Overview

Dataset statistics

Number of variables150
Number of observations3000
Missing cells19764
Missing cells (%)4.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 MiB
Average record size in memory1.3 KiB

Variable types

Numeric18
Categorical121
Text11

Dataset

DescriptionESG 경영 관련 소비자 인식 및 권익 제고 방안 연구에 활용된 설문조사 원시데이터로 참여순번, 문항번호, 답변번호, 답변내용 등을 포함한 내용입니다.
URLhttps://www.data.go.kr/data/15114291/fileData.do

Alerts

q2_5 is highly imbalanced (71.8%)Imbalance
q2_6 is highly imbalanced (67.7%)Imbalance
q2_8 is highly imbalanced (90.0%)Imbalance
q2_9 is highly imbalanced (85.5%)Imbalance
q79_1 is highly imbalanced (52.6%)Imbalance
q79_3 is highly imbalanced (66.7%)Imbalance
q79_5 is highly imbalanced (88.0%)Imbalance
q79_6 is highly imbalanced (80.2%)Imbalance
q79_7 is highly imbalanced (80.1%)Imbalance
q79_8 is highly imbalanced (96.8%)Imbalance
q79_9 is highly imbalanced (97.9%)Imbalance
q80 is highly imbalanced (56.5%)Imbalance
q4_4 has 2969 (99.0%) missing valuesMissing
q67_1 has 2749 (91.6%) missing valuesMissing
q69_1 has 2808 (93.6%) missing valuesMissing
q71_1 has 2806 (93.5%) missing valuesMissing
q73_1 has 2853 (95.1%) missing valuesMissing
q75_1 has 2792 (93.1%) missing valuesMissing
q77_1 has 2757 (91.9%) missing valuesMissing
no has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:26:54.979204
Analysis finished2023-12-12 23:26:58.469671
Duration3.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

no
Real number (ℝ)

UNIQUE 

Distinct3000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2240.005
Minimum1
Maximum6656
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.5 KiB
2023-12-13T08:26:58.534315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile212.95
Q1993.75
median1953.5
Q33321.25
95-th percentile5189.65
Maximum6656
Range6655
Interquartile range (IQR)2327.5

Descriptive statistics

Standard deviation1528.2462
Coefficient of variation (CV)0.68225125
Kurtosis-0.58637424
Mean2240.005
Median Absolute Deviation (MAD)1117.5
Skewness0.56444653
Sum6720015
Variance2335536.5
MonotonicityStrictly increasing
2023-12-13T08:26:58.679581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2849 1
 
< 0.1%
2832 1
 
< 0.1%
2833 1
 
< 0.1%
2834 1
 
< 0.1%
2835 1
 
< 0.1%
2838 1
 
< 0.1%
2839 1
 
< 0.1%
2840 1
 
< 0.1%
2846 1
 
< 0.1%
Other values (2990) 2990
99.7%
ValueCountFrequency (%)
1 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
ValueCountFrequency (%)
6656 1
< 0.1%
6625 1
< 0.1%
6298 1
< 0.1%
6289 1
< 0.1%
6249 1
< 0.1%
6238 1
< 0.1%
6174 1
< 0.1%
6100 1
< 0.1%
6048 1
< 0.1%
6030 1
< 0.1%

q1
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
1
1854 
2
1146 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 1854
61.8%
2 1146
38.2%

Length

2023-12-13T08:26:58.855592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:26:58.977340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1854
61.8%
2 1146
38.2%

q2-1
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
<NA>
1947 
1
1053 

Length

Max length4
Median length4
Mean length2.947
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row<NA>
3rd row1
4th row1
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1947
64.9%
1 1053
35.1%

Length

2023-12-13T08:26:59.098054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:26:59.194298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1947
64.9%
1 1053
35.1%

q2-2
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
<NA>
1833 
2
1167 

Length

Max length4
Median length4
Mean length2.833
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row2
3rd row2
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1833
61.1%
2 1167
38.9%

Length

2023-12-13T08:26:59.297971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:26:59.401727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1833
61.1%
2 1167
38.9%

q2_3
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
<NA>
2520 
3
480 

Length

Max length4
Median length4
Mean length3.52
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2520
84.0%
3 480
 
16.0%

Length

2023-12-13T08:26:59.521048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:26:59.620027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2520
84.0%
3 480
 
16.0%

q2_4
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
<NA>
1846 
4
1154 

Length

Max length4
Median length4
Mean length2.846
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row4
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1846
61.5%
4 1154
38.5%

Length

2023-12-13T08:26:59.746892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:26:59.865261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1846
61.5%
4 1154
38.5%

q2_5
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
<NA>
2853 
5
 
147

Length

Max length4
Median length4
Mean length3.853
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2853
95.1%
5 147
 
4.9%

Length

2023-12-13T08:27:00.023743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:00.159159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2853
95.1%
5 147
 
4.9%

q2_6
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
<NA>
2823 
6
 
177

Length

Max length4
Median length4
Mean length3.823
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2823
94.1%
6 177
 
5.9%

Length

2023-12-13T08:27:00.290604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:00.400134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2823
94.1%
6 177
 
5.9%

q2_7
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
<NA>
2636 
7
364 

Length

Max length4
Median length4
Mean length3.636
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2636
87.9%
7 364
 
12.1%

Length

2023-12-13T08:27:00.503098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:00.596874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2636
87.9%
7 364
 
12.1%

q2_8
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
<NA>
2961 
8
 
39

Length

Max length4
Median length4
Mean length3.961
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2961
98.7%
8 39
 
1.3%

Length

2023-12-13T08:27:00.711321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:00.805351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2961
98.7%
8 39
 
1.3%

q2_9
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
<NA>
2938 
9
 
62

Length

Max length4
Median length4
Mean length3.938
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2938
97.9%
9 62
 
2.1%

Length

2023-12-13T08:27:00.919667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:01.026027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2938
97.9%
9 62
 
2.1%

q3
Categorical

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
<NA>
1146 
4
824 
3
666 
2
209 
5
137 

Length

Max length4
Median length1
Mean length2.146
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row3
3rd row4
4th row3
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1146
38.2%
4 824
27.5%
3 666
22.2%
2 209
 
7.0%
5 137
 
4.6%
1 18
 
0.6%

Length

2023-12-13T08:27:01.122189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:01.220946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1146
38.2%
4 824
27.5%
3 666
22.2%
2 209
 
7.0%
5 137
 
4.6%
1 18
 
0.6%

q4_1
Text

Distinct432
Distinct (%)14.4%
Missing5
Missing (%)0.2%
Memory size23.6 KiB
2023-12-13T08:27:01.449699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length2
Mean length3.0010017
Min length1

Characters and Unicode

Total characters8988
Distinct characters333
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique291 ?
Unique (%)9.7%

Sample

1st row환경
2nd row탄소중립
3rd row환경
4th row윤리
5th row환경
ValueCountFrequency (%)
환경 952
30.4%
친환경 531
16.9%
없음 123
 
3.9%
모름 122
 
3.9%
탄소중립 102
 
3.3%
사회적 74
 
2.4%
에너지 73
 
2.3%
책임 55
 
1.8%
환경보호 46
 
1.5%
경영 46
 
1.5%
Other values (396) 1009
32.2%
2023-12-13T08:27:01.846245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1692
18.8%
1594
17.7%
574
 
6.4%
221
 
2.5%
208
 
2.3%
200
 
2.2%
195
 
2.2%
189
 
2.1%
152
 
1.7%
144
 
1.6%
Other values (323) 3819
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8279
92.1%
Lowercase Letter 491
 
5.5%
Space Separator 138
 
1.5%
Uppercase Letter 44
 
0.5%
Other Punctuation 30
 
0.3%
Decimal Number 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1692
20.4%
1594
19.3%
574
 
6.9%
221
 
2.7%
208
 
2.5%
200
 
2.4%
195
 
2.4%
189
 
2.3%
152
 
1.8%
144
 
1.7%
Other values (283) 3110
37.6%
Lowercase Letter
ValueCountFrequency (%)
n 99
20.2%
e 80
16.3%
o 44
9.0%
r 39
 
7.9%
t 39
 
7.9%
i 36
 
7.3%
m 36
 
7.3%
v 32
 
6.5%
s 16
 
3.3%
c 15
 
3.1%
Other values (12) 55
11.2%
Uppercase Letter
ValueCountFrequency (%)
E 17
38.6%
S 10
22.7%
G 6
 
13.6%
M 4
 
9.1%
H 1
 
2.3%
O 1
 
2.3%
C 1
 
2.3%
L 1
 
2.3%
R 1
 
2.3%
A 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 13
43.3%
? 11
36.7%
, 5
 
16.7%
! 1
 
3.3%
Decimal Number
ValueCountFrequency (%)
0 4
66.7%
1 2
33.3%
Space Separator
ValueCountFrequency (%)
138
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8279
92.1%
Latin 535
 
6.0%
Common 174
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1692
20.4%
1594
19.3%
574
 
6.9%
221
 
2.7%
208
 
2.5%
200
 
2.4%
195
 
2.4%
189
 
2.3%
152
 
1.8%
144
 
1.7%
Other values (283) 3110
37.6%
Latin
ValueCountFrequency (%)
n 99
18.5%
e 80
15.0%
o 44
8.2%
r 39
 
7.3%
t 39
 
7.3%
i 36
 
6.7%
m 36
 
6.7%
v 32
 
6.0%
E 17
 
3.2%
s 16
 
3.0%
Other values (23) 97
18.1%
Common
ValueCountFrequency (%)
138
79.3%
. 13
 
7.5%
? 11
 
6.3%
, 5
 
2.9%
0 4
 
2.3%
1 2
 
1.1%
! 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8278
92.1%
ASCII 709
 
7.9%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1692
20.4%
1594
19.3%
574
 
6.9%
221
 
2.7%
208
 
2.5%
200
 
2.4%
195
 
2.4%
189
 
2.3%
152
 
1.8%
144
 
1.7%
Other values (282) 3109
37.6%
ASCII
ValueCountFrequency (%)
138
19.5%
n 99
14.0%
e 80
11.3%
o 44
 
6.2%
r 39
 
5.5%
t 39
 
5.5%
i 36
 
5.1%
m 36
 
5.1%
v 32
 
4.5%
E 17
 
2.4%
Other values (30) 149
21.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

q4_2
Text

Distinct676
Distinct (%)22.6%
Missing6
Missing (%)0.2%
Memory size23.6 KiB
2023-12-13T08:27:02.142247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length3.2247829
Min length1

Characters and Unicode

Total characters9655
Distinct characters398
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique480 ?
Unique (%)16.0%

Sample

1st row사회
2nd row녹색성장
3rd row사회
4th row지속
5th row구조
ValueCountFrequency (%)
사회 542
 
16.8%
환경 151
 
4.7%
사회적 149
 
4.6%
친환경 147
 
4.6%
없음 126
 
3.9%
모름 124
 
3.8%
책임 112
 
3.5%
사회적책임 106
 
3.3%
윤리 63
 
2.0%
지속가능 54
 
1.7%
Other values (650) 1650
51.2%
2023-12-13T08:27:02.595812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
950
 
9.8%
941
 
9.7%
509
 
5.3%
440
 
4.6%
357
 
3.7%
277
 
2.9%
276
 
2.9%
272
 
2.8%
230
 
2.4%
191
 
2.0%
Other values (388) 5212
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8998
93.2%
Lowercase Letter 334
 
3.5%
Space Separator 230
 
2.4%
Uppercase Letter 42
 
0.4%
Other Punctuation 35
 
0.4%
Decimal Number 14
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
950
 
10.6%
941
 
10.5%
509
 
5.7%
440
 
4.9%
357
 
4.0%
277
 
3.1%
276
 
3.1%
272
 
3.0%
191
 
2.1%
187
 
2.1%
Other values (341) 4598
51.1%
Lowercase Letter
ValueCountFrequency (%)
s 46
13.8%
a 38
11.4%
i 38
11.4%
o 37
11.1%
c 35
10.5%
l 35
10.5%
e 22
6.6%
t 13
 
3.9%
g 11
 
3.3%
n 9
 
2.7%
Other values (13) 50
15.0%
Uppercase Letter
ValueCountFrequency (%)
S 17
40.5%
E 7
16.7%
G 6
 
14.3%
L 3
 
7.1%
R 2
 
4.8%
M 2
 
4.8%
O 1
 
2.4%
C 1
 
2.4%
I 1
 
2.4%
A 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
? 21
60.0%
. 10
28.6%
# 1
 
2.9%
! 1
 
2.9%
& 1
 
2.9%
; 1
 
2.9%
Decimal Number
ValueCountFrequency (%)
0 6
42.9%
1 3
21.4%
2 3
21.4%
9 2
 
14.3%
Space Separator
ValueCountFrequency (%)
230
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8998
93.2%
Latin 376
 
3.9%
Common 281
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
950
 
10.6%
941
 
10.5%
509
 
5.7%
440
 
4.9%
357
 
4.0%
277
 
3.1%
276
 
3.1%
272
 
3.0%
191
 
2.1%
187
 
2.1%
Other values (341) 4598
51.1%
Latin
ValueCountFrequency (%)
s 46
12.2%
a 38
10.1%
i 38
10.1%
o 37
9.8%
c 35
9.3%
l 35
9.3%
e 22
 
5.9%
S 17
 
4.5%
t 13
 
3.5%
g 11
 
2.9%
Other values (24) 84
22.3%
Common
ValueCountFrequency (%)
230
81.9%
? 21
 
7.5%
. 10
 
3.6%
0 6
 
2.1%
1 3
 
1.1%
2 3
 
1.1%
9 2
 
0.7%
( 1
 
0.4%
) 1
 
0.4%
# 1
 
0.4%
Other values (3) 3
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8997
93.2%
ASCII 657
 
6.8%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
950
 
10.6%
941
 
10.5%
509
 
5.7%
440
 
4.9%
357
 
4.0%
277
 
3.1%
276
 
3.1%
272
 
3.0%
191
 
2.1%
187
 
2.1%
Other values (340) 4597
51.1%
ASCII
ValueCountFrequency (%)
230
35.0%
s 46
 
7.0%
a 38
 
5.8%
i 38
 
5.8%
o 37
 
5.6%
c 35
 
5.3%
l 35
 
5.3%
e 22
 
3.3%
? 21
 
3.2%
S 17
 
2.6%
Other values (37) 138
21.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

q4_3
Text

Distinct830
Distinct (%)27.8%
Missing19
Missing (%)0.6%
Memory size23.6 KiB
2023-12-13T08:27:02.938972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length3.5005032
Min length1

Characters and Unicode

Total characters10435
Distinct characters434
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique606 ?
Unique (%)20.3%

Sample

1st row환경
2nd row지배구조
3rd row환경
4th row에너지
5th row지배구조
ValueCountFrequency (%)
지배구조 390
 
12.1%
모름 146
 
4.5%
없음 130
 
4.0%
사회 117
 
3.6%
환경 88
 
2.7%
경영 87
 
2.7%
친환경 81
 
2.5%
책임 78
 
2.4%
사회적 77
 
2.4%
윤리 59
 
1.8%
Other values (790) 1966
61.1%
2023-12-13T08:27:03.359416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
692
 
