Overview

Dataset statistics

Number of variables79
Number of observations188
Missing cells2573
Missing cells (%)17.3%
Duplicate rows2
Duplicate rows (%)1.1%
Total size in memory125.5 KiB
Average record size in memory683.7 B

Variable types

Unsupported27
Categorical4
Numeric48

Dataset

Description표본은 산업분류상 제조업인 종업원 5인 이상 300인 이하의 중소업체를 산업중분류 및 종업원규모별로 층화한 후, 층화단순 임의추출법(Stratified Simple Random Sampling)에 의하여 추출, 구성하였습니다. 본 조사는 매월 1일에서 15일 사이에 실시되며 기업은행 임시조사원이 3,070개 표본업체를 직접 방문하여 조사합니다.
URLhttps://www.data.go.kr/data/15002000/fileData.do

Alerts

Dataset has 2 (1.1%) duplicate rowsDuplicates
업종별 생산지수 추이(2015년) has 9 (4.8%) missing valuesMissing
Unnamed: 2 has 11 (5.9%) missing valuesMissing
Unnamed: 3 has 14 (7.4%) missing valuesMissing
Unnamed: 4 has 14 (7.4%) missing valuesMissing
Unnamed: 5 has 14 (7.4%) missing valuesMissing
Unnamed: 6 has 14 (7.4%) missing valuesMissing
Unnamed: 7 has 14 (7.4%) missing valuesMissing
Unnamed: 8 has 37 (19.7%) missing valuesMissing
Unnamed: 9 has 37 (19.7%) missing valuesMissing
Unnamed: 10 has 37 (19.7%) missing valuesMissing
Unnamed: 11 has 37 (19.7%) missing valuesMissing
Unnamed: 12 has 37 (19.7%) missing valuesMissing
Unnamed: 13 has 34 (18.1%) missing valuesMissing
Unnamed: 14 has 14 (7.4%) missing valuesMissing
Unnamed: 15 has 14 (7.4%) missing valuesMissing
Unnamed: 16 has 37 (19.7%) missing valuesMissing
Unnamed: 17 has 37 (19.7%) missing valuesMissing
Unnamed: 18 has 37 (19.7%) missing valuesMissing
Unnamed: 19 has 11 (5.9%) missing valuesMissing
Unnamed: 20 has 188 (100.0%) missing valuesMissing
<생산지수> has 9 (4.8%) missing valuesMissing
Unnamed: 23 has 14 (7.4%) missing valuesMissing
Unnamed: 24 has 14 (7.4%) missing valuesMissing
Unnamed: 25 has 14 (7.4%) missing valuesMissing
Unnamed: 26 has 14 (7.4%) missing valuesMissing
Unnamed: 27 has 14 (7.4%) missing valuesMissing
Unnamed: 28 has 14 (7.4%) missing valuesMissing
Unnamed: 29 has 42 (22.3%) missing valuesMissing
Unnamed: 30 has 42 (22.3%) missing valuesMissing
Unnamed: 31 has 42 (22.3%) missing valuesMissing
Unnamed: 32 has 42 (22.3%) missing valuesMissing
Unnamed: 33 has 42 (22.3%) missing valuesMissing
Unnamed: 34 has 42 (22.3%) missing valuesMissing
Unnamed: 35 has 14 (7.4%) missing valuesMissing
Unnamed: 36 has 14 (7.4%) missing valuesMissing
Unnamed: 37 has 42 (22.3%) missing valuesMissing
Unnamed: 38 has 42 (22.3%) missing valuesMissing
Unnamed: 39 has 42 (22.3%) missing valuesMissing
Unnamed: 40 has 188 (100.0%) missing valuesMissing
<생산지수 전년동월대비 증감률> has 9 (4.8%) missing valuesMissing
Unnamed: 43 has 19 (10.1%) missing valuesMissing
Unnamed: 44 has 19 (10.1%) missing valuesMissing
Unnamed: 45 has 19 (10.1%) missing valuesMissing
Unnamed: 46 has 19 (10.1%) missing valuesMissing
Unnamed: 47 has 19 (10.1%) missing valuesMissing
Unnamed: 48 has 19 (10.1%) missing valuesMissing
Unnamed: 49 has 47 (25.0%) missing valuesMissing
Unnamed: 50 has 47 (25.0%) missing valuesMissing
Unnamed: 51 has 47 (25.0%) missing valuesMissing
Unnamed: 52 has 47 (25.0%) missing valuesMissing
Unnamed: 53 has 47 (25.0%) missing valuesMissing
Unnamed: 54 has 47 (25.0%) missing valuesMissing
Unnamed: 55 has 19 (10.1%) missing valuesMissing
Unnamed: 56 has 19 (10.1%) missing valuesMissing
Unnamed: 57 has 47 (25.0%) missing valuesMissing
Unnamed: 58 has 47 (25.0%) missing valuesMissing
Unnamed: 59 has 47 (25.0%) missing valuesMissing
Unnamed: 60 has 188 (100.0%) missing valuesMissing
<생산지수 전월대비 증감률> has 9 (4.8%) missing valuesMissing
Unnamed: 63 has 19 (10.1%) missing valuesMissing
Unnamed: 64 has 14 (7.4%) missing valuesMissing
Unnamed: 65 has 14 (7.4%) missing valuesMissing
Unnamed: 66 has 14 (7.4%) missing valuesMissing
Unnamed: 67 has 14 (7.4%) missing valuesMissing
Unnamed: 68 has 14 (7.4%) missing valuesMissing
Unnamed: 69 has 42 (22.3%) missing valuesMissing
Unnamed: 70 has 42 (22.3%) missing valuesMissing
Unnamed: 71 has 42 (22.3%) missing valuesMissing
Unnamed: 72 has 42 (22.3%) missing valuesMissing
Unnamed: 73 has 42 (22.3%) missing valuesMissing
Unnamed: 74 has 42 (22.3%) missing valuesMissing
Unnamed: 75 has 19 (10.1%) missing valuesMissing
Unnamed: 76 has 14 (7.4%) missing valuesMissing
Unnamed: 77 has 42 (22.3%) missing valuesMissing
Unnamed: 78 has 42 (22.3%) missing valuesMissing
업종별 생산지수 추이(2015년) is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 14 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 15 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 16 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 17 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 18 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 19 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 20 is an unsupported type, check if it needs cleaning or further analysisUnsupported
<생산지수> is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 35 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 36 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 37 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 38 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 39 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 40 is an unsupported type, check if it needs cleaning or further analysisUnsupported
<생산지수 전년동월대비 증감률> is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 55 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 56 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 57 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 58 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 59 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 60 is an unsupported type, check if it needs cleaning or further analysisUnsupported
<생산지수 전월대비 증감률> is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 75 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 76 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 77 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 78 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 8 has 5 (2.7%) zerosZeros
Unnamed: 9 has 5 (2.7%) zerosZeros
Unnamed: 10 has 5 (2.7%) zerosZeros
Unnamed: 11 has 5 (2.7%) zerosZeros
Unnamed: 12 has 5 (2.7%) zerosZeros
Unnamed: 13 has 5 (2.7%) zerosZeros
Unnamed: 53 has 2 (1.1%) zerosZeros
Unnamed: 54 has 2 (1.1%) zerosZeros
Unnamed: 67 has 4 (2.1%) zerosZeros
Unnamed: 69 has 3 (1.6%) zerosZeros
Unnamed: 70 has 2 (1.1%) zerosZeros
Unnamed: 73 has 2 (1.1%) zerosZeros

Reproduction

Analysis started2023-12-12 15:12:58.813459
Analysis finished2023-12-12 15:12:59.484751
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종별 생산지수 추이(2015년)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9
Missing (%)4.8%
Memory size1.6 KiB

Unnamed: 1
Categorical

Distinct26
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
44 
비금속 광물제품 제조업
 
6
기타제품 제조업
 
6
식료품 제조업
 
6
음료 제조업
 
6
Other values (21)
120 

Length

Max length22
Median length17
Mean length10.452128
Min length4

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row산업분류
2nd row제 조 업
3rd row식료품 제조업
4th row음료 제조업
5th row섬유제품 제조업;의복제외

Common Values

ValueCountFrequency (%)
<NA> 44
23.4%
비금속 광물제품 제조업 6
 
3.2%
기타제품 제조업 6
 
3.2%
식료품 제조업 6
 
3.2%
음료 제조업 6
 
3.2%
섬유제품 제조업;의복제외 6
 
3.2%
의복,의복액세서리및모피제품 6
 
3.2%
가죽,가방및신발제조업 6
 
3.2%
목재및나무제품 제조업;가구제외 6
 
3.2%
펄프,종이및종이제품제조업 6
 
3.2%
Other values (16) 90
47.9%

Length

2023-12-13T00:12:59.583372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제조업 72
 
