Overview

Dataset statistics

Number of variables52
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.8 KiB
Average record size in memory470.4 B

Variable types

Numeric46
Categorical4
Text2

Dataset

Description샘플 데이터
Author한국평가데이터(주)
URLhttps://bigdata-region.kr/#/dataset/5df6947e-ecd5-4cd4-af39-dabf9a125c03

Alerts

기준년도 has constant value ""Constant
기업코드 has unique valuesUnique
기업명 has unique valuesUnique
사업자번호 has unique valuesUnique
1월평균연봉 has unique valuesUnique
2월평균연봉 has unique valuesUnique
3월평균연봉 has unique valuesUnique
4월평균연봉 has unique valuesUnique
5월평균연봉 has unique valuesUnique
6월평균연봉 has unique valuesUnique
7월평균연봉 has unique valuesUnique
8월평균연봉 has unique valuesUnique
9월평균연봉 has unique valuesUnique
10월평균연봉 has unique valuesUnique
11월평균연봉 has unique valuesUnique
12월평균연봉 has unique valuesUnique
1월입사자수 has 12 (40.0%) zerosZeros
3월입사자수 has 12 (40.0%) zerosZeros
4월입사자수 has 14 (46.7%) zerosZeros
5월입사자수 has 8 (26.7%) zerosZeros
7월입사자수 has 17 (56.7%) zerosZeros
8월입사자수 has 14 (46.7%) zerosZeros
10월입사자수 has 16 (53.3%) zerosZeros
11월입사자수 has 16 (53.3%) zerosZeros
12월입사자수 has 13 (43.3%) zerosZeros
1월퇴사자수 has 14 (46.7%) zerosZeros
2월퇴사자수 has 16 (53.3%) zerosZeros
3월퇴사자수 has 15 (50.0%) zerosZeros
4월퇴사자수 has 17 (56.7%) zerosZeros
5월퇴사자수 has 15 (50.0%) zerosZeros
6월퇴사자수 has 10 (33.3%) zerosZeros
7월퇴사자수 has 13 (43.3%) zerosZeros
8월퇴사자수 has 16 (53.3%) zerosZeros
9월퇴사자수 has 12 (40.0%) zerosZeros
10월퇴사자수 has 18 (60.0%) zerosZeros
11월퇴사자수 has 11 (36.7%) zerosZeros
12월퇴사자수 has 14 (46.7%) zerosZeros

Reproduction

Analysis started2023-12-10 13:43:49.865616
Analysis finished2023-12-10 13:43:50.432065
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기업코드
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4015.5
Minimum4001
Maximum4030
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:43:50.548263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4001
5-th percentile4002.45
Q14008.25
median4015.5
Q34022.75
95-th percentile4028.55
Maximum4030
Range29
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation8.8034084
Coefficient of variation (CV)0.0021923567
Kurtosis-1.2
Mean4015.5
Median Absolute Deviation (MAD)7.5
Skewness0
Sum120465
Variance77.5
MonotonicityStrictly increasing
2023-12-10T22:43:50.771487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
4001 1
 
3.3%
4017 1
 
3.3%
4030 1
 
3.3%
4029 1
 
3.3%
4028 1
 
3.3%
4027 1
 
3.3%
4026 1
 
3.3%
4025 1
 
3.3%
4024 1
 
3.3%
4023 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
4001 1
3.3%
4002 1
3.3%
4003 1
3.3%
4004 1
3.3%
4005 1
3.3%
4006 1
3.3%
4007 1
3.3%
4008 1
3.3%
4009 1
3.3%
4010 1
3.3%
ValueCountFrequency (%)
4030 1
3.3%
4029 1
3.3%
4028 1
3.3%
4027 1
3.3%
4026 1
3.3%
4025 1
3.3%
4024 1
3.3%
4023 1
3.3%
4022 1
3.3%
4021 1
3.3%

기준년도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2022
30 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2022 30
100.0%

Length

2023-12-10T22:43:50.987062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:43:51.146405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 30
100.0%

기업명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T22:43:51.432404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length9
Mean length5.9
Min length1

Characters and Unicode

Total characters177
Distinct characters112
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row농매디드
2nd row반료튜투자자문
3rd row합쇼울요리학원
4th row비매징지스톤타이어세일즈코리아
5th row엠자신스나노켐
ValueCountFrequency (%)
농매디드 1
 
3.3%
반료튜투자자문 1
 
3.3%
합권메머스크물류서비스 1
 
3.3%
섬회자이엔지 1
 
3.3%
두조정공 1
 
3.3%
섬매톤텔레텍 1
 
3.3%
티령밥바이오 1
 
3.3%
젠웍서상운 1
 
3.3%
부매알씨에스 1
 
3.3%
터오융윈 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T22:43:52.036765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
 
4.5%
7
 
4.0%
6
 
3.4%
4
 
2.3%
4
 
2.3%
4
 
2.3%
4
 
2.3%
3
 
1.7%
3
 
1.7%
3
 
1.7%
Other values (102) 131
74.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 177
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8
 
4.5%
7
 
4.0%
6
 
3.4%
4
 
2.3%
4
 
2.3%
4
 
2.3%
4
 
2.3%
3
 
1.7%
3
 
1.7%
3
 
1.7%
Other values (102) 131
74.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 177
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8
 
4.5%
7
 
4.0%
6
 
3.4%
4
 
2.3%
4
 
2.3%
4
 
2.3%
4
 
2.3%
3
 
1.7%
3
 
1.7%
3
 
1.7%
Other values (102) 131
74.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 177
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
8
 
4.5%
7
 
4.0%
6
 
3.4%
4
 
2.3%
4
 
2.3%
4
 
2.3%
4
 
2.3%
3
 
1.7%
3
 
1.7%
3
 
1.7%
Other values (102) 131
74.0%

사업자번호
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T22:43:52.419668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters360
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row190-81-34221
2nd row130-86-01364
3rd row100-81-67682
4th row120-81-60944
5th row580-81-37209
ValueCountFrequency (%)
190-81-34221 1
 
3.3%
130-86-01364 1
 
3.3%
100-86-51642 1
 
3.3%
530-81-62348 1
 
3.3%
690-81-60647 1
 
3.3%
118-86-59845 1
 
3.3%
115-86-26998 1
 
3.3%
140-86-22093 1
 
3.3%
370-81-15880 1
 
3.3%
300-81-56612 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T22:43:52.942570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 60
16.7%
1 54
15.0%
8 50
13.9%
0 39
10.8%
6 32
8.9%
2 25
6.9%
3 23
 
6.4%
4 21
 
5.8%
5 20
 
5.6%
7 19
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 300
83.3%
Dash Punctuation 60
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 54
18.0%
8 50
16.7%
0 39
13.0%
6 32
10.7%
2 25
8.3%
3 23
7.7%
4 21
 
7.0%
5 20
 
6.7%
7 19
 
6.3%
9 17
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 360
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 60
16.7%
1 54
15.0%
8 50
13.9%
0 39
10.8%
6 32
8.9%
2 25
6.9%
3 23
 
6.4%
4 21
 
5.8%
5 20
 
5.6%
7 19
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 60
16.7%
1 54
15.0%
8 50
13.9%
0 39
10.8%
6 32
8.9%
2 25
6.9%
3 23
 
6.4%
4 21
 
5.8%
5 20
 
5.6%
7 19
 
5.3%

1월종업원수
Real number (ℝ)

Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.2
Minimum7
Maximum524
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:43:53.165021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile10.9
Q131.5
median47
Q399.25
95-th percentile229.95
Maximum524
Range517
Interquartile range (IQR)67.75

Descriptive statistics

Standard deviation105.42407
Coefficient of variation (CV)1.1687813
Kurtosis9.369644
Mean90.2
Median Absolute Deviation (MAD)34
Skewness2.7590928
Sum2706
Variance11114.234
MonotonicityNot monotonic
2023-12-10T22:43:53.406218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
91 3
 
10.0%
42 2
 
6.7%
220 2
 
6.7%
102 2
 
6.7%
45 2
 
6.7%
80 1
 
3.3%
49 1
 
3.3%
225 1
 
3.3%
524 1
 
3.3%
36 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
7 1
3.3%
10 1
3.3%
12 1
3.3%
17 1
3.3%
26 1
3.3%
28 1
3.3%
29 1
3.3%
31 1
3.3%
33 1
3.3%
36 1
3.3%
ValueCountFrequency (%)
524 1
 
3.3%
234 1
 
3.3%
225 1
 
3.3%
220 2
6.7%
103 1
 
3.3%
102 2
6.7%
91 3
10.0%
82 1
 
3.3%
80 1
 
3.3%
51 1
 
3.3%

2월종업원수
Real number (ℝ)