6.6%
476
 
4.6%
470
 
4.5%
465
 
4.5%
464
 
4.4%
359
 
3.4%
349
 
3.3%
290
 
2.8%
239
 
2.3%
236
 
2.3%
Other values (424) 6395
61.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9639
92.4%
Lowercase Letter 435
 
4.2%
Space Separator 239
 
2.3%
Uppercase Letter 47
 
0.5%
Other Punctuation 46
 
0.4%
Decimal Number 27
 
0.3%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
692
 
7.2%
476
 
4.9%
470
 
4.9%
465
 
4.8%
464
 
4.8%
359
 
3.7%
349
 
3.6%
290
 
3.0%
236
 
2.4%
233
 
2.4%
Other values (382) 5605
58.1%
Lowercase Letter
ValueCountFrequency (%)
e 79
18.2%
n 66
15.2%
o 41
9.4%
g 40
9.2%
r 37
8.5%
a 34
7.8%
v 33
7.6%
c 26
 
6.0%
s 18
 
4.1%
l 15
 
3.4%
Other values (10) 46
10.6%
Uppercase Letter
ValueCountFrequency (%)
G 16
34.0%
E 9
19.1%
R 7
14.9%
N 3
 
6.4%
K 3
 
6.4%
S 3
 
6.4%
O 1
 
2.1%
V 1
 
2.1%
M 1
 
2.1%
T 1
 
2.1%
Other values (2) 2
 
4.3%
Other Punctuation
ValueCountFrequency (%)
? 25
54.3%
. 15
32.6%
, 5
 
10.9%
! 1
 
2.2%
Decimal Number
ValueCountFrequency (%)
0 15
55.6%
1 11
40.7%
2 1
 
3.7%
Space Separator
ValueCountFrequency (%)
239
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9639
92.4%
Latin 482
 
4.6%
Common 314
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
692
 
7.2%
476
 
4.9%
470
 
4.9%
465
 
4.8%
464
 
4.8%
359
 
3.7%
349
 
3.6%
290
 
3.0%
236
 
2.4%
233
 
2.4%
Other values (382) 5605
58.1%
Latin
ValueCountFrequency (%)
e 79
16.4%
n 66
13.7%
o 41
8.5%
g 40
8.3%
r 37
7.7%
a 34
 
7.1%
v 33
 
6.8%
c 26
 
5.4%
s 18
 
3.7%
G 16
 
3.3%
Other values (22) 92
19.1%
Common
ValueCountFrequency (%)
239
76.1%
? 25
 
8.0%
. 15
 
4.8%
0 15
 
4.8%
1 11
 
3.5%
, 5
 
1.6%
) 1
 
0.3%
( 1
 
0.3%
! 1
 
0.3%
2 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9632
92.3%
ASCII 796
 
7.6%
Compat Jamo 7
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
692
 
7.2%
476
 
4.9%
470
 
4.9%
465
 
4.8%
464
 
4.8%
359
 
3.7%
349
 
3.6%
290
 
3.0%
236
 
2.5%
233
 
2.4%
Other values (378) 5598
58.1%
ASCII
ValueCountFrequency (%)
239
30.0%
e 79
 
9.9%
n 66
 
8.3%
o 41
 
5.2%
g 40
 
5.0%
r 37
 
4.6%
a 34
 
4.3%
v 33
 
4.1%
c 26
 
3.3%
? 25
 
3.1%
Other values (32) 176
22.1%
Compat Jamo
ValueCountFrequency (%)
3
42.9%
2
28.6%
1
 
14.3%
1
 
14.3%

q4_4
Text

MISSING 

Distinct26
Distinct (%)83.9%
Missing2969
Missing (%)99.0%
Memory size23.6 KiB
2023-12-13T08:27:03.558383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length6
Mean length4.0322581
Min length1

Characters and Unicode

Total characters125
Distinct characters63
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

Unique23 ?
Unique (%)74.2%

Sample

1st row지구
2nd row지배
3rd row친환경 추구
4th row녹색
5th row사회적기업
ValueCountFrequency (%)
지배구조 3
 
8.1%
탄소중립 3
 
8.1%
재생에너지 2
 
5.4%
책임 2
 
5.4%
비재무적 1
 
2.7%
1
 
2.7%
투명성 1
 
2.7%
투명 1
 
2.7%
윤리적 1
 
2.7%
도덕적 1
 
2.7%
Other values (21) 21
56.8%
2023-12-13T08:27:03.872686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
 
6.4%
6
 
4.8%
5
 
4.0%
5
 
4.0%
4
 
3.2%
4
 
3.2%
4
 
3.2%
4
 
3.2%
4
 
3.2%
3
 
2.4%
Other values (53) 78
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 119
95.2%
Space Separator 6
 
4.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8
 
6.7%
5
 
4.2%
5
 
4.2%
4
 
3.4%
4
 
3.4%
4
 
3.4%
4
 
3.4%
4
 
3.4%
3
 
2.5%
3
 
2.5%
Other values (52) 75
63.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 119
95.2%
Common 6
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8
 
6.7%
5
 
4.2%
5
 
4.2%
4
 
3.4%
4
 
3.4%
4
 
3.4%
4
 
3.4%
4
 
3.4%
3
 
2.5%
3
 
2.5%
Other values (52) 75
63.0%
Common
ValueCountFrequency (%)
6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 119
95.2%
ASCII 6
 
4.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
8
 
6.7%
5
 
4.2%
5
 
4.2%
4
 
3.4%
4
 
3.4%
4
 
3.4%
4
 
3.4%
4
 
3.4%
3
 
2.5%
3
 
2.5%
Other values (52) 75
63.0%
ASCII
ValueCountFrequency (%)
6
100.0%

q5
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1803 
5
757 
3
424 
2
 
14
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row5
5th row4

Common Values

ValueCountFrequency (%)
4 1803
60.1%
5 757
25.2%
3 424
 
14.1%
2 14
 
0.5%
1 2
 
0.1%

Length

2023-12-13T08:27:04.004689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:04.114091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1803
60.1%
5 757
25.2%
3 424
 
14.1%
2 14
 
0.5%
1 2
 
0.1%

q6
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1490 
3
993 
5
292 
2
190 
1
 
35

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 1490
49.7%
3 993
33.1%
5 292
 
9.7%
2 190
 
6.3%
1 35
 
1.2%

Length

2023-12-13T08:27:04.221153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:04.318268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1490
49.7%
3 993
33.1%
5 292
 
9.7%
2 190
 
6.3%
1 35
 
1.2%

q7
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1657 
3
824 
5
340 
2
 
158
1
 
21

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row3
5th row4

Common Values

ValueCountFrequency (%)
4 1657
55.2%
3 824
27.5%
5 340
 
11.3%
2 158
 
5.3%
1 21
 
0.7%

Length

2023-12-13T08:27:04.644508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:04.736209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1657
55.2%
3 824
27.5%
5 340
 
11.3%
2 158
 
5.3%
1 21
 
0.7%

q8
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1992 
3
539 
5
393 
2
 
68
1
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 1992
66.4%
3 539
 
18.0%
5 393
 
13.1%
2 68
 
2.3%
1 8
 
0.3%

Length

2023-12-13T08:27:04.837281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:04.926717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1992
66.4%
3 539
 
18.0%
5 393
 
13.1%
2 68
 
2.3%
1 8
 
0.3%

q9
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1953 
3
574 
5
412 
2
 
56
1
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 1953
65.1%
3 574
 
19.1%
5 412
 
13.7%
2 56
 
1.9%
1 5
 
0.2%

Length

2023-12-13T08:27:05.019012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:05.113059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1953
65.1%
3 574
 
19.1%
5 412
 
13.7%
2 56
 
1.9%
1 5
 
0.2%

q10
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1570 
3
791 
5
455 
2
163 
1
 
21

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row5
4th row3
5th row3

Common Values

ValueCountFrequency (%)
4 1570
52.3%
3 791
26.4%
5 455
 
15.2%
2 163
 
5.4%
1 21
 
0.7%

Length

2023-12-13T08:27:05.242117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:05.337671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1570
52.3%
3 791
26.4%
5 455
 
15.2%
2 163
 
5.4%
1 21
 
0.7%

q11
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1435 
3
1036 
5
309 
2
191 
1
 
29

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row3
5th row4

Common Values

ValueCountFrequency (%)
4 1435
47.8%
3 1036
34.5%
5 309
 
10.3%
2 191
 
6.4%
1 29
 
1.0%

Length

2023-12-13T08:27:05.445466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:05.541099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1435
47.8%
3 1036
34.5%
5 309
 
10.3%
2 191
 
6.4%
1 29
 
1.0%

q12
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1321 
5
1320 
3
302 
2
 
49
1
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row5
4th row5
5th row4

Common Values

ValueCountFrequency (%)
4 1321
44.0%
5 1320
44.0%
3 302
 
10.1%
2 49
 
1.6%
1 8
 
0.3%

Length

2023-12-13T08:27:05.649353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:05.743011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1321
44.0%
5 1320
44.0%
3 302
 
10.1%
2 49
 
1.6%
1 8
 
0.3%

q13
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1632 
3
719 
5
553 
2
 
84
1
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row5
5th row4

Common Values

ValueCountFrequency (%)
4 1632
54.4%
3 719
24.0%
5 553
 
18.4%
2 84
 
2.8%
1 12
 
0.4%

Length

2023-12-13T08:27:05.837584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:05.923283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1632
54.4%
3 719
24.0%
5 553
 
18.4%
2 84
 
2.8%
1 12
 
0.4%

q14
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1213 
3
1158 
5
319 
2
267 
1
 
43

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row5
5th row4

Common Values

ValueCountFrequency (%)
4 1213
40.4%
3 1158
38.6%
5 319
 
10.6%
2 267
 
8.9%
1 43
 
1.4%

Length

2023-12-13T08:27:06.017053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:06.111238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1213
40.4%
3 1158
38.6%
5 319
 
10.6%
2 267
 
8.9%
1 43
 
1.4%

q15
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
3
1390 
4
903 
2
568 
5
 
85
1
 
54

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row4
3rd row4
4th row2
5th row4

Common Values

ValueCountFrequency (%)
3 1390
46.3%
4 903
30.1%
2 568
18.9%
5 85
 
2.8%
1 54
 
1.8%

Length

2023-12-13T08:27:06.232612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:06.367730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1390
46.3%
4 903
30.1%
2 568
18.9%
5 85
 
2.8%
1 54
 
1.8%

q16
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
3
1458 
4
748 
2
629 
5
 
87
1
 
78

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row1
5th row4

Common Values

ValueCountFrequency (%)
3 1458
48.6%
4 748
24.9%
2 629
21.0%
5 87
 
2.9%
1 78
 
2.6%

Length

2023-12-13T08:27:06.470906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:06.560344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1458
48.6%
4 748
24.9%
2 629
21.0%
5 87
 
2.9%
1 78
 
2.6%

q17
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
3
1496 
2
727 
4
582 
1
 
116
5
 
79

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row4
3rd row4
4th row2
5th row4

Common Values

ValueCountFrequency (%)
3 1496
49.9%
2 727
24.2%
4 582
 
19.4%
1 116
 
3.9%
5 79
 
2.6%

Length

2023-12-13T08:27:06.682762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:06.832602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1496
49.9%
2 727
24.2%
4 582
 
19.4%
1 116
 
3.9%
5 79
 
2.6%

q18
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1274 
3
1059 
2
452 
5
162 
1
 
53

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
4 1274
42.5%
3 1059
35.3%
2 452
 
15.1%
5 162
 
5.4%
1 53
 
1.8%

Length

2023-12-13T08:27:06.964917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:07.061848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1274
42.5%
3 1059
35.3%
2 452
 
15.1%
5 162
 
5.4%
1 53
 
1.8%

q19
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1673 
3
744 
5
450 
2
 
120
1
 
13

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row3
5th row3

Common Values

ValueCountFrequency (%)
4 1673
55.8%
3 744
24.8%
5 450
 
15.0%
2 120
 
4.0%
1 13
 
0.4%

Length

2023-12-13T08:27:07.169810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:07.263036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1673
55.8%
3 744
24.8%
5 450
 
15.0%
2 120
 
4.0%
1 13
 
0.4%

q20
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1811 
5
733 
3
403 
2
 
43
1
 
10

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row5
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 1811
60.4%
5 733
24.4%
3 403
 
13.4%
2 43
 
1.4%
1 10
 
0.3%

Length

2023-12-13T08:27:07.372342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:07.461899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1811
60.4%
5 733
24.4%
3 403
 
13.4%
2 43
 
1.4%
1 10
 
0.3%

q21
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1564 
3
774 
5
536 
2
 
109
1
 
17

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row4
3rd row5
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 1564
52.1%
3 774
25.8%
5 536
 
17.9%
2 109
 
3.6%
1 17
 
0.6%

Length

2023-12-13T08:27:07.583831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:07.684178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1564
52.1%
3 774
25.8%
5 536
 
17.9%
2 109
 
3.6%
1 17
 
0.6%

q22
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1554 
3
943 
5
350 
2
 
138
1
 
15

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row4
3rd row4
4th row3
5th row4

Common Values

ValueCountFrequency (%)
4 1554
51.8%
3 943
31.4%
5 350
 
11.7%
2 138
 
4.6%
1 15
 
0.5%

Length

2023-12-13T08:27:07.788274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:07.874223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1554
51.8%
3 943
31.4%
5 350
 
11.7%
2 138
 
4.6%
1 15
 
0.5%

q23
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1685 
3
681 
5
525 
2
 
95
1
 
14

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row4
3rd row5
4th row3
5th row4

Common Values

ValueCountFrequency (%)
4 1685
56.2%
3 681
22.7%
5 525
 
17.5%
2 95
 
3.2%
1 14
 
0.5%

Length

2023-12-13T08:27:07.975418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:08.076371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1685
56.2%
3 681
22.7%
5 525
 
17.5%
2 95
 
3.2%
1 14
 
0.5%

q24
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1593 
5
953 
3
401 
2
 
42
1
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row4
3rd row5
4th row5
5th row4

Common Values

ValueCountFrequency (%)
4 1593
53.1%
5 953
31.8%
3 401
 
13.4%
2 42
 
1.4%
1 11
 
0.4%

Length

2023-12-13T08:27:08.179826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:08.288846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1593
53.1%
5 953
31.8%
3 401
 
13.4%
2 42
 
1.4%
1 11
 
0.4%

q25
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1418 
3
874 
5
511 
2
165 
1
 
32

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 1418
47.3%
3 874
29.1%
5 511
 
17.0%
2 165
 
5.5%
1 32
 
1.1%

Length

2023-12-13T08:27:08.408291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:08.534493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1418
47.3%
3 874
29.1%
5 511
 
17.0%
2 165
 
5.5%
1 32
 
1.1%

q26_1
Text

Distinct957
Distinct (%)31.9%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
2023-12-13T08:27:08.830337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length420
Median length2
Mean length10.776667
Min length1

Characters and Unicode

Total characters32330
Distinct characters656
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique921 ?
Unique (%)30.7%

Sample

1st row없음
2nd row없음
3rd row없음
4th row국제적인 트렌드
5th row없음
ValueCountFrequency (%)
없음 1987
 
