802689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:17:28.944600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 48
96.0%
1 2
 
4.0%

shientr_cnt
Real number (ℝ)

Distinct15
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.28
Minimum31
Maximum108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:17:29.094404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile54.2
Q173
median78
Q382
95-th percentile108
Maximum108
Range77
Interquartile range (IQR)9

Descriptive statistics

Standard deviation16.938111
Coefficient of variation (CV)0.21364923
Kurtosis1.3044916
Mean79.28
Median Absolute Deviation (MAD)5
Skewness-0.32069226
Sum3964
Variance286.89959
MonotonicityNot monotonic
2023-12-10T22:17:29.316251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
108 7
14.0%
78 7
14.0%
69 6
12.0%
79 6
12.0%
75 4
8.0%
73 4
8.0%
82 4
8.0%
96 3
6.0%
63 2
 
4.0%
93 2
 
4.0%
Other values (5) 5
10.0%
ValueCountFrequency (%)
31 1
 
2.0%
34 1
 
2.0%
47 1
 
2.0%
63 2
 
4.0%
65 1
 
2.0%
69 6
12.0%
73 4
8.0%
75 4
8.0%
77 1
 
2.0%
78 7
14.0%
ValueCountFrequency (%)
108 7
14.0%
96 3
6.0%
93 2
 
4.0%
82 4
8.0%
79 6
12.0%
78 7
14.0%
77 1
 
2.0%
75 4
8.0%
73 4
8.0%
69 6
12.0%

phsentr_cnt
Real number (ℝ)

Distinct16
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean258.96
Minimum172
Maximum612
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:17:29.543242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum172
5-th percentile173
Q1181
median216
Q3288
95-th percentile501.55
Maximum612
Range440
Interquartile range (IQR)107

Descriptive statistics

Standard deviation107.92098
Coefficient of variation (CV)0.41674767
Kurtosis4.0948464
Mean258.96
Median Absolute Deviation (MAD)43
Skewness1.9814944
Sum12948
Variance11646.937
MonotonicityNot monotonic
2023-12-10T22:17:29.727963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
272 7
14.0%
173 7
14.0%
209 6
12.0%
181 6
12.0%
216 4
8.0%
307 4
8.0%
364 4
8.0%
612 2
 
4.0%
288 2
 
4.0%
172 2
 
4.0%
Other values (6) 6
12.0%
ValueCountFrequency (%)
172 2
 
4.0%
173 7
14.0%
176 1
 
2.0%
181 6
12.0%
189 1
 
2.0%
190 1
 
2.0%
209 6
12.0%
216 4
8.0%
259 1
 
2.0%
272 7
14.0%
ValueCountFrequency (%)
612 2
 
4.0%
574 1
 
2.0%
413 1
 
2.0%
364 4
8.0%
307 4
8.0%
288 2
 
4.0%
272 7
14.0%
259 1
 
2.0%
216 4
8.0%
209 6
12.0%

shientr_rate
Real number (ℝ)

Distinct16
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.2246
Minimum10.17
Maximum30.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:17:29.904118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10.17
5-th percentile12.13
Q113.51
median16.625
Q319.65
95-th percentile29.2845
Maximum30.15
Range19.98
Interquartile range (IQR)6.14

Descriptive statistics

Standard deviation5.0466514
Coefficient of variation (CV)0.29299092
Kurtosis0.8508083
Mean17.2246
Median Absolute Deviation (MAD)3.115
Skewness1.121147
Sum861.23
Variance25.468691
MonotonicityNot monotonic
2023-12-10T22:17:30.096852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
13.51 7
14.0%
12.13 7
14.0%
18.45 6
12.0%
14.87 6
12.0%
17.77 4
8.0%
23.07 4
8.0%
20.05 4
8.0%
30.15 2
 
4.0%
16.78 2
 
4.0%
12.57 2
 
4.0%
Other values (6) 6
12.0%
ValueCountFrequency (%)
10.17 1
 
2.0%
12.13 7
14.0%
12.57 2
 
4.0%
12.58 1
 
2.0%
13.51 7
14.0%
14.87 6
12.0%
16.47 1
 
2.0%
16.78 2
 
4.0%
17.77 4
8.0%
18.45 6
12.0%
ValueCountFrequency (%)
30.15 2
 
4.0%
30.09 1
 
2.0%
28.3 1
 
2.0%
23.07 4
8.0%
21.66 1
 
2.0%
20.05 4
8.0%
18.45 6
12.0%
17.77 4
8.0%
16.78 2
 
4.0%
16.47 1
 
2.0%

phsentr_rate
Real number (ℝ)

Distinct15
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.1948
Minimum8.16
Maximum27.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:17:30.301860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.16
5-th percentile8.36
Q19.67
median12.14
Q315.625
95-th percentile25.4475
Maximum27.33
Range19.17
Interquartile range (IQR)5.955

Descriptive statistics

Standard deviation5.1348641
Coefficient of variation (CV)0.38915816
Kurtosis1.4051069
Mean13.1948
Median Absolute Deviation (MAD)2.47
Skewness1.3784287
Sum659.74
Variance26.36683
MonotonicityNot monotonic
2023-12-10T22:17:30.474755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
8.36 8
16.0%
9.67 7
14.0%
10.77 6
12.0%
13.39 6
12.0%
13.19 4
8.0%
18.64 4
8.0%
16.37 4
8.0%
27.33 2
 
4.0%
8.16 2
 
4.0%
12.58 2
 
4.0%
Other values (5) 5
10.0%
ValueCountFrequency (%)
8.16 2
 
4.0%
8.36 8
16.0%
8.53 1
 
2.0%
9.67 7
14.0%
10.77 6
12.0%
11.7 1
 
2.0%
12.58 2
 
4.0%
13.19 4
8.0%
13.39 6
12.0%
16.37 4
8.0%
ValueCountFrequency (%)
27.33 2
 
4.0%
25.47 1
 
2.0%
25.42 1
 
2.0%
20.15 1
 
2.0%
18.64 4
8.0%
16.37 4
8.0%
13.39 6
12.0%
13.19 4
8.0%
12.58 2
 
4.0%
11.7 1
 
2.0%

shientr_rate_phsentr_rate_idx
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
10
50 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10
2nd row10
3rd row10
4th row10
5th row10

Common Values

ValueCountFrequency (%)
10 50
100.0%

Length

2023-12-10T22:17:30.675371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:17:30.898773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10 50
100.0%

signgu_shientr_cnt_rank
Real number (ℝ)

Distinct15
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean235.58
Minimum11
Maximum691
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:17:31.022333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile11
Q1104
median185
Q3357
95-th percentile571.8
Maximum691
Range680
Interquartile range (IQR)253

Descriptive statistics

Standard deviation190.97025
Coefficient of variation (CV)0.81063864
Kurtosis-0.4598696
Mean235.58
Median Absolute Deviation (MAD)118
Skewness0.76386557
Sum11779
Variance36469.636
MonotonicityNot monotonic
2023-12-10T22:17:31.200135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
11 7
14.0%
185 7
14.0%
457 6
12.0%
123 6
12.0%
251 4
8.0%
357 4
8.0%
104 4
8.0%
67 3
6.0%
519 2
 
4.0%
75 2
 
4.0%
Other values (5) 5
10.0%
ValueCountFrequency (%)
11 7
14.0%
67 3
6.0%
75 2
 
4.0%
104 4
8.0%
123 6
12.0%
185 7
14.0%
200 1
 
2.0%
251 4
8.0%
357 4
8.0%
457 6
12.0%
ValueCountFrequency (%)
691 1
 
2.0%
671 1
 
2.0%
615 1
 
2.0%
519 2
 
4.0%
513 1
 
2.0%
457 6
12.0%
357 4
8.0%
251 4
8.0%
200 1
 
2.0%
185 7
14.0%

signgu_phsentr_cnt_rank
Real number (ℝ)

Distinct16
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean384.98
Minimum8
Maximum696
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:17:31.390660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile39.25
Q1206
median363
Q3619
95-th percentile681
Maximum696
Range688
Interquartile range (IQR)413