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.866667
Minimum8
Maximum517
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:43:53.595313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10.9
Q131.5
median47
Q3100
95-th percentile227.95
Maximum517
Range509
Interquartile range (IQR)68.5

Descriptive statistics

Standard deviation103.93225
Coefficient of variation (CV)1.1565161
Kurtosis9.3072801
Mean89.866667
Median Absolute Deviation (MAD)34
Skewness2.7450412
Sum2696
Variance10801.913
MonotonicityNot monotonic
2023-12-10T22:43:53.787341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
49 2
 
6.7%
91 2
 
6.7%
105 2
 
6.7%
45 2
 
6.7%
40 1
 
3.3%
44 1
 
3.3%
103 1
 
3.3%
223 1
 
3.3%
517 1
 
3.3%
36 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
8 1
3.3%
10 1
3.3%
12 1
3.3%
19 1
3.3%
26 1
3.3%
28 1
3.3%
29 1
3.3%
31 1
3.3%
33 1
3.3%
36 1
3.3%
ValueCountFrequency (%)
517 1
3.3%
232 1
3.3%
223 1
3.3%
221 1
3.3%
212 1
3.3%
105 2
6.7%
103 1
3.3%
91 2
6.7%
88 1
3.3%
86 1
3.3%

3월종업원수
Real number (ℝ)

Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.1
Minimum8
Maximum519
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:43:53.987454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10.9
Q133
median47
Q397.75
95-th percentile229.6
Maximum519
Range511
Interquartile range (IQR)64.75

Descriptive statistics

Standard deviation103.57618
Coefficient of variation (CV)1.1495691
Kurtosis9.6464966
Mean90.1
Median Absolute Deviation (MAD)35
Skewness2.7824838
Sum2703
Variance10728.024
MonotonicityNot monotonic
2023-12-10T22:43:54.201579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
42 3
 
10.0%
47 2
 
6.7%
91 2
 
6.7%
33 2
 
6.7%
89 2
 
6.7%
45 1
 
3.3%
49 1
 
3.3%
116 1
 
3.3%
223 1
 
3.3%
519 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
8 1
 
3.3%
10 1
 
3.3%
12 1
 
3.3%
17 1
 
3.3%
26 1
 
3.3%
28 1
 
3.3%
31 1
 
3.3%
33 2
6.7%
35 1
 
3.3%
42 3
10.0%
ValueCountFrequency (%)
519 1
3.3%
235 1
3.3%
223 1
3.3%
212 1
3.3%
202 1
3.3%
116 1
3.3%
107 1
3.3%
100 1
3.3%
91 2
6.7%
89 2
6.7%

4월종업원수
Real number (ℝ)

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.166667
Minimum8
Maximum529
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:43:54.424419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10.9
Q133
median47
Q3101.75
95-th percentile230.9
Maximum529
Range521
Interquartile range (IQR)68.75

Descriptive statistics

Standard deviation105.15672
Coefficient of variation (CV)1.1534558
Kurtosis9.8981774
Mean91.166667
Median Absolute Deviation (MAD)35
Skewness2.8117514
Sum2735
Variance11057.937
MonotonicityNot monotonic
2023-12-10T22:43:54.649568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
47 3
 
10.0%
42 2
 
6.7%
33 2
 
6.7%
49 1
 
3.3%
123 1
 
3.3%
221 1
 
3.3%
529 1
 
3.3%
35 1
 
3.3%
8 1
 
3.3%
82 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
8 1
3.3%
10 1
3.3%
12 1
3.3%
17 1
3.3%
26 1
3.3%
28 1
3.3%
29 1
3.3%
33 2
6.7%
35 1
3.3%
42 2
6.7%
ValueCountFrequency (%)
529 1
3.3%
239 1
3.3%
221 1
3.3%
216 1
3.3%
197 1
3.3%
123 1
3.3%
107 1
3.3%
103 1
3.3%
98 1
3.3%
96 1
3.3%

5월종업원수
Real number (ℝ)

Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.4
Minimum8
Maximum526
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:43:54.858800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10.9
Q133
median48
Q3106
95-th percentile233.8
Maximum526
Range518
Interquartile range (IQR)73

Descriptive statistics

Standard deviation105.37702
Coefficient of variation (CV)1.1529215
Kurtosis9.4547349
Mean91.4
Median Absolute Deviation (MAD)34
Skewness2.7495039
Sum2742
Variance11104.317
MonotonicityNot monotonic
2023-12-10T22:43:55.077437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
42 2
 
6.7%
47 2
 
6.7%
107 2
 
6.7%
49 2
 
6.7%
82 2
 
6.7%
33 2
 
6.7%
124 1
 
3.3%
225 1
 
3.3%
526 1
 
3.3%
36 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
8 1
3.3%
10 1
3.3%
12 1
3.3%
17 1
3.3%
24 1
3.3%
26 1
3.3%
29 1
3.3%
33 2
6.7%
36 1
3.3%
40 1
3.3%
ValueCountFrequency (%)
526 1
3.3%
241 1
3.3%
225 1
3.3%
221 1
3.3%
197 1
3.3%
124 1
3.3%
107 2
6.7%
103 1
3.3%
95 1
3.3%
88 1
3.3%

6월종업원수
Real number (ℝ)

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.1
Minimum8
Maximum520
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:43:55.304469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10.9
Q133.5
median49
Q3104.5
95-th percentile236.8
Maximum520
Range512
Interquartile range (IQR)71

Descriptive statistics

Standard deviation104.4296
Coefficient of variation (CV)1.1338719
Kurtosis9.176847
Mean92.1
Median Absolute Deviation (MAD)34.5
Skewness2.709681
Sum2763
Variance10905.541
MonotonicityNot monotonic
2023-12-10T22:43:55.495417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
42 2
 
6.7%
89 2
 
6.7%
40 2
 
6.7%
103 1
 
3.3%
52 1
 
3.3%
128 1
 
3.3%
227 1
 
3.3%
520 1
 
3.3%
8 1
 
3.3%
80 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
8 1
3.3%
10 1
3.3%
12 1
3.3%
17 1
3.3%
26 1
3.3%
28 1
3.3%
31 1
3.3%
33 1
3.3%
35 1
3.3%
40 2
6.7%
ValueCountFrequency (%)
520 1
3.3%
244 1
3.3%
228 1
3.3%
227 1
3.3%
184 1
3.3%
128 1
3.3%
112 1
3.3%
105 1
3.3%
103 1
3.3%
95 1
3.3%

7월종업원수
Real number (ℝ)

Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.633333
Minimum8
Maximum517
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:43:55.769497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10.9
Q133.5
median48
Q3105.75
95-th percentile241
Maximum517
Range509
Interquartile range (IQR)72.25

Descriptive statistics

Standard deviation103.47096
Coefficient of variation (CV)1.1543804
Kurtosis9.6238266
Mean89.633333
Median Absolute Deviation (MAD)34.5
Skewness2.7981992
Sum2689
Variance10706.24
MonotonicityNot monotonic
2023-12-10T22:43:55.997246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
47 2
 
6.7%
40 2
 
6.7%
107 2
 
6.7%
241 2
 
6.7%
29 2
 
6.7%
35 2
 
6.7%
95 1
 
3.3%
52 1
 
3.3%
133 1
 
3.3%
227 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
8 1
3.3%
10 1
3.3%
12 1
3.3%
15 1
3.3%
24 1
3.3%
29 2
6.7%
33 1
3.3%
35 2
6.7%
40 2
6.7%
42 1
3.3%
ValueCountFrequency (%)
517 1
3.3%
241 2
6.7%
227 1
3.3%
133 1
3.3%
119 1
3.3%
107 2
6.7%
102 1
3.3%
95 1
3.3%
91 1
3.3%
89 1
3.3%

8월종업원수
Real number (ℝ)

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.266667
Minimum8
Maximum512
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:43:56.387291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10.9
Q131.5
median48
Q3108.5
95-th percentile237.85
Maximum512
Range504
Interquartile range (IQR)77

Descriptive statistics

Standard deviation103.32838
Coefficient of variation (CV)1.1447014
Kurtosis9.0174137
Mean90.266667
Median Absolute Deviation (MAD)34.5
Skewness2.6853518
Sum2708
Variance10676.754
MonotonicityNot monotonic
2023-12-10T22:43:56.722685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
40 2
 