22.7%
기업의 88
 
1.0%
이미지 83
 
1.0%
사회적 74
 
0.8%
위해 66
 
0.8%
기업 56
 
0.6%
esg 54
 
0.6%
때문에 49
 
0.6%
45
 
0.5%
위해서 45
 
0.5%
Other values (3373) 6188
70.8%
2023-12-13T08:27:09.307978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5755
 
17.8%
2071
 
6.4%
2037
 
6.3%
757
 
2.3%
710
 
2.2%
506
 
1.6%
482
 
1.5%
472
 
1.5%
437
 
1.4%
434
 
1.3%
Other values (646) 18669
57.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25608
79.2%
Space Separator 5755
 
17.8%
Other Punctuation 442
 
1.4%
Uppercase Letter 305
 
0.9%
Lowercase Letter 134
 
0.4%
Control 34
 
0.1%
Decimal Number 20
 
0.1%
Close Punctuation 12
 
< 0.1%
Open Punctuation 12
 
< 0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2071
 
8.1%
2037
 
8.0%
757
 
3.0%
710
 
2.8%
506
 
2.0%
482
 
1.9%
472
 
1.8%
437
 
1.7%
434
 
1.7%
423
 
1.7%
Other values (593) 17279
67.5%
Lowercase Letter
ValueCountFrequency (%)
g 28
20.9%
e 28
20.9%
s 25
18.7%
d 9
 
6.7%
r 5
 
3.7%
n 5
 
3.7%
o 5
 
3.7%
k 4
 
3.0%
l 4
 
3.0%
i 3
 
2.2%
Other values (13) 18
13.4%
Other Punctuation
ValueCountFrequency (%)
. 299
67.6%
, 125
28.3%
? 12
 
2.7%
/ 2
 
0.5%
% 1
 
0.2%
; 1
 
0.2%
# 1
 
0.2%
& 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
E 100
32.8%
S 99
32.5%
G 97
31.8%
R 5
 
1.6%
P 1
 
0.3%
A 1
 
0.3%
C 1
 
0.3%
K 1
 
0.3%
Decimal Number
ValueCountFrequency (%)
0 6
30.0%
2 3
15.0%
9 3
15.0%
1 3
15.0%
4 2
 
10.0%
5 2
 
10.0%
7 1
 
5.0%
Math Symbol
ValueCountFrequency (%)
~ 4
80.0%
= 1
 
20.0%
Space Separator
ValueCountFrequency (%)
5755
100.0%
Control
ValueCountFrequency (%)
34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25608
79.2%
Common 6283
 
19.4%
Latin 439
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2071
 
8.1%
2037
 
8.0%
757
 
3.0%
710
 
2.8%
506
 
2.0%
482
 
1.9%
472
 
1.8%
437
 
1.7%
434
 
1.7%
423
 
1.7%
Other values (593) 17279
67.5%
Latin
ValueCountFrequency (%)
E 100
22.8%
S 99
22.6%
G 97
22.1%
g 28
 
6.4%
e 28
 
6.4%
s 25
 
5.7%
d 9
 
2.1%
r 5
 
1.1%
n 5
 
1.1%
o 5
 
1.1%
Other values (21) 38
 
8.7%
Common
ValueCountFrequency (%)
5755
91.6%
. 299
 
4.8%
, 125
 
2.0%
34
 
0.5%
) 12
 
0.2%
? 12
 
0.2%
( 12
 
0.2%
0 6
 
0.1%
~ 4
 
0.1%
- 3
 
< 0.1%
Other values (12) 21
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25596
79.2%
ASCII 6722
 
20.8%
Compat Jamo 12
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5755
85.6%
. 299
 
4.4%
, 125
 
1.9%
E 100
 
1.5%
S 99
 
1.5%
G 97
 
1.4%
34
 
0.5%
g 28
 
0.4%
e 28
 
0.4%
s 25
 
0.4%
Other values (43) 132
 
2.0%
Hangul
ValueCountFrequency (%)
2071
 
8.1%
2037
 
8.0%
757
 
3.0%
710
 
2.8%
506
 
2.0%
482
 
1.9%
472
 
1.8%
437
 
1.7%
434
 
1.7%
423
 
1.7%
Other values (589) 17267
67.5%
Compat Jamo
ValueCountFrequency (%)
6
50.0%
3
25.0%
2
 
16.7%
1
 
8.3%

q27_1
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0803333
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.5 KiB
2023-12-13T08:27:09.429764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q37
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.3734133
Coefficient of variation (CV)0.58167144
Kurtosis-1.2606464
Mean4.0803333
Median Absolute Deviation (MAD)2
Skewness0.33936772
Sum12241
Variance5.6330909
MonotonicityNot monotonic
2023-12-13T08:27:09.566427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 529
17.6%
7 515
17.2%
3 492
16.4%
1 481
16.0%
2 472
15.7%
8 311
10.4%
6 131
 
4.4%
5 69
 
2.3%
ValueCountFrequency (%)
1 481
16.0%
2 472
15.7%
3 492
16.4%
4 529
17.6%
5 69
 
2.3%
6 131
 
4.4%
7 515
17.2%
8 311
10.4%
ValueCountFrequency (%)
8 311
10.4%
7 515
17.2%
6 131
 
4.4%
5 69
 
2.3%
4 529
17.6%
3 492
16.4%
2 472
15.7%
1 481
16.0%

q27_2
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5513333
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.5 KiB
2023-12-13T08:27:09.667657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q37
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.1569073
Coefficient of variation (CV)0.47390668
Kurtosis-1.1908972
Mean4.5513333
Median Absolute Deviation (MAD)2
Skewness0.072172683
Sum13654
Variance4.652249
MonotonicityNot monotonic
2023-12-13T08:27:09.768774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 541
18.0%
4 519
17.3%
7 484
16.1%
6 346
11.5%
2 336
11.2%
8 303
10.1%
1 240
8.0%
5 231
7.7%
ValueCountFrequency (%)
1 240
8.0%
2 336
11.2%
3 541
18.0%
4 519
17.3%
5 231
7.7%
6 346
11.5%
7 484
16.1%
8 303
10.1%
ValueCountFrequency (%)
8 303
10.1%
7 484
16.1%
6 346
11.5%
5 231
7.7%
4 519
17.3%
3 541
18.0%
2 336
11.2%
1 240
8.0%

q27_3
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.759
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.5 KiB
2023-12-13T08:27:09.872995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q37
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.2117601
Coefficient of variation (CV)0.46475313
Kurtosis-1.1727768
Mean4.759
Median Absolute Deviation (MAD)2
Skewness-0.084130103
Sum14277
Variance4.891883
MonotonicityNot monotonic
2023-12-13T08:27:09.978761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 481
16.0%
4 469
15.6%
7 446
14.9%
8 410
13.7%
6 409
13.6%
1 275
9.2%
5 269
9.0%
2 241
8.0%
ValueCountFrequency (%)
1 275
9.2%
2 241
8.0%
3 481
16.0%
4 469
15.6%
5 269
9.0%
6 409
13.6%
7 446
14.9%
8 410
13.7%
ValueCountFrequency (%)
8 410
13.7%
7 446
14.9%
6 409
13.6%
5 269
9.0%
4 469
15.6%
3 481
16.0%
2 241
8.0%
1 275
9.2%

q28
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1701 
5
749 
3
489 
2
 
50
1
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row4
3rd row4
4th row5
5th row4

Common Values

ValueCountFrequency (%)
4 1701
56.7%
5 749
25.0%
3 489
 
16.3%
2 50
 
1.7%
1 11
 
0.4%

Length

2023-12-13T08:27:10.185520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:10.318063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1701
56.7%
5 749
25.0%
3 489
 
16.3%
2 50
 
1.7%
1 11
 
0.4%

q29
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1629 
5
716 
3
571 
2
 
78
1
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row5
5th row4

Common Values

ValueCountFrequency (%)
4 1629
54.3%
5 716
23.9%
3 571
 
19.0%
2 78
 
2.6%
1 6
 
0.2%

Length

2023-12-13T08:27:10.425775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:10.529012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1629
54.3%
5 716
23.9%
3 571
 
19.0%
2 78
 
2.6%
1 6
 
0.2%

q30
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1732 
5
818 
3
401 
2
 
46
1
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row4
3rd row4
4th row5
5th row4

Common Values

ValueCountFrequency (%)
4 1732
57.7%
5 818
27.3%
3 401
 
13.4%
2 46
 
1.5%
1 3
 
0.1%

Length

2023-12-13T08:27:10.642670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:10.759929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1732
57.7%
5 818
27.3%
3 401
 
13.4%
2 46
 
1.5%
1 3
 
0.1%

q31
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
3
1581 
4
723 
2
569 
1
 
73
5
 
54

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 1581
52.7%
4 723
24.1%
2 569
 
19.0%
1 73
 
2.4%
5 54
 
1.8%

Length

2023-12-13T08:27:10.878389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:10.990691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1581
52.7%
4 723
24.1%
2 569
 
19.0%
1 73
 
2.4%
5 54
 
1.8%

q32
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
3
1373 
2
773 
4
647 
1
139 
5
 
68

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row3
3rd row3
4th row1
5th row3

Common Values

ValueCountFrequency (%)
3 1373
45.8%
2 773
25.8%
4 647
21.6%
1 139
 
4.6%
5 68
 
2.3%

Length

2023-12-13T08:27:11.115589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:11.224982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1373
45.8%
2 773
25.8%
4 647
21.6%
1 139
 
4.6%
5 68
 
2.3%

q33
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
3
1549 
2
717 
4
565 
1
 
93
5
 
76

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row3
4th row2
5th row4

Common Values

ValueCountFrequency (%)
3 1549
51.6%
2 717
23.9%
4 565
 
18.8%
1 93
 
3.1%
5 76
 
2.5%

Length

2023-12-13T08:27:11.357271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:11.469308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1549
51.6%
2 717
23.9%
4 565
 
18.8%
1 93
 
3.1%
5 76
 
2.5%

q34
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
3
1573 
4
736 
2
525 
1
 
84
5
 
82

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row4
3rd row4
4th row3
5th row4

Common Values

ValueCountFrequency (%)
3 1573
52.4%
4 736
24.5%
2 525
 
17.5%
1 84
 
2.8%
5 82
 
2.7%

Length

2023-12-13T08:27:11.597384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:11.700062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1573
52.4%
4 736
24.5%
2 525
 
17.5%
1 84
 
2.8%
5 82
 
2.7%

q35
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1477 
3
985 
5
340 
2
175 
1
 
23

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row3
3rd row4
4th row5
5th row3

Common Values

ValueCountFrequency (%)
4 1477
49.2%
3 985
32.8%
5 340
 
11.3%
2 175
 
5.8%
1 23
 
0.8%

Length

2023-12-13T08:27:11.826249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:11.952709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1477
49.2%
3 985
32.8%
5 340
 
11.3%
2 175
 
5.8%
1 23
 
0.8%

q36
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
3
1491 
4
733 
2
642 
1
 
82
5
 
52

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 1491
49.7%
4 733
24.4%
2 642
21.4%
1 82
 
2.7%
5 52
 
1.7%

Length

2023-12-13T08:27:12.098296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:12.202685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1491
49.7%
4 733
24.4%
2 642
21.4%
1 82
 
2.7%
5 52
 
1.7%

q37
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
3
1455 
2
734 
4
620 
1
 
112
5
 
79

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row4
3rd row4
4th row1
5th row3

Common Values

ValueCountFrequency (%)
3 1455
48.5%
2 734
24.5%
4 620
20.7%
1 112
 
3.7%
5 79
 
2.6%

Length

2023-12-13T08:27:12.312339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:12.428755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1455
48.5%
2 734
24.5%
4 620
20.7%
1 112
 
3.7%
5 79
 
2.6%

q38
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
3
1496 
2
680 
4
637 
1
 
99
5
 
88

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row4
3rd row4
4th row2
5th row3

Common Values

ValueCountFrequency (%)
3 1496
49.9%
2 680
22.7%
4 637
21.2%
1 99
 
3.3%
5 88
 
2.9%

Length

2023-12-13T08:27:12.559388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:12.678331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1496
49.9%
2 680
22.7%
4 637
21.2%
1 99
 
3.3%
5 88
 
2.9%

q39
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
3
1552 
4
759 
2
503 
1
 
97
5
 
89

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row2
5th row4

Common Values

ValueCountFrequency (%)
3 1552
51.7%
4 759
25.3%
2 503
 
16.8%
1 97
 
3.2%
5 89
 
3.0%

Length

2023-12-13T08:27:13.153643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:13.287156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1552
51.7%
4 759
25.3%
2 503
 
16.8%
1 97
 
3.2%
5 89
 
3.0%

q40
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1238 
3
1189 
2
271 
5
260 
1
 
42

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row4
4th row4
5th row3

Common Values

ValueCountFrequency (%)
4 1238
41.3%
3 1189
39.6%
2 271
 
9.0%
5 260
 
8.7%
1 42
 
1.4%

Length

2023-12-13T08:27:13.405712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:13.500346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1238
41.3%
3 1189
39.6%
2 271
 
9.0%
5 260
 
8.7%
1 42
 
1.4%

q41
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1773 
5
678 
3
489 
2
 
54
1
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 1773
59.1%
5 678
 
22.6%
3 489
 
16.3%
2 54
 
1.8%
1 6
 
0.2%

Length

2023-12-13T08:27:13.610743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:13.718128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1773
59.1%
5 678
 
22.6%
3 489
 
16.3%
2 54
 
1.8%
1 6
 
0.2%

q42
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1751 
5
747 
3
439 
2
 
58
1
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row3
3rd row4
4th row5
5th row4

Common Values

ValueCountFrequency (%)
4 1751
58.4%
5 747
24.9%
3 439
 
14.6%
2 58
 
1.9%
1 5
 
0.2%

Length

2023-12-13T08:27:13.828673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:13.922070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1751
58.4%
5 747
24.9%
3 439
 
14.6%
2 58
 
1.9%
1 5
 
0.2%

q43
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1687 
3
681 
5
566 
2
 
57
1
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row5
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 1687
56.2%
3 681
22.7%
5 566
 
18.9%
2 57
 
1.9%
1 9
 
0.3%

Length

2023-12-13T08:27:14.016622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:14.100166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1687
56.2%
3 681
22.7%
5 566
 
18.9%
2 57
 
1.9%
1 9
 
0.3%

q44
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1292 
5
1206 
3
442 
2
 
49
1
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row3
3rd row4
4th row5
5th row4

Common Values

ValueCountFrequency (%)
4 1292
43.1%
5 1206
40.2%
3 442
 
14.7%
2 49
 
1.6%
1 11
 
0.4%

Length

2023-12-13T08:27:14.196671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:14.280580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1292
43.1%
5 1206
40.2%
3 442
 
14.7%
2 49
 
1.6%
1 11
 
0.4%

q45
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1598 
5
934 
3
435 
2
 
26
1
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row4
3rd row4
4th row5
5th row4