Descriptive statistics

Standard deviation236.5273
Coefficient of variation (CV)0.61438854
Kurtosis-1.5380517
Mean384.98
Median Absolute Deviation (MAD)233
Skewness-0.071827792
Sum19249
Variance55945.163
MonotonicityNot monotonic
2023-12-10T22:17:31.591417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
226 7
14.0%
681 7
14.0%
480 6
12.0%
619 6
12.0%
363 4
8.0%
130 4
8.0%
85 4
8.0%
8 2
 
4.0%
206 2
 
4.0%
696 2
 
4.0%
Other values (6) 6
12.0%
ValueCountFrequency (%)
8 2
 
4.0%
28 1
 
2.0%
53 1
 
2.0%
85 4
8.0%
130 4
8.0%
206 2
 
4.0%
226 7
14.0%
269 1
 
2.0%
363 4
8.0%
480 6
12.0%
ValueCountFrequency (%)
696 2
 
4.0%
681 7
14.0%
661 1
 
2.0%
619 6
12.0%
582 1
 
2.0%
581 1
 
2.0%
480 6
12.0%
363 4
8.0%
269 1
 
2.0%
226 7
14.0%

signgu_shientr_rate_rank
Real number (ℝ)

Distinct16
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean395.1
Minimum74
Maximum691
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:17:31.879586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74
5-th percentile74
Q1312
median394
Q3540
95-th percentile631
Maximum691
Range617
Interquartile range (IQR)228

Descriptive statistics

Standard deviation178.33049
Coefficient of variation (CV)0.45135534
Kurtosis-0.77380732
Mean395.1
Median Absolute Deviation (MAD)146
Skewness-0.4993822
Sum19755
Variance31801.765
MonotonicityNot monotonic
2023-12-10T22:17:32.509716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
490 7
14.0%
540 7
14.0%
74 6
12.0%
394 6
12.0%
206 4
8.0%
312 4
8.0%
555 4
8.0%
631 2
 
4.0%
390 2
 
4.0%
374 2
 
4.0%
Other values (6) 6
12.0%
ValueCountFrequency (%)
74 6
12.0%
123 1
 
2.0%
159 1
 
2.0%
206 4
8.0%
312 4
8.0%
374 2
 
4.0%
389 1
 
2.0%
390 2
 
4.0%
394 6
12.0%
490 7
14.0%
ValueCountFrequency (%)
691 1
 
2.0%
665 1
 
2.0%
631 2
 
4.0%
628 1
 
2.0%
555 4
8.0%
540 7
14.0%
490 7
14.0%
394 6
12.0%
390 2
 
4.0%
389 1
 
2.0%

signgu_phsentr_rate_rank
Real number (ℝ)

Distinct16
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean434.94
Minimum17
Maximum696
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:17:32.751358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile59.15
Q1263.5
median479.5
Q3617
95-th percentile688.25
Maximum696
Range679
Interquartile range (IQR)353.5

Descriptive statistics

Standard deviation215.44007
Coefficient of variation (CV)0.49533286
Kurtosis-1.2533353
Mean434.94
Median Absolute Deviation (MAD)193.5
Skewness-0.3380059
Sum21747
Variance46414.425
MonotonicityNot monotonic
2023-12-10T22:17:32.942706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
617 7
14.0%
680 7
14.0%
286 6
12.0%
565 6
12.0%
333 4
8.0%
186 4
8.0%
256 4
8.0%
17 2
 
4.0%
446 2
 
4.0%
696 2
 
4.0%
Other values (6) 6
12.0%
ValueCountFrequency (%)
17 2
 
4.0%
38 1
 
2.0%
85 1
 
2.0%
153 1
 
2.0%
186 4
8.0%
256 4
8.0%
286 6
12.0%
333 4
8.0%
446 2
 
4.0%
513 1
 
2.0%
ValueCountFrequency (%)
696 2
 
4.0%
695 1
 
2.0%
680 7
14.0%
660 1
 
2.0%
617 7
14.0%
565 6
12.0%
513 1
 
2.0%
446 2
 
4.0%
333 4
8.0%
286 6
12.0%

ctpr_shientr_cnt_rank
Real number (ℝ)

Distinct15
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1096.3
Minimum266
Maximum4502
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:17:33.135512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum266
5-th percentile266
Q1754
median982
Q31294
95-th percentile2195
Maximum4502
Range4236
Interquartile range (IQR)540

Descriptive statistics

Standard deviation809.85835
Coefficient of variation (CV)0.73871964
Kurtosis8.3779393
Mean1096.3
Median Absolute Deviation (MAD)312
Skewness2.4988948
Sum54815
Variance655870.54
MonotonicityNot monotonic
2023-12-10T22:17:33.300230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
266 7
14.0%
982 7
14.0%
1444 6
12.0%
920 6
12.0%
1169 4
8.0%
1294 4
8.0%
754 4
8.0%
364 3
6.0%
1590 2
 
4.0%
450 2
 
4.0%
Other values (5) 5
10.0%
ValueCountFrequency (%)
266 7
14.0%
364 3
6.0%
450 2
 
4.0%
754 4
8.0%
920 6
12.0%
982 7
14.0%
1099 1
 
2.0%
1169 4
8.0%
1294 4
8.0%
1444 6
12.0%
ValueCountFrequency (%)
4502 1
 
2.0%
3988 1
 
2.0%
2690 1
 
2.0%
1590 2
 
4.0%
1576 1
 
2.0%
1444 6
12.0%
1294 4
8.0%
1169 4
8.0%
1099 1
 
2.0%
982 7
14.0%

ctpr_phsentr_cnt_rank
Real number (ℝ)

Distinct16
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1770.24
Minimum246
Maximum2802
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:17:33.495471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum246
5-th percentile403.3
Q11251
median1821
Q32447
95-th percentile2787
Maximum2802
Range2556
Interquartile range (IQR)1196

Descriptive statistics

Standard deviation778.63026
Coefficient of variation (CV)0.43984446
Kurtosis-0.97885492
Mean1770.24
Median Absolute Deviation (MAD)626
Skewness-0.263829
Sum88512
Variance606265.08
MonotonicityNot monotonic
2023-12-10T22:17:33.664546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1400 7
14.0%
2787 7
14.0%
1970 6
12.0%
2447 6
12.0%
1821 4
8.0%
1054 4
8.0%
766 4
8.0%
246 2
 
4.0%
1251 2
 
4.0%
2802 2
 
4.0%
Other values (6) 6
12.0%
ValueCountFrequency (%)
246 2
 
4.0%
271 1
 
2.0%
565 1
 
2.0%
766 4
8.0%
1054 4
8.0%
1251 2
 
4.0%
1400 7
14.0%
1503 1
 
2.0%
1821 4
8.0%
1970 6
12.0%
ValueCountFrequency (%)
2802 2
 
4.0%
2787 7
14.0%
2716 1
 
2.0%
2447 6
12.0%
2263 1
 
2.0%
2221 1
 
2.0%
1970 6
12.0%
1821 4
8.0%
1503 1
 
2.0%
1400 7
14.0%

ctpr_shientr_rate_rank
Real number (ℝ)

Distinct16
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1250.6
Minimum372
Maximum5694
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:17:33.897638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum372
5-th percentile372
Q1775
median1003
Q31399
95-th percentile2679
Maximum5694
Range5322
Interquartile range (IQR)624

Descriptive statistics

Standard deviation1023.397
Coefficient of variation (CV)0.81832479
Kurtosis10.80434
Mean1250.6
Median Absolute Deviation (MAD)396
Skewness3.0453968
Sum62530
Variance1047341.4
MonotonicityNot monotonic
2023-12-10T22:17:34.217483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1276 7
14.0%
1399 7
14.0%
372 6
12.0%
1003 6
12.0%
591 4
8.0%
775 4
8.0%
1448 4
8.0%
2679 2
 