6.7%
45 2
 
6.7%
35 2
 
6.7%
52 1
 
3.3%
142 1
 
3.3%
225 1
 
3.3%
512 1
 
3.3%
8 1
 
3.3%
65 1
 
3.3%
24 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
8 1
3.3%
10 1
3.3%
12 1
3.3%
15 1
3.3%
24 1
3.3%
28 1
3.3%
29 1
3.3%
31 1
3.3%
33 1
3.3%
35 2
6.7%
ValueCountFrequency (%)
512 1
3.3%
241 1
3.3%
234 1
3.3%
225 1
3.3%
151 1
3.3%
142 1
3.3%
112 1
3.3%
109 1
3.3%
107 1
3.3%
96 1
3.3%

9월종업원수
Real number (ℝ)

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.233333
Minimum8
Maximum508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:43:56.969999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10.9
Q133.5
median48
Q3114.25
95-th percentile232.5
Maximum508
Range500
Interquartile range (IQR)80.75

Descriptive statistics

Standard deviation102.19882
Coefficient of variation (CV)1.1326061
Kurtosis9.0584135
Mean90.233333
Median Absolute Deviation (MAD)34.5
Skewness2.6768214
Sum2707
Variance10444.599
MonotonicityNot monotonic
2023-12-10T22:43:57.170478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
35 3
 
10.0%
116 2
 
6.7%
40 1
 
3.3%
33 1
 
3.3%
56 1
 
3.3%
147 1
 
3.3%
227 1
 
3.3%
508 1
 
3.3%
8 1
 
3.3%
68 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
8 1
 
3.3%
10 1
 
3.3%
12 1
 
3.3%
15 1
 
3.3%
24 1
 
3.3%
28 1
 
3.3%
29 1
 
3.3%
33 1
 
3.3%
35 3
10.0%
36 1
 
3.3%
ValueCountFrequency (%)
508 1
3.3%
237 1
3.3%
227 1
3.3%
223 1
3.3%
147 1
3.3%
146 1
3.3%
116 2
6.7%
109 1
3.3%
96 1
3.3%
91 1
3.3%

10월종업원수
Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.6
Minimum8
Maximum513
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:43:57.807769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10.9
Q130
median47
Q3113
95-th percentile234.95
Maximum513
Range505
Interquartile range (IQR)83

Descriptive statistics

Standard deviation102.87844
Coefficient of variation (CV)1.1481968
Kurtosis9.3605363
Mean89.6
Median Absolute Deviation (MAD)33.5
Skewness2.7207951
Sum2688
Variance10583.972
MonotonicityNot monotonic
2023-12-10T22:43:58.207240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
35 2
 
6.7%
29 2
 
6.7%
40 1
 
3.3%
38 1
 
3.3%
56 1
 
3.3%
151 1
 
3.3%
230 1
 
3.3%
513 1
 
3.3%
8 1
 
3.3%
65 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
8 1
3.3%
10 1
3.3%
12 1
3.3%
15 1
3.3%
24 1
3.3%
28 1
3.3%
29 2
6.7%
33 1
3.3%
35 2
6.7%
36 1
3.3%
ValueCountFrequency (%)
513 1
3.3%
239 1
3.3%
230 1
3.3%
211 1
3.3%
151 1
3.3%
140 1
3.3%
121 1
3.3%
114 1
3.3%
110 1
3.3%
95 1
3.3%

11월종업원수
Real number (ℝ)

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.8
Minimum8
Maximum517
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:43:58.448526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10.9
Q130
median47
Q3117.75
95-th percentile234.95
Maximum517
Range509
Interquartile range (IQR)87.75

Descriptive statistics

Standard deviation104.1542
Coefficient of variation (CV)1.1470726
Kurtosis9.0994321
Mean90.8
Median Absolute Deviation (MAD)33.5
Skewness2.6854775
Sum2724
Variance10848.097
MonotonicityNot monotonic
2023-12-10T22:43:58.837784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
40 2
 
6.7%
121 2
 
6.7%
28 2
 
6.7%
38 1
 
3.3%
58 1
 
3.3%
168 1
 
3.3%
225 1
 
3.3%
517 1
 
3.3%
8 1
 
3.3%
66 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
8 1
3.3%
10 1
3.3%
12 1
3.3%
15 1
3.3%
24 1
3.3%
28 2
6.7%
29 1
3.3%
33 1
3.3%
35 1
3.3%
36 1
3.3%
ValueCountFrequency (%)
517 1
3.3%
239 1
3.3%
230 1
3.3%
225 1
3.3%
168 1
3.3%
121 2
6.7%
119 1
3.3%
114 1
3.3%
96 1
3.3%
91 1
3.3%

12월종업원수
Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.533333
Minimum8
Maximum513
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:43:59.105247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10.9
Q130
median48
Q3115
95-th percentile229.95
Maximum513
Range505
Interquartile range (IQR)85

Descriptive statistics

Standard deviation103.06835
Coefficient of variation (CV)1.1384575
Kurtosis9.1543425
Mean90.533333
Median Absolute Deviation (MAD)32.5
Skewness2.6878044
Sum2716
Variance10623.085
MonotonicityNot monotonic
2023-12-10T22:43:59.315840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
40 3
 
10.0%
124 1
 
3.3%
58 1
 
3.3%
177 1
 
3.3%
225 1
 
3.3%
513 1
 
3.3%
26 1
 
3.3%
8 1
 
3.3%
65 1
 
3.3%
24 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
8 1
3.3%
10 1
3.3%
12 1
3.3%
15 1
3.3%
24 1
3.3%
26 1
3.3%
28 1
3.3%
29 1
3.3%
33 1
3.3%
35 1
3.3%
ValueCountFrequency (%)
513 1
3.3%
234 1
3.3%
225 1
3.3%
221 1
3.3%
177 1
3.3%
124 1
3.3%
123 1
3.3%
116 1
3.3%
112 1
3.3%
95 1
3.3%

1월입사자수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0333333
Minimum0
Maximum36
Zeros12
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:43:59.532173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32.5
95-th percentile10
Maximum36
Range36
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation6.8555708
Coefficient of variation (CV)2.2600783
Kurtosis19.463971
Mean3.0333333
Median Absolute Deviation (MAD)1
Skewness4.1475469
Sum91
Variance46.998851
MonotonicityNot monotonic
2023-12-10T22:43:59.819203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 12
40.0%
1 10
33.3%
5 3
 
10.0%
10 2
 
6.7%
7 1
 
3.3%
36 1
 
3.3%
3 1
 
3.3%
ValueCountFrequency (%)
0 12
40.0%
1 10
33.3%
3 1
 
3.3%
5 3
 
10.0%
7 1
 
3.3%
10 2
 
6.7%
36 1
 
3.3%
ValueCountFrequency (%)
36 1
 
3.3%
10 2
 
6.7%
7 1
 
3.3%
5 3
 
10.0%
3 1
 
3.3%
1 10
33.3%
0 12
40.0%

2월입사자수
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
12 
1
10 
3
5
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row3

Common Values

ValueCountFrequency (%)
0 12
40.0%
1 10
33.3%
3 4
 
13.3%
5 2
 
6.7%
7 2
 
6.7%

Length

2023-12-10T22:44:00.069236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:44:00.243162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 12
40.0%
1 10
33.3%
3 4
 
13.3%
5 2
 
6.7%
7 2
 
6.7%

3월입사자수
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6333333
Minimum0
Maximum14
Zeros12
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:00.480556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile10.2
Maximum14
Range14
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.764474
Coefficient of variation (CV)1.4295471
Kurtosis2.3591929
Mean2.6333333
Median Absolute Deviation (MAD)1
Skewness1.7026681
Sum79
Variance14.171264
MonotonicityNot monotonic
2023-12-10T22:44:00.704673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 12
40.0%
1 7
23.3%
3 4
 
13.3%
7 3
 
10.0%
8 1
 
3.3%
5 1
 
3.3%
14 1
 
3.3%
12 1
 
3.3%
ValueCountFrequency (%)
0 12
40.0%
1 7
23.3%
3 4
 
13.3%
5 1
 
3.3%
7 3
 
10.0%
8 1
 
3.3%
12 1
 
3.3%
14 1
 
3.3%
ValueCountFrequency (%)
14 1
 
3.3%
12 1
 
3.3%
8 1
 
3.3%
7 3
 
10.0%
5 1
 
3.3%
3 4
 
13.3%
1 7
23.3%
0 12
40.0%

4월입사자수
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0333333
Minimum0
Maximum21
Zeros14
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:00.977576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34.5
95-th percentile12.75
Maximum21
Range21
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation5.1493778
Coefficient of variation (CV)1.6975971
Kurtosis4.6028784
Mean3.0333333
Median Absolute Deviation (MAD)1
Skewness2.1484589
Sum91
Variance26.516092
MonotonicityNot monotonic
2023-12-10T22:44:01.207217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 14
46.7%
1 7
23.3%
5 2
 