18.9%
na 44
 
11.6%
및 30
 
7.9%
기타 12
 
3.2%
의료,정밀,광학기기 6
 
1.6%
업 6
 
1.6%
1차 6
 
1.6%
금속 6
 
1.6%
금속가공제품 6
 
1.6%
제조업;기계및가구제외 6
 
1.6%
Other values (32) 186
48.9%

Unnamed: 2
Real number (ℝ)

MISSING 

Distinct175
Distinct (%)98.9%
Missing11
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean169.74816
Minimum3
Maximum2015.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T00:12:59.727877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile82.18149
Q197.094673
median106.95114
Q3115.42507
95-th percentile150.64793
Maximum2015.1
Range2012.1
Interquartile range (IQR)18.330398

Descriptive statistics

Standard deviation346.80735
Coefficient of variation (CV)2.0430698
Kurtosis25.073182
Mean169.74816
Median Absolute Deviation (MAD)9.5133512
Skewness5.1647059
Sum30045.425
Variance120275.34
MonotonicityNot monotonic
2023-12-13T00:12:59.872036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.0 3
 
1.6%
98.72182372078686 1
 
0.5%
86.30797409076982 1
 
0.5%
110.06231471673036 1
 
0.5%
99.47879426491446 1
 
0.5%
110.25598637427522 1
 
0.5%
106.95114071083368 1
 
0.5%
101.27510561224813 1
 
0.5%
2011.1 1
 
0.5%
107.00819970167034 1
 
0.5%
Other values (165) 165
87.8%
(Missing) 11
 
5.9%
ValueCountFrequency (%)
3.0 3
1.6%
59.12571734073335 1
 
0.5%
61.56288732520716 1
 
0.5%
67.01578556054571 1
 
0.5%
73.56682258255869 1
 
0.5%
81.46213079154222 1
 
0.5%
81.92041921992642 1
 
0.5%
82.2467573134985 1
 
0.5%
83.26829498363433 1
 
0.5%
83.50842165469501 1
 
0.5%
ValueCountFrequency (%)
2015.1 1
0.5%
2014.1 1
0.5%
2013.1 1
0.5%
2012.1 1
0.5%
2011.1 1
0.5%
2010.1 1
0.5%
178.95118039592657 1
0.5%
160.26693491445488 1
0.5%
153.1893905422763 1
0.5%
150.01256754101132 1
0.5%

Unnamed: 3
Real number (ℝ)

MISSING 

Distinct174
Distinct (%)100.0%
Missing14
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean168.03335
Minimum57.623482
Maximum2015.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T00:13:00.029644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57.623482
5-th percentile80.635217
Q193.860802
median101.3406
Q3111.6893
95-th percentile145.95465
Maximum2015.2
Range1957.5765
Interquartile range (IQR)17.8285

Descriptive statistics

Standard deviation349.96512
Coefficient of variation (CV)2.0827123
Kurtosis24.665726
Mean168.03335
Median Absolute Deviation (MAD)9.3719955
Skewness5.1305016
Sum29237.803
Variance122475.58
MonotonicityNot monotonic
2023-12-13T00:13:00.203975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.69442691022248 1
 
0.5%
99.65225277241848 1
 
0.5%
112.53731559245544 1
 
0.5%
109.75918737551851 1
 
0.5%
101.2294123627278 1
 
0.5%
2011.2 1
 
0.5%
98.40159197991231 1
 
0.5%
89.47004446311063 1
 
0.5%
80.08506028993013 1
 
0.5%
96.94272043858679 1
 
0.5%
Other values (164) 164
87.2%
(Missing) 14
 
7.4%
ValueCountFrequency (%)
57.62348224221551 1
0.5%
58.640453714521335 1
0.5%
60.46261483587401 1
0.5%
64.88859031849313 1
0.5%
75.09371761826587 1
0.5%
75.29033630520803 1
0.5%
79.94735273930436 1
0.5%
80.07059800840071 1
0.5%
80.08506028993013 1
0.5%
80.93145563393065 1
0.5%
ValueCountFrequency (%)
2015.2 1
0.5%
2014.2 1
0.5%
2013.2 1
0.5%
2012.2 1
0.5%
2011.2 1
0.5%
2010.2 1
0.5%
159.8214686328314 1
0.5%
156.37200319250545 1
0.5%
152.87281372254947 1
0.5%
142.2294782503915 1
0.5%

Unnamed: 4
Real number (ℝ)

MISSING 

Distinct174
Distinct (%)100.0%
Missing14
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean180.01238
Minimum54.951436
Maximum2015.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T00:13:00.348415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54.951436
5-th percentile94.821983
Q1105.38128
median114.81667
Q3123.567
95-th percentile157.19576
Maximum2015.3
Range1960.3486
Interquartile range (IQR)18.185719

Descriptive statistics

Standard deviation347.73213
Coefficient of variation (CV)1.9317123
Kurtosis24.659179
Mean180.01238
Median Absolute Deviation (MAD)9.0241884
Skewness5.1295091
Sum31322.154
Variance120917.64
MonotonicityNot monotonic
2023-12-13T00:13:00.504951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
119.85193685049555 1
 
0.5%
106.99985991839496 1
 
0.5%
121.2727874438143 1
 
0.5%
119.30509524268177 1
 
0.5%
105.81589152160399 1
 
0.5%
2011.3 1
 
0.5%
116.13015104421439 1
 
0.5%
103.74792585271872 1
 
0.5%
95.41851871976287 1
 
0.5%
93.73932568376915 1
 
0.5%
Other values (164) 164
87.2%
(Missing) 14
 
7.4%
ValueCountFrequency (%)
54.951436365187334 1
0.5%
61.52387509336326 1
0.5%
66.89249653700317 1
0.5%
89.12390359687457 1
0.5%
91.76357036650671 1
0.5%
92.34603665559334 1
0.5%
92.86444969176047 1
0.5%
93.45465136963453 1
0.5%
93.73932568376915 1
0.5%
95.4049516780007 1
0.5%
ValueCountFrequency (%)
2015.3 1
0.5%
2014.3 1
0.5%
2013.3 1
0.5%
2012.3 1
0.5%
2011.3 1
0.5%
2010.3 1
0.5%
184.10009736578584 1
0.5%
165.23297101002106 1
0.5%
163.7609219668506 1
0.5%
153.66067833748394 1
0.5%

Unnamed: 5
Real number (ℝ)

MISSING 

Distinct174
Distinct (%)100.0%
Missing14
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean180.97166
Minimum57.146456
Maximum2015.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T00:13:01.023926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57.146456
5-th percentile94.906411
Q1104.25434
median115.40447
Q3125.24235
95-th percentile164.21751
Maximum2015.4
Range1958.2535
Interquartile range (IQR)20.988013

Descriptive statistics

Standard deviation347.62658
Coefficient of variation (CV)1.9208896
Kurtosis24.640916
Mean180.97166
Median Absolute Deviation (MAD)10.590865
Skewness5.126801
Sum31489.068
Variance120844.24
MonotonicityNot monotonic
2023-12-13T00:13:01.183642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
116.92010078771256 1
 
0.5%
101.92129786168641 1
 
0.5%
118.0618486160332 1
 
0.5%
118.4361808622136 1
 
0.5%
104.54962712680303 1
 
0.5%
2011.4 1
 
0.5%
117.85114462105756 1
 
0.5%
99.0280358695509 1
 
0.5%
101.05213472655805 1
 
0.5%
99.99500802842621 1
 
0.5%
Other values (164) 164
87.2%
(Missing) 14
 
7.4%
ValueCountFrequency (%)
57.1464564275311 1
0.5%
58.930196809681554 1
0.5%
70.11816967554078 1
0.5%
86.12207322220819 1
0.5%
86.28633303494188 1
0.5%
88.40697276142451 1
0.5%
90.43731444153832 1
0.5%
92.46050857289077 1
0.5%
94.58022939082763 1
0.5%
95.08204756992467 1
0.5%
ValueCountFrequency (%)
2015.4 1
0.5%
2014.4 1
0.5%
2013.4 1
0.5%
2012.4 1
0.5%
2011.4 1
0.5%
2010.4 1
0.5%
182.73640149516615 1
0.5%
174.2100260772196 1
0.5%
168.39798238583674 1
0.5%
161.9664939085272 1
0.5%

Unnamed: 6
Real number (ℝ)

MISSING 

Distinct174
Distinct (%)100.0%
Missing14
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean179.42348
Minimum57.103989
Maximum2015.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T00:13:01.360797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57.103989
5-th percentile94.010498
Q1102.17812
median113.46657
Q3125.14025
95-th percentile159.72199
Maximum2015.5
Range1958.396
Interquartile range (IQR)22.962129