Common Values

ValueCountFrequency (%)
4 1598
53.3%
5 934
31.1%
3 435
 
14.5%
2 26
 
0.9%
1 7
 
0.2%

Length

2023-12-13T08:27:14.371326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:14.455216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1598
53.3%
5 934
31.1%
3 435
 
14.5%
2 26
 
0.9%
1 7
 
0.2%

q46
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1536 
3
765 
5
597 
2
 
89
1
 
13

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 1536
51.2%
3 765
25.5%
5 597
 
19.9%
2 89
 
3.0%
1 13
 
0.4%

Length

2023-12-13T08:27:14.554154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:14.643803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1536
51.2%
3 765
25.5%
5 597
 
19.9%
2 89
 
3.0%
1 13
 
0.4%

q47
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1476 
3
887 
5
503 
2
 
113
1
 
21

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 1476
49.2%
3 887
29.6%
5 503
 
16.8%
2 113
 
3.8%
1 21
 
0.7%

Length

2023-12-13T08:27:14.740865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:14.824626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1476
49.2%
3 887
29.6%
5 503
 
16.8%
2 113
 
3.8%
1 21
 
0.7%

q48_1
Real number (ℝ)

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5213333
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.5 KiB
2023-12-13T08:27:14.904793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.6378153
Coefficient of variation (CV)0.64958302
Kurtosis-0.77958961
Mean2.5213333
Median Absolute Deviation (MAD)1
Skewness0.69941708
Sum7564
Variance2.682439
MonotonicityNot monotonic
2023-12-13T08:27:14.985438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 1224
40.8%
2 599
20.0%
4 448
 
14.9%
5 426
 
14.2%
3 212
 
7.1%
6 53
 
1.8%
7 38
 
1.3%
ValueCountFrequency (%)
1 1224
40.8%
2 599
20.0%
3 212
 
7.1%
4 448
 
14.9%
5 426
 
14.2%
6 53
 
1.8%
7 38
 
1.3%
ValueCountFrequency (%)
7 38
 
1.3%
6 53
 
1.8%
5 426
 
14.2%
4 448
 
14.9%
3 212
 
7.1%
2 599
20.0%
1 1224
40.8%

q48_2
Real number (ℝ)

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.998
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.5 KiB
2023-12-13T08:27:15.065987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.437133
Coefficient of variation (CV)0.47936389
Kurtosis-0.55475898
Mean2.998
Median Absolute Deviation (MAD)1
Skewness0.44057084
Sum8994
Variance2.0653511
MonotonicityNot monotonic
2023-12-13T08:27:15.145912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 963
32.1%
4 704
23.5%
1 433
14.4%
3 419
14.0%
5 367
 
12.2%
6 71
 
2.4%
7 43
 
1.4%
ValueCountFrequency (%)
1 433
14.4%
2 963
32.1%
3 419
14.0%
4 704
23.5%
5 367
 
12.2%
6 71
 
2.4%
7 43
 
1.4%
ValueCountFrequency (%)
7 43
 
1.4%
6 71
 
2.4%
5 367
 
12.2%
4 704
23.5%
3 419
14.0%
2 963
32.1%
1 433
14.4%

q48_3
Real number (ℝ)

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4506667
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.5 KiB
2023-12-13T08:27:15.225013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q34
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.606163
Coefficient of variation (CV)0.46546454
Kurtosis-0.61611675
Mean3.4506667
Median Absolute Deviation (MAD)1
Skewness0.17984949
Sum10352
Variance2.5797595
MonotonicityNot monotonic
2023-12-13T08:27:15.312091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 837
27.9%
2 533
17.8%
5 477
15.9%
3 458
15.3%
1 425
14.2%
6 136
 
4.5%
7 134
 
4.5%
ValueCountFrequency (%)
1 425
14.2%
2 533
17.8%
3 458
15.3%
4 837
27.9%
5 477
15.9%
6 136
 
4.5%
7 134
 
4.5%
ValueCountFrequency (%)
7 134
 
4.5%
6 136
 
4.5%
5 477
15.9%
4 837
27.9%
3 458
15.3%
2 533
17.8%
1 425
14.2%

q49
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1590 
5
897 
3
463 
2
 
42
1
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row4
4th row5
5th row4

Common Values

ValueCountFrequency (%)
4 1590
53.0%
5 897
29.9%
3 463
 
15.4%
2 42
 
1.4%
1 8
 
0.3%

Length

2023-12-13T08:27:15.435262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:15.522497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1590
53.0%
5 897
29.9%
3 463
 
15.4%
2 42
 
1.4%
1 8
 
0.3%

q50
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1574 
5
952 
3
436 
2
 
35
1
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row3
3rd row5
4th row5
5th row4

Common Values

ValueCountFrequency (%)
4 1574
52.5%
5 952
31.7%
3 436
 
14.5%
2 35
 
1.2%
1 3
 
0.1%

Length

2023-12-13T08:27:15.610423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:15.693193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1574
52.5%
5 952
31.7%
3 436
 
14.5%
2 35
 
1.2%
1 3
 
0.1%

q51
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1310 
5
1267 
3
392 
2
 
29
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row4
4th row5
5th row4

Common Values

ValueCountFrequency (%)
4 1310
43.7%
5 1267
42.2%
3 392
 
13.1%
2 29
 
1.0%
1 2
 
0.1%

Length

2023-12-13T08:27:15.786255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:15.872226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1310
43.7%
5 1267
42.2%
3 392
 
13.1%
2 29
 
1.0%
1 2
 
0.1%

q52
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1585 
5
873 
3
493 
2
 
45
1
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 1585
52.8%
5 873
29.1%
3 493
 
16.4%
2 45
 
1.5%
1 4
 
0.1%

Length

2023-12-13T08:27:15.972373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:16.056869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1585
52.8%
5 873
29.1%
3 493
 
16.4%
2 45
 
1.5%
1 4
 
0.1%

q53
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1367 
5
1085 
3
486 
2
 
52
1
 
10

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 1367
45.6%
5 1085
36.2%
3 486
 
16.2%
2 52
 
1.7%
1 10
 
0.3%

Length

2023-12-13T08:27:16.143681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:16.227904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1367
45.6%
5 1085
36.2%
3 486
 
16.2%
2 52
 
1.7%
1 10
 
0.3%

q54
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1307 
3
1188 
5
348 
2
132 
1
 
25

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row4
3rd row4
4th row3
5th row4

Common Values

ValueCountFrequency (%)
4 1307
43.6%
3 1188
39.6%
5 348
 
11.6%
2 132
 
4.4%
1 25
 
0.8%

Length

2023-12-13T08:27:16.317134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:16.399657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1307
43.6%
3 1188
39.6%
5 348
 
11.6%
2 132
 
4.4%
1 25
 
0.8%

q55
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1690 
3
638 
5
598 
2
 
62
1
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row5
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 1690
56.3%
3 638
 
21.3%
5 598
 
19.9%
2 62
 
2.1%
1 12
 
0.4%

Length

2023-12-13T08:27:16.522690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:16.609461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1690
56.3%
3 638
 
21.3%
5 598
 
19.9%
2 62
 
2.1%
1 12
 
0.4%

q56
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1487 
5
950 
3
480 
2
 
76
1
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row3
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 1487
49.6%
5 950
31.7%
3 480
 
16.0%
2 76
 
2.5%
1 7
 
0.2%

Length

2023-12-13T08:27:16.705467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:16.812295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1487
49.6%
5 950
31.7%
3 480
 
16.0%
2 76
 
2.5%
1 7
 
0.2%

q57
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1646 
5
665 
3
615 
2
 
66
1
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row4
3rd row5
4th row5
5th row4

Common Values

ValueCountFrequency (%)
4 1646
54.9%
5 665
22.2%
3 615
 
20.5%
2 66
 
2.2%
1 8
 
0.3%

Length

2023-12-13T08:27:16.929659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:17.070581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1646
54.9%
5 665
22.2%
3 615
 
20.5%
2 66
 
2.2%
1 8
 
0.3%

q58
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1458 
5
968 
3
512 
2
 
57
1
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row4
3rd row4
4th row5
5th row4

Common Values

ValueCountFrequency (%)
4 1458
48.6%
5 968
32.3%
3 512
 
17.1%
2 57
 
1.9%
1 5
 
0.2%

Length

2023-12-13T08:27:17.199101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:17.292353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1458
48.6%
5 968
32.3%
3 512
 
17.1%
2 57
 
1.9%
1 5
 
0.2%

q59_1
Real number (ℝ)

Distinct10
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.765
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.5 KiB
2023-12-13T08:27:17.391229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q36
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.7999503
Coefficient of variation (CV)0.74367869
Kurtosis-0.48450012
Mean3.765
Median Absolute Deviation (MAD)2
Skewness0.8878308
Sum11295
Variance7.8397216
MonotonicityNot monotonic
2023-12-13T08:27:17.482978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 790
26.3%
3 696
23.2%
2 447
14.9%
8 255
 
8.5%
7 226
 
7.5%
10 174
 
5.8%
4 165
 
5.5%
5 146
 
4.9%
9 55
 
1.8%
6 46
 
1.5%
ValueCountFrequency (%)
1 790
26.3%
2 447
14.9%
3 696
23.2%
4 165
 
5.5%
5 146
 
4.9%
6 46
 
1.5%
7 226
 
7.5%
8 255
 
8.5%
9 55
 
1.8%
10 174
 
5.8%
ValueCountFrequency (%)
10 174
 
5.8%
9 55
 
1.8%
8 255
 
8.5%
7 226
 
7.5%
6 46
 
1.5%
5 146
 
4.9%
4 165
 
5.5%
3 696
23.2%
2 447
14.9%
1 790
26.3%

q59_2
Real number (ℝ)

Distinct10
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.463
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.5 KiB
2023-12-13T08:27:17.579496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q37
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.8192103
Coefficient of variation (CV)0.63168504
Kurtosis-0.9745922
Mean4.463
Median Absolute Deviation (MAD)2
Skewness0.58825123
Sum13389
Variance7.947947
MonotonicityNot monotonic
2023-12-13T08:27:17.669408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
3 624
20.8%
2 551
18.4%
1 370
12.3%
8 297
9.9%
4 262
8.7%
5 233
 
7.8%
7 225
 
7.5%
10 197
 
6.6%
9 155
 
5.2%
6 86
 
2.9%
ValueCountFrequency (%)
1 370
12.3%
2 551
18.4%
3 624
20.8%
4 262
8.7%
5 233
 
7.8%
6 86
 
2.9%
7 225
 
7.5%
8 297
9.9%
9 155
 
5.2%
10 197
 
6.6%
ValueCountFrequency (%)
10 197
 
6.6%
9 155
 
5.2%
8 297
9.9%
7 225
 
7.5%
6 86
 
2.9%
5 233
 
7.8%
4 262
8.7%
3 624
20.8%
2 551
18.4%
1 370
12.3%

q59_3
Real number (ℝ)

Distinct10
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.207
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.5 KiB
2023-12-13T08:27:17.759445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q38
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.9952977
Coefficient of variation (CV)0.57524442
Kurtosis-1.3523836
Mean5.207
Median Absolute Deviation (MAD)3
Skewness0.16689387
Sum15621
Variance8.9718083
MonotonicityNot monotonic
2023-12-13T08:27:17.851388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
3 436
14.5%
1 356
11.9%
2 352
11.7%
8 336
11.2%
7 326
10.9%
4 309
10.3%
10 306
10.2%
9 254
8.5%
5 249
8.3%
6 76
 
2.5%
ValueCountFrequency (%)
1 356
11.9%
2 352
11.7%
3 436
14.5%
4 309
10.3%
5 249
8.3%
6 76
 
2.5%
7 326
10.9%
8 336
11.2%
9 254
8.5%
10 306
10.2%
ValueCountFrequency (%)
10 306
10.2%
9 254
8.5%
8 336
11.2%
7 326
10.9%
6 76
 
2.5%
5 249
8.3%
4 309
10.3%
3 436
14.5%
2 352
11.7%
1 356
11.9%

q60
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1271 
5
1220 
3
433 
2
 
58
1
 
18

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row4
3rd row4
4th row5
5th row4

Common Values

ValueCountFrequency (%)
4 1271
42.4%
5 1220
40.7%
3 433
 
14.4%
2 58
 
1.9%
1 18
 
0.6%

Length

2023-12-13T08:27:17.948613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:18.031757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1271
42.4%
5 1220
40.7%
3 433
 
14.4%
2 58
 
1.9%
1 18
 
0.6%

q61
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1359 
5
1248 
3
351 
2
 
34
1
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 1359
45.3%
5 1248
41.6%
3 351
 
11.7%
2 34
 
1.1%
1 8
 
0.3%

Length

2023-12-13T08:27:18.123331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:18.205993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1359
45.3%
5 1248
41.6%
3 351
 
11.7%
2 34
 
1.1%
1 8
 
0.3%

q62
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1507 
5
939 
3
495 
2
 
49
1
 
10

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row3
3rd row5
4th row5
5th row4

Common Values

ValueCountFrequency (%)
4 1507
50.2%
5 939
31.3%
3 495
 
16.5%
2 49
 
1.6%
1 10
 
0.3%

Length

2023-12-13T08:27:18.297473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:18.385401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1507
50.2%
5 939
31.3%
3 495
 
16.5%
2 49
 
1.6%
1 10
 
0.3%

q63
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1540 
5
777 
3
612 
2
 
60
1
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row4
4th row3
5th row4

Common Values

ValueCountFrequency (%)
4 1540
51.3%
5 777
25.9%
3 612
 
20.4%
2 60
 
2.0%
1 11
 
0.4%

Length

2023-12-13T08:27:18.502244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:18.610316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1540
51.3%
5 777
25.9%
3 612
 
20.4%
2 60
 
2.0%
1 11
 
0.4%

q64
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1372 
5
1024 
3
542 
2
 
57
1
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 1372
45.7%
5 1024
34.1%
3 542
 
18.1%
2 57
 
1.9%
1 5
 
0.2%

Length

2023-12-13T08:27:18.698812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:18.789374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1372
45.7%
5 1024
34.1%
3 542
 
18.1%
2 57
 
1.9%
1 5
 
0.2%

q65_1
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
2
1192 
1
970 
3
453 
5
232 
4
153 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row4
3rd row2
4th row1
5th row2

Common Values

ValueCountFrequency (%)
2 1192
39.7%
1 970
32.3%
3 453
 
15.1%
5 232
 
7.7%
4 153
 
5.1%

Length

2023-12-13T08:27:18.881325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:18.967960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1192
39.7%
1 970
32.3%
3 453
 
15.1%
5 232
 
7.7%
4 153
 
5.1%

q65_2
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
2
841 
3
775 
1
536 
5
466 
4
382 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row3
3rd row1
4th row2
5th row3

Common Values

ValueCountFrequency (%)
2 841
28.0%
3 775
25.8%
1 536
17.9%
5 466
15.5%
4 382
12.7%

Length

2023-12-13T08:27:19.060710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:19.147709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 841
28.0%
3 775
25.8%
1 536
17.9%
5 466
15.5%
4 382
12.7%

q65_3
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
5
818 
3
730 
1
568 
2
444 
4
440 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
5 818
27.3%
3 730
24.3%
1 568
18.9%
2 444
14.8%
4 440
14.7%