6.7%
10 2
 
6.7%
7 1
 
3.3%
3 1
 
3.3%
8 1
 
3.3%
21 1
 
3.3%
15 1
 
3.3%
ValueCountFrequency (%)
0 14
46.7%
1 7
23.3%
3 1
 
3.3%
5 2
 
6.7%
7 1
 
3.3%
8 1
 
3.3%
10 2
 
6.7%
15 1
 
3.3%
21 1
 
3.3%
ValueCountFrequency (%)
21 1
 
3.3%
15 1
 
3.3%
10 2
 
6.7%
8 1
 
3.3%
7 1
 
3.3%
5 2
 
6.7%
3 1
 
3.3%
1 7
23.3%
0 14
46.7%

5월입사자수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2666667
Minimum0
Maximum10
Zeros8
Zeros (%)26.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:01.370535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25
median1
Q33
95-th percentile7.55
Maximum10
Range10
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation2.7156422
Coefficient of variation (CV)1.1980774
Kurtosis1.3530504
Mean2.2666667
Median Absolute Deviation (MAD)1
Skewness1.4580094
Sum68
Variance7.3747126
MonotonicityNot monotonic
2023-12-10T22:44:01.586694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 11
36.7%
0 8
26.7%
3 5
16.7%
7 2
 
6.7%
5 2
 
6.7%
8 1
 
3.3%
10 1
 
3.3%
ValueCountFrequency (%)
0 8
26.7%
1 11
36.7%
3 5
16.7%
5 2
 
6.7%
7 2
 
6.7%
8 1
 
3.3%
10 1
 
3.3%
ValueCountFrequency (%)
10 1
 
3.3%
8 1
 
3.3%
7 2
 
6.7%
5 2
 
6.7%
3 5
16.7%
1 11
36.7%
0 8
26.7%

6월입사자수
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
16 
1
3
19
 
1
8
 
1

Length

Max length2
Median length1
Mean length1.0333333
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 16
53.3%
1 8
26.7%
3 4
 
13.3%
19 1
 
3.3%
8 1
 
3.3%

Length

2023-12-10T22:44:01.863859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:44:02.071463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 16
53.3%
1 8
26.7%
3 4
 
13.3%
19 1
 
3.3%
8 1
 
3.3%

7월입사자수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3
Minimum0
Maximum49
Zeros17
Zeros (%)56.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:02.234423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile10.2
Maximum49
Range49
Interquartile range (IQR)1

Descriptive statistics

Standard deviation9.180752
Coefficient of variation (CV)2.7820461
Kurtosis22.760653
Mean3.3
Median Absolute Deviation (MAD)0
Skewness4.5679974
Sum99
Variance84.286207
MonotonicityNot monotonic
2023-12-10T22:44:02.509818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 17
56.7%
1 6
 
20.0%
7 3
 
10.0%
8 1
 
3.3%
49 1
 
3.3%
3 1
 
3.3%
12 1
 
3.3%
ValueCountFrequency (%)
0 17
56.7%
1 6
 
20.0%
3 1
 
3.3%
7 3
 
10.0%
8 1
 
3.3%
12 1
 
3.3%
49 1
 
3.3%
ValueCountFrequency (%)
49 1
 
3.3%
12 1
 
3.3%
8 1
 
3.3%
7 3
 
10.0%
3 1
 
3.3%
1 6
 
20.0%
0 17
56.7%

8월입사자수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9666667
Minimum0
Maximum8
Zeros14
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:02.679401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile7
Maximum8
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.5391192
Coefficient of variation (CV)1.2910776
Kurtosis0.29186046
Mean1.9666667
Median Absolute Deviation (MAD)1
Skewness1.1909711
Sum59
Variance6.4471264
MonotonicityNot monotonic
2023-12-10T22:44:02.911769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 14
46.7%
3 7
23.3%
1 4
 
13.3%
7 3
 
10.0%
5 1
 
3.3%
8 1
 
3.3%
ValueCountFrequency (%)
0 14
46.7%
1 4
 
13.3%
3 7
23.3%
5 1
 
3.3%
7 3
 
10.0%
8 1
 
3.3%
ValueCountFrequency (%)
8 1
 
3.3%
7 3
 
10.0%
5 1
 
3.3%
3 7
23.3%
1 4
 
13.3%
0 14
46.7%

9월입사자수
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
14 
1
5
3
7
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row5

Common Values

ValueCountFrequency (%)
0 14
46.7%
1 9
30.0%
5 3
 
10.0%
3 3
 
10.0%
7 1
 
3.3%

Length

2023-12-10T22:44:03.198404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:44:03.426498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 14
46.7%
1 9
30.0%
5 3
 
10.0%
3 3
 
10.0%
7 1
 
3.3%

10월입사자수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8
Minimum0
Maximum31
Zeros16
Zeros (%)53.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:03.603900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.5
95-th percentile12.5
Maximum31
Range31
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation6.4187226
Coefficient of variation (CV)2.2924009
Kurtosis13.532176
Mean2.8
Median Absolute Deviation (MAD)0
Skewness3.5101651
Sum84
Variance41.2
MonotonicityNot monotonic
2023-12-10T22:44:03.763568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 16
53.3%
1 6
 
20.0%
7 3
 
10.0%
3 3
 
10.0%
31 1
 
3.3%
17 1
 
3.3%
ValueCountFrequency (%)
0 16
53.3%
1 6
 
20.0%
3 3
 
10.0%
7 3
 
10.0%
17 1
 
3.3%
31 1
 
3.3%
ValueCountFrequency (%)
31 1
 
3.3%
17 1
 
3.3%
7 3
 
10.0%
3 3
 
10.0%
1 6
 
20.0%
0 16
53.3%

11월입사자수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8
Minimum0
Maximum31
Zeros16
Zeros (%)53.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:03.995266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.5
95-th percentile12.5
Maximum31
Range31
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation6.4187226
Coefficient of variation (CV)2.2924009
Kurtosis13.532176
Mean2.8
Median Absolute Deviation (MAD)0
Skewness3.5101651
Sum84
Variance41.2
MonotonicityNot monotonic
2023-12-10T22:44:04.181724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 16
53.3%
1 6
 
20.0%
7 3
 
10.0%
3 3
 
10.0%
31 1
 
3.3%
17 1
 
3.3%
ValueCountFrequency (%)
0 16
53.3%
1 6
 
20.0%
3 3
 
10.0%
7 3
 
10.0%
17 1
 
3.3%
31 1
 
3.3%
ValueCountFrequency (%)
31 1
 
3.3%
17 1
 
3.3%
7 3
 
10.0%
3 3
 
10.0%
1 6
 
20.0%
0 16
53.3%

12월입사자수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5333333
Minimum0
Maximum22
Zeros13
Zeros (%)43.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:04.439598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile12
Maximum22
Range22
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.8190236
Coefficient of variation (CV)1.9022462
Kurtosis9.2727274
Mean2.5333333
Median Absolute Deviation (MAD)1
Skewness2.9262607
Sum76
Variance23.222989
MonotonicityNot monotonic
2023-12-10T22:44:04.623832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 13
43.3%
1 8
26.7%
3 4
 
13.3%
12 2
 
6.7%
5 2
 
6.7%
22 1
 
3.3%
ValueCountFrequency (%)
0 13
43.3%
1 8
26.7%
3 4
 
13.3%
5 2
 
6.7%
12 2
 
6.7%
22 1
 
3.3%
ValueCountFrequency (%)
22 1
 
3.3%
12 2
 
6.7%
5 2
 
6.7%
3 4
 
13.3%
1 8
26.7%
0 13
43.3%

1월퇴사자수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7666667
Minimum0
Maximum10
Zeros14
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:04.865626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile8
Maximum10
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.8488756
Coefficient of variation (CV)1.6125711
Kurtosis2.2124907
Mean1.7666667
Median Absolute Deviation (MAD)1
Skewness1.8250017
Sum53
Variance8.116092
MonotonicityNot monotonic
2023-12-10T22:44:05.037883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 14
46.7%
1 9
30.0%
3 2
 