Descriptive statistics

Standard deviation347.95324
Coefficient of variation (CV)1.9392848
Kurtosis24.636508
Mean179.42348
Median Absolute Deviation (MAD)11.540983
Skewness5.1261354
Sum31219.686
Variance121071.46
MonotonicityNot monotonic
2023-12-13T00:13:01.542186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
118.89408779167016 1
 
0.5%
101.86944162339881 1
 
0.5%
118.55372659887016 1
 
0.5%
121.0973408922992 1
 
0.5%
105.46907214860151 1
 
0.5%
2011.5 1
 
0.5%
115.32923267429123 1
 
0.5%
90.12012146828563 1
 
0.5%
102.07594143689562 1
 
0.5%
101.91224945460013 1
 
0.5%
Other values (164) 164
87.2%
(Missing) 14
 
7.4%
ValueCountFrequency (%)
57.10398917427252 1
0.5%
59.59253403209549 1
0.5%
64.7857746132242 1
0.5%
81.56568085497405 1
0.5%
85.93066478823795 1
0.5%
90.12012146828563 1
0.5%
92.62891665050155 1
0.5%
93.69582139856028 1
0.5%
93.71098287323873 1
0.5%
94.17177557404202 1
0.5%
ValueCountFrequency (%)
2015.5 1
0.5%
2014.5 1
0.5%
2013.5 1
0.5%
2012.5 1
0.5%
2011.5 1
0.5%
2010.5 1
0.5%
180.62637391818188 1
0.5%
167.70064518609908 1
0.5%
160.62306473189142 1
0.5%
159.23679097177285 1
0.5%

Unnamed: 7
Real number (ℝ)

MISSING 

Distinct174
Distinct (%)100.0%
Missing14
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean180.57402
Minimum57.933817
Maximum2015.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T00:13:01.693047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57.933817
5-th percentile93.676436
Q1104.66426
median114.39106
Q3124.74987
95-th percentile157.92488
Maximum2015.6
Range1957.6662
Interquartile range (IQR)20.085612

Descriptive statistics

Standard deviation347.72547
Coefficient of variation (CV)1.9256673
Kurtosis24.645547
Mean180.57402
Median Absolute Deviation (MAD)9.86401
Skewness5.1274474
Sum31419.879
Variance120913
MonotonicityNot monotonic
2023-12-13T00:13:01.855173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
115.80111051028297 1
 
0.5%
102.02753082106999 1
 
0.5%
121.85276783484147 1
 
0.5%
121.72373494161498 1
 
0.5%
104.0756040094583 1
 
0.5%
2011.6 1
 
0.5%
117.79703248348652 1
 
0.5%
98.42839320198577 1
 
0.5%
103.57885023000793 1
 
0.5%
145.79844543586879 1
 
0.5%
Other values (164) 164
87.2%
(Missing) 14
 
7.4%
ValueCountFrequency (%)
57.93381742777761 1
0.5%
60.6576701932525 1
0.5%
61.457488882528956 1
0.5%
83.77367251338225 1
0.5%
84.28546498917538 1
0.5%
89.22295532433489 1
0.5%
89.60270115152446 1
0.5%
92.41263844480142 1
0.5%
93.6409636782114 1
0.5%
93.69553630951863 1
0.5%
ValueCountFrequency (%)
2015.6 1
0.5%
2014.6 1
0.5%
2013.6 1
0.5%
2012.6 1
0.5%
2011.6 1
0.5%
2010.6 1
0.5%
166.7416118622054 1
0.5%
163.8697605906239 1
0.5%
160.20893543622344 1
0.5%
156.69500538825366 1
0.5%

Unnamed: 8
Real number (ℝ)

MISSING  ZEROS 

Distinct147
Distinct (%)97.4%
Missing37
Missing (%)19.7%
Infinite0
Infinite (%)0.0%
Mean184.34846
Minimum0
Maximum2015.7
Zeros5
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T00:13:02.040423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile86.203248
Q1101.54558
median111.36299
Q3121.90817
95-th percentile162.01804
Maximum2015.7
Range2015.7
Interquartile range (IQR)20.362594

Descriptive statistics

Standard deviation374.16628
Coefficient of variation (CV)2.0296687
Kurtosis20.705224
Mean184.34846
Median Absolute Deviation (MAD)10.445917
Skewness4.7218234
Sum27836.617
Variance140000.41
MonotonicityNot monotonic
2023-12-13T00:13:02.213301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5
 
2.7%
132.2703458147043 1
 
0.5%
98.25419633196987 1
 
0.5%
120.66922077634268 1
 
0.5%
119.54086511538982 1
 
0.5%
112.05947356285633 1
 
0.5%
114.86228753446991 1
 
0.5%
95.5526522961399 1
 
0.5%
100.87689846764134 1
 
0.5%
103.39839420121544 1
 
0.5%
Other values (137) 137
72.9%
(Missing) 37
 
19.7%
ValueCountFrequency (%)
0.0 5
2.7%
54.05868140413289 1
 
0.5%
61.739089438927195 1
 
0.5%
84.59764401195743 1
 
0.5%
87.80885120886957 1
 
0.5%
89.1156168183375 1
 
0.5%
90.65766761149196 1
 
0.5%
91.79261711859488 1
 
0.5%
92.70410607203263 1
 
0.5%
93.24606597132572 1
 
0.5%
ValueCountFrequency (%)
2015.7 1
0.5%
2014.7 1
0.5%
2013.7 1
0.5%
2012.7 1
0.5%
2011.7 1
0.5%
2010.7 1
0.5%
169.62873822723466 1
0.5%
163.51423512425995 1
0.5%
160.52184636262442 1
0.5%
160.48876784721512 1
0.5%

Unnamed: 9
Real number (ℝ)

MISSING  ZEROS 

Distinct147
Distinct (%)97.4%
Missing37
Missing (%)19.7%
Infinite0
Infinite (%)0.0%
Mean181.21859
Minimum0
Maximum2015.8
Zeros5
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T00:13:02.401652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile80.962177
Q199.15584
median108.50088
Q3118.05681
95-th percentile158.1586
Maximum2015.8
Range2015.8
Interquartile range (IQR)18.900968

Descriptive statistics

Standard deviation374.73454
Coefficient of variation (CV)2.0678593
Kurtosis20.728506
Mean181.21859
Median Absolute Deviation (MAD)9.4097034
Skewness4.7256758
Sum27364.007
Variance140425.98
MonotonicityNot monotonic
2023-12-13T00:13:02.604919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5
 
2.7%
134.55534020082436 1
 
0.5%
93.66352032300567 1
 
0.5%
114.29163051358857 1
 
0.5%
119.13325552561966 1
 
0.5%
115.16458246069013 1
 
0.5%
123.49209383206899 1
 
0.5%
95.6121607631924 1
 
0.5%
92.48098019480699 1
 
0.5%
101.9476827162918 1
 
0.5%
Other values (137) 137
72.9%
(Missing) 37
 
19.7%
ValueCountFrequency (%)
0.0 5
2.7%
53.58073133318534 1
 
0.5%
67.76113670115245 1
 
0.5%
75.99124992830414 1
 
0.5%
85.93310380332204 1
 
0.5%
86.96127928149407 1
 
0.5%
87.72432090205626 1
 
0.5%
87.76037436171599 1
 
0.5%
88.58124240712529 1
 
0.5%
90.52565133075515 1
 
0.5%
ValueCountFrequency (%)
2015.8 1
0.5%
2014.8 1
0.5%
2013.8 1
0.5%
2012.8 1
0.5%
2011.8 1
0.5%
2010.8 1
0.5%
164.35866200215287 1
0.5%
162.7179694996102 1
0.5%
153.5992366042948 1
0.5%
147.09501540605467 1
0.5%

Unnamed: 10
Real number (ℝ)

MISSING  ZEROS 

Distinct147
Distinct (%)97.4%
Missing37
Missing (%)19.7%
Infinite0
Infinite (%)0.0%
Mean180.74082
Minimum0
Maximum2015.9
Zeros5
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T00:13:02.827376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile79.338432
Q198.298319
median106.53627
Q3116.49502
95-th percentile144.00883
Maximum2015.9
Range2015.9
Interquartile range (IQR)18.196704

Descriptive statistics

Standard deviation374.84088
Coefficient of variation (CV)2.0739138
Kurtosis20.731487
Mean180.74082
Median Absolute Deviation (MAD)9.0894596
Skewness4.7261648
Sum27291.864
Variance140505.68
MonotonicityNot monotonic
2023-12-13T00:13:03.046256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5
 