4.0%
922 2
 
4.0%
842 2
 
4.0%
Other values (6) 6
12.0%
ValueCountFrequency (%)
372 6
12.0%
465 1
 
2.0%
543 1
 
2.0%
591 4
8.0%
775 4
8.0%
842 2
 
4.0%
913 1
 
2.0%
922 2
 
4.0%
1003 6
12.0%
1276 7
14.0%
ValueCountFrequency (%)
5694 1
 
2.0%
5264 1
 
2.0%
2679 2
 
4.0%
2534 1
 
2.0%
1448 4
8.0%
1399 7
14.0%
1276 7
14.0%
1003 6
12.0%
922 2
 
4.0%
913 1
 
2.0%

ctpr_phsentr_rate_rank
Real number (ℝ)

Distinct16
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2344.48
Minimum240
Maximum3818
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:17:34.384021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240
5-th percentile290.15
Q11315.5
median2377.5
Q33356
95-th percentile3797.25
Maximum3818
Range3578
Interquartile range (IQR)2040.5

Descriptive statistics

Standard deviation1192.4159
Coefficient of variation (CV)0.5086057
Kurtosis-1.2792807
Mean2344.48
Median Absolute Deviation (MAD)978.5
Skewness-0.26960599
Sum117224
Variance1421855.7
MonotonicityNot monotonic
2023-12-10T22:17:34.676349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3356 7
14.0%
3789 7
14.0%
1731 6
12.0%
2895 6
12.0%
1910 4
8.0%
833 4
8.0%
1177 4
8.0%
240 2
 
4.0%
2193 2
 
4.0%
3818 2
 
4.0%
Other values (6) 6
12.0%
ValueCountFrequency (%)
240 2
 
4.0%
269 1
 
2.0%
316 1
 
2.0%
649 1
 
2.0%
833 4
8.0%
1177 4
8.0%
1731 6
12.0%
1910 4
8.0%
2193 2
 
4.0%
2562 1
 
2.0%
ValueCountFrequency (%)
3818 2
 
4.0%
3804 1
 
2.0%
3789 7
14.0%
3671 1
 
2.0%
3356 7
14.0%
2895 6
12.0%
2562 1
 
2.0%
2193 2
 
4.0%
1910 4
8.0%
1731 6
12.0%

ntwd_shientr_cnt_rank
Real number (ℝ)

Distinct15
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3764.48
Minimum1184
Maximum15537
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:17:34.841154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1184
5-th percentile1184
Q12812
median3355
Q34128
95-th percentile7561.85
Maximum15537
Range14353
Interquartile range (IQR)1316

Descriptive statistics

Standard deviation2733.4582
Coefficient of variation (CV)0.72611841
Kurtosis10.129843
Mean3764.48
Median Absolute Deviation (MAD)773
Skewness2.8793361
Sum188224
Variance7471793.9
MonotonicityNot monotonic
2023-12-10T22:17:35.036835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1184 7
14.0%
3355 7
14.0%
4668 6
12.0%
3247 6
12.0%
3657 4
8.0%
4128 4
8.0%
2812 4
8.0%
1563 3
6.0%
5391 2
 
4.0%
1723 2
 
4.0%
Other values (5) 5
10.0%
ValueCountFrequency (%)
1184 7
14.0%
1563 3
6.0%
1723 2
 
4.0%
2812 4
8.0%
3247 6
12.0%
3355 7
14.0%
3493 1
 
2.0%
3657 4
8.0%
4128 4
8.0%
4668 6
12.0%
ValueCountFrequency (%)
15537 1
 
2.0%
14149 1
 
2.0%
9338 1
 
2.0%
5391 2
 
4.0%
5139 1
 
2.0%
4668 6
12.0%
4128 4
8.0%
3657 4
8.0%
3493 1
 
2.0%
3355 7
14.0%

ntwd_phsentr_cnt_rank
Real number (ℝ)

Distinct16
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1920.32
Minimum246
Maximum3036
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:17:35.251190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum246
5-th percentile413.65
Q11363
median1997
Q32681
95-th percentile3021
Maximum3036
Range2790
Interquartile range (IQR)1318

Descriptive statistics

Standard deviation857.71399
Coefficient of variation (CV)0.44665159
Kurtosis-0.99971413
Mean1920.32
Median Absolute Deviation (MAD)684
Skewness-0.28978658
Sum96016
Variance735673.28
MonotonicityNot monotonic
2023-12-10T22:17:35.450619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1512 7
14.0%
3021 7
14.0%
2147 6
12.0%
2681 6
12.0%
1997 4
8.0%
1122 4
8.0%
793 4
8.0%
246 2
 
4.0%
1363 2
 
4.0%
3036 2
 
4.0%
Other values (6) 6
12.0%
ValueCountFrequency (%)
246 2
 
4.0%
271 1
 
2.0%
588 1
 
2.0%
793 4
8.0%
1122 4
8.0%
1363 2
 
4.0%
1512 7
14.0%
1629 1
 
2.0%
1997 4
8.0%
2147 6
12.0%
ValueCountFrequency (%)
3036 2
 
4.0%
3021 7
14.0%
2950 1
 
2.0%
2681 6
12.0%
2492 1
 
2.0%
2449 1
 
2.0%
2147 6
12.0%
1997 4
8.0%
1629 1
 
2.0%
1512 7
14.0%

ntwd_shientr_rate_rank
Real number (ℝ)

Distinct16
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4693.74
Minimum1739
Maximum22582
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:17:35.741719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1739
5-th percentile1739
Q13130
median3790
Q34894
95-th percentile9028
Maximum22582
Range20843
Interquartile range (IQR)1764

Descriptive statistics

Standard deviation3846.4182
Coefficient of variation (CV)0.81947833
Kurtosis14.11195
Mean4693.74
Median Absolute Deviation (MAD)1104
Skewness3.5651076
Sum234687
Variance14794933
MonotonicityNot monotonic
2023-12-10T22:17:35.968790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
4592 7
14.0%
4894 7
14.0%
1739 6
12.0%
3790 6
12.0%
2537 4
8.0%
3130 4
8.0%
5214 4
8.0%
9028 2
 
4.0%
3603 2
 
4.0%
3203 2
 
4.0%
Other values (6) 6
12.0%
ValueCountFrequency (%)
1739 6
12.0%
2244 1
 
2.0%
2468 1
 
2.0%
2537 4
8.0%
3130 4
8.0%
3203 2
 
4.0%
3585 1
 
2.0%
3603 2
 
4.0%
3790 6
12.0%
4592 7
14.0%
ValueCountFrequency (%)
22582 1
 
2.0%
20358 1
 
2.0%
9028 2
 
4.0%
8682 1
 
2.0%
5214 4
8.0%
4894 7
14.0%
4592 7
14.0%
3790 6
12.0%
3603 2
 
4.0%
3585 1
 
2.0%

ntwd_phsentr_rate_rank
Real number (ℝ)

Distinct16
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2500.92
Minimum275
Maximum4214
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:17:36.211888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum275
5-th percentile327.15
Q11387
median2472
Q33554
95-th percentile4128.25
Maximum4214
Range3939
Interquartile range (IQR)2167

Descriptive statistics

Standard deviation1292.8782
Coefficient of variation (CV)0.51696102
Kurtosis-1.3070652
Mean2500.92
Median Absolute Deviation (MAD)1082
Skewness-0.18653643
Sum125046
Variance1671533.9
MonotonicityNot monotonic
2023-12-10T22:17:36.421577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3554 7
14.0%
4120 7
14.0%
1804 6
12.0%
3056 6
12.0%
1983 4
8.0%
896 4
8.0%
1248 4
8.0%
275 2
 