6.7%
8 2
 
6.7%
7 1
 
3.3%
5 1
 
3.3%
10 1
 
3.3%
ValueCountFrequency (%)
0 14
46.7%
1 9
30.0%
3 2
 
6.7%
5 1
 
3.3%
7 1
 
3.3%
8 2
 
6.7%
10 1
 
3.3%
ValueCountFrequency (%)
10 1
 
3.3%
8 2
 
6.7%
7 1
 
3.3%
5 1
 
3.3%
3 2
 
6.7%
1 9
30.0%
0 14
46.7%

2월퇴사자수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5333333
Minimum0
Maximum24
Zeros16
Zeros (%)53.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:05.212629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.5
95-th percentile10.85
Maximum24
Range24
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation5.144353
Coefficient of variation (CV)2.0306657
Kurtosis10.668376
Mean2.5333333
Median Absolute Deviation (MAD)0
Skewness3.0778222
Sum76
Variance26.464368
MonotonicityNot monotonic
2023-12-10T22:44:05.400444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 16
53.3%
1 6
 
20.0%
5 3
 
10.0%
7 2
 
6.7%
3 1
 
3.3%
14 1
 
3.3%
24 1
 
3.3%
ValueCountFrequency (%)
0 16
53.3%
1 6
 
20.0%
3 1
 
3.3%
5 3
 
10.0%
7 2
 
6.7%
14 1
 
3.3%
24 1
 
3.3%
ValueCountFrequency (%)
24 1
 
3.3%
14 1
 
3.3%
7 2
 
6.7%
5 3
 
10.0%
3 1
 
3.3%
1 6
 
20.0%
0 16
53.3%

3월퇴사자수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2
Minimum0
Maximum17
Zeros15
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:05.657238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q33
95-th percentile7.55
Maximum17
Range17
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.5911769
Coefficient of variation (CV)1.7955885
Kurtosis10.169345
Mean2
Median Absolute Deviation (MAD)0.5
Skewness2.9101116
Sum60
Variance12.896552
MonotonicityNot monotonic
2023-12-10T22:44:05.948045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 15
50.0%
1 6
 
20.0%
3 4
 
13.3%
5 2
 
6.7%
17 1
 
3.3%
7 1
 
3.3%
8 1
 
3.3%
ValueCountFrequency (%)
0 15
50.0%
1 6
 
20.0%
3 4
 
13.3%
5 2
 
6.7%
7 1
 
3.3%
8 1
 
3.3%
17 1
 
3.3%
ValueCountFrequency (%)
17 1
 
3.3%
8 1
 
3.3%
7 1
 
3.3%
5 2
 
6.7%
3 4
 
13.3%
1 6
 
20.0%
0 15
50.0%

4월퇴사자수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8
Minimum0
Maximum14
Zeros17
Zeros (%)56.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:06.163629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9.1
Maximum14
Range14
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.4079016
Coefficient of variation (CV)1.8932786
Kurtosis5.6406053
Mean1.8
Median Absolute Deviation (MAD)0
Skewness2.4012042
Sum54
Variance11.613793
MonotonicityNot monotonic
2023-12-10T22:44:06.402754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 17
56.7%
1 6
 
20.0%
5 2
 
6.7%
3 2
 
6.7%
14 1
 
3.3%
8 1
 
3.3%
10 1
 
3.3%
ValueCountFrequency (%)
0 17
56.7%
1 6
 
20.0%
3 2
 
6.7%
5 2
 
6.7%
8 1
 
3.3%
10 1
 
3.3%
14 1
 
3.3%
ValueCountFrequency (%)
14 1
 
3.3%
10 1
 
3.3%
8 1
 
3.3%
5 2
 
6.7%
3 2
 
6.7%
1 6
 
20.0%
0 17
56.7%

5월퇴사자수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6333333
Minimum0
Maximum14
Zeros15
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:06.609105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q32.5
95-th percentile6.65
Maximum14
Range14
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation2.9767297
Coefficient of variation (CV)1.8224876
Kurtosis10.323681
Mean1.6333333
Median Absolute Deviation (MAD)0.5
Skewness2.9879054
Sum49
Variance8.8609195
MonotonicityNot monotonic
2023-12-10T22:44:06.849387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 15
50.0%
1 7
23.3%
3 5
 
16.7%
5 1
 
3.3%
14 1
 
3.3%
8 1
 
3.3%
ValueCountFrequency (%)
0 15
50.0%
1 7
23.3%
3 5
 
16.7%
5 1
 
3.3%
8 1
 
3.3%
14 1
 
3.3%
ValueCountFrequency (%)
14 1
 
3.3%
8 1
 
3.3%
5 1
 
3.3%
3 5
 
16.7%
1 7
23.3%
0 15
50.0%

6월퇴사자수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4
Minimum0
Maximum66
Zeros10
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:07.052188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32.5
95-th percentile7.55
Maximum66
Range66
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation11.97411
Coefficient of variation (CV)2.9935275
Kurtosis27.160988
Mean4
Median Absolute Deviation (MAD)1
Skewness5.1111355
Sum120
Variance143.37931
MonotonicityNot monotonic
2023-12-10T22:44:07.365787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 12
40.0%
0 10
33.3%
7 3
 
10.0%
5 2
 
6.7%
66 1
 
3.3%
8 1
 
3.3%
3 1
 
3.3%
ValueCountFrequency (%)
0 10
33.3%
1 12
40.0%
3 1
 
3.3%
5 2
 
6.7%
7 3
 
10.0%
8 1
 
3.3%
66 1
 
3.3%
ValueCountFrequency (%)
66 1
 
3.3%
8 1
 
3.3%
7 3
 
10.0%
5 2
 
6.7%
3 1
 
3.3%
1 12
40.0%
0 10
33.3%

7월퇴사자수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6
Minimum0
Maximum17
Zeros13
Zeros (%)43.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:07.556749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile11.3
Maximum17
Range17
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.2312467
Coefficient of variation (CV)1.6274026
Kurtosis4.9111519
Mean2.6
Median Absolute Deviation (MAD)1
Skewness2.2273446
Sum78
Variance17.903448
MonotonicityNot monotonic
2023-12-10T22:44:07.755817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 13
43.3%
1 7
23.3%
5 3
 
10.0%
3 3
 
10.0%
8 2
 
6.7%
17 1
 
3.3%
14 1
 
3.3%
ValueCountFrequency (%)
0 13
43.3%
1 7
23.3%
3 3
 
10.0%
5 3
 
10.0%
8 2
 
6.7%
14 1
 
3.3%
17 1
 
3.3%
ValueCountFrequency (%)
17 1
 
3.3%
14 1
 
3.3%
8 2
 
6.7%
5 3
 
10.0%
3 3
 
10.0%
1 7
23.3%
0 13
43.3%

8월퇴사자수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2
Minimum0
Maximum14
Zeros16
Zeros (%)53.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:07.946636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.5
95-th percentile9.75
Maximum14
Range14
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation3.6007662
Coefficient of variation (CV)1.8003831
Kurtosis4.8213057
Mean2
Median Absolute Deviation (MAD)0
Skewness2.2744019
Sum60
Variance12.965517
MonotonicityNot monotonic
2023-12-10T22:44:08.181817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 16
53.3%
1 6
 
20.0%
3 3
 
10.0%
7 2
 
6.7%
12 1
 
3.3%
14 1
 
3.3%
5 1
 
3.3%
ValueCountFrequency (%)
0 16
53.3%
1 6
 
20.0%
3 3
 
10.0%
5 1
 
3.3%
7 2
 
6.7%
12 1
 
3.3%
14 1
 
3.3%
ValueCountFrequency (%)
14 1
 
3.3%
12 1
 
3.3%
7 2
 
6.7%
5 1
 
3.3%
3 3
 
10.0%
1 6
 
20.0%
0 16
53.3%

9월퇴사자수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8666667
Minimum0
Maximum12
Zeros12
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:08.406012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile7.55
Maximum12
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.921187
Coefficient of variation (CV)1.5649216
Kurtosis4.2918118
Mean1.8666667
Median Absolute Deviation (MAD)1
Skewness2.0973037
Sum56
Variance8.5333333
MonotonicityNot monotonic
2023-12-10T22:44:08.600582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 12
40.0%
1 11
36.7%
5 3
 
10.0%
8 1
 
3.3%
12 1
 
3.3%
3 1
 
3.3%
7 1
 
3.3%
ValueCountFrequency (%)
0 12
40.0%
1 11
36.7%
3 1
 
3.3%
5 3
 
10.0%
7 1
 
3.3%
8 1
 
3.3%
12 1
 
3.3%
ValueCountFrequency (%)
12 1
 
3.3%
8 1
 
3.3%
7 1
 
3.3%
5 3
 
10.0%
3 1
 
3.3%
1 11
36.7%
0 12
40.0%

10월퇴사자수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5666667
Minimum0
Maximum19
Zeros18
Zeros (%)60.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:08.755601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8.85
Maximum19
Range19
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.0401718
Coefficient of variation (CV)2.5788331
Kurtosis13.29508
Mean1.5666667
Median Absolute Deviation (MAD)0
Skewness3.5892862
Sum47
Variance16.322989
MonotonicityNot monotonic
2023-12-10T22:44:08.921007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 18
60.0%
1 8
26.7%
19 1
 