2.7%
136.99508265772224 1
 
0.5%
102.45559208549881 1
 
0.5%
106.99224855308375 1
 
0.5%
111.55604582343146 1
 
0.5%
111.28036595962476 1
 
0.5%
123.81582072781809 1
 
0.5%
96.05540435398625 1
 
0.5%
84.8054204037014 1
 
0.5%
103.43891701431627 1
 
0.5%
Other values (137) 137
72.9%
(Missing) 37
 
19.7%
ValueCountFrequency (%)
0.0 5
2.7%
56.223169969606204 1
 
0.5%
67.35807991458294 1
 
0.5%
77.05144204370423 1
 
0.5%
81.62542244969762 1
 
0.5%
81.98163197648172 1
 
0.5%
84.8054204037014 1
 
0.5%
87.61812880417152 1
 
0.5%
87.9823122495182 1
 
0.5%
88.90822116530654 1
 
0.5%
ValueCountFrequency (%)
2015.9 1
0.5%
2014.9 1
0.5%
2013.9 1
0.5%
2012.9 1
0.5%
2011.9 1
0.5%
2010.9 1
0.5%
169.20836173299597 1
0.5%
146.28809274661728 1
0.5%
141.72956946227058 1
0.5%
140.13124964702016 1
0.5%

Unnamed: 11
Real number (ℝ)

MISSING  ZEROS 

Distinct147
Distinct (%)97.4%
Missing37
Missing (%)19.7%
Infinite0
Infinite (%)0.0%
Mean184.3564
Minimum0
Maximum2015.1
Zeros5
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T00:13:03.270466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile76.429536
Q1101.50064
median111.54055
Q3122.12569
95-th percentile157.39758
Maximum2015.1
Range2015.1
Interquartile range (IQR)20.625049

Descriptive statistics

Standard deviation374.04114
Coefficient of variation (CV)2.0289023
Kurtosis20.705425
Mean184.3564
Median Absolute Deviation (MAD)10.513165
Skewness4.7218431
Sum27837.817
Variance139906.77
MonotonicityNot monotonic
2023-12-13T00:13:03.502944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5
 
2.7%
142.61116773923595 1
 
0.5%
102.60024658438822 1
 
0.5%
113.2419749160872 1
 
0.5%
116.5264589630242 1
 
0.5%
113.5933776536219 1
 
0.5%
125.97231089879206 1
 
0.5%
101.81499997129823 1
 
0.5%
88.71820928324166 1
 
0.5%
104.75027840445088 1
 
0.5%
Other values (137) 137
72.9%
(Missing) 37
 
19.7%
ValueCountFrequency (%)
0.0 5
2.7%
60.09058256850363 1
 
0.5%
67.0028216675203 1
 
0.5%
67.29131294655069 1
 
0.5%
85.5677599568564 1
 
0.5%
86.85041001155524 1
 
0.5%
87.51647591874118 1
 
0.5%
87.57971156432592 1
 
0.5%
88.71820928324166 1
 
0.5%
91.61403141184921 1
 
0.5%
ValueCountFrequency (%)
2015.1 1
0.5%
2014.1 1
0.5%
2013.1 1
0.5%
2012.1 1
0.5%
2011.1 1
0.5%
2010.1 1
0.5%
173.26099097813628 1
0.5%
160.0253985064618 1
0.5%
154.76975720893927 1
0.5%
152.59827371703057 1
0.5%

Unnamed: 12
Real number (ℝ)

MISSING  ZEROS 

Distinct147
Distinct (%)97.4%
Missing37
Missing (%)19.7%
Infinite0
Infinite (%)0.0%
Mean184.34034
Minimum0
Maximum2015.11
Zeros5
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T00:13:03.652282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile74.815182
Q1103.50122
median110.85159
Q3120.19648
95-th percentile160.25208
Maximum2015.11
Range2015.11
Interquartile range (IQR)16.69526

Descriptive statistics

Standard deviation374.02176
Coefficient of variation (CV)2.0289741
Kurtosis20.711677
Mean184.34034
Median Absolute Deviation (MAD)8.2229376
Skewness4.7228547
Sum27835.391
Variance139892.28
MonotonicityNot monotonic
2023-12-13T00:13:03.788217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5
 
2.7%
143.6571347242687 1
 
0.5%
114.37197500302942 1
 
0.5%
101.00450672369166 1
 
0.5%
112.60339116887705 1
 
0.5%
121.49538056614584 1
 
0.5%
117.9668093876499 1
 
0.5%
110.85159182917153 1
 
0.5%
97.52935026786432 1
 
0.5%
101.63766784926183 1
 
0.5%
Other values (137) 137
72.9%
(Missing) 37
 
19.7%
ValueCountFrequency (%)
0.0 5
2.7%
60.22525181146998 1
 
0.5%
62.291960545895854 1
 
0.5%
69.68826155997779 1
 
0.5%
79.9421024778041 1
 
0.5%
87.37025601718243 1
 
0.5%
89.41571152112009 1
 
0.5%
89.63808972819065 1
 
0.5%
91.97686275531866 1
 
0.5%
93.48093055990448 1
 
0.5%
ValueCountFrequency (%)
2015.11 1
0.5%
2014.11 1
0.5%
2013.11 1
0.5%
2012.11 1
0.5%
2011.11 1
0.5%
2010.11 1
0.5%
173.34799683447503 1
0.5%
164.26975499592697 1
0.5%
156.23440408686784 1
0.5%
152.26936960549128 1
0.5%

Unnamed: 13
Real number (ℝ)

MISSING  ZEROS 

Distinct148
Distinct (%)96.1%
Missing34
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean183.76819
Minimum0
Maximum2015.12
Zeros5
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T00:13:03.924909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45.631061
Q1103.51667
median114.07182
Q3124.11998
95-th percentile164.41476
Maximum2015.12
Range2015.12
Interquartile range (IQR)20.603302

Descriptive statistics

Standard deviation370.64395
Coefficient of variation (CV)2.0169102
Kurtosis21.120533
Mean183.76819
Median Absolute Deviation (MAD)10.486735
Skewness4.7602524
Sum28300.302
Variance137376.93
MonotonicityNot monotonic
2023-12-13T00:13:04.068932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5
 
2.7%
14.0 3
 
1.6%
103.72189284869141 1
 
0.5%
97.8810008563975 1
 
0.5%
100.26950087650779 1
 
0.5%
96.49353967651743 1
 
0.5%
118.69833596289713 1
 
0.5%
122.40342628882144 1
 
0.5%
133.30567668525353 1
 
0.5%
103.44826813485962 1
 
0.5%
Other values (138) 138
73.4%
(Missing) 34
 
18.1%
ValueCountFrequency (%)
0.0 5
2.7%
14.0 3
1.6%
62.663170560580554 1
 
0.5%
63.563324213630324 1
 
0.5%
66.55307218909094 1
 
0.5%
85.54406084000394 1
 
0.5%
85.91182700440139 1
 
0.5%
88.9226694639534 1
 
0.5%
88.93300569335955 1
 
0.5%
91.40220999306139 1
 
0.5%
ValueCountFrequency (%)
2015.12 1
0.5%
2014.12 1
0.5%
2013.12 1
0.5%
2012.12 1
0.5%
2011.12 1
0.5%
2010.12 1
0.5%
169.4431642212297 1
0.5%
167.61367988094364 1
0.5%
162.69227179480364 1
0.5%
156.84821462778882 1
0.5%

Unnamed: 14
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing14
Missing (%)7.4%
Memory size1.6 KiB

Unnamed: 15
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing14
Missing (%)7.4%
Memory size1.6 KiB

Unnamed: 16
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)19.7%
Memory size1.6 KiB

Unnamed: 17
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)19.7%
Memory size1.6 KiB

Unnamed: 18
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)19.7%
Memory size1.6 KiB

Unnamed: 19
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing11
Missing (%)5.9%
Memory size1.6 KiB

Unnamed: 20
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing188
Missing (%)100.0%
Memory size1.8 KiB

<생산지수>
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9
Missing (%)4.8%
Memory size1.6 KiB

Unnamed: 22
Categorical

Distinct25
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
44 
제 조 업
 
6
식료품 제조업
 
6
음료 제조업
 
6
섬유제품 제조업;의복제외
 
6
Other values (20)
120 

Length

Max length22
Median length16
Mean length10.478723
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row섬유관련형
2nd row제 조 업
3rd row식료품 제조업
4th row음료 제조업
5th row섬유제품 제조업;의복제외