4.0%
2285 2
 
4.0%
4214 2
 
4.0%
Other values (6) 6
12.0%
ValueCountFrequency (%)
275 2
 
4.0%
306 1
 
2.0%
353 1
 
2.0%
699 1
 
2.0%
896 4
8.0%
1248 4
8.0%
1804 6
12.0%
1983 4
8.0%
2285 2
 
4.0%
2659 1
 
2.0%
ValueCountFrequency (%)
4214 2
 
4.0%
4135 1
 
2.0%
4120 7
14.0%
3960 1
 
2.0%
3554 7
14.0%
3056 6
12.0%
2659 1
 
2.0%
2285 2
 
4.0%
1983 4
8.0%
1804 6
12.0%

aca_cnt_250mblw
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)34.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.7
Minimum0
Maximum30
Zeros9
Zeros (%)18.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:17:36.625660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q37.75
95-th percentile21.2
Maximum30
Range30
Interquartile range (IQR)6.75

Descriptive statistics

Standard deviation6.9230464
Coefficient of variation (CV)1.2145695
Kurtosis3.200913
Mean5.7
Median Absolute Deviation (MAD)2.5
Skewness1.8543833
Sum285
Variance47.928571
MonotonicityNot monotonic
2023-12-10T22:17:36.856379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 9
18.0%
1 7
14.0%
3 6
12.0%
5 6
12.0%
2 5
10.0%
10 4
8.0%
6 2
 
4.0%
9 2
 
4.0%
24 1
 
2.0%
17 1
 
2.0%
Other values (7) 7
14.0%
ValueCountFrequency (%)
0 9
18.0%
1 7
14.0%
2 5
10.0%
3 6
12.0%
4 1
 
2.0%
5 6
12.0%
6 2
 
4.0%
7 1
 
2.0%
8 1
 
2.0%
9 2
 
4.0%
ValueCountFrequency (%)
30 1
 
2.0%
24 1
 
2.0%
23 1
 
2.0%
19 1
 
2.0%
18 1
 
2.0%
17 1
 
2.0%
10 4
8.0%
9 2
4.0%
8 1
 
2.0%
7 1
 
2.0%

aca_cnt_250movr_500mblw
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.96
Minimum0
Maximum129
Zeros2
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:17:37.087333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median8
Q317.5
95-th percentile60.55
Maximum129
Range129
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation23.507671
Coefficient of variation (CV)1.5713684
Kurtosis13.187588
Mean14.96
Median Absolute Deviation (MAD)5
Skewness3.4789926
Sum748
Variance552.61061
MonotonicityNot monotonic
2023-12-10T22:17:37.311683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
4 5
 
10.0%
2 4
 
8.0%
8 4
 
8.0%
1 3
 
6.0%
5 3
 
6.0%
11 3
 
6.0%
3 3
 
6.0%
18 3
 
6.0%
0 2
 
4.0%
10 2
 
4.0%
Other values (14) 18
36.0%
ValueCountFrequency (%)
0 2
 
4.0%
1 3
6.0%
2 4
8.0%
3 3
6.0%
4 5
10.0%
5 3
6.0%
6 2
 
4.0%
8 4
8.0%
9 2
 
4.0%
10 2
 
4.0%
ValueCountFrequency (%)
129 1
 
2.0%
89 1
 
2.0%
79 1
 
2.0%
38 1
 
2.0%
29 1
 
2.0%
23 1
 
2.0%
22 1
 
2.0%
20 1
 
2.0%
19 2
4.0%
18 3
6.0%

aca_cnt_500movr_1kmblw
Real number (ℝ)

Distinct41
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.36
Minimum6
Maximum571
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:17:37.541763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile13
Q127
median43
Q399.25
95-th percentile353.35
Maximum571
Range565
Interquartile range (IQR)72.25

Descriptive statistics

Standard deviation126.76215
Coefficient of variation (CV)1.3019942
Kurtosis3.9165064
Mean97.36
Median Absolute Deviation (MAD)22
Skewness2.0905934
Sum4868
Variance16068.643
MonotonicityNot monotonic
2023-12-10T22:17:37.736640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
40 3
 
6.0%
16 2
 
4.0%
59 2
 
4.0%
37 2
 
4.0%
13 2
 
4.0%
44 2
 
4.0%
27 2
 
4.0%
20 2
 
4.0%
571 1
 
2.0%
281 1
 
2.0%
Other values (31) 31
62.0%
ValueCountFrequency (%)
6 1
2.0%
8 1
2.0%
13 2
4.0%
15 1
2.0%
16 2
4.0%
18 1
2.0%
20 2
4.0%
22 1
2.0%
25 1
2.0%
27 2
4.0%
ValueCountFrequency (%)
571 1
2.0%
440 1
2.0%
361 1
2.0%
344 1
2.0%
313 1
2.0%
304 1
2.0%
281 1
2.0%
274 1
2.0%
178 1
2.0%
149 1
2.0%

aca_idx
Real number (ℝ)

Distinct9
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.82
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:17:37.908608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median7
Q39
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.4635299
Coefficient of variation (CV)0.36122139
Kurtosis-1.1106841
Mean6.82
Median Absolute Deviation (MAD)2
Skewness-0.26179882
Sum341
Variance6.0689796
MonotonicityNot monotonic
2023-12-10T22:17:38.106484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
10 10
20.0%
7 9
18.0%
6 7
14.0%
3 6
12.0%
9 6
12.0%
4 5
10.0%
8 4
 
8.0%
5 2
 
4.0%
2 1
 
2.0%
ValueCountFrequency (%)
2 1
 
2.0%
3 6
12.0%
4 5
10.0%
5 2
 
4.0%
6 7
14.0%
7 9
18.0%
8 4
 
8.0%
9 6
12.0%
10 10
20.0%
ValueCountFrequency (%)
10 10
20.0%
9 6
12.0%
8 4
 
8.0%
7 9
18.0%
6 7
14.0%
5 2
 
4.0%
4 5
10.0%
3 6
12.0%
2 1
 
2.0%

aca_info_1kmblw
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-10T22:17:38.529973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length1024
Mean length1020.86
Min length867

Characters and Unicode

Total characters51043
Distinct characters329
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)100.0%