Length

2023-12-13T08:27:19.259095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:19.354456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 818
27.3%
3 730
24.3%
1 568
18.9%
2 444
14.8%
4 440
14.7%

q66
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1576 
3
986 
2
225 
5
187 
1
 
26

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row4
3rd row4
4th row3
5th row4

Common Values

ValueCountFrequency (%)
4 1576
52.5%
3 986
32.9%
2 225
 
7.5%
5 187
 
6.2%
1 26
 
0.9%

Length

2023-12-13T08:27:19.483810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:19.620768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1576
52.5%
3 986
32.9%
2 225
 
7.5%
5 187
 
6.2%
1 26
 
0.9%

q67_1
Text

MISSING 

Distinct222
Distinct (%)88.4%
Missing2749
Missing (%)91.6%
Memory size23.6 KiB
2023-12-13T08:27:19.941268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length271
Median length73
Mean length25.007968
Min length2

Characters and Unicode

Total characters6277
Distinct characters431
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique216 ?
Unique (%)86.1%

Sample

1st row정확한 정보 제공이 강화되어야 한다.
2nd row인반소비자들이 기업이 무엇을 하는지 어떻게 알아야 하는지 모르겠다.
3rd row구체적인 예시가 없어 어떤 형식으로 하라는 것인지 모르겠음.
4th row생각하지 않음
5th row정부 주도하의 정기적, 부정기적 감찰과 일반 소비자단체들의 실사등이 동반되어야함
ValueCountFrequency (%)
모름 13
 
0.9%
13
 
0.9%
없음 12
 
0.8%
기업의 12
 
0.8%
11
 
0.7%
11
 
0.7%
대한 10
 
0.7%
한다 10
 
0.7%
너무 10
 
0.7%
9
 
0.6%
Other values (1069) 1402
92.7%
2023-12-13T08:27:20.442204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1265
 
20.2%
186
 
3.0%
153
 
2.4%
121
 
1.9%
106
 
1.7%
103
 
1.6%
101
 
1.6%
92
 
1.5%
92
 
1.5%
90
 
1.4%
Other values (421) 3968
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4886
77.8%
Space Separator 1265
 
20.2%
Other Punctuation 103
 
1.6%
Decimal Number 13
 
0.2%
Control 4
 
0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
186
 
3.8%
153
 
3.1%
121
 
2.5%
106
 
2.2%
103
 
2.1%
101
 
2.1%
92
 
1.9%
92
 
1.9%
90
 
1.8%
79
 
1.6%
Other values (405) 3763
77.0%
Other Punctuation
ValueCountFrequency (%)
. 74
71.8%
, 25
 
24.3%
? 2
 
1.9%
/ 1
 
1.0%
% 1
 
1.0%
Decimal Number
ValueCountFrequency (%)
5 3
23.1%
0 3
23.1%
1 3
23.1%
2 2
15.4%
3 2
15.4%
Math Symbol
ValueCountFrequency (%)
= 1
50.0%
~ 1
50.0%
Space Separator
ValueCountFrequency (%)
1265
100.0%
Control
ValueCountFrequency (%)
4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4886
77.8%
Common 1391
 
22.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
186
 
3.8%
153
 
3.1%
121
 
2.5%
106
 
2.2%
103
 
2.1%
101
 
2.1%
92
 
1.9%
92
 
1.9%
90
 
1.8%
79
 
1.6%
Other values (405) 3763
77.0%
Common
ValueCountFrequency (%)
1265
90.9%
. 74
 
5.3%
, 25
 
1.8%
4
 
0.3%
5 3
 
0.2%
0 3
 
0.2%
1 3
 
0.2%
) 2
 
0.1%
( 2
 
0.1%
2 2
 
0.1%
Other values (6) 8
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4884
77.8%
ASCII 1391
 
22.2%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1265
90.9%
. 74
 
5.3%
, 25
 
1.8%
4
 
0.3%
5 3
 
0.2%
0 3
 
0.2%
1 3
 
0.2%
) 2
 
0.1%
( 2
 
0.1%
2 2
 
0.1%
Other values (6) 8
 
0.6%
Hangul
ValueCountFrequency (%)
186
 
3.8%
153
 
3.1%
121
 
2.5%
106
 
2.2%
103
 
2.1%
101
 
2.1%
92
 
1.9%
92
 
1.9%
90
 
1.8%
79
 
1.6%
Other values (403) 3761
77.0%
Compat Jamo
ValueCountFrequency (%)
1
50.0%
1
50.0%

q68
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1589 
3
969 
5
250 
2
171 
1
 
21

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row3
3rd row5
4th row2
5th row4

Common Values

ValueCountFrequency (%)
4 1589
53.0%
3 969
32.3%
5 250
 
8.3%
2 171
 
5.7%
1 21
 
0.7%

Length

2023-12-13T08:27:21.011693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:21.157527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1589
53.0%
3 969
32.3%
5 250
 
8.3%
2 171
 
5.7%
1 21
 
0.7%

q69_1
Text

MISSING 

Distinct172
Distinct (%)89.6%
Missing2808
Missing (%)93.6%
Memory size23.6 KiB
2023-12-13T08:27:21.480787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length249
Median length71
Mean length30.895833
Min length1

Characters and Unicode

Total characters5932
Distinct characters417
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique167 ?
Unique (%)87.0%

Sample

1st row법규이행 및 준수에 대한 상시적인 관리 위반시 법대로 처벌
2nd row가이드라인대로 해서 소비자에게 무슨 이익을 가져다 주는지 모르겠음. 전부 다 그냥 정부나 기업 좋자고 하는거 같음.
3rd row기업위주로 작성된거 같다
4th row합리적인 가격책정도 측정 대상이면 좋겠다
5th row실질적이지않음
ValueCountFrequency (%)
소비자의 24
 
1.7%
17
 
1.2%
같다 16
 
1.1%
소비자 13
 
0.9%
없음 12
 
0.8%
대한 11
 
0.8%
10
 
0.7%
모르겠다 9
 
0.6%
8
 
0.6%
소비자가 8
 
0.6%
Other values (962) 1303
91.1%
2023-12-13T08:27:22.007228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1238
 
20.9%
176
 
3.0%
135
 
2.3%
117
 
2.0%
113
 
1.9%
105
 
1.8%
98
 
1.7%
98
 
1.7%
80
 
1.3%
77
 
1.3%
Other values (407) 3695
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4566
77.0%
Space Separator 1238
 
20.9%
Other Punctuation 98
 
1.7%
Uppercase Letter 9
 
0.2%
Control 6
 
0.1%
Lowercase Letter 6
 
0.1%
Decimal Number 5
 
0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
176
 
3.9%
135
 
3.0%
117
 
2.6%
113
 
2.5%
105
 
2.3%
98
 
2.1%
98
 
2.1%
80
 
1.8%
77
 
1.7%
76
 
1.7%
Other values (390) 3491
76.5%
Other Punctuation
ValueCountFrequency (%)
. 75
76.5%
, 15
 
15.3%
? 5
 
5.1%
/ 2
 
2.0%
: 1
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
S 3
33.3%
E 3
33.3%
G 3
33.3%
Lowercase Letter
ValueCountFrequency (%)
g 2
33.3%
s 2
33.3%
e 2
33.3%
Decimal Number
ValueCountFrequency (%)
1 3
60.0%
5 2
40.0%
Space Separator
ValueCountFrequency (%)
1238
100.0%
Control
ValueCountFrequency (%)
6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4566
77.0%
Common 1351
 
22.8%
Latin 15
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
176
 
3.9%
135
 
3.0%
117
 
2.6%
113
 
2.5%
105
 
2.3%
98
 
2.1%
98
 
2.1%
80
 
1.8%
77
 
1.7%
76
 
1.7%
Other values (390) 3491
76.5%
Common
ValueCountFrequency (%)
1238
91.6%
. 75
 
5.6%
, 15
 
1.1%
6
 
0.4%
? 5
 
0.4%
1 3
 
0.2%
/ 2
 
0.1%
5 2
 
0.1%
( 2
 
0.1%
) 2
 
0.1%
Latin
ValueCountFrequency (%)
S 3
20.0%
E 3
20.0%
G 3
20.0%
g 2
13.3%
s 2
13.3%
e 2
13.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4565
77.0%
ASCII 1366
 
23.0%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1238
90.6%
. 75
 
5.5%
, 15
 
1.1%
6
 
0.4%
? 5
 
0.4%
S 3
 
0.2%
1 3
 
0.2%
E 3
 
0.2%
G 3
 
0.2%
/ 2
 
0.1%
Other values (7) 13
 
1.0%
Hangul
ValueCountFrequency (%)
176
 
3.9%
135
 
3.0%
117
 
2.6%
113
 
2.5%
105
 
2.3%
98
 
2.1%
98
 
2.1%
80
 
1.8%
77
 
1.7%
76
 
1.7%
Other values (389) 3490
76.5%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

q70
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1552 
3
1010 
5
244 
2
171 
1
 
23

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row3
5th row4

Common Values

ValueCountFrequency (%)
4 1552
51.7%
3 1010
33.7%
5 244
 
8.1%
2 171
 
5.7%
1 23
 
0.8%

Length

2023-12-13T08:27:22.158502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:22.277372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1552
51.7%
3 1010
33.7%
5 244
 
8.1%
2 171
 
5.7%
1 23
 
0.8%

q71_1
Text

MISSING 

Distinct175
Distinct (%)90.2%
Missing2806
Missing (%)93.5%
Memory size23.6 KiB
2023-12-13T08:27:22.614340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length347
Median length72
Mean length27.020619
Min length2

Characters and Unicode

Total characters5242
Distinct characters421
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique171 ?
Unique (%)88.1%

Sample

1st row지역사회에 얼마나 기여하고 있는지 알 수 있도록 정보가 공개되어야 한다.
2nd row잘모르겠다.
3rd row쓰잘데기 없는 양성평등 조항있음
4th row가이드라인 예시 부족, 어떤것을 위해서 하는건지 모르겠음.
5th row나 자신이 진단능력이 부족하다
ValueCountFrequency (%)
대한 16
 
1.3%
없음 13
 
1.0%
너무 11
 
0.9%
10
 
0.8%
10
 
0.8%
같다 9
 
0.7%
부분이 8
 
0.6%
8
 
0.6%
부분 7
 
0.6%
사회 7
 
0.6%
Other values (937) 1155
92.1%
2023-12-13T08:27:23.213148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1055
 
20.1%
157
 
3.0%
120
 
2.3%
87
 
1.7%
82
 
1.6%
79
 
1.5%
71
 
1.4%
69
 
1.3%
69
 
1.3%
69
 
1.3%
Other values (411) 3384
64.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4063
77.5%
Space Separator 1055
 
20.1%
Other Punctuation 90
 
1.7%
Control 15
 
0.3%
Uppercase Letter 6
 
0.1%
Decimal Number 5
 
0.1%
Lowercase Letter 4
 
0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
157
 
3.9%
120
 
3.0%
87
 
2.1%
82
 
2.0%
79
 
1.9%
71
 
1.7%
69
 
1.7%
69
 
1.7%
69
 
1.7%
68
 
1.7%
Other values (390) 3192
78.6%
Other Punctuation
ValueCountFrequency (%)
. 60
66.7%
, 19
 
21.1%
? 5
 
5.6%
! 2
 
2.2%
" 2
 
2.2%
/ 1
 
1.1%
% 1
 
1.1%
Lowercase Letter
ValueCountFrequency (%)
d 1
25.0%
g 1
25.0%
s 1
25.0%
e 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
S 3
50.0%
E 2
33.3%
G 1
 
16.7%
Decimal Number
ValueCountFrequency (%)
0 2
40.0%
1 2
40.0%
5 1
20.0%
Space Separator
ValueCountFrequency (%)
1055
100.0%
Control
ValueCountFrequency (%)
15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4063
77.5%
Common 1169
 
22.3%
Latin 10
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
157
 
3.9%
120
 
3.0%
87
 
2.1%
82
 
2.0%
79
 
1.9%
71
 
1.7%
69
 
1.7%
69
 
1.7%
69
 
1.7%
68
 
1.7%
Other values (390) 3192
78.6%
Common
ValueCountFrequency (%)
1055
90.2%
. 60
 
5.1%
, 19
 
1.6%
15
 
1.3%
? 5
 
0.4%
) 2
 
0.2%
0 2
 
0.2%
! 2
 
0.2%
( 2
 
0.2%
" 2
 
0.2%
Other values (4) 5
 
0.4%
Latin
ValueCountFrequency (%)
S 3
30.0%
E 2
20.0%
d 1
 
10.0%
g 1
 
10.0%
s 1
 
10.0%
e 1
 
10.0%
G 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4062
77.5%
ASCII 1179
 
22.5%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1055
89.5%
. 60
 
5.1%
, 19
 
1.6%
15
 
1.3%
? 5
 
0.4%
S 3
 
0.3%
E 2
 
0.2%
) 2
 
0.2%
0 2
 
0.2%
! 2
 
0.2%
Other values (11) 14
 
1.2%
Hangul
ValueCountFrequency (%)
157
 
3.9%
120
 
3.0%
87
 
2.1%
82
 
2.0%
79
 
1.9%
71
 
1.7%
69
 
1.7%
69
 
1.7%
69
 
1.7%
68
 
1.7%
Other values (389) 3191
78.6%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

q72
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1496 
3
1081 
5
276 
2
 
124
1
 
23

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 1496
49.9%
3 1081
36.0%
5 276
 
9.2%
2 124
 
4.1%
1 23
 
0.8%

Length

2023-12-13T08:27:23.366241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:23.468718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1496
49.9%
3 1081
36.0%
5 276
 
9.2%
2 124
 
4.1%
1 23
 
0.8%

q73_1
Text

MISSING 

Distinct129
Distinct (%)87.8%
Missing2853
Missing (%)95.1%
Memory size23.6 KiB
2023-12-13T08:27:23.779851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length155
Median length57
Mean length27.44898
Min length2

Characters and Unicode

Total characters4035
Distinct characters352
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique127 ?
Unique (%)86.4%

Sample

1st row쓰잘데기 없는 여성과 남성 양성평등을 얘기하고 있음 대부분은 남성에게 불리함
2nd row기업 이익 고려가 우선이 아닌 소비자 요구사항 반영이 더 적극적이어야 한다
3rd row진단능력이 부족함
4th row이러한 항목들이 결국 어떤 결과로 나타날지 알수 없는 단순한 구호로 보인다. 조금더 세밀한 내용으로 봐야 할 것 같다. 문서로만 진행되는 것인지 아니면 실제 실현에 대한 지표로 어떻게 나타날지 알수가 없다.
5th row투명한 공개와 홍보
ValueCountFrequency (%)
없음 18
 
1.8%
소비자의 13
 
1.3%
11
 
1.1%
소비자 10
 
1.0%
대한 9
 
0.9%
같다 9
 
0.9%
8
 
0.8%
8
 
0.8%
너무 8
 
0.8%
모름 7
 
0.7%
Other values (704) 888
89.8%
2023-12-13T08:27:24.309787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
844
 