Common Values

ValueCountFrequency (%)
<NA> 44
23.4%
제 조 업 6
 
3.2%
식료품 제조업 6
 
3.2%
음료 제조업 6
 
3.2%
섬유제품 제조업;의복제외 6
 
3.2%
의복,의복액세서리및모피제품 6
 
3.2%
가죽,가방및신발제조업 6
 
3.2%
목재및나무제품 제조업;가구제외 6
 
3.2%
펄프,종이및종이제품제조업 6
 
3.2%
인쇄및기록매체복제업 6
 
3.2%
Other values (15) 90
47.9%

Length

2023-12-13T00:13:04.236333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제조업 72
 
18.9%
na 44
 
11.6%
및 30
 
7.9%
기타 12
 
3.2%
금속 6
 
1.6%
금속가공제품 6
 
1.6%
제조업;기계및가구제외 6
 
1.6%
전자부품,컴퓨터,영상,음향및통신장비제조업 6
 
1.6%
의료,정밀,광학기기 6
 
1.6%
시계 6
 
1.6%
Other values (31) 186
48.9%

Unnamed: 23
Real number (ℝ)

MISSING 

Distinct174
Distinct (%)100.0%
Missing14
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean172.62313
Minimum59.125717
Maximum2015.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T00:13:04.362880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum59.125717
5-th percentile84.387646
Q197.459542
median107.16539
Q3115.82466
95-th percentile151.12446
Maximum2015.1
Range1955.9743
Interquartile range (IQR)18.365113

Descriptive statistics

Standard deviation349.09964
Coefficient of variation (CV)2.0223225
Kurtosis24.658045
Mean172.62313
Median Absolute Deviation (MAD)9.3019113
Skewness5.1293753
Sum30036.425
Variance121870.56
MonotonicityNot monotonic
2023-12-13T00:13:04.509862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
109.61709161159328 1
 
0.5%
99.47879426491446 1
 
0.5%
110.25598637427522 1
 
0.5%
106.95114071083368 1
 
0.5%
101.27510561224813 1
 
0.5%
2011.1 1
 
0.5%
107.00819970167034 1
 
0.5%
108.32996059078394 1
 
0.5%
86.30797409076982 1
 
0.5%
104.24177032175017 1
 
0.5%
Other values (164) 164
87.2%
(Missing) 14
 
7.4%
ValueCountFrequency (%)
59.12571734073335 1
0.5%
61.56288732520716 1
0.5%
67.01578556054571 1
0.5%
73.56682258255869 1
0.5%
81.46213079154222 1
0.5%
81.92041921992642 1
0.5%
82.2467573134985 1
0.5%
83.26829498363433 1
0.5%
83.50842165469501 1
0.5%
84.86107373617867 1
0.5%
ValueCountFrequency (%)
2015.1 1
0.5%
2014.1 1
0.5%
2013.1 1
0.5%
2012.1 1
0.5%
2011.1 1
0.5%
2010.1 1
0.5%
178.95118039592657 1
0.5%
160.26693491445488 1
0.5%
153.1893905422763 1
0.5%
150.01256754101132 1
0.5%

Unnamed: 24
Real number (ℝ)

MISSING 

Distinct174
Distinct (%)100.0%
Missing14
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean168.03335
Minimum57.623482
Maximum2015.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T00:13:04.675324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57.623482
5-th percentile80.635217
Q193.860802
median101.3406
Q3111.6893
95-th percentile145.95465
Maximum2015.2
Range1957.5765
Interquartile range (IQR)17.8285

Descriptive statistics

Standard deviation349.96512
Coefficient of variation (CV)2.0827123
Kurtosis24.665726
Mean168.03335
Median Absolute Deviation (MAD)9.3719955
Skewness5.1305016
Sum29237.803
Variance122475.58
MonotonicityNot monotonic
2023-12-13T00:13:04.852170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.69442691022248 1
 
0.5%
99.65225277241848 1
 
0.5%
112.53731559245544 1
 
0.5%
109.75918737551851 1
 
0.5%
101.2294123627278 1
 
0.5%
2011.2 1
 
0.5%
98.40159197991231 1
 
0.5%
89.47004446311063 1
 
0.5%
80.08506028993013 1
 
0.5%
96.94272043858679 1
 
0.5%
Other values (164) 164
87.2%
(Missing) 14
 
7.4%
ValueCountFrequency (%)
57.62348224221551 1
0.5%
58.640453714521335 1
0.5%
60.46261483587401 1
0.5%
64.88859031849313 1
0.5%
75.09371761826587 1
0.5%
75.29033630520803 1
0.5%
79.94735273930436 1
0.5%
80.07059800840071 1
0.5%
80.08506028993013 1
0.5%
80.93145563393065 1
0.5%
ValueCountFrequency (%)
2015.2 1
0.5%
2014.2 1
0.5%
2013.2 1
0.5%
2012.2 1
0.5%
2011.2 1
0.5%
2010.2 1
0.5%
159.8214686328314 1
0.5%
156.37200319250545 1
0.5%
152.87281372254947 1
0.5%
142.2294782503915 1
0.5%

Unnamed: 25
Real number (ℝ)

MISSING 

Distinct174
Distinct (%)100.0%
Missing14
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean180.01238
Minimum54.951436
Maximum2015.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T00:13:05.018518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54.951436
5-th percentile94.821983
Q1105.38128
median114.81667
Q3123.567
95-th percentile157.19576
Maximum2015.3
Range1960.3486
Interquartile range (IQR)18.185719

Descriptive statistics

Standard deviation347.73213
Coefficient of variation (CV)1.9317123
Kurtosis24.659179
Mean180.01238
Median Absolute Deviation (MAD)9.0241884
Skewness5.1295091
Sum31322.154
Variance120917.64
MonotonicityNot monotonic
2023-12-13T00:13:05.445104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
119.85193685049555 1
 
0.5%
106.99985991839496 1
 
0.5%
121.2727874438143 1
 
0.5%
119.30509524268177 1
 
0.5%
105.81589152160399 1
 
0.5%
2011.3 1
 
0.5%
116.13015104421439 1
 
0.5%
103.74792585271872 1
 
0.5%
95.41851871976287 1
 
0.5%
93.73932568376915 1
 
0.5%
Other values (164) 164
87.2%
(Missing) 14
 
7.4%
ValueCountFrequency (%)
54.951436365187334 1
0.5%
61.52387509336326 1
0.5%
66.89249653700317 1
0.5%
89.12390359687457 1
0.5%
91.76357036650671 1
0.5%
92.34603665559334 1
0.5%
92.86444969176047 1
0.5%
93.45465136963453 1
0.5%
93.73932568376915 1
0.5%
95.4049516780007 1
0.5%
ValueCountFrequency (%)
2015.3 1
0.5%
2014.3 1
0.5%
2013.3 1
0.5%
2012.3 1
0.5%
2011.3 1
0.5%
2010.3 1
0.5%
184.10009736578584 1
0.5%
165.23297101002106 1
0.5%
163.7609219668506 1
0.5%
153.66067833748394 1
0.5%

Unnamed: 26
Real number (ℝ)

MISSING 

Distinct174
Distinct (%)100.0%
Missing14
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean180.97166
Minimum57.146456
Maximum2015.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T00:13:05.599596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57.146456
5-th percentile94.906411
Q1104.25434
median115.40447
Q3125.24235
95-th percentile164.21751
Maximum2015.4
Range1958.2535
Interquartile range (IQR)20.988013

Descriptive statistics

Standard deviation347.62658
Coefficient of variation (CV)1.9208896
Kurtosis24.640916
Mean180.97166
Median Absolute Deviation (MAD)10.590865
Skewness5.126801
Sum31489.068
Variance120844.24
MonotonicityNot monotonic
2023-12-13T00:13:05.750790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
116.92010078771256 1
 
0.5%
101.92129786168641 1
 
0.5%
118.0618486160332 1
 
0.5%
118.4361808622136 1
 
0.5%
104.54962712680303 1
 
0.5%
2011.4 1
 
0.5%
117.85114462105756 1
 
0.5%
99.0280358695509 1
 
0.5%
101.05213472655805 1
 
0.5%
99.99500802842621 1
 
0.5%
Other values (164) 164
87.2%
(Missing) 14
 
7.4%
ValueCountFrequency (%)
57.1464564275311 1
0.5%
58.930196809681554 1
0.5%
70.11816967554078 1
0.5%
86.12207322220819 1
0.5%
86.28633303494188 1
0.5%
88.40697276142451 1
0.5%
90.43731444153832 1
0.5%
92.46050857289077 1
0.5%
94.58022939082763 1
0.5%
95.08204756992467 1
0.5%
ValueCountFrequency (%)
2015.4 1
0.5%
2014.4 1
0.5%
2013.4 1
0.5%
2012.4 1
0.5%
2011.4 1
0.5%
2010.4 1
0.5%
182.73640149516615 1
0.5%
174.2100260772196 1
0.5%
168.39798238583674 1
0.5%
161.9664939085272 1
0.5%