Sample

1st row{"data": [{"aca_nm": "생각하는황소학원", "altitude": 127.06505358741272, "distance": 29, "longitude": 37.50340918516879}, {"aca_nm": "다독원보습학원", "altitude": 127.06601437007812, "distance": 166, "longitude": 37.501848738602746}, {"aca_nm": "필즈더클래식학원", "altitude": 127.06601437007812, "distance": 166, "longitude": 37.501848738602746}, {"aca_nm": "아카로드영재센터학원", "altitude": 127.06601437007812, "distance": 166, "longitude": 37.501848738602746}, {"aca_nm": "비씨씨서울어학원", "altitude": 127.0639020458642, "distance": 201, "longitude": 37.50464008841665}, {"aca_nm": "지연수학교습소", "altitude": 127.06547467481116, "distance": 206, "longitude": 37.5015124013995}, {"aca_nm": "모던수학교습소", "altitude": 127.06547467481116, "distance": 206, "longitude": 37.5015124013995}, {"aca_nm": "김혜경영어교습소", "altitude": 127.06547467481116, "distance": 206, "longitude": 37.5015124013995}, {"aca_nm": "영재사관학원", "altitude": 127.06374606808953, "distance": 209, "longitude": 37.50457626796825}, {"aca_nm": "펨토스에듀학원", "altitude": 127.0634765257015, "distance": 226, "lon
2nd row{"data": [{"aca_nm": "생각하는황소학원", "altitude": 127.06505358741272, "distance": 210, "longitude": 37.50340918516879}, {"aca_nm": "비씨씨서울어학원", "altitude": 127.0639020458642, "distance": 311, "longitude": 37.50464008841665}, {"aca_nm": "필즈더클래식학원", "altitude": 127.06601437007812, "distance": 322, "longitude": 37.501848738602746}, {"aca_nm": "다독원보습학원", "altitude": 127.06601437007812, "distance": 322, "longitude": 37.501848738602746}, {"aca_nm": "아카로드영재센터학원", "altitude": 127.06601437007812, "distance": 322, "longitude": 37.501848738602746}, {"aca_nm": "영재사관학원", "altitude": 127.06374606808953, "distance": 327, "longitude": 37.50457626796825}, {"aca_nm": "펨토스에듀학원", "altitude": 127.0634765257015, "distance": 356, "longitude": 37.50448239463076}, {"aca_nm": "이투스원격학원", "altitude": 127.06776927271358, "distance": 372, "longitude": 37.50151443828648}, {"aca_nm": "김혜경영어교습소", "altitude": 127.06547467481116, "distance": 385, "longitude": 37.5015124013995}, {"aca_nm": "모던수학교습소", "altitude": 127.06547467481116, "distance": 385, "
3rd row{"data": [{"aca_nm": "네모수학교습소", "altitude": 127.04798986224515, "distance": 24, "longitude": 37.49855413590925}, {"aca_nm": "아이큐브학원", "altitude": 127.04798986224515, "distance": 24, "longitude": 37.49855413590925}, {"aca_nm": "책읽기와글쓰기리딩엠역삼학원", "altitude": 127.04798986224515, "distance": 24, "longitude": 37.49855413590925}, {"aca_nm": "리딩가든영어학원", "altitude": 127.04798986224515, "distance": 24, "longitude": 37.49855413590925}, {"aca_nm": "책읽기독서논술교습소", "altitude": 127.04798986224515, "distance": 24, "longitude": 37.49855413590925}, {"aca_nm": "매쓰피아수학교습소", "altitude": 127.04798986224515, "distance": 24, "longitude": 37.49855413590925}, {"aca_nm": "예스탑수학학원", "altitude": 127.04798986224515, "distance": 24, "longitude": 37.49855413590925}, {"aca_nm": "와이즈강남논술학원", "altitude": 127.04798986224515, "distance": 24, "longitude": 37.49855413590925}, {"aca_nm": "리드인역삼독서논술교습소", "altitude": 127.04798986224515, "distance": 24, "longitude": 37.49855413590925}, {"aca_nm": "강남엔(N)플러스학원", "altitude": 127.04500461175242, "distance"
4th row{"data": [{"aca_nm": "수학쎈과학학원", "altitude": 127.06067455543179, "distance": 249, "longitude": 37.51516800007971}, {"aca_nm": "에스에이(SA)쎈학원", "altitude": 127.06067455543179, "distance": 249, "longitude": 37.51516800007971}, {"aca_nm": "대영이피아이(EPI)학원", "altitude": 127.06451491527399, "distance": 565, "longitude": 37.51585071389548}, {"aca_nm": "바른수학교습소", "altitude": 127.06507804540414, "distance": 669, "longitude": 37.51482436584307}, {"aca_nm": "위캔수학교습소", "altitude": 127.05421672837589, "distance": 720, "longitude": 37.5200198694761}, {"aca_nm": "폴라나어학원", "altitude": 127.05551811765989, "distance": 737, "longitude": 37.521146604959036}, {"aca_nm": "영국에듀학원", "altitude": 127.06516357074644, "distance": 779, "longitude": 37.513386104424214}, {"aca_nm": "지이영어교습소", "altitude": 127.05762029803766, "distance": 810, "longitude": 37.52244478279269}, {"aca_nm": "대치진수학학원", "altitude": 127.05762029803766, "distance": 810, "longitude": 37.52244478279269}, {"aca_nm": "학연수학교습소", "altitude": 127.05762029803766, "distance": 810
5th row{"data": [{"aca_nm": "폴라나어학원", "altitude": 127.05551811765989, "distance": 303, "longitude": 37.521146604959036}, {"aca_nm": "지이영어교습소", "altitude": 127.05762029803766, "distance": 363, "longitude": 37.52244478279269}, {"aca_nm": "학연수학교습소", "altitude": 127.05762029803766, "distance": 363, "longitude": 37.52244478279269}, {"aca_nm": "대치진수학학원", "altitude": 127.05762029803766, "distance": 363, "longitude": 37.52244478279269}, {"aca_nm": "위캔수학교습소", "altitude": 127.05421672837589, "distance": 383, "longitude": 37.5200198694761}, {"aca_nm": "이안어학원", "altitude": 127.05496977737961, "distance": 431, "longitude": 37.52201976982617}, {"aca_nm": "해법영어교습소", "altitude": 127.0592484097889, "distance": 445, "longitude": 37.52282665842666}, {"aca_nm": "청담아이가르텐어학원", "altitude": 127.05476422903845, "distance": 494, "longitude": 37.52248117097091}, {"aca_nm": "키즈12리더스학원", "altitude": 127.05476422903845, "distance": 494, "longitude": 37.52248117097091}, {"aca_nm": "키즈12스팀(STEAM)교과수학교습소", "altitude": 127.05476422903845, "distance"
ValueCountFrequency (%)
aca_nm 498
 
12.8%
altitude 494
 
12.7%
distance 464
 
11.9%
longitude 449
 
11.5%
data 50
 
1.3%
127.04695954319732 22
 
0.6%
37.498977312951865 20
 
0.5%
127.05101759883922 18
 
0.5%
37.48708244067282 18
 
0.5%
0 17
 
0.4%
Other values (809) 1839
47.3%
2023-12-10T22:17:39.170556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
" 4913
 
9.6%
3842
 
7.5%
7 2345
 
4.6%
a 2071
 
4.1%
t 1963
 
3.8%
: 1949
 
3.8%
, 1869
 
3.7%
2 1866
 
3.7%
1 1846
 
3.6%
5 1707
 
3.3%
Other values (319) 26672
52.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16744
32.8%
Lowercase Letter 14541
28.5%
Other Punctuation 9696
19.0%
Other Letter 4242
 
8.3%
Space Separator 3842
 
7.5%
Open Punctuation 676
 
1.3%
Close Punctuation 529
 
1.0%
Connector Punctuation 498
 
1.0%
Uppercase Letter 270
 
0.5%
Modifier Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 476
 
11.2%
원 375
 
8.8%
습 206
 
4.9%
교 180
 
4.2%
소 176
 
4.1%
이 175
 
4.1%
어 171
 
4.0%
스 122
 
2.9%
수 121
 
2.9%
영 101
 
2.4%
Other values (253) 2139
50.4%
Uppercase Letter
ValueCountFrequency (%)
S 35
13.0%
E 33
12.2%
A 23
 
8.5%
I 23
 
8.5%
L 21
 
7.8%
G 20
 
7.4%
N 15
 
5.6%
P 13
 
4.8%
K 12
 
4.4%
T 11
 
4.1%
Other values (12) 64
23.7%
Lowercase Letter
ValueCountFrequency (%)
a 2071
14.2%
t 1963
13.5%
d 1465
10.1%
n 1424
9.8%
i 1424
9.8%
e 1419
9.8%
c 967
6.7%
l 955
6.6%
u 945
6.5%
m 500
 
3.4%
Other values (9) 1408
9.7%
Decimal Number
ValueCountFrequency (%)
7 2345
14.0%
2 1866
11.1%
1 1846
11.0%
5 1707
10.2%
4 1692
10.1%
0 1624
9.7%
3 1614
9.6%
9 1487
8.9%
8 1292
7.7%
6 1271
7.6%
Other Punctuation
ValueCountFrequency (%)
" 4913
50.7%
: 1949
 
20.1%
, 1869
 
19.3%
. 963
 
9.9%
& 2
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
{ 548
81.1%
( 78
 
11.5%
[ 50
 
7.4%
Close Punctuation
ValueCountFrequency (%)
} 450
85.1%
) 78
 
14.7%
] 1
 
0.2%
Space Separator
ValueCountFrequency (%)
3842
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 498
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 31990
62.7%
Latin 14811
29.0%
Hangul 4241
 
8.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 476
 
11.2%
원 375
 
8.8%
습 206
 
4.9%
교 180
 
4.2%
소 176
 
4.1%
이 175
 
4.1%
어 171
 
4.0%
스 122
 
2.9%
수 121
 
2.9%
영 101
 
2.4%
Other values (252) 2138
50.4%
Latin
ValueCountFrequency (%)
a 2071
14.0%
t 1963
13.3%
d 1465
9.9%
n 1424
9.6%
i 1424
9.6%
e 1419
9.6%
c 967
6.5%
l 955
6.4%
u 945
6.4%
m 500
 