3.3%
12 1
 
3.3%
3 1
 
3.3%
5 1
 
3.3%
ValueCountFrequency (%)
0 18
60.0%
1 8
26.7%
3 1
 
3.3%
5 1
 
3.3%
12 1
 
3.3%
19 1
 
3.3%
ValueCountFrequency (%)
19 1
 
3.3%
12 1
 
3.3%
5 1
 
3.3%
3 1
 
3.3%
1 8
26.7%
0 18
60.0%

11월퇴사자수
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8666667
Minimum0
Maximum19
Zeros11
Zeros (%)36.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:09.106838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34.5
95-th percentile11.1
Maximum19
Range19
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation4.5541443
Coefficient of variation (CV)1.588655
Kurtosis4.6605675
Mean2.8666667
Median Absolute Deviation (MAD)1
Skewness2.1367262
Sum86
Variance20.74023
MonotonicityNot monotonic
2023-12-10T22:44:09.293245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 11
36.7%
1 10
33.3%
5 3
 
10.0%
10 2
 
6.7%
19 1
 
3.3%
12 1
 
3.3%
7 1
 
3.3%
3 1
 
3.3%
ValueCountFrequency (%)
0 11
36.7%
1 10
33.3%
3 1
 
3.3%
5 3
 
10.0%
7 1
 
3.3%
10 2
 
6.7%
12 1
 
3.3%
19 1
 
3.3%
ValueCountFrequency (%)
19 1
 
3.3%
12 1
 
3.3%
10 2
 
6.7%
7 1
 
3.3%
5 3
 
10.0%
3 1
 
3.3%
1 10
33.3%
0 11
36.7%

12월퇴사자수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9666667
Minimum0
Maximum44
Zeros14
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:09.462300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile10
Maximum44
Range44
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.1979111
Coefficient of variation (CV)2.7633408
Kurtosis23.345918
Mean2.9666667
Median Absolute Deviation (MAD)1
Skewness4.6517261
Sum89
Variance67.205747
MonotonicityNot monotonic
2023-12-10T22:44:09.594051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 14
46.7%
1 9
30.0%
10 2
 
6.7%
5 2
 
6.7%
3 2
 
6.7%
44 1
 
3.3%
ValueCountFrequency (%)
0 14
46.7%
1 9
30.0%
3 2
 
6.7%
5 2
 
6.7%
10 2
 
6.7%
44 1
 
3.3%
ValueCountFrequency (%)
44 1
 
3.3%
10 2
 
6.7%
5 2
 
6.7%
3 2
 
6.7%
1 9
30.0%
0 14
46.7%

1월평균연봉
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41082912
Minimum21429324
Maximum60364800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:09.776916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21429324
5-th percentile26275140
Q133424630
median39350003
Q347689265
95-th percentile57199569
Maximum60364800
Range38935476
Interquartile range (IQR)14264635

Descriptive statistics

Standard deviation10460906
Coefficient of variation (CV)0.25462913
Kurtosis-0.83726545
Mean41082912
Median Absolute Deviation (MAD)6328816.5
Skewness0.14415965
Sum1.2324874 × 109
Variance1.0943056 × 1014
MonotonicityNot monotonic
2023-12-10T22:44:09.983513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
33046933 1
 
3.3%
33457066 1
 
3.3%
45483063 1
 
3.3%
43138957 1
 
3.3%
53386419 1
 
3.3%
53408832 1
 
3.3%
36780861 1
 
3.3%
56436480 1
 
3.3%
21429324 1
 
3.3%
57823914 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
21429324 1
3.3%
25293434 1
3.3%
27475003 1
3.3%
27529975 1
3.3%
29630300 1
3.3%
32799874 1
3.3%
33046933 1
3.3%
33413818 1
3.3%
33457066 1
3.3%
34880176 1
3.3%
ValueCountFrequency (%)
60364800 1
3.3%
57823914 1
3.3%
56436480 1
3.3%
54987224 1
3.3%
54390400 1
3.3%
53408832 1
3.3%
53386419 1
3.3%
48350831 1
3.3%
45704566 1
3.3%
45483063 1
3.3%

2월평균연봉
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41104315
Minimum21467436
Maximum60364800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:10.187699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21467436
5-th percentile26243279
Q133443390
median39340388
Q348587353
95-th percentile57553118
Maximum60364800
Range38897364
Interquartile range (IQR)15143963

Descriptive statistics

Standard deviation10525610
Coefficient of variation (CV)0.25607068
Kurtosis-0.86028378
Mean41104315
Median Absolute Deviation (MAD)6267534.5
Skewness0.16756882
Sum1.2331294 × 109
Variance1.1078846 × 1014
MonotonicityNot monotonic
2023-12-10T22:44:10.380128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
33532104 1
 
3.3%
33247744 1
 
3.3%
45483063 1
 
3.3%
42390171 1
 
3.3%
53509543 1
 
3.3%
53359734 1
 
3.3%
36780861 1
 
3.3%
57222144 1
 
3.3%
21467436 1
 
3.3%
57823914 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
21467436 1
3.3%
25235504 1
3.3%
27475003 1
3.3%
27778377 1
3.3%
29741657 1
3.3%
32947994 1
3.3%
33247744 1
3.3%
33413818 1
3.3%
33532104 1
3.3%
34371456 1
3.3%
ValueCountFrequency (%)
60364800 1
3.3%
57823914 1
3.3%
57222144 1
3.3%
54987224 1
3.3%
54390400 1
3.3%
53509543 1
3.3%
53359734 1
3.3%
49119974 1
3.3%
46989489 1
3.3%
45483063 1
3.3%

3월평균연봉
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41093433
Minimum21479816
Maximum60364800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:10.958297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21479816
5-th percentile26257570
Q133589529
median38915398
Q348282192
95-th percentile57553118
Maximum60364800
Range38884984
Interquartile range (IQR)14692663

Descriptive statistics

Standard deviation10454344
Coefficient of variation (CV)0.25440424
Kurtosis-0.83288211
Mean41093433
Median Absolute Deviation (MAD)6482986
Skewness0.1786955
Sum1.232803 × 109
Variance1.092933 × 1014
MonotonicityNot monotonic
2023-12-10T22:44:11.176462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
33197653 1
 
3.3%
33586821 1
 
3.3%
45483063 1
 
3.3%
41132800 1
 
3.3%
53509543 1
 
3.3%
53014458 1
 
3.3%
37410304 1
 
3.3%
57222144 1
 
3.3%
21479816 1
 
3.3%
57823914 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
21479816 1
3.3%
25261488 1
3.3%
27475003 1
3.3%
28151466 1
3.3%
30327763 1
3.3%
32961070 1
3.3%
33197653 1
3.3%
33586821 1
3.3%
33597653 1
3.3%
34232907 1
3.3%
ValueCountFrequency (%)
60364800 1
3.3%
57823914 1
3.3%
57222144 1
3.3%
54987224 1
3.3%
54273255 1
3.3%
53509543 1
3.3%
53014458 1
3.3%
48951877 1
3.3%
46273137 1
3.3%
45483063 1
3.3%

4월평균연봉
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40947584
Minimum21479816
Maximum60364800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:11.384297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21479816
5-th percentile26238525
Q133570785
median38794172
Q347400284
95-th percentile57553118
Maximum60364800
Range38884984
Interquartile range (IQR)13829499

Descriptive statistics

Standard deviation10338030
Coefficient of variation (CV)0.25246984
Kurtosis-0.76959773
Mean40947584
Median Absolute Deviation (MAD)6177954.5
Skewness0.19607226
Sum1.2284275 × 109
Variance1.0687487 × 1014
MonotonicityNot monotonic
2023-12-10T22:44:11.577286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
33197653 1
 
3.3%
33586821 1
 
3.3%
44533943 1
 
3.3%
40088649 1
 
3.3%
53522895 1
 
3.3%
52580299 1
 
3.3%
37410304 1
 
3.3%
57222144 1
 
3.3%
21479816 1
 
3.3%
57823914 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
21479816 1
3.3%
25361256 1
3.3%
27310743 1
3.3%
28174769 1
3.3%
30354836 1
3.3%
32957797 1
3.3%
33197653 1
3.3%
33565440 1
3.3%
33586821 1
3.3%
34269335 1
3.3%
ValueCountFrequency (%)
60364800 1
3.3%
57823914 1
3.3%
57222144 1
3.3%
54151423 1
3.3%
53873012 1
3.3%
53522895 1
3.3%
52580299 1
3.3%
47776000 1
3.3%
46273137 1
3.3%
45313706 1
3.3%