Unnamed: 27
Real number (ℝ)

MISSING 

Distinct174
Distinct (%)100.0%
Missing14
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean179.42348
Minimum57.103989
Maximum2015.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T00:13:05.928397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57.103989
5-th percentile94.010498
Q1102.17812
median113.46657
Q3125.14025
95-th percentile159.72199
Maximum2015.5
Range1958.396
Interquartile range (IQR)22.962129

Descriptive statistics

Standard deviation347.95324
Coefficient of variation (CV)1.9392848
Kurtosis24.636508
Mean179.42348
Median Absolute Deviation (MAD)11.540983
Skewness5.1261354
Sum31219.686
Variance121071.46
MonotonicityNot monotonic
2023-12-13T00:13:06.080294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
118.89408779167016 1
 
0.5%
101.86944162339881 1
 
0.5%
118.55372659887016 1
 
0.5%
121.0973408922992 1
 
0.5%
105.46907214860151 1
 
0.5%
2011.5 1
 
0.5%
115.32923267429123 1
 
0.5%
90.12012146828563 1
 
0.5%
102.07594143689562 1
 
0.5%
101.91224945460013 1
 
0.5%
Other values (164) 164
87.2%
(Missing) 14
 
7.4%
ValueCountFrequency (%)
57.10398917427252 1
0.5%
59.59253403209549 1
0.5%
64.7857746132242 1
0.5%
81.56568085497405 1
0.5%
85.93066478823795 1
0.5%
90.12012146828563 1
0.5%
92.62891665050155 1
0.5%
93.69582139856028 1
0.5%
93.71098287323873 1
0.5%
94.17177557404202 1
0.5%
ValueCountFrequency (%)
2015.5 1
0.5%
2014.5 1
0.5%
2013.5 1
0.5%
2012.5 1
0.5%
2011.5 1
0.5%
2010.5 1
0.5%
180.62637391818188 1
0.5%
167.70064518609908 1
0.5%
160.62306473189142 1
0.5%
159.23679097177285 1
0.5%

Unnamed: 28
Real number (ℝ)

MISSING 

Distinct174
Distinct (%)100.0%
Missing14
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean180.57402
Minimum57.933817
Maximum2015.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T00:13:06.272741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57.933817
5-th percentile93.676436
Q1104.66426
median114.39106
Q3124.74987
95-th percentile157.92488
Maximum2015.6
Range1957.6662
Interquartile range (IQR)20.085612

Descriptive statistics

Standard deviation347.72547
Coefficient of variation (CV)1.9256673
Kurtosis24.645547
Mean180.57402
Median Absolute Deviation (MAD)9.86401
Skewness5.1274474
Sum31419.879
Variance120913
MonotonicityNot monotonic
2023-12-13T00:13:06.465141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
115.80111051028297 1
 
0.5%
102.02753082106999 1
 
0.5%
121.85276783484147 1
 
0.5%
121.72373494161498 1
 
0.5%
104.0756040094583 1
 
0.5%
2011.6 1
 
0.5%
117.79703248348652 1
 
0.5%
98.42839320198577 1
 
0.5%
103.57885023000793 1
 
0.5%
145.79844543586879 1
 
0.5%
Other values (164) 164
87.2%
(Missing) 14
 
7.4%
ValueCountFrequency (%)
57.93381742777761 1
0.5%
60.6576701932525 1
0.5%
61.457488882528956 1
0.5%
83.77367251338225 1
0.5%
84.28546498917538 1
0.5%
89.22295532433489 1
0.5%
89.60270115152446 1
0.5%
92.41263844480142 1
0.5%
93.6409636782114 1
0.5%
93.69553630951863 1
0.5%
ValueCountFrequency (%)
2015.6 1
0.5%
2014.6 1
0.5%
2013.6 1
0.5%
2012.6 1
0.5%
2011.6 1
0.5%
2010.6 1
0.5%
166.7416118622054 1
0.5%
163.8697605906239 1
0.5%
160.20893543622344 1
0.5%
156.69500538825366 1
0.5%

Unnamed: 29
Real number (ℝ)

MISSING 

Distinct146
Distinct (%)100.0%
Missing42
Missing (%)22.3%
Infinite0
Infinite (%)0.0%
Mean190.66176
Minimum54.058681
Maximum2015.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T00:13:06.615460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54.058681
5-th percentile92.839596
Q1102.0223
median111.90512
Q3122.23965
95-th percentile162.76614
Maximum2015.7
Range1961.6413
Interquartile range (IQR)20.217359

Descriptive statistics

Standard deviation378.96702
Coefficient of variation (CV)1.9876404
Kurtosis20.009788
Mean190.66176
Median Absolute Deviation (MAD)10.105475
Skewness4.6568613
Sum27836.617
Variance143616
MonotonicityNot monotonic
2023-12-13T00:13:06.760818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
122.3170621598859 1
 
0.5%
119.54086511538982 1
 
0.5%
112.05947356285633 1
 
0.5%
114.86228753446991 1
 
0.5%
95.5526522961399 1
 
0.5%
100.87689846764134 1
 
0.5%
98.25419633196987 1
 
0.5%
103.39839420121544 1
 
0.5%
111.36299461948565 1
 
0.5%
127.35701425411885 1
 
0.5%
Other values (136) 136
72.3%
(Missing) 42
 
22.3%
ValueCountFrequency (%)
54.05868140413289 1
0.5%
61.739089438927195 1
0.5%
84.59764401195743 1
0.5%
87.80885120886957 1
0.5%
89.1156168183375 1
0.5%
90.65766761149196 1
0.5%
91.79261711859488 1
0.5%
92.70410607203263 1
0.5%
93.24606597132572 1
0.5%
93.35202344650531 1
0.5%
ValueCountFrequency (%)
2015.7 1
0.5%
2014.7 1
0.5%
2013.7 1
0.5%
2012.7 1
0.5%
2011.7 1
0.5%
2010.7 1
0.5%
169.62873822723466 1
0.5%
163.51423512425995 1
0.5%
160.52184636262442 1
0.5%
160.48876784721512 1
0.5%

Unnamed: 30
Real number (ℝ)

MISSING 

Distinct146
Distinct (%)100.0%
Missing42
Missing (%)22.3%
Infinite0
Infinite (%)0.0%
Mean187.4247
Minimum53.580731
Maximum2015.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T00:13:06.910342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53.580731
5-th percentile89.067345
Q199.871302
median109.06291
Q3118.49119
95-th percentile160.43829
Maximum2015.8
Range1962.2193
Interquartile range (IQR)18.619886

Descriptive statistics

Standard deviation379.60117
Coefficient of variation (CV)2.0253529
Kurtosis20.024238
Mean187.4247
Median Absolute Deviation (MAD)9.4182082
Skewness4.659242
Sum27364.007
Variance144097.05
MonotonicityNot monotonic
2023-12-13T00:13:07.062543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
134.07243112902808 1
 
0.5%
119.13325552561966 1
 
0.5%
115.16458246069013 1
 
0.5%
123.49209383206899 1
 
0.5%
95.6121607631924 1
 
0.5%
92.48098019480699 1
 
0.5%
93.66352032300567 1
 
0.5%
101.9476827162918 1
 
0.5%
116.52254050631502 1
 
0.5%
120.78381256245481 1
 
0.5%
Other values (136) 136
72.3%
(Missing) 42
 
22.3%
ValueCountFrequency (%)
53.58073133318534 1
0.5%
67.76113670115245 1
0.5%
75.99124992830414 1
0.5%
85.93310380332204 1
0.5%
86.96127928149407 1
0.5%
87.72432090205626 1
0.5%
87.76037436171599 1
0.5%
88.58124240712529 1
0.5%
90.52565133075515 1
0.5%
90.95413226364806 1
0.5%
ValueCountFrequency (%)
2015.8 1
0.5%
2014.8 1
0.5%
2013.8 1
0.5%
2012.8 1
0.5%
2011.8 1
0.5%
2010.8 1
0.5%
164.35866200215287 1
0.5%
162.7179694996102 1
0.5%
153.5992366042948 1
0.5%
147.09501540605467 1
0.5%

Unnamed: 31
Real number (ℝ)

MISSING 

Distinct146
Distinct (%)100.0%
Missing42
Missing (%)22.3%
Infinite0
Infinite (%)0.0%
Mean186.93057
Minimum56.22317
Maximum2015.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T00:13:07.225115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56.22317
5-th percentile88.213789
Q1100.10936
median107.37534
Q3116.69582
95-th percentile145.14846
Maximum2015.9
Range1959.6768
Interquartile range (IQR)16.586465