3.4%
Other values (31) 1678
11.3%
Common
ValueCountFrequency (%)
" 4913
15.4%
3842
12.0%
7 2345
 
7.3%
: 1949
 
6.1%
, 1869
 
5.8%
2 1866
 
5.8%
1 1846
 
5.8%
5 1707
 
5.3%
4 1692
 
5.3%
0 1624
 
5.1%
Other values (15) 8337
26.1%
Han
ValueCountFrequency (%)
學 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 46801
91.7%
Hangul 4241
 
8.3%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
" 4913
 
10.5%
3842
 
8.2%
7 2345
 
5.0%
a 2071
 
4.4%
t 1963
 
4.2%
: 1949
 
4.2%
, 1869
 
4.0%
2 1866
 
4.0%
1 1846
 
3.9%
5 1707
 
3.6%
Other values (56) 22430
47.9%
Hangul
ValueCountFrequency (%)
학 476
 
11.2%
원 375
 
8.8%
습 206
 
4.9%
교 180
 
4.2%
소 176
 
4.1%
이 175
 
4.1%
어 171
 
4.0%
스 122
 
2.9%
수 121
 
2.9%
영 101
 
2.4%
Other values (252) 2138
50.4%
CJK
ValueCountFrequency (%)
學 1
100.0%

lo
Real number (ℝ)

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.0479
Minimum127.02941
Maximum127.11274
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:17:39.481102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.02941
5-th percentile127.03115
Q1127.03899
median127.04616
Q3127.05318
95-th percentile127.06904
Maximum127.11274
Range0.083330978
Interquartile range (IQR)0.014187685

Descriptive statistics

Standard deviation0.014333963
Coefficient of variation (CV)0.0001128233
Kurtosis7.4393365
Mean127.0479
Median Absolute Deviation (MAD)0.0071630402
Skewness2.0351496
Sum6352.3948
Variance0.0002054625
MonotonicityNot monotonic
2023-12-10T22:17:39.700397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.065532964008 1
 
2.0%
127.039367762524 1
 
2.0%
127.051880882698 1
 
2.0%
127.051003157318 1
 
2.0%
127.048829672038 1
 
2.0%
127.048730912287 1
 
2.0%
127.046289918215 1
 
2.0%
127.045968749644 1
 
2.0%
127.045885340392 1
 
2.0%
127.044438891173 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
127.029408985511 1
2.0%
127.030862733949 1
2.0%
127.03095293507 1
2.0%
127.031387524964 1
2.0%
127.032874451293 1
2.0%
127.033552843524 1
2.0%
127.033743386024 1
2.0%
127.034385507106 1
2.0%
127.034845549184 1
2.0%
127.035868808941 1
2.0%
ValueCountFrequency (%)
127.112739963673 1
2.0%
127.075100500297 1
2.0%
127.07087436852 1
2.0%
127.066787012877 1
2.0%
127.065532964008 1
2.0%
127.060483984218 1
2.0%
127.059418422668 1
2.0%
127.059365680062 1
2.0%
127.057829498346 1
2.0%
127.057218089165 1
2.0%

la
Real number (ℝ)

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.496726
Minimum37.473165
Maximum37.523684
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:17:39.914833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.473165
5-th percentile37.478359
Q137.486484
median37.494187
Q337.507375
95-th percentile37.519071
Maximum37.523684
Range0.050519605
Interquartile range (IQR)0.020890872

Descriptive statistics

Standard deviation0.013420588
Coefficient of variation (CV)0.00035791361
Kurtosis-0.97958521
Mean37.496726
Median Absolute Deviation (MAD)0.009069487
Skewness0.30571779
Sum1874.8363
Variance0.00018011219
MonotonicityNot monotonic
2023-12-10T22:17:40.181091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.5033403503171 1
 
2.0%
37.507185891958095 1
 
2.0%
37.486638753585694 1
 
2.0%
37.4870848920094 1
 
2.0%
37.486731832591 1
 
2.0%
37.48917300218591 1
 
2.0%
37.4962280404637 1
 
2.0%
37.4965465137377 1
 
2.0%
37.4967329156018 1
 
2.0%
37.5004987887703 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
37.4731645931654 1
2.0%
37.4746082742704 1
2.0%
37.476155698557506 1
2.0%
37.4810519004336 1
2.0%
37.481333664273905 1
2.0%
37.481682128555 1
2.0%
37.4824657036676 1
2.0%
37.4846486329701 1
2.0%
37.4852013763256 1
2.0%
37.48527638223089 1
2.0%
ValueCountFrequency (%)
37.52368419807831 1
2.0%
37.521092184631506 1
2.0%
37.5196629002269 1
2.0%
37.518348072455105 1
2.0%
37.5167639969676 1
2.0%
37.514721392611904 1
2.0%
37.5138822721222 1
2.0%
37.51311643403751 1
2.0%
37.51292727084729 1
2.0%
37.5116200294638 1
2.0%