5월평균연봉
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40815645
Minimum21307752
Maximum60364800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:11.780911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21307752
5-th percentile26238525
Q133426798
median39031952
Q346770264
95-th percentile57553118
Maximum60364800
Range39057048
Interquartile range (IQR)13343466

Descriptive statistics

Standard deviation10342582
Coefficient of variation (CV)0.25339749
Kurtosis-0.74921067
Mean40815645
Median Absolute Deviation (MAD)6202547
Skewness0.21487716
Sum1.2244694 × 109
Variance1.0696901 × 1014
MonotonicityNot monotonic
2023-12-10T22:44:12.052850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
33197653 1
 
3.3%
33266441 1
 
3.3%
44533943 1
 
3.3%
39752761 1
 
3.3%
53361600 1
 
3.3%
52605371 1
 
3.3%
36945432 1
 
3.3%
57222144 1
 
3.3%
21307752 1
 
3.3%
57823914 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
21307752 1
3.3%
25361256 1
3.3%
27310743 1
3.3%
28161173 1
3.3%
30264624 1
3.3%
32908612 1
3.3%
33197653 1
3.3%
33266441 1
3.3%
33907868 1
3.3%
34531086 1
3.3%
ValueCountFrequency (%)
60364800 1
3.3%
57823914 1
3.3%
57222144 1
3.3%
54151423 1
3.3%
53752794 1
3.3%
53361600 1
3.3%
52605371 1
3.3%
47126432 1
3.3%
45701760 1
3.3%
45313706 1
3.3%

6월평균연봉
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40682234
Minimum21345724
Maximum60364800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:12.297345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21345724
5-th percentile26279651
Q133195710
median38957310
Q346575951
95-th percentile57553118
Maximum60364800
Range39019076
Interquartile range (IQR)13380241

Descriptive statistics

Standard deviation10400020
Coefficient of variation (CV)0.25564033
Kurtosis-0.79577589
Mean40682234
Median Absolute Deviation (MAD)6237786.5
Skewness0.23827471
Sum1.220467 × 109
Variance1.0816041 × 1014
MonotonicityNot monotonic
2023-12-10T22:44:12.503885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
33136746 1
 
3.3%
33210974 1
 
3.3%
45558954 1
 
3.3%
40114534 1
 
3.3%
53282828 1
 
3.3%
52675753 1
 
3.3%
35458782 1
 
3.3%
57222144 1
 
3.3%
21345724 1
 
3.3%
57823914 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
21345724 1
3.3%
25397662 1
3.3%
27357637 1
3.3%
28105920 1
3.3%
30184113 1
3.3%
32838133 1
3.3%
33136746 1
3.3%
33190622 1
3.3%
33210974 1
3.3%
34084693 1
3.3%
ValueCountFrequency (%)
60364800 1
3.3%
57823914 1
3.3%
57222144 1
3.3%
53936689 1
3.3%
53752794 1
3.3%
53282828 1
3.3%
52675753 1
3.3%
46914950 1
3.3%
45558954 1
3.3%
45313706 1
3.3%

7월평균연봉
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43133102
Minimum21899641
Maximum63705600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:12.720815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21899641
5-th percentile27896966
Q135177295
median41609764
Q348180546
95-th percentile60437392
Maximum63705600
Range41805959
Interquartile range (IQR)13003251

Descriptive statistics

Standard deviation10934540
Coefficient of variation (CV)0.25350693
Kurtosis-0.70674308
Mean43133102
Median Absolute Deviation (MAD)6561409.5
Skewness0.18984282
Sum1.2939931 × 109
Variance1.1956417 × 1014
MonotonicityNot monotonic
2023-12-10T22:44:12.960400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
35113706 1
 
3.3%
34756646 1
 
3.3%
47893674 1
 
3.3%
44713263 1
 
3.3%
58532593 1
 
3.3%
54852615 1
 
3.3%
38393472 1
 
3.3%
59260927 1
 
3.3%
21899641 1
 
3.3%
61399954 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
21899641 1
3.3%
27294343 1
3.3%
28633505 1
3.3%
29703456 1
3.3%
31958908 1
3.3%
34756646 1
3.3%
34983002 1
3.3%
35113706 1
3.3%
35368062 1
3.3%
35647443 1
3.3%
ValueCountFrequency (%)
63705600 1
3.3%
61399954 1
3.3%
59260927 1
3.3%
58532593 1
3.3%
56952615 1
3.3%
56822566 1
3.3%
54852615 1
3.3%
48276170 1
3.3%
47893674 1
3.3%
47216178 1
3.3%

8월평균연봉
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43126091
Minimum21967636
Maximum63705600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:13.195509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21967636
5-th percentile28043487
Q135514412
median42025386
Q347864048
95-th percentile60437392
Maximum63705600
Range41737964
Interquartile range (IQR)12349636

Descriptive statistics

Standard deviation10818535
Coefficient of variation (CV)0.25085823
Kurtosis-0.6394425
Mean43126091
Median Absolute Deviation (MAD)6510002.5
Skewness0.20002637
Sum1.2937827 × 109
Variance1.1704069 × 1014
MonotonicityNot monotonic
2023-12-10T22:44:13.426405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
35398232 1
 
3.3%
34569747 1
 
3.3%
47332693 1
 
3.3%
44828033 1
 
3.3%
58518559 1
 
3.3%
54926832 1
 
3.3%
38393472 1
 
3.3%
59260927 1
 
3.3%
21967636 1
 
3.3%
61399954 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
21967636 1
3.3%
27121860 1
3.3%
29169919 1
3.3%
29703456 1
3.3%
32064769 1
3.3%
34569747 1
3.3%
35398232 1
3.3%
35513440 1
3.3%
35517328 1
3.3%
35899903 1
3.3%
ValueCountFrequency (%)
63705600 1
3.3%
61399954 1
3.3%
59260927 1
3.3%
58518559 1
3.3%
56693132 1
3.3%
56417791 1
3.3%
54926832 1
3.3%
48041166 1
3.3%
47332693 1
3.3%
47189333 1
3.3%

9월평균연봉
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43168410
Minimum21997817
Maximum63705600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:13.731484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21997817
5-th percentile27784680
Q135303958
median41544515
Q349339548
95-th percentile60437392
Maximum63705600
Range41707783
Interquartile range (IQR)14035591

Descriptive statistics

Standard deviation10884430
Coefficient of variation (CV)0.25213878
Kurtosis-0.69199149
Mean43168410
Median Absolute Deviation (MAD)6589867.5
Skewness0.19394073
Sum1.2950523 × 109
Variance1.1847082 × 1014
MonotonicityNot monotonic
2023-12-10T22:44:13.947319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
35398232 1
 
3.3%
34926293 1
 
3.3%
46424959 1
 
3.3%
45222704 1
 
3.3%
58399811 1
 
3.3%
54933764 1
 
3.3%
38393472 1
 
3.3%
59260927 1
 
3.3%
21997817 1
 
3.3%
61399954 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
21997817 1
3.3%
27068854 1
3.3%
28659578 1
3.3%
30250910 1
3.3%
32273436 1
3.3%
34926293 1
3.3%
34983002 1
3.3%
35272533 1
3.3%
35398232 1
3.3%
35899903 1
3.3%
ValueCountFrequency (%)
63705600 1
3.3%
61399954 1
3.3%
59260927 1
3.3%
58399811 1
3.3%
57168393 1
3.3%
56417791 1
3.3%
54933764 1
3.3%
49722026 1
3.3%
48192116 1
3.3%
46874788 1
3.3%

10월평균연봉
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43166284
Minimum21936847
Maximum63705600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:14.151918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21936847
5-th percentile27949067
Q135498178
median41862371
Q349343507
95-th percentile60437392
Maximum63705600
Range41768753
Interquartile range (IQR)13845329

Descriptive statistics

Standard deviation10868109
Coefficient of variation (CV)0.25177309
Kurtosis-0.68611973
Mean43166284
Median Absolute Deviation (MAD)6564930.5
Skewness0.19469826
Sum1.2949885 × 109
Variance1.1811578 × 1014
MonotonicityNot monotonic
2023-12-10T22:44:14.377335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
35398232 1
 