Descriptive statistics

Standard deviation379.71789
Coefficient of variation (CV)2.0313311
Kurtosis20.025888
Mean186.93057
Median Absolute Deviation (MAD)8.8660993
Skewness4.6595073
Sum27291.864
Variance144185.67
MonotonicityNot monotonic
2023-12-13T00:13:07.388791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
140.13124964702016 1
 
0.5%
111.55604582343146 1
 
0.5%
111.28036595962476 1
 
0.5%
123.81582072781809 1
 
0.5%
96.05540435398625 1
 
0.5%
84.8054204037014 1
 
0.5%
102.45559208549881 1
 
0.5%
103.43891701431627 1
 
0.5%
130.62033233415272 1
 
0.5%
118.01857375599425 1
 
0.5%
Other values (136) 136
72.3%
(Missing) 42
 
22.3%
ValueCountFrequency (%)
56.223169969606204 1
0.5%
67.35807991458294 1
0.5%
77.05144204370423 1
0.5%
81.62542244969762 1
0.5%
81.98163197648172 1
0.5%
84.8054204037014 1
0.5%
87.61812880417152 1
0.5%
87.9823122495182 1
0.5%
88.90822116530654 1
0.5%
89.96068076716274 1
0.5%
ValueCountFrequency (%)
2015.9 1
0.5%
2014.9 1
0.5%
2013.9 1
0.5%
2012.9 1
0.5%
2011.9 1
0.5%
2010.9 1
0.5%
169.20836173299597 1
0.5%
146.28809274661728 1
0.5%
141.72956946227058 1
0.5%
140.13124964702016 1
0.5%

Unnamed: 32
Real number (ℝ)

MISSING 

Distinct146
Distinct (%)100.0%
Missing42
Missing (%)22.3%
Infinite0
Infinite (%)0.0%
Mean190.66998
Minimum60.090583
Maximum2015.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T00:13:07.539945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.090583
5-th percentile89.442165
Q1101.94516
median112.36726
Q3122.30934
95-th percentile158.71149
Maximum2015.1
Range1955.0094
Interquartile range (IQR)20.364176

Descriptive statistics

Standard deviation378.83906
Coefficient of variation (CV)1.9868836
Kurtosis20.010155
Mean190.66998
Median Absolute Deviation (MAD)10.251843
Skewness4.6569112
Sum27837.817
Variance143519.03
MonotonicityNot monotonic
2023-12-13T00:13:07.692115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
145.69826893833476 1
 
0.5%
116.5264589630242 1
 
0.5%
113.5933776536219 1
 
0.5%
125.97231089879206 1
 
0.5%
101.81499997129823 1
 
0.5%
88.71820928324166 1
 
0.5%
102.60024658438822 1
 
0.5%
104.75027840445088 1
 
0.5%
131.53922571981133 1
 
0.5%
130.03977870211267 1
 
0.5%
Other values (136) 136
72.3%
(Missing) 42
 
22.3%
ValueCountFrequency (%)
60.09058256850363 1
0.5%
67.0028216675203 1
0.5%
67.29131294655069 1
0.5%
85.5677599568564 1
0.5%
86.85041001155524 1
0.5%
87.51647591874118 1
0.5%
87.57971156432592 1
0.5%
88.71820928324166 1
0.5%
91.61403141184921 1
0.5%
93.82542352490081 1
0.5%
ValueCountFrequency (%)
2015.1 1
0.5%
2014.1 1
0.5%
2013.1 1
0.5%
2012.1 1
0.5%
2011.1 1
0.5%
2010.1 1
0.5%
173.26099097813628 1
0.5%
160.0253985064618 1
0.5%
154.76975720893927 1
0.5%
152.59827371703057 1
0.5%

Unnamed: 33
Real number (ℝ)

MISSING 

Distinct146
Distinct (%)100.0%
Missing42
Missing (%)22.3%
Infinite0
Infinite (%)0.0%
Mean190.65336
Minimum60.225252
Maximum2015.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T00:13:07.878904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.225252
5-th percentile92.35288
Q1104.06211
median111.38659
Q3120.77766
95-th percentile162.26092
Maximum2015.11
Range1954.8847
Interquartile range (IQR)16.715551

Descriptive statistics

Standard deviation378.81955
Coefficient of variation (CV)1.9869545
Kurtosis20.016225
Mean190.65336
Median Absolute Deviation (MAD)8.0444152
Skewness4.6579161
Sum27835.391
Variance143504.25
MonotonicityNot monotonic
2023-12-13T00:13:08.038197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
140.40856013167584 1
 
0.5%
112.60339116887705 1
 
0.5%
121.49538056614584 1
 
0.5%
117.9668093876499 1
 
0.5%
110.85159182917153 1
 
0.5%
97.52935026786432 1
 
0.5%
114.37197500302942 1
 
0.5%
101.63766784926183 1
 
0.5%
141.6681195496771 1
 
0.5%
138.66040080192664 1
 
0.5%
Other values (136) 136
72.3%
(Missing) 42
 
22.3%
ValueCountFrequency (%)
60.22525181146998 1
0.5%
62.291960545895854 1
0.5%
69.68826155997779 1
0.5%
79.9421024778041 1
0.5%
87.37025601718243 1
0.5%
89.41571152112009 1
0.5%
89.63808972819065 1
0.5%
91.97686275531866 1
0.5%
93.48093055990448 1
0.5%
94.11157366709621 1
0.5%
ValueCountFrequency (%)
2015.11 1
0.5%
2014.11 1
0.5%
2013.11 1
0.5%
2012.11 1
0.5%
2011.11 1
0.5%
2010.11 1
0.5%
173.34799683447503 1
0.5%
164.26975499592697 1
0.5%
156.23440408686784 1
0.5%
152.26936960549128 1
0.5%

Unnamed: 34
Real number (ℝ)

MISSING 

Distinct146
Distinct (%)100.0%
Missing42
Missing (%)22.3%
Infinite0
Infinite (%)0.0%
Mean193.55001
Minimum62.663171
Maximum2015.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T00:13:08.192228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum62.663171
5-th percentile91.470682
Q1105.19805
median115.57569
Q3125.36453
95-th percentile166.38333
Maximum2015.12
Range1952.4568
Interquartile range (IQR)20.166482

Descriptive statistics

Standard deviation378.28455
Coefficient of variation (CV)1.9544537
Kurtosis20.000426
Mean193.55001
Median Absolute Deviation (MAD)10.356151
Skewness4.6552788
Sum28258.302
Variance143099.2
MonotonicityNot monotonic
2023-12-13T00:13:08.328905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
146.22406110952383 1
 
0.5%
96.49353967651743 1
 
0.5%
118.69833596289713 1
 
0.5%
122.40342628882144 1
 
0.5%
133.30567668525353 1
 
0.5%
103.44826813485962 1
 
0.5%
114.41143706812092 1
 
0.5%
101.68483556553069 1
 
0.5%
140.74215196794677 1
 
0.5%
147.16059470996024 1
 
0.5%
Other values (136) 136
72.3%
(Missing) 42
 
22.3%
ValueCountFrequency (%)
62.663170560580554 1
0.5%
63.563324213630324 1
0.5%
66.55307218909094 1
0.5%
85.54406084000394 1
0.5%
85.91182700440139 1
0.5%
88.9226694639534 1
0.5%
88.93300569335955 1
0.5%
91.40220999306139 1
0.5%
91.67609980320734 1
0.5%
92.10663391803948 1
0.5%
ValueCountFrequency (%)
2015.12 1
0.5%
2014.12 1
0.5%
2013.12 1
0.5%
2012.12 1
0.5%
2011.12 1
0.5%
2010.12 1
0.5%
169.4431642212297 1
0.5%
167.61367988094364 1
0.5%
162.69227179480364 1
0.5%
156.84821462778882 1
0.5%

Unnamed: 35
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing14
Missing (%)7.4%
Memory size1.6 KiB

Unnamed: 36
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing14
Missing (%)7.4%
Memory size1.6 KiB

Unnamed: 37
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)22.3%
Memory size1.6 KiB

Unnamed: 38
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)22.3%
Memory size1.6 KiB

Unnamed: 39
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)22.3%
Memory size1.6 KiB

Unnamed: 40
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing188
Missing (%)100.0%
Memory size1.8 KiB

<생산지수 전년동월대비 증감률>
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9
Missing (%)4.8%
Memory size1.6 KiB

Unnamed: 42
Categorical

Distinct25
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
44 
제 조 업
 
6
식료품 제조업
 
6
음료 제조업
 
6
섬유제품 제조업;의복제외
 
6
Other values (20)
120 

Length

Max length22
Median length16
Mean length10.478723
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row섬유관련형
2nd row제 조 업
3rd row식료품 제조업
4th row음료 제조업
5th row섬유제품 제조업;의복제외