20.9%
103
 
2.6%
87
 
2.2%
85
 
2.1%
74
 
1.8%
. 69
 
1.7%
66
 
1.6%
63
 
1.6%
58
 
1.4%
56
 
1.4%
Other values (342) 2530
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3093
76.7%
Space Separator 844
 
20.9%
Other Punctuation 85
 
2.1%
Uppercase Letter 7
 
0.2%
Decimal Number 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%
Control 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
103
 
3.3%
87
 
2.8%
85
 
2.7%
74
 
2.4%
66
 
2.1%
63
 
2.0%
58
 
1.9%
56
 
1.8%
55
 
1.8%
54
 
1.7%
Other values (329) 2392
77.3%
Other Punctuation
ValueCountFrequency (%)
. 69
81.2%
, 14
 
16.5%
? 2
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
E 3
42.9%
S 2
28.6%
G 2
28.6%
Decimal Number
ValueCountFrequency (%)
5 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
844
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3093
76.7%
Common 935
 
23.2%
Latin 7
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
103
 
3.3%
87
 
2.8%
85
 
2.7%
74
 
2.4%
66
 
2.1%
63
 
2.0%
58
 
1.9%
56
 
1.8%
55
 
1.8%
54
 
1.7%
Other values (329) 2392
77.3%
Common
ValueCountFrequency (%)
844
90.3%
. 69
 
7.4%
, 14
 
1.5%
? 2
 
0.2%
- 1
 
0.1%
5 1
 
0.1%
1 1
 
0.1%
1
 
0.1%
) 1
 
0.1%
( 1
 
0.1%
Latin
ValueCountFrequency (%)
E 3
42.9%
S 2
28.6%
G 2
28.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3093
76.7%
ASCII 942
 
23.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
844
89.6%
. 69
 
7.3%
, 14
 
1.5%
E 3
 
0.3%
S 2
 
0.2%
G 2
 
0.2%
? 2
 
0.2%
- 1
 
0.1%
5 1
 
0.1%
1 1
 
0.1%
Other values (3) 3
 
0.3%
Hangul
ValueCountFrequency (%)
103
 
3.3%
87
 
2.8%
85
 
2.7%
74
 
2.4%
66
 
2.1%
63
 
2.0%
58
 
1.9%
56
 
1.8%
55
 
1.8%
54
 
1.7%
Other values (329) 2392
77.3%

q74
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1426 
3
1151 
5
215 
2
172 
1
 
36

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row5
4th row3
5th row4

Common Values

ValueCountFrequency (%)
4 1426
47.5%
3 1151
38.4%
5 215
 
7.2%
2 172
 
5.7%
1 36
 
1.2%

Length

2023-12-13T08:27:24.455034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:24.546746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1426
47.5%
3 1151
38.4%
5 215
 
7.2%
2 172
 
5.7%
1 36
 
1.2%

q75_1
Text

MISSING 

Distinct189
Distinct (%)90.9%
Missing2792
Missing (%)93.1%
Memory size23.6 KiB
2023-12-13T08:27:24.856841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length233
Median length74
Mean length26.240385
Min length1

Characters and Unicode

Total characters5458
Distinct characters419
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique182 ?
Unique (%)87.5%

Sample

1st row시민사회 단체 등에서도 확인 가능한 제도 도입이 필수적이다.
2nd row소비자들이 알수있게 투명있는 개선이 필요하다.
3rd row이사 비율에서 여성비율이 적당한지는 왜 중요한가요
4th row객관적인 진단능력이 부족함
5th row계획도 중요하지만 실천이 더욱 중요하다.
ValueCountFrequency (%)
없음 13
 
1.0%
지배구조 13
 
1.0%
12
 
0.9%
기업 11
 
0.8%
대한 11
 
0.8%
10
 
0.7%
9
 
0.7%
9
 
0.7%
같다 9
 
0.7%
있는 8
 
0.6%
Other values (986) 1242
92.2%
2023-12-13T08:27:25.320155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1147
 
21.0%
148
 
2.7%
117
 
2.1%
96
 
1.8%
90
 
1.6%
83
 
1.5%
82
 
1.5%
75
 
1.4%
69
 
1.3%
64
 
1.2%
Other values (409) 3487
63.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4193
76.8%
Space Separator 1147
 
21.0%
Other Punctuation 94
 
1.7%
Uppercase Letter 7
 
0.1%
Decimal Number 6
 
0.1%
Control 3
 
0.1%
Lowercase Letter 3
 
0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
148
 
3.5%
117
 
2.8%
96
 
2.3%
90
 
2.1%
83
 
2.0%
82
 
2.0%
75
 
1.8%
69
 
1.6%
64
 
1.5%
62
 
1.5%
Other values (389) 3307
78.9%
Other Punctuation
ValueCountFrequency (%)
. 61
64.9%
, 27
28.7%
? 5
 
5.3%
: 1
 
1.1%
Decimal Number
ValueCountFrequency (%)
0 2
33.3%
5 2
33.3%
8 1
16.7%
1 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
G 2
28.6%
S 2
28.6%
E 2
28.6%
K 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
g 1
33.3%
s 1
33.3%
e 1
33.3%
Space Separator
ValueCountFrequency (%)
1147
100.0%
Control
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4193
76.8%
Common 1255
 
23.0%
Latin 10
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
148
 
3.5%
117
 
2.8%
96
 
2.3%
90
 
2.1%
83
 
2.0%
82
 
2.0%
75
 
1.8%
69
 
1.6%
64
 
1.5%
62
 
1.5%
Other values (389) 3307
78.9%
Common
ValueCountFrequency (%)
1147
91.4%
. 61
 
4.9%
, 27
 
2.2%
? 5
 
0.4%
3
 
0.2%
0 2
 
0.2%
5 2
 
0.2%
( 2
 
0.2%
) 2
 
0.2%
: 1
 
0.1%
Other values (3) 3
 
0.2%
Latin
ValueCountFrequency (%)
G 2
20.0%
S 2
20.0%
E 2
20.0%
K 1
10.0%
g 1
10.0%
s 1
10.0%
e 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4193
76.8%
ASCII 1265
 
23.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1147
90.7%
. 61
 
4.8%
, 27
 
2.1%
? 5
 
0.4%
3
 
0.2%
0 2
 
0.2%
5 2
 
0.2%
( 2
 
0.2%
G 2
 
0.2%
S 2
 
0.2%
Other values (10) 12
 
0.9%
Hangul
ValueCountFrequency (%)
148
 
3.5%
117
 
2.8%
96
 
2.3%
90
 
2.1%
83
 
2.0%
82
 
2.0%
75
 
1.8%
69
 
1.6%
64
 
1.5%
62
 
1.5%
Other values (389) 3307
78.9%

q76
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
3
1336 
4
1210 
5
211 
2
207 
1
 
36

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row4
3rd row4
4th row3
5th row4

Common Values

ValueCountFrequency (%)
3 1336
44.5%
4 1210
40.3%
5 211
 
7.0%
2 207
 
6.9%
1 36
 
1.2%

Length

2023-12-13T08:27:25.510457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:25.657369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1336
44.5%
4 1210
40.3%
5 211
 
7.0%
2 207
 
6.9%
1 36
 
1.2%

q77_1
Text

MISSING 

Distinct212
Distinct (%)87.2%
Missing2757
Missing (%)91.9%
Memory size23.6 KiB
2023-12-13T08:27:25.924940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length195
Median length78
Mean length26.411523
Min length1

Characters and Unicode

Total characters6418
Distinct characters423
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique207 ?
Unique (%)85.2%

Sample

1st row이사 비율에서 여성비율이 적당한지는 왜 중요한가요 능력이 중요한거지
2nd row경영에 소비자 의견 청취 대응 팀 필요
3rd row소비자의 소비생활이 반영된 항목들이 없음
4th row진단능력 부족
5th row소비자 평가지수
ValueCountFrequency (%)
소비자의 26
 
1.7%
없음 25
 
1.6%
소비자 20
 
1.3%
대한 15
 
1.0%
13
 
0.8%
모름 13
 
0.8%
13
 
0.8%
12
 
0.8%
같다 12
 
0.8%
11
 
0.7%
Other values (991) 1405
89.8%
2023-12-13T08:27:26.373252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1315
 
20.5%
189
 
2.9%
138
 
2.2%
134
 
2.1%
133
 
2.1%
123
 
1.9%
116
 
1.8%
113
 
1.8%
93
 
1.4%
88
 
1.4%
Other values (413) 3976
62.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4969
77.4%
Space Separator 1315
 
20.5%
Other Punctuation 101
 
1.6%
Control 10
 
0.2%
Uppercase Letter 10
 
0.2%
Lowercase Letter 6
 
0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
189
 
3.8%
138
 
2.8%
134
 
2.7%
133
 
2.7%
123
 
2.5%
116
 
2.3%
113
 
2.3%
93
 
1.9%
88
 
1.8%
80
 
1.6%
Other values (394) 3762
75.7%
Uppercase Letter
ValueCountFrequency (%)
G 4
40.0%
E 2
20.0%
C 1
 
10.0%
O 1
 
10.0%
S 1
 
10.0%
R 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
s 2
33.3%
e 1
16.7%
g 1
16.7%
i 1
16.7%
k 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 79
78.2%
, 16
 
15.8%
? 6
 
5.9%
Space Separator
ValueCountFrequency (%)
1315
100.0%
Control
ValueCountFrequency (%)
10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4969
77.4%
Common 1433
 
22.3%
Latin 16
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
189
 
3.8%
138
 
2.8%
134
 
2.7%
133
 
2.7%
123
 
2.5%
116
 
2.3%
113
 
2.3%
93
 
1.9%
88
 
1.8%
80
 
1.6%
Other values (394) 3762
75.7%
Latin
ValueCountFrequency (%)
G 4
25.0%
s 2
12.5%
E 2
12.5%
C 1
 
6.2%
O 1
 
6.2%
e 1
 
6.2%
g 1
 
6.2%
S 1
 
6.2%
R 1
 
6.2%
i 1
 
6.2%
Common
ValueCountFrequency (%)
1315
91.8%
. 79
 
5.5%
, 16
 
1.1%
10
 
0.7%
? 6
 
0.4%
( 3
 
0.2%
) 3
 
0.2%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4968
77.4%
ASCII 1449
 
22.6%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1315
90.8%
. 79
 
5.5%
, 16
 
1.1%
10
 
0.7%
? 6
 
0.4%
G 4
 
0.3%
( 3
 
0.2%
) 3
 
0.2%
s 2
 
0.1%
E 2
 
0.1%
Other values (9) 9
 
0.6%
Hangul
ValueCountFrequency (%)
189
 
3.8%
138
 
2.8%
134
 
2.7%
133
 
2.7%
123
 
2.5%
116
 
2.3%
113
 
2.3%
93
 
1.9%
88
 
1.8%
80
 
1.6%
Other values (393) 3761
75.7%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

q78
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
2
2343 
1
657 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 2343
78.1%
1 657
 
21.9%

Length

2023-12-13T08:27:26.537449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:26.620492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 2343
78.1%
1 657
 
21.9%

q79_1
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
<NA>
2695 
1
305 

Length

Max length4
Median length4
Mean length3.695
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row1
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2695
89.8%
1 305
 
10.2%

Length

2023-12-13T08:27:26.718835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:26.802073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2695
89.8%
1 305
 
10.2%

q79_2
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
<NA>
2650 
2
350 

Length

Max length4
Median length4
Mean length3.65
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row2
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2650
88.3%
2 350
 
11.7%

Length

2023-12-13T08:27:26.893801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:26.974946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2650
88.3%
2 350
 
11.7%

q79_3
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
<NA>
2816 
3
 
184

Length

Max length4
Median length4
Mean length3.816
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2816
93.9%
3 184
 
6.1%

Length

2023-12-13T08:27:27.061026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:27.143304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2816
93.9%
3 184
 
6.1%

q79_4
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
<NA>
2632 
4
368 

Length

Max length4
Median length4
Mean length3.632
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row4
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2632
87.7%
4 368
 
12.3%

Length

2023-12-13T08:27:27.226242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:27.312374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2632
87.7%
4 368
 
12.3%

q79_5
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
<NA>
2951 
5
 
49

Length

Max length4
Median length4
Mean length3.951
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2951
98.4%
5 49
 
1.6%

Length

2023-12-13T08:27:27.397741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:27.475717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2951
98.4%
5 49
 
1.6%

q79_6
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
<NA>
2908 
6
 
92

Length

Max length4
Median length4
Mean length3.908
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2908
96.9%
6 92
 
3.1%

Length

2023-12-13T08:27:27.561439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:27.640311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2908
96.9%
6 92
 
3.1%

q79_7
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
<NA>
2907 
7
 
93

Length

Max length4
Median length4
Mean length3.907
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2907
96.9%
7 93
 
3.1%

Length

2023-12-13T08:27:27.725648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:27.803853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2907
96.9%
7 93
 
3.1%

q79_8
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
<NA>
2990 
8
 
10

Length

Max length4
Median length4
Mean length3.99
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2990
99.7%
8 10
 
0.3%

Length

2023-12-13T08:27:27.885616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:27.973068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2990
99.7%
8 10
 
0.3%

q79_9
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
<NA>
2994 
9
 
6

Length

Max length4
Median length4
Mean length3.994
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2994
99.8%
9 6
 
0.2%

Length

2023-12-13T08:27:28.064895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:28.166564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2994
99.8%
9 6
 
0.2%

q80
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
<NA>
2343 
3
320 
4
 
222
2
 
82
5
 
24

Length

Max length4
Median length4
Mean length3.343
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row4
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2343
78.1%
3 320
 
10.7%
4 222
 
7.4%
2 82
 
2.7%
5 24
 
0.8%
1 9
 
0.3%

Length

2023-12-13T08:27:28.258393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:28.361326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2343
78.1%
3 320
 
10.7%
4 222
 
7.4%
2 82
 
2.7%
5 24
 
0.8%
1 9
 
0.3%

q81
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1831 
3
814 
5
254 
2
 
83
1
 
18

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 1831
61.0%
3 814
27.1%
5 254
 
8.5%
2 83
 
2.8%
1 18
 
0.6%

Length

2023-12-13T08:27:28.482248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:28.582288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1831
61.0%
3 814
27.1%
5 254
 
8.5%
2 83
 
2.8%
1 18
 
0.6%

q82
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1769 
3
796 
5
323 
2
 
94
1
 
18

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 1769
59.0%
3 796
26.5%
5 323
 
10.8%
2 94
 
3.1%
1 18
 
0.6%

Length

2023-12-13T08:27:28.712377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:28.827385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1769
59.0%
3 796
26.5%
5 323
 
10.8%
2 94
 
3.1%
1 18
 
0.6%

q83
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1714 
3
914 
5
265 
2
 
95
1
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row3
5th row4

Common Values

ValueCountFrequency (%)
4 1714
57.1%
3 914
30.5%
5 265
 
8.8%
2 95
 
3.2%
1 12
 
0.4%

Length

2023-12-13T08:27:28.967683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:29.074301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1714
57.1%
3 914
30.5%
5 265
 
8.8%
2 95
 
3.2%
1 12
 
0.4%

q84
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1641 
3
894 
5
337 
2
 
112
1
 
16

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row4
3rd row5
4th row3
5th row4