Sample

uidapt_cdapt_nmrdnmadrlegaldong_cdstrd_yearnxtelschlapt_ynshientr_cntphsentr_cntshientr_ratephsentr_rateshientr_rate_phsentr_rate_idxsigngu_shientr_cnt_ranksigngu_phsentr_cnt_ranksigngu_shientr_rate_ranksigngu_phsentr_rate_rankctpr_shientr_cnt_rankctpr_phsentr_cnt_rankctpr_shientr_rate_rankctpr_phsentr_rate_rankntwd_shientr_cnt_rankntwd_phsentr_cnt_rankntwd_shientr_rate_rankntwd_phsentr_rate_rankaca_cnt_250mblwaca_cnt_250movr_500mblwaca_cnt_500movr_1kmblwaca_idxaca_info_1kmblwlola
07815APT1168021220020325000001S-TOWER서울특별시 강남구 영동대로 3251168010600202206361230.1527.331051986311715902462679240539124690282751012957110{"data": [{"aca_nm": "생각하는황소학원", "altitude": 127.06505358741272, "distance": 29, "longitude": 37.50340918516879}, {"aca_nm": "다독원보습학원", "altitude": 127.06601437007812, "distance": 166, "longitude": 37.501848738602746}, {"aca_nm": "필즈더클래식학원", "altitude": 127.06601437007812, "distance": 166, "longitude": 37.501848738602746}, {"aca_nm": "아카로드영재센터학원", "altitude": 127.06601437007812, "distance": 166, "longitude": 37.501848738602746}, {"aca_nm": "비씨씨서울어학원", "altitude": 127.0639020458642, "distance": 201, "longitude": 37.50464008841665}, {"aca_nm": "지연수학교습소", "altitude": 127.06547467481116, "distance": 206, "longitude": 37.5015124013995}, {"aca_nm": "모던수학교습소", "altitude": 127.06547467481116, "distance": 206, "longitude": 37.5015124013995}, {"aca_nm": "김혜경영어교습소", "altitude": 127.06547467481116, "distance": 206, "longitude": 37.5015124013995}, {"aca_nm": "영재사관학원", "altitude": 127.06374606808953, "distance": 209, "longitude": 37.50457626796825}, {"aca_nm": "펨토스에듀학원", "altitude": 127.0634765257015, "distance": 226, "lon127.06553337.50334
17816APT1168021220020330000701풍림아이원4차(1007-2)서울특별시 강남구 영동대로 330-71168010600202206361230.1527.3310519863117159024626792405391246902827512044010{"data": [{"aca_nm": "생각하는황소학원", "altitude": 127.06505358741272, "distance": 210, "longitude": 37.50340918516879}, {"aca_nm": "비씨씨서울어학원", "altitude": 127.0639020458642, "distance": 311, "longitude": 37.50464008841665}, {"aca_nm": "필즈더클래식학원", "altitude": 127.06601437007812, "distance": 322, "longitude": 37.501848738602746}, {"aca_nm": "다독원보습학원", "altitude": 127.06601437007812, "distance": 322, "longitude": 37.501848738602746}, {"aca_nm": "아카로드영재센터학원", "altitude": 127.06601437007812, "distance": 322, "longitude": 37.501848738602746}, {"aca_nm": "영재사관학원", "altitude": 127.06374606808953, "distance": 327, "longitude": 37.50457626796825}, {"aca_nm": "펨토스에듀학원", "altitude": 127.0634765257015, "distance": 356, "longitude": 37.50448239463076}, {"aca_nm": "이투스원격학원", "altitude": 127.06776927271358, "distance": 372, "longitude": 37.50151443828648}, {"aca_nm": "김혜경영어교습소", "altitude": 127.06547467481116, "distance": 385, "longitude": 37.5015124013995}, {"aca_nm": "모던수학교습소", "altitude": 127.06547467481116, "distance": 385, "127.06678737.504242
27833APT1168030050860332000001역삼푸르지오서울특별시 강남구 언주로 33211680101002022010827213.519.6710112264906172661400127633561184151245923554238936110{"data": [{"aca_nm": "네모수학교습소", "altitude": 127.04798986224515, "distance": 24, "longitude": 37.49855413590925}, {"aca_nm": "아이큐브학원", "altitude": 127.04798986224515, "distance": 24, "longitude": 37.49855413590925}, {"aca_nm": "책읽기와글쓰기리딩엠역삼학원", "altitude": 127.04798986224515, "distance": 24, "longitude": 37.49855413590925}, {"aca_nm": "리딩가든영어학원", "altitude": 127.04798986224515, "distance": 24, "longitude": 37.49855413590925}, {"aca_nm": "책읽기독서논술교습소", "altitude": 127.04798986224515, "distance": 24, "longitude": 37.49855413590925}, {"aca_nm": "매쓰피아수학교습소", "altitude": 127.04798986224515, "distance": 24, "longitude": 37.49855413590925}, {"aca_nm": "예스탑수학학원", "altitude": 127.04798986224515, "distance": 24, "longitude": 37.49855413590925}, {"aca_nm": "와이즈강남논술학원", "altitude": 127.04798986224515, "distance": 24, "longitude": 37.49855413590925}, {"aca_nm": "리드인역삼독서논술교습소", "altitude": 127.04798986224515, "distance": 24, "longitude": 37.49855413590925}, {"aca_nm": "강남엔(N)플러스학원", "altitude": 127.04500461175242, "distance"127.04694337.497902
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417840APT1168030050860615000001논현 아이파크서울특별시 강남구 언주로 6151168010800202207920918.4513.39101234807428692019703721731324721471739180414274{"data": [{"aca_nm": "21세기수학보습학원", "altitude": 127.03777385484652, "distance": 162, "longitude": 37.51097557264597}, {"aca_nm": "마가학원", "altitude": 127.03939708969658, "distance": 343, "longitude": 37.51125002462189}, {"aca_nm": "힐스독서논술교습소", "altitude": 127.03939708969658, "distance": 343, "longitude": 37.51125002462189}, {"aca_nm": "윤혜영영어교습소", "altitude": 127.03951061356743, "distance": 345, "longitude": 37.510986654599066}, {"aca_nm": "이원학원", "altitude": 127.04030292984719, "distance": 448, "longitude": 37.51146428829277}, {"aca_nm": "한누네학원", "altitude": 127.04077908896143, "distance": 508, "longitude": 37.511664618869986}, {"aca_nm": "에더블빌리지라이브러리어학원", "altitude": 127.04117534056833, "distance": 599, "longitude": 37.51252760170512}, {"aca_nm": "에이지아이(AGI)어학원", "altitude": 127.03336186571532, "distance": 614, "longitude": 37.50622692776978}, {"aca_nm": "티엘씨에듀센터어학원", "altitude": 127.04195114080322, "distance": 635, "longitude": 37.5117420410565}, {"aca_nm": "입사미미대입시컨설팅학원", "altitude": 127.04255551009705, "dis127.03586937.510588
427841APT1168030050860620000001현대인텔렉스서울특별시 강남구 언주로 6201168010800202207920918.4513.39101234807428692019703721731324721471739180415325{"data": [{"aca_nm": "21세기수학보습학원", "altitude": 127.03777385484652, "distance": 147, "longitude": 37.51097557264597}, {"aca_nm": "마가학원", "altitude": 127.03939708969658, "distance": 315, "longitude": 37.51125002462189}, {"aca_nm": "힐스독서논술교습소", "altitude": 127.03939708969658, "distance": 315, "longitude": 37.51125002462189}, {"aca_nm": "윤혜영영어교습소", "altitude": 127.03951061356743, "distance": 332, "longitude": 37.510986654599066}, {"aca_nm": "이원학원", "altitude": 127.04030292984719, "distance": 415, "longitude": 37.51146428829277}, {"aca_nm": "한누네학원", "altitude": 127.04077908896143, "distance": 469, "longitude": 37.511664618869986}, {"aca_nm": "에더블빌리지라이브러리어학원", "altitude": 127.04117534056833, "distance": 536, "longitude": 37.51252760170512}, {"aca_nm": "티엘씨에듀센터어학원", "altitude": 127.04195114080322, "distance": 600, "longitude": 37.5117420410565}, {"aca_nm": "입사미미대입시컨설팅학원", "altitude": 127.04255551009705, "distance": 671, "longitude": 37.510817998034696}, {"aca_nm": "케이엠(KM)수학교습소", "altitude": 127.0410595336009, "dist127.03635237.51162
437842APT1168030050860641000001펜트힐루논현서울특별시 강남구 언주로 6411168010800202207920918.4513.39101234807428692019703721731324721471739180401404{"data": [{"aca_nm": "21세기수학보습학원", "altitude": 127.03777385484652, "distance": 486, "longitude": 37.51097557264597}, {"aca_nm": "힐스독서논술교습소", "altitude": 127.03939708969658, "distance": 592, "longitude": 37.51125002462189}, {"aca_nm": "마가학원", "altitude": 127.03939708969658, "distance": 592, "longitude": 37.51125002462189}, {"aca_nm": "강남삼육외국어학원", "altitude": 127.03844272480723, "distance": 617, "longitude": 37.51762551756283}, {"aca_nm": "윤혜영영어교습소", "altitude": 127.03951061356743, "distance": 624, "longitude": 37.510986654599066}, {"aca_nm": "이원학원", "altitude": 127.04030292984719, "distance": 662, "longitude": 37.51146428829277}, {"aca_nm": "케이엠(KM)수학교습소", "altitude": 127.0410595336009, "distance": 681, "longitude": 37.514947646802014}, {"aca_nm": "한누네학원", "altitude": 127.04077908896143, "distance": 697, "longitude": 37.511664618869986}, {"aca_nm": "에더블빌리지라이브러리어학원", "altitude": 127.04117534056833, "distance": 700, "longitude": 37.51252760170512}, {"aca_nm": "티엘씨에듀센터어학원", "altitude": 127.04195114080322, "distan127.03484637.513882