3.3%
35816261 1
 
3.3%
46422799 1
 
3.3%
45148189 1
 
3.3%
58527931 1
 
3.3%
54533812 1
 
3.3%
37199661 1
 
3.3%
59260927 1
 
3.3%
21936847 1
 
3.3%
61399954 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
21936847 1
3.3%
27082144 1
3.3%
29008639 1
3.3%
30120350 1
3.3%
32305600 1
3.3%
34983002 1
3.3%
35196649 1
3.3%
35398232 1
3.3%
35798016 1
3.3%
35816261 1
3.3%
ValueCountFrequency (%)
63705600 1
3.3%
61399954 1
3.3%
59260927 1
3.3%
58527931 1
3.3%
57174638 1
3.3%
56282832 1
3.3%
54533812 1
3.3%
49722026 1
3.3%
48207950 1
3.3%
46874788 1
3.3%

11월평균연봉
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43168128
Minimum21916496
Maximum63705600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:14.591653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21916496
5-th percentile27835827
Q135475171
median41862371
Q349277096
95-th percentile60437392
Maximum63705600
Range41789104
Interquartile range (IQR)13801925

Descriptive statistics

Standard deviation10820094
Coefficient of variation (CV)0.25065006
Kurtosis-0.64971667
Mean43168128
Median Absolute Deviation (MAD)6537994
Skewness0.17617362
Sum1.2950438 × 109
Variance1.1707443 × 1014
MonotonicityNot monotonic
2023-12-10T22:44:14.779546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
35398232 1
 
3.3%
37208552 1
 
3.3%
45686303 1
 
3.3%
45855413 1
 
3.3%
58593160 1
 
3.3%
54245746 1
 
3.3%
37493599 1
 
3.3%
59260927 1
 
3.3%
21916496 1
 
3.3%
61399954 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
21916496 1
3.3%
27238771 1
3.3%
28565563 1
3.3%
30045257 1
3.3%
31781383 1
3.3%
34983002 1
3.3%
35250522 1
3.3%
35398232 1
3.3%
35705989 1
3.3%
37208552 1
3.3%
ValueCountFrequency (%)
63705600 1
3.3%
61399954 1
3.3%
59260927 1
3.3%
58593160 1
3.3%
56758104 1
3.3%
55887871 1
3.3%
54245746 1
3.3%
49722026 1
3.3%
47942306 1
3.3%
46874788 1
3.3%

12월평균연봉
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42953493
Minimum22299952
Maximum63705600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:14.973233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22299952
5-th percentile27796972
Q135475171
median41862371
Q349158598
95-th percentile60123045
Maximum63705600
Range41405648
Interquartile range (IQR)13683426

Descriptive statistics

Standard deviation10629571
Coefficient of variation (CV)0.24746697
Kurtosis-0.60441498
Mean42953493
Median Absolute Deviation (MAD)6492528
Skewness0.17036318
Sum1.2886048 × 109
Variance1.1298778 × 1014
MonotonicityNot monotonic
2023-12-10T22:44:15.170322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
35398232 1
 
3.3%
37332368 1
 
3.3%
45337212 1
 
3.3%
45512896 1
 
3.3%
58562379 1
 
3.3%
54177560 1
 
3.3%
37936469 1
 
3.3%
55772671 1
 
3.3%
22299952 1
 
3.3%
61399954 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
22299952 1
3.3%
27230839 1
3.3%
28488912 1
3.3%
28841369 1
3.3%
31969199 1
3.3%
34983002 1
3.3%
35341454 1
3.3%
35398232 1
3.3%
35705989 1
3.3%
37332368 1
3.3%
ValueCountFrequency (%)
63705600 1
3.3%
61399954 1
3.3%
58562379 1
3.3%
56411628 1
3.3%
55772671 1
3.3%
55743098 1
3.3%
54177560 1
3.3%
49722026 1
3.3%
47468313 1
3.3%
46874788 1
3.3%

Sample

기업코드기준년도기업명사업자번호1월종업원수2월종업원수3월종업원수4월종업원수5월종업원수6월종업원수7월종업원수8월종업원수9월종업원수10월종업원수11월종업원수12월종업원수1월입사자수2월입사자수3월입사자수4월입사자수5월입사자수6월입사자수7월입사자수8월입사자수9월입사자수10월입사자수11월입사자수12월입사자수1월퇴사자수2월퇴사자수3월퇴사자수4월퇴사자수5월퇴사자수6월퇴사자수7월퇴사자수8월퇴사자수9월퇴사자수10월퇴사자수11월퇴사자수12월퇴사자수1월평균연봉2월평균연봉3월평균연봉4월평균연봉5월평균연봉6월평균연봉7월평균연봉8월평균연봉9월평균연봉10월평균연봉11월평균연봉12월평균연봉
040012022농매디드190-81-34221424042424242424040404040003030000000110030100000330469333353210433197653331976533319765333136746351137063539823235398232353982323539823235398232
140022022반료튜투자자문130-86-01364101010101010101010101010000000010000000000010000453137064531370645313706453137064531370645313706471893334718933349722026497220264972202649722026
240032022합쇼울요리학원100-81-676825149424542424040363636441107100011112373511031151275299752777837728151466281747692816117328105920297034562970345630250910301203503004525728841369
340042022비매징지스톤타이어세일즈코리아120-81-60944919189888889919391899193000011100111011000011000543904005439040054273255541514235415142353936689569526155669313257168393571746385675810456411628
440052022엠자신스나노켐580-81-3720910310510010310711210711211612111912373137073500221700151001191443094344404902444216409443654944381981343905919472161784602400045448106457839304606776445685650
540062022씽패자이오니아해운120-87-27297171917171717151515151515111000000000030001000000420119044047243642299904422999044229990442299904420832714208327142083271420832714208327142083271
640072022역쿠신스113-81-7961823423223523924124424124123723923923410588838311107555578701510327998743294799432961070329577973290861232838133353680623551732835272533351966493525052235341454
740082022질성영엔지니어링570-81-52073383842424040403535354040003001001770000301501101334138183341381833597653335654403390786833190622356474433589990335899903357980163570598935705989
840092022와합앙아이120-81-55591282931292931292829292929011010010001001101100010371356803652336935966293365233693453108634084693349830023551344034983002349830023498300234983002
940102022질영연에스450-86-363882202212121971971841191511461401211121075111497300151417114661712819100252934342523550425261488253612562536125625397662272943432712186027068854270821442723877127230839
기업코드기준년도기업명사업자번호1월종업원수2월종업원수3월종업원수4월종업원수5월종업원수6월종업원수7월종업원수8월종업원수9월종업원수10월종업원수11월종업원수12월종업원수1월입사자수2월입사자수3월입사자수4월입사자수5월입사자수6월입사자수7월입사자수8월입사자수9월입사자수10월입사자수11월입사자수12월입사자수1월퇴사자수2월퇴사자수3월퇴사자수4월퇴사자수5월퇴사자수6월퇴사자수7월퇴사자수8월퇴사자수9월퇴사자수10월퇴사자수11월퇴사자수12월퇴사자수1월평균연봉2월평균연봉3월평균연봉4월평균연봉5월평균연봉6월평균연봉7월평균연봉8월평균연봉9월평균연봉10월평균연봉11월평균연봉12월평균연봉
2040212022690-81-79356454545474745474547454547100111111113000030303110274750032747500327475003273107432731074327357637286335052916991928659578290086392856556328488912
2140222022터오융윈300-81-56612333333333335353135353535000011031000000001301000383378863833788638337886383378863833788637716991411362564196750240852351416414714164147141641471
2240232022부매알씨에스370-81-15880262626262626242424242424100000000000000001000000578239145782391457823914578239145782391457823914613999546139995461399954613999546139995461399954
2340242022젠웍서상운140-86-22093828082828280736568656665107111083335151038857171214293242146743621479816214798162130775221345724218996412196763621997817219368472191649622299952
2440252022티령밥바이오115-86-26998788888888888010000000000000000000000564364805722214457222144572221445722214457222144592609275926092759260927592609275926092755772671
2540262022섬매톤텔레텍118-86-59845363635353640353535292826100050000000010015005110367808613678086137410304374103043694543235458782383934723839347238393472371996613749359937936469
2640272022두조정공690-81-6064752451751952952652051751250851351751351715330377718551087571353534088325335973453014458525802995260537152675753548526155492683254933764545338125424574654177560
2740282022섬회자이엔지530-81-62348225223223221225227227225227230225225110130015001303010101515533864195350954353509543535228955336160053282828585325935851855958399811585279315859316058562379
2840292022합권메머스크물류서비스100-86-51642102103116123124128133142147151168177131210581275171712103113311031431389574239017141132800400886493975276140114534447132634482803345222704451481894585541345512896
2940302022흥영토텍490-81-37147494949494952525256565858000130131111001000101011454830634548306345483063445339434453394345558954478936744733269346424959464227994568630345337212