Common Values

ValueCountFrequency (%)
4 1641
54.7%
3 894
29.8%
5 337
 
11.2%
2 112
 
3.7%
1 16
 
0.5%

Length

2023-12-13T08:27:29.188882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:29.307040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1641
54.7%
3 894
29.8%
5 337
 
11.2%
2 112
 
3.7%
1 16
 
0.5%

q85
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1544 
3
931 
5
373 
2
 
135
1
 
17

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row2
5th row4

Common Values

ValueCountFrequency (%)
4 1544
51.5%
3 931
31.0%
5 373
 
12.4%
2 135
 
4.5%
1 17
 
0.6%

Length

2023-12-13T08:27:29.418553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:29.518459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1544
51.5%
3 931
31.0%
5 373
 
12.4%
2 135
 
4.5%
1 17
 
0.6%

q86
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
3
1311 
4
1242 
2
224 
5
196 
1
 
27

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row3
5th row4

Common Values

ValueCountFrequency (%)
3 1311
43.7%
4 1242
41.4%
2 224
 
7.5%
5 196
 
6.5%
1 27
 
0.9%

Length

2023-12-13T08:27:29.625679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:29.733127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1311
43.7%
4 1242
41.4%
2 224
 
7.5%
5 196
 
6.5%
1 27
 
0.9%

q87
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1297 
3
1245 
2
223 
5
203 
1
 
32

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row2
5th row4

Common Values

ValueCountFrequency (%)
4 1297
43.2%
3 1245
41.5%
2 223
 
7.4%
5 203
 
6.8%
1 32
 
1.1%

Length

2023-12-13T08:27:29.855415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:29.971385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1297
43.2%
3 1245
41.5%
2 223
 
7.4%
5 203
 
6.8%
1 32
 
1.1%

q88
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1310 
3
1163 
2
241 
5
241 
1
 
45

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row3
3rd row4
4th row3
5th row4

Common Values

ValueCountFrequency (%)
4 1310
43.7%
3 1163
38.8%
2 241
 
8.0%
5 241
 
8.0%
1 45
 
1.5%

Length

2023-12-13T08:27:30.093404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:30.189632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1310
43.7%
3 1163
38.8%
2 241
 
8.0%
5 241
 
8.0%
1 45
 
1.5%

q89
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1350 
3
1205 
2
216 
5
172 
1
 
57

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row2
5th row4

Common Values

ValueCountFrequency (%)
4 1350
45.0%
3 1205
40.2%
2 216
 
7.2%
5 172
 
5.7%
1 57
 
1.9%

Length

2023-12-13T08:27:30.299047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:30.413957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1350
45.0%
3 1205
40.2%
2 216
 
7.2%
5 172
 
5.7%
1 57
 
1.9%

q90
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
3
1297 
4
1215 
2
257 
5
165 
1
 
66

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row4
4th row2
5th row4

Common Values

ValueCountFrequency (%)
3 1297
43.2%
4 1215
40.5%
2 257
 
8.6%
5 165
 
5.5%
1 66
 
2.2%

Length

2023-12-13T08:27:30.521290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:30.953907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1297
43.2%
4 1215
40.5%
2 257
 
8.6%
5 165
 
5.5%
1 66
 
2.2%

q91
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
3
1409 
4
1106 
2
241 
5
174 
1
 
70

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row3
3rd row4
4th row1
5th row4

Common Values

ValueCountFrequency (%)
3 1409
47.0%
4 1106
36.9%
2 241
 
8.0%
5 174
 
5.8%
1 70
 
2.3%

Length

2023-12-13T08:27:31.058152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:31.159744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1409
47.0%
4 1106
36.9%
2 241
 
8.0%
5 174
 
5.8%
1 70
 
2.3%

q92
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1614 
3
974 
5
224 
2
 
152
1
 
36

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row5
4th row3
5th row4

Common Values

ValueCountFrequency (%)
4 1614
53.8%
3 974
32.5%
5 224
 
7.5%
2 152
 
5.1%
1 36
 
1.2%

Length

2023-12-13T08:27:31.266635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:31.363569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1614
53.8%
3 974
32.5%
5 224
 
7.5%
2 152
 
5.1%
1 36
 
1.2%

q93
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1590 
3
944 
5
271 
2
 
154
1
 
41

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row3
3rd row4
4th row3
5th row4

Common Values

ValueCountFrequency (%)
4 1590
53.0%
3 944
31.5%
5 271
 
9.0%
2 154
 
5.1%
1 41
 
1.4%

Length

2023-12-13T08:27:31.465879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:31.574967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1590
53.0%
3 944
31.5%
5 271
 
9.0%
2 154
 
5.1%
1 41
 
1.4%

q94
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1423 
3
1177 
5
187 
2
177 
1
 
36

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row2
5th row4

Common Values

ValueCountFrequency (%)
4 1423
47.4%
3 1177
39.2%
5 187
 
6.2%
2 177
 
5.9%
1 36
 
1.2%

Length

2023-12-13T08:27:31.726010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:31.867236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1423
47.4%
3 1177
39.2%
5 187
 
6.2%
2 177
 
5.9%
1 36
 
1.2%

q95
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1392 
3
1119 
5
264 
2
183 
1
 
42

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row4
3rd row5
4th row2
5th row4

Common Values

ValueCountFrequency (%)
4 1392
46.4%
3 1119
37.3%
5 264
 
8.8%
2 183
 
6.1%
1 42
 
1.4%

Length

2023-12-13T08:27:31.996693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:32.117839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1392
46.4%
3 1119
37.3%
5 264
 
8.8%
2 183
 
6.1%
1 42
 
1.4%

q96
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1360 
3
1087 
5
279 
2
229 
1
 
45

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row1
5th row4

Common Values

ValueCountFrequency (%)
4 1360
45.3%
3 1087
36.2%
5 279
 
9.3%
2 229
 
7.6%
1 45
 
1.5%

Length

2023-12-13T08:27:32.264136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:32.371592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1360
45.3%
3 1087
36.2%
5 279
 
9.3%
2 229
 
7.6%
1 45
 
1.5%

q97
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
3
1429 
4
1107 
2
255 
5
154 
1
 
55

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row3
3rd row4
4th row3
5th row4

Common Values

ValueCountFrequency (%)
3 1429
47.6%
4 1107
36.9%
2 255
 
8.5%
5 154
 
5.1%
1 55
 
1.8%

Length

2023-12-13T08:27:32.505910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:32.632396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1429
47.6%
4 1107
36.9%
2 255
 
8.5%
5 154
 
5.1%
1 55
 
1.8%

q98
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
3
1253 
4
1233 
2
273 
5
177 
1
 
64

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row3
3rd row4
4th row2
5th row4

Common Values

ValueCountFrequency (%)
3 1253
41.8%
4 1233
41.1%
2 273
 
9.1%
5 177
 
5.9%
1 64
 
2.1%

Length

2023-12-13T08:27:32.763691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:32.879874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1253
41.8%
4 1233
41.1%
2 273
 
9.1%
5 177
 
5.9%
1 64
 
2.1%

q99
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1230 
3
1201 
2
302 
5
198 
1
 
69

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row4
4th row1
5th row4

Common Values

ValueCountFrequency (%)
4 1230
41.0%
3 1201
40.0%
2 302
 
10.1%
5 198
 
6.6%
1 69
 
2.3%

Length

2023-12-13T08:27:33.020136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:33.144168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1230
41.0%
3 1201
40.0%
2 302
 
10.1%
5 198
 
6.6%
1 69
 
2.3%

q100
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1487 
3
967 
5
317 
2
178 
1
 
51

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row5
4th row3
5th row4

Common Values

ValueCountFrequency (%)
4 1487
49.6%
3 967
32.2%
5 317
 
10.6%
2 178
 
5.9%
1 51
 
1.7%

Length

2023-12-13T08:27:33.272115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:33.374377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1487
49.6%
3 967
32.2%
5 317
 
10.6%
2 178
 
5.9%
1 51
 
1.7%

q101
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1589 
3
864 
5
375 
2
 
123
1
 
49

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 1589
53.0%
3 864
28.8%
5 375
 
12.5%
2 123
 
4.1%
1 49
 
1.6%

Length

2023-12-13T08:27:33.502277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:33.605828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1589
53.0%
3 864
28.8%
5 375
 
12.5%
2 123
 
4.1%
1 49
 
1.6%

q102
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1272 
3
1196 
5
259 
2
219 
1
 
54

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row3
5th row4

Common Values

ValueCountFrequency (%)
4 1272
42.4%
3 1196
39.9%
5 259
 
8.6%
2 219
 
7.3%
1 54
 
1.8%

Length

2023-12-13T08:27:33.720751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:33.849516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1272
42.4%
3 1196
39.9%
5 259
 
8.6%
2 219
 
7.3%
1 54
 
1.8%

q103
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1640 
3
917 
5
312 
2
 
100
1
 
31

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row5
5th row4

Common Values

ValueCountFrequency (%)
4 1640
54.7%
3 917
30.6%
5 312
 
10.4%
2 100
 
3.3%
1 31
 
1.0%

Length

2023-12-13T08:27:33.986214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:34.095783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1640
54.7%
3 917
30.6%
5 312
 
10.4%
2 100
 
3.3%
1 31
 
1.0%

q104
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1313 
3
1129 
2
268 
5
240 
1
 
50

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row4
3rd row5
4th row3
5th row4

Common Values

ValueCountFrequency (%)
4 1313
43.8%
3 1129
37.6%
2 268
 
8.9%
5 240
 
8.0%
1 50
 
1.7%

Length

2023-12-13T08:27:34.221970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:34.331415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1313
43.8%
3 1129
37.6%
2 268
 
8.9%
5 240
 
8.0%
1 50
 
1.7%

q105
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1310 
3
1124 
5
276 
2
223 
1
 
67

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row3
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 1310
43.7%
3 1124
37.5%
5 276
 
9.2%
2 223
 
7.4%
1 67
 
2.2%

Length

2023-12-13T08:27:34.446777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:34.568551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1310
43.7%
3 1124
37.5%
5 276
 
9.2%
2 223
 
7.4%
1 67
 
2.2%

q106
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1336 
3
1110 
2
265 
5
244 
1
 
45

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row3
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 1336
44.5%
3 1110
37.0%
2 265
 
8.8%
5 244
 
8.1%
1 45
 
1.5%

Length

2023-12-13T08:27:34.679280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:34.784339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1336
44.5%
3 1110
37.0%
2 265
 
8.8%
5 244
 
8.1%
1 45
 
1.5%

q107
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1564 
5
778 
3
564 
2
 
68
1
 
26

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row5
5th row4

Common Values

ValueCountFrequency (%)
4 1564
52.1%
5 778
25.9%
3 564
 
18.8%
2 68
 
2.3%
1 26
 
0.9%

Length

2023-12-13T08:27:34.923877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:35.063731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1564
52.1%
5 778
25.9%
3 564
 
18.8%
2 68
 
2.3%
1 26
 
0.9%

q108
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1509 
3
930 
5
369 
2
 
149
1
 
43

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 1509
50.3%
3 930
31.0%
5 369
 
12.3%
2 149
 
5.0%
1 43
 
1.4%

Length

2023-12-13T08:27:35.206965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:35.334225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1509
50.3%
3 930
31.0%
5 369
 
12.3%
2 149
 
5.0%
1 43
 
1.4%

q109
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1600 
3
894 
5
365 
2
 
114
1
 
27

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row5
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 1600
53.3%
3 894
29.8%
5 365
 
12.2%
2 114
 
3.8%
1 27
 
0.9%

Length

2023-12-13T08:27:35.483426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:35.600673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1600
53.3%
3 894
29.8%
5 365
 
12.2%
2 114
 
3.8%
1 27
 
0.9%

q110
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1400 
3
1080 
5
287 
2
190 
1
 
43

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 1400
46.7%
3 1080
36.0%
5 287
 
9.6%
2 190
 
6.3%
1 43
 
1.4%

Length

2023-12-13T08:27:35.751574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:35.878671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1400
46.7%
3 1080
36.0%
5 287
 
9.6%
2 190
 
6.3%
1 43
 
1.4%

q111
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
1742 
3
737 
5
436 
2
 
63
1
 
22

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 1742
58.1%
3 737
24.6%
5 436
 
14.5%
2 63
 
2.1%
1 22
 
0.7%

Length

2023-12-13T08:27:35.989357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:36.106359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1742
58.1%
3 737
24.6%
5 436
 
14.5%
2 63
 
2.1%
1 22
 
0.7%

q112_1
Real number (ℝ)

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7753333
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.5 KiB
2023-12-13T08:27:36.222987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5538113
Coefficient of variation (CV)0.55986476
Kurtosis-0.28677779
Mean2.7753333
Median Absolute Deviation (MAD)1
Skewness0.9268149
Sum8326
Variance2.4143297
MonotonicityNot monotonic
2023-12-13T08:27:36.350145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 1311
43.7%
1 509
 
17.0%
3 376
 
12.5%
6 344
 
11.5%
4 297
 
9.9%
5 163
 
5.4%
ValueCountFrequency (%)
1 509
 
17.0%
2 1311
43.7%
3 376
 
12.5%
4 297
 
9.9%
5 163
 
5.4%
6 344
 
11.5%
ValueCountFrequency (%)
6 344
 
11.5%
5 163
 
5.4%
4 297
 
9.9%
3 376
 
12.5%
2 1311
43.7%
1 509
 
17.0%

q112_2
Real number (ℝ)

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3966667
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.5 KiB
2023-12-13T08:27:36.480690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5522431
Coefficient of variation (CV)0.45699012
Kurtosis-0.9427027
Mean3.3966667
Median Absolute Deviation (MAD)1
Skewness0.24461279
Sum10190
Variance2.4094587
MonotonicityNot monotonic
2023-12-13T08:27:36.604439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 749
25.0%
2 614
20.5%
4 553
18.4%
6 439
14.6%
1 339
11.3%
5 306
10.2%
ValueCountFrequency (%)
1 339
11.3%
2 614
20.5%
3 749
25.0%
4 553
18.4%
5 306
10.2%
6 439
14.6%
ValueCountFrequency (%)
6 439
14.6%
5 306
10.2%
4 553
18.4%
3 749
25.0%
2 614
20.5%
1 339
11.3%

q112_3
Real number (ℝ)

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8416667
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.5 KiB
2023-12-13T08:27:36.723665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.6653894
Coefficient of variation (CV)0.43350699
Kurtosis-1.1324529
Mean3.8416667
Median Absolute Deviation (MAD)1
Skewness-0.21094519
Sum11525
Variance2.7735217
MonotonicityNot monotonic
2023-12-13T08:27:36.846617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 699
23.3%
4 641
21.4%
3 480
16.0%
5 436
14.5%
2 403
13.4%
1 341
11.4%
ValueCountFrequency (%)
1 341
11.4%
2 403
13.4%
3 480
16.0%
4 641
21.4%
5 436
14.5%
6 699
23.3%
ValueCountFrequency (%)
6 699
23.3%
5 436
14.5%
4 641
21.4%
3 480
16.0%
2 403
13.4%
1 341
11.4%

q113
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
1
1500 
2
1500 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 1500
50.0%
2 1500
50.0%