447843APT1168031210220205000001한신엠비씨서울특별시 강남구 논현로 2051168011800202206918114.8710.7710457619394565144424471003289546682681379030562411289{"data": [{"aca_nm": "지니어스랩과학교습소", "altitude": 127.0406182559137, "distance": 0, "longitude": 37.48794785058992}, {"aca_nm": "수학나라교습소", "altitude": 127.0406182559137, "distance": 0, "longitude": 37.48794785058992}, {"aca_nm": "명선과학교습소", "altitude": 127.0406182559137, "distance": 0, "longitude": 37.48794785058992}, {"aca_nm": "전희재국어교습소", "altitude": 127.0406182559137, "distance": 0, "longitude": 37.48794785058992}, {"aca_nm": "델타수학학원", "altitude": 127.0399513529059, "distance": 7, "longitude": 37.48776238750013}, {"aca_nm": "로이스지피에이(Roy`s GPA)학원", "altitude": 127.0399513529059, "distance": 7, "longitude": 37.48776238750013}, {"aca_nm": "이현우고도수학학원", "altitude": 127.03985898111311, "distance": 18, "longitude": 37.487590250665285}, {"aca_nm": "로제타스톤영어교실교습소", "altitude": 127.03975633249968, "distance": 18, "longitude": 37.487392738695085}, {"aca_nm": "리딩코치원서리딩영어교습소", "altitude": 127.040227814632, "distance": 19, "longitude": 37.488217721598666}, {"aca_nm": "이노블스언주영어학원", "altitude": 127.03977247671617, "distance":127.04055537.487184
457844APT1168031210220209000001경남서울특별시 강남구 논현로 2091168011800202206918114.8710.7710457619394565144424471003289546682681379030561923229{"data": [{"aca_nm": "송윤논술교습소", "altitude": 127.04024171268748, "distance": 12, "longitude": 37.4890398576711}, {"aca_nm": "리딩코치원서리딩영어교습소", "altitude": 127.040227814632, "distance": 18, "longitude": 37.488217721598666}, {"aca_nm": "프라임해법영어교습소", "altitude": 127.04002850719255, "distance": 20, "longitude": 37.488698376405736}, {"aca_nm": "생각쌓기사고력수학교습소", "altitude": 127.04017581018817, "distance": 33, "longitude": 37.489211150734505}, {"aca_nm": "지혜의샘국어교습소", "altitude": 127.04017581018817, "distance": 33, "longitude": 37.489211150734505}, {"aca_nm": "지니어스랩과학교습소", "altitude": 127.0406182559137, "distance": 62, "longitude": 37.48794785058992}, {"aca_nm": "명선과학교습소", "altitude": 127.0406182559137, "distance": 62, "longitude": 37.48794785058992}, {"aca_nm": "수학나라교습소", "altitude": 127.0406182559137, "distance": 62, "longitude": 37.48794785058992}, {"aca_nm": "전희재국어교습소", "altitude": 127.0406182559137, "distance": 62, "longitude": 37.48794785058992}, {"aca_nm": "이노블스언주영어학원", "altitude": 127.03977247671617, "distance": 6127.04081937.48898
467845APT1168031210220213000001럭키(963)서울특별시 강남구 논현로 2131168011800202209628816.7812.58106720639044636412519222193156313633603228530153310{"data": [{"aca_nm": "수학의샘수학교습소", "altitude": 127.04099728671711, "distance": 0, "longitude": 37.49141409431165}, {"aca_nm": "서울바움수학교습소", "altitude": 127.04099728671711, "distance": 0, "longitude": 37.49141409431165}, {"aca_nm": "대치멘토학원", "altitude": 127.04099728671711, "distance": 0, "longitude": 37.49141409431165}, {"aca_nm": "지혜의샘국어교습소", "altitude": 127.04017581018817, "distance": 21, "longitude": 37.489211150734505}, {"aca_nm": "생각쌓기사고력수학교습소", "altitude": 127.04017581018817, "distance": 21, "longitude": 37.489211150734505}, {"aca_nm": "대치에이프릴어학원", "altitude": 127.03974884551312, "distance": 43, "longitude": 37.49171347791907}, {"aca_nm": "엠이케이(MEK)보습학원", "altitude": 127.03974884551312, "distance": 43, "longitude": 37.49171347791907}, {"aca_nm": "이씨엘(E.C.L)어학원", "altitude": 127.03974884551312, "distance": 43, "longitude": 37.49171347791907}, {"aca_nm": "시그마베스트학원", "altitude": 127.03974884551312, "distance": 43, "longitude": 37.49171347791907}, {"aca_nm": "와이즈클래스학원", "altitude": 127.03974884551312, "distanc127.03995237.490519
477846APT1168031210220218000001삼익서울특별시 강남구 논현로 2181168011800202209628816.7812.5810672063904463641251922219315631363360322851718369{"data": [{"aca_nm": "수학의샘수학교습소", "altitude": 127.04099728671711, "distance": 55, "longitude": 37.49141409431165}, {"aca_nm": "서울바움수학교습소", "altitude": 127.04099728671711, "distance": 55, "longitude": 37.49141409431165}, {"aca_nm": "대치멘토학원", "altitude": 127.04099728671711, "distance": 55, "longitude": 37.49141409431165}, {"aca_nm": "레벨업아카데미학원", "altitude": 127.04039462563888, "distance": 105, "longitude": 37.49193940508839}, {"aca_nm": "247에듀케어학원", "altitude": 127.0400204327673, "distance": 146, "longitude": 37.491820935153115}, {"aca_nm": "주니어학원", "altitude": 127.03974884551312, "distance": 178, "longitude": 37.49171347791907}, {"aca_nm": "엠이케이(MEK)보습학원", "altitude": 127.03974884551312, "distance": 178, "longitude": 37.49171347791907}, {"aca_nm": "대치에이프릴어학원", "altitude": 127.03974884551312, "distance": 178, "longitude": 37.49171347791907}, {"aca_nm": "조앤북영어학원", "altitude": 127.03974884551312, "distance": 178, "longitude": 37.49171347791907}, {"aca_nm": "이씨엘(E.C.L)어학원", "altitude": 127.03974884551312, "distanc127.04227837.490804
487847APT1168031210220565000001현대휴먼터치빌서울특별시 강남구 논현로 5651168010100202207330723.0718.64103571303121861294105477583341281122313089610274{"data": [{"aca_nm": "에이지아이(AGI)어학원", "altitude": 127.03336186571532, "distance": 43, "longitude": 37.50622692776978}, {"aca_nm": "케이에스에이학원", "altitude": 127.03496220086578, "distance": 529, "longitude": 37.502589432548696}, {"aca_nm": "에스이(SE)원격학원", "altitude": 127.03275943262064, "distance": 716, "longitude": 37.501200415362185}, {"aca_nm": "21세기수학보습학원", "altitude": 127.03777385484652, "distance": 733, "longitude": 37.51097557264597}, {"aca_nm": "클라쎄독일어학원", "altitude": 127.03217745023143, "distance": 739, "longitude": 37.50113223134711}, {"aca_nm": "얼라이언스원격학원", "altitude": 127.03933599598886, "distance": 759, "longitude": 37.503002415436214}, {"aca_nm": "이앤이학원", "altitude": 127.02689635519584, "distance": 761, "longitude": 37.507740700229874}, {"aca_nm": "허정희수학교습소", "altitude": 127.02707414597499, "distance": 793, "longitude": 37.5089118632287}, {"aca_nm": "정민영어교습소", "altitude": 127.02707414597499, "distance": 793, "longitude": 37.5089118632287}, {"aca_nm": "유토스학원", "altitude": 127.03344890016126, "distance127.03374337.506501
497848APT1168031210220661000001KIRIN HILLS서울특별시 강남구 논현로 6611168010800202207330723.0718.64103571303121861294105477583341281122313089601163{"data": [{"aca_nm": "지아이에이(GIA)학원", "altitude": 127.02732575739383, "distance": 417, "longitude": 37.514370907976044}, {"aca_nm": "암기왕닷컴원격학원", "altitude": 127.0254318116869, "distance": 583, "longitude": 37.51345193838157}, {"aca_nm": "논현탑클래스학원", "altitude": 127.02666596097534, "distance": 659, "longitude": 37.509331484422255}, {"aca_nm": "허정희수학교습소", "altitude": 127.02707414597499, "distance": 675, "longitude": 37.5089118632287}, {"aca_nm": "정민영어교습소", "altitude": 127.02707414597499, "distance": 675, "longitude": 37.5089118632287}, {"aca_nm": "에더블빌리지어학원", "altitude": 127.02595158813902, "distance": 770, "longitude": 37.517079035319014}, {"aca_nm": "21세기수학보습학원", "altitude": 127.03777385484652, "distance": 781, "longitude": 37.51097557264597}, {"aca_nm": "이앤이학원", "altitude": 127.02689635519584, "distance": 823, "longitude": 37.507740700229874}, {"aca_nm": "대림우등생학원", "altitude": 127.02515606257606, "distance": 887, "longitude": 37.50822605925256}, {"aca_nm": "논현해법영어학원", "altitude": 127.02569783275672, "distance"127.03086337.512927