Length

2023-12-13T08:27:36.969045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:37.072176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1500
50.0%
2 1500
50.0%

q114
Real number (ℝ)

Distinct50
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.161
Minimum20
Maximum69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.5 KiB
2023-12-13T08:27:37.189900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile24
Q133
median46
Q356
95-th percentile65
Maximum69
Range49
Interquartile range (IQR)23

Descriptive statistics

Standard deviation13.196684
Coefficient of variation (CV)0.29221416
Kurtosis-1.1571241
Mean45.161
Median Absolute Deviation (MAD)11
Skewness-0.089005383
Sum135483
Variance174.15246
MonotonicityNot monotonic
2023-12-13T08:27:37.357181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60 117
 
3.9%
51 107
 
3.6%
50 98
 
3.3%
53 92
 
3.1%
29 90
 
3.0%
28 86
 
2.9%
52 84
 
2.8%
62 79
 
2.6%
41 79
 
2.6%
42 78
 
2.6%
Other values (40) 2090
69.7%
ValueCountFrequency (%)
20 14
 
0.5%
21 28
 
0.9%
22 29
 
1.0%
23 39
1.3%
24 45
1.5%
25 56
1.9%
26 64
2.1%
27 71
2.4%
28 86
2.9%
29 90
3.0%
ValueCountFrequency (%)
69 13
 
0.4%
68 20
 
0.7%
67 37
 
1.2%
66 47
1.6%
65 67
2.2%
64 64
2.1%
63 77
2.6%
62 79
2.6%
61 72
2.4%
60 117
3.9%

q115
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
4
696 
3
654 
5
593 
2
535 
1
522 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row3
3rd row4
4th row5
5th row4

Common Values

ValueCountFrequency (%)
4 696
23.2%
3 654
21.8%
5 593
19.8%
2 535
17.8%
1 522
17.4%

Length

2023-12-13T08:27:37.488801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:37.599664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 696
23.2%
3 654
21.8%
5 593
19.8%
2 535
17.8%
1 522
17.4%

q116
Real number (ℝ)

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2396667
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.5 KiB
2023-12-13T08:27:37.707310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.1938925
Coefficient of variation (CV)0.51746816
Kurtosis-1.4452468
Mean4.2396667
Median Absolute Deviation (MAD)2
Skewness0.12535668
Sum12719
Variance4.8131643
MonotonicityNot monotonic
2023-12-13T08:27:37.825653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 1004
33.5%
3 740
24.7%
4 371
 
12.4%
1 353
 
11.8%
2 350
 
11.7%
5 158
 
5.3%
6 24
 
0.8%
ValueCountFrequency (%)
1 353
 
11.8%
2 350
 
11.7%
3 740
24.7%
4 371
 
12.4%
5 158
 
5.3%
6 24
 
0.8%
7 1004
33.5%
ValueCountFrequency (%)
7 1004
33.5%
6 24
 
0.8%
5 158
 
5.3%
4 371
 
12.4%
3 740
24.7%
2 350
 
11.7%
1 353
 
11.8%

q117
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
3
1978 
1
514 
5
322 
2
 
139
4
 
47

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 1978
65.9%
1 514
 
17.1%
5 322
 
10.7%
2 139
 
4.6%
4 47
 
1.6%

Length

2023-12-13T08:27:37.972815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:27:38.079489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1978
65.9%
1 514
 
17.1%
5 322
 
10.7%
2 139
 
4.6%
4 47
 
1.6%

q118
Real number (ℝ)

Distinct153
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean324.19567
Minimum0
Maximum5000
Zeros20
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size26.5 KiB
2023-12-13T08:27:38.232171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q1200
median300
Q3400
95-th percentile700
Maximum5000
Range5000
Interquartile range (IQR)200

Descriptive statistics

Standard deviation285.16506
Coefficient of variation (CV)0.87960788
Kurtosis95.355238
Mean324.19567
Median Absolute Deviation (MAD)100
Skewness6.9789982
Sum972587
Variance81319.113
MonotonicityNot monotonic
2023-12-13T08:27:38.416211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 386
 
12.9%
200 307
 
10.2%
500 207
 
6.9%
400 207
 
6.9%
250 189
 
6.3%
350 138
 
4.6%
100 137
 
4.6%
50 96
 
3.2%
600 91
 
3.0%
30 81
 
2.7%
Other values (143) 1161
38.7%
ValueCountFrequency (%)
0 20
 
0.7%
10 30
 
1.0%
12 1
 
< 0.1%
15 6
 
0.2%
20 39
1.3%
25 1
 
< 0.1%
27 1
 
< 0.1%
30 81
2.7%
32 1
 
< 0.1%
35 1
 
< 0.1%
ValueCountFrequency (%)
5000 3
0.1%
4000 1
 
< 0.1%
3700 1
 
< 0.1%
3500 1
 
< 0.1%
3000 1
 
< 0.1%
2200 1
 
< 0.1%
1800 1
 
< 0.1%
1500 4
0.1%
1200 5
0.2%
1050 1
 
< 0.1%

q119
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9936667
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.5 KiB
2023-12-13T08:27:38.569167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8612132
Coefficient of variation (CV)0.62171692
Kurtosis0.50250906
Mean2.9936667
Median Absolute Deviation (MAD)1
Skewness1.0432313
Sum8981
Variance3.4641146
MonotonicityNot monotonic
2023-12-13T08:27:38.698597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 741
24.7%
1 708
23.6%
3 643
21.4%
4 327
10.9%
5 262
 
8.7%
8 130
 
4.3%
6 119
 
4.0%
7 70
 
2.3%
ValueCountFrequency (%)
1 708
23.6%
2 741
24.7%
3 643
21.4%
4 327
10.9%
5 262
 
8.7%
6 119
 
4.0%
7 70
 
2.3%
8 130
 
4.3%
ValueCountFrequency (%)
8 130
 
4.3%
7 70
 
2.3%
6 119
 
4.0%
5 262
 
8.7%
4 327
10.9%
3 643
21.4%
2 741
24.7%
1 708
23.6%

q120
Real number (ℝ)

Distinct17
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.045
Minimum1
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.5 KiB
2023-12-13T08:27:38.841995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median8
Q310
95-th percentile15
Maximum17
Range16
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.6072462
Coefficient of variation (CV)0.65397391
Kurtosis-1.0028743
Mean7.045
Median Absolute Deviation (MAD)4
Skewness0.23335215
Sum21135
Variance21.226717
MonotonicityNot monotonic
2023-12-13T08:27:38.959032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
8 803
26.8%
1 571
19.0%
2 193
 
6.4%
15 188
 
6.3%
4 178
 
5.9%
14 145
 
4.8%
3 138
 
4.6%
11 119
 
4.0%
13 98
 
3.3%
12 97
 
3.2%
Other values (7) 470
15.7%
ValueCountFrequency (%)
1 571
19.0%
2 193
 
6.4%
3 138
 
4.6%
4 178
 
5.9%
5 82
 
2.7%
6 85
 
2.8%
7 67
 
2.2%
8 803
26.8%
9 87
 
2.9%
10 91
 
3.0%
ValueCountFrequency (%)
17 21
 
0.7%
16 37
 
1.2%
15 188
 
6.3%
14 145
 
4.8%
13 98
 
3.3%
12 97
 
3.2%
11 119
 
4.0%
10 91
 
3.0%
9 87
 
2.9%
8 803
26.8%

Sample

noq1q2-1q2-2q2_3q2_4q2_5q2_6q2_7q2_8q2_9q3q4_1q4_2q4_3q4_4q5q6q7q8q9q10q11q12q13q14q15q16q17q18q19q20q21q22q23q24q25q26_1q27_1q27_2q27_3q28q29q30q31q32q33q34q35q36q37q38q39q40q41q42q43q44q45q46q47q48_1q48_2q48_3q49q50q51q52q53q54q55q56q57q58q59_1q59_2q59_3q60q61q62q63q64q65_1q65_2q65_3q66q67_1q68q69_1q70q71_1q72q73_1q74q75_1q76q77_1q78q79_1q79_2q79_3q79_4q79_5q79_6q79_7q79_8q79_9q80q81q82q83q84q85q86q87q88q89q90q91q92q93q94q95q96q97q98q99q100q101q102q103q104q105q106q107q108q109q110q111q112_1q112_2q112_3q113q114q115q116q117q118q119q120
0111<NA><NA><NA><NA><NA><NA><NA><NA>4환경사회<NA>지구444444444434334432333없음783343344323233332343235323234333432734342332433<NA>4<NA>4<NA>4<NA>4<NA>3<NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>444344444343443444343443444444431416153380088
131<NA>2<NA><NA><NA><NA><NA><NA><NA>3탄소중립녹색성장환경<NA>444444444444434444444없음457444334433443333334443523334443344457443344324<NA>3<NA>4<NA>4<NA>4<NA>4<NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>444444434333344433344444334444423424131125024
24112<NA>4<NA><NA><NA><NA><NA>4환경사회지배구조<NA>444445454444434554554없음478444333443443444544445414544445454273445442134<NA>5<NA>4<NA>4<NA>5<NA>4<NA>112<NA>4<NA><NA><NA><NA><NA>4444544444445445444454445444454426415247385082
3511<NA><NA><NA><NA><NA><NA><NA><NA>3윤리지속환경<NA>543443355521233443354국제적인 트렌드784555212352122445455442455554434455214545341233<NA>2법규이행 및 준수에 대한 상시적인 관리 위반시 법대로 처벌3<NA>4<NA>3<NA>3<NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4433232322133221321343534454444231160533210210
462<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>환경구조에너지<NA>444443444444433444444없음847444334433334344444441424444444444312444442314<NA>4<NA>4<NA>4<NA>4<NA>4<NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4444444444444444444444444444444231250471200215
5711234<NA><NA><NA><NA><NA>4환경사회지배구조<NA>555554454422244444444없음478555422353333554445441525444444454913444441252정확한 정보 제공이 강화되어야 한다.4<NA>2지역사회에 얼마나 기여하고 있는지 알 수 있도록 정보가 공개되어야 한다.4<NA>2시민사회 단체 등에서도 확인 가능한 제도 도입이 필수적이다.4<NA>11234<NA><NA><NA><NA><NA>35554444433333333333343444554455152162573320312
682<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>공공이익사회적가치공동체발전<NA>555444454433355555555없음413555322343333455555555245555555555239555552514<NA>4<NA>4<NA>4<NA>4<NA>4<NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>444444444444444444444454545555561216352345048
791<NA><NA>34<NA><NA><NA><NA><NA>3esg친환경보호<NA>555555354333355443453없다216544343343333444444441345555532434342555333214<NA>4<NA>4<NA>4<NA>4<NA>4<NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>444443333334433433334344444443426423523350051
8101<NA>234<NA><NA>7<NA><NA>4환경탄소제로정부<NA>444444444422223333444없음785444222242222444445554154444444444145444444514<NA>4<NA>4<NA>4<NA>4<NA>4<NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>444444443333333332223233344444421616257515012
91111234<NA><NA><NA><NA><NA>4친환경지속가능기업<NA>444444444334334444444없음764444433344343455554434214444544444521444555424<NA>4<NA>3<NA>4<NA>3<NA>3<NA>1<NA>2<NA><NA><NA><NA><NA><NA><NA>3444444444434444444433444334433432522611325023
noq1q2-1q2-2q2_3q2_4q2_5q2_6q2_7q2_8q2_9q3q4_1q4_2q4_3q4_4q5q6q7q8q9q10q11q12q13q14q15q16q17q18q19q20q21q22q23q24q25q26_1q27_1q27_2q27_3q28q29q30q31q32q33q34q35q36q37q38q39q40q41q42q43q44q45q46q47q48_1q48_2q48_3q49q50q51q52q53q54q55q56q57q58q59_1q59_2q59_3q60q61q62q63q64q65_1q65_2q65_3q66q67_1q68q69_1q70q71_1q72q73_1q74q75_1q76q77_1q78q79_1q79_2q79_3q79_4q79_5q79_6q79_7q79_8q79_9q80q81q82q83q84q85q86q87q88q89q90q91q92q93q94q95q96q97q98q99q100q101q102q103q104q105q106q107q108q109q110q111q112_1q112_2q112_3q113q114q115q116q117q118q119q120
29906030112<NA><NA><NA><NA><NA><NA><NA>4환경인권준법<NA>544555553234334554252없음734555313333133354344221425543324534287454552454<NA>4<NA>5<NA>5<NA>3<NA>3<NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3344433344444434344554555453554145230233250211
299160482<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>모름모름모름<NA>423333333333344444444없음213444333333333344444442344444444444123444441244<NA>4<NA>4<NA>4<NA>4<NA>4<NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>444444444444444444444444435443423423727320025
299261001<NA>2<NA>4<NA><NA><NA><NA><NA>3친환경에너지환경보호<NA>444444454333323343344현재는 필요해서라기 보다는 국제적 추세가 그러해서 하고 있는거 같다468544323333333354445441244444534444795444442513<NA>3<NA>3<NA>3<NA>3<NA>3<NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3433333432244333333443443444444234236213200211
299361742<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>없음없음없음<NA>423444343333443444444없음4834343333433334444444313244455344441025554544124<NA>4<NA>3<NA>3<NA>3<NA>3<NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>544443343334434433434333334333423122717321023
2994623811<NA><NA><NA><NA><NA><NA><NA><NA>4사회적윤리적기업가치<NA>545545555555554555555소비자들이 기업을 행동을 보기 때문에631555545555555555555457655555555455678555553455<NA>4<NA>3<NA>4<NA>4<NA>5<NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>545555555554555455555455555555453212717320112
299562491<NA><NA>3<NA><NA><NA>7<NA><NA>3사회적윤리적지속성<NA>444444455522234444443없음123444333333333344444441354444444444135554441234<NA>4<NA>4<NA>4<NA>4<NA>4<NA>1<NA>2<NA>4<NA><NA>7<NA><NA>44444444443333434333434544354444245127153400412
2996628911<NA><NA><NA><NA><NA>7<NA><NA>3탄소중립sk계열사재생에너지재생에너지433332344343334443344없음2373343434434234444444441233332232325107232322352보이는식으로 하질않킬 바람뿐.3<NA>3<NA>3<NA>3<NA>4<NA>1<NA><NA>34<NA><NA><NA><NA><NA>44444433443334444333333433244334236263533400411
299762982<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>에너지스피드지구<NA>433444444433344555554환경을 생각하기 시작한것같다368555333333333344444443414444444444629555551235<NA>4<NA>3<NA>3<NA>4<NA>4<NA>1123<NA><NA><NA><NA><NA><NA>34444445533344444444444444444444123130223500516
299866252<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>없음없음없음<NA>545555344333344554553없음316555343343333355555331544553434555823554431324<NA>3<NA>3<NA>3<NA>4<NA>3<NA>1<NA>2<NA><NA><NA><NA><NA><NA><NA>1433332333334333334333333234343325422412410013
299966562<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>친환경사회적 책임지속 가능 발전<NA>433434454333343442334없음187433332333243332332336243433233343796434331253<NA>4<NA>3<NA>4<NA>4<NA>4<NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>33324333434444234344444333433432351221718016