Common Values

ValueCountFrequency (%)
<NA> 44
23.4%
제 조 업 6
 
3.2%
식료품 제조업 6
 
3.2%
음료 제조업 6
 
3.2%
섬유제품 제조업;의복제외 6
 
3.2%
의복,의복액세서리및모피제품 6
 
3.2%
가죽,가방및신발제조업 6
 
3.2%
목재및나무제품 제조업;가구제외 6
 
3.2%
펄프,종이및종이제품제조업 6
 
3.2%
인쇄및기록매체복제업 6
 
3.2%
Other values (15) 90
47.9%

Length

2023-12-13T00:13:08.475756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제조업 72
 
18.9%
na 44
 
11.6%
및 30
 
7.9%
기타 12
 
3.2%
금속 6
 
1.6%
금속가공제품 6
 
1.6%
제조업;기계및가구제외 6
 
1.6%
전자부품,컴퓨터,영상,음향및통신장비제조업 6
 
1.6%
의료,정밀,광학기기 6
 
1.6%
시계 6
 
1.6%
Other values (31) 186
48.9%

Unnamed: 43
Real number (ℝ)

MISSING 

Distinct166
Distinct (%)98.2%
Missing19
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean76.447665
Minimum-20.840787
Maximum2015.1
Zeros1
Zeros (%)0.5%
Negative54
Negative (%)28.7%
Memory size1.8 KiB
2023-12-13T00:13:08.628257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-20.840787
5-th percentile-15.827524
Q1-2.5333333
median5.9125964
Q313.868613
95-th percentile36.902917
Maximum2015.1
Range2035.9408
Interquartile range (IQR)16.401946

Descriptive statistics

Standard deviation372.79801
Coefficient of variation (CV)4.8765127
Kurtosis23.876196
Mean76.447665
Median Absolute Deviation (MAD)8.4459297
Skewness5.0554945
Sum12919.655
Variance138978.35
MonotonicityNot monotonic
2023-12-13T00:13:08.778331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.8779342723004695 2
 
1.1%
6.4 2
 
1.1%
7.7 2
 
1.1%
16.304347826086957 1
 
0.5%
2.6 1
 
0.5%
-6.2 1
 
0.5%
0.7 1
 
0.5%
2.9 1
 
0.5%
-4.2 1
 
0.5%
2011.1 1
 
0.5%
Other values (156) 156
83.0%
(Missing) 19
 
10.1%
ValueCountFrequency (%)
-20.840787119856884 1
0.5%
-19.590382902938558 1
0.5%
-19.56782713085234 1
0.5%
-19.449715370018975 1
0.5%
-18.88980944490472 1
0.5%
-18.166526492851144 1
0.5%
-17.735550277117966 1
0.5%
-16.29310344827587 1
0.5%
-15.897435897435894 1
0.5%
-15.72265625 1
0.5%
ValueCountFrequency (%)
2015.1 1
0.5%
2014.1 1
0.5%
2013.1 1
0.5%
2012.1 1
0.5%
2011.1 1
0.5%
2010.1 1
0.5%
48.700564971751405 1
0.5%
41.23006833712984 1
0.5%
37.1875 1
0.5%
36.4760432766615 1
0.5%

Unnamed: 44
Real number (ℝ)

MISSING 

Distinct168
Distinct (%)99.4%
Missing19
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean75.063233
Minimum-25.40074
Maximum2015.2
Zeros0
Zeros (%)0.0%
Negative62
Negative (%)33.0%
Memory size1.8 KiB
2023-12-13T00:13:08.939608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-25.40074
5-th percentile-18.383127
Q1-4.1349293
median4.2
Q312.5
95-th percentile33.546383
Maximum2015.2
Range2040.6007
Interquartile range (IQR)16.634929

Descriptive statistics

Standard deviation373.06082
Coefficient of variation (CV)4.969954
Kurtosis23.882823
Mean75.063233
Median Absolute Deviation (MAD)8.3349293
Skewness5.0564863
Sum12685.686
Variance139174.37
MonotonicityNot monotonic
2023-12-13T00:13:09.079900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.7 2
 
1.1%
5.6 1
 
0.5%
-7.945516458569808 1
 
0.5%
6.545454545454548 1
 
0.5%
7.992388201712661 1
 
0.5%
13.7 1
 
0.5%
3.4 1
 
0.5%
12.5 1
 
0.5%
12.6 1
 
0.5%
2011.2 1
 
0.5%
Other values (158) 158
84.0%
(Missing) 19
 
10.1%
ValueCountFrequency (%)
-25.40073982737361 1
0.5%
-21.307506053268767 1
0.5%
-21.159153633854647 1
0.5%
-20.0 1
0.5%
-19.821605550049554 1
0.5%
-19.75768872320597 1
0.5%
-19.563318777292583 1
0.5%
-19.411764705882348 1
0.5%
-18.414096916299563 1
0.5%
-18.336673346693384 1
0.5%
ValueCountFrequency (%)
2015.2 1
0.5%
2014.2 1
0.5%
2013.2 1
0.5%
2012.2 1
0.5%
2011.2 1
0.5%
2010.2 1
0.5%
39.68565815324164 1
0.5%
35.92715231788079 1
0.5%
33.68841544607192 1
0.5%
33.33333333333334 1
0.5%

Unnamed: 45
Real number (ℝ)

MISSING 

Distinct168
Distinct (%)99.4%
Missing19
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean74.786895
Minimum-27.51896
Maximum2015.3
Zeros1
Zeros (%)0.5%
Negative62
Negative (%)33.0%
Memory size1.8 KiB
2023-12-13T00:13:09.593285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-27.51896
5-th percentile-13.229581
Q1-3.3333333
median2.8
Q310.6814
95-th percentile32.56681
Maximum2015.3
Range2042.819
Interquartile range (IQR)14.014733

Descriptive statistics

Standard deviation373.09429
Coefficient of variation (CV)4.9887656
Kurtosis23.894029
Mean74.786895
Median Absolute Deviation (MAD)7.2203503
Skewness5.0582012
Sum12638.985
Variance139199.35
MonotonicityNot monotonic
2023-12-13T00:13:09.737380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.6 2
 
1.1%
2011.3 1
 
0.5%
0.835421888053467 1
 
0.5%
12.773403324584434 1
 
0.5%
2.3 1
 
0.5%
-2.5 1
 
0.5%
2.8 1
 
0.5%
0.3 1
 
0.5%
-1.8 1
 
0.5%
12.718446601941741 1
 
0.5%
Other values (158) 158
84.0%
(Missing) 19
 
10.1%
ValueCountFrequency (%)
-27.518959913326103 1
0.5%
-20.870337477797516 1
0.5%
-19.025875190258752 1
0.5%
-16.788766788766786 1
0.5%
-15.672913117546852 1
0.5%
-14.362057448229795 1
0.5%
-13.94316163410301 1
0.5%
-13.405495420482927 1
0.5%
-13.256955810147304 1
0.5%
-13.188518231186967 1
0.5%
ValueCountFrequency (%)
2015.3 1
0.5%
2014.3 1
0.5%
2013.3 1
0.5%
2012.3 1
0.5%
2011.3 1
0.5%
2010.3 1
0.5%
44.76479514415781 1
0.5%
38.0758807588076 1
0.5%
34.42265795206973 1
0.5%
29.783037475345154 1
0.5%

Unnamed: 46
Real number (ℝ)

MISSING 

Distinct169
Distinct (%)100.0%
Missing19
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean74.536998
Minimum-23.858742
Maximum2015.4
Zeros0
Zeros (%)0.0%
Negative72
Negative (%)38.3%
Memory size1.8 KiB
2023-12-13T00:13:09.875735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-23.858742
5-th percentile-13.695798
Q1-4.770017
median2.1375465
Q310.501859
95-th percentile38.336392
Maximum2015.4
Range2039.2587
Interquartile range (IQR)15.271876

Descriptive statistics

Standard deviation373.18761
Coefficient of variation (CV)5.0067433
Kurtosis23.88655
Mean74.536998
Median Absolute Deviation (MAD)7.5375465
Skewness5.0570813
Sum12596.753
Variance139269
MonotonicityNot monotonic
2023-12-13T00:13:10.016313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2011.4 1
 
0.5%
-15.255905511811024 1
 
0.5%
-10.390625 1
 
0.5%
-10.471622701838525 1
 
0.5%
-1.0 1
 
0.5%
-5.7 1
 
0.5%
-3.1 1
 
0.5%
-1.3 1
 
0.5%
-0.8 1
 
0.5%
14.80038948393379 1
 
0.5%
Other values (159) 159
84.6%
(Missing) 19
 
10.1%
ValueCountFrequency (%)
-23.858742463393618 1
0.5%
-18.583042973286876 1
0.5%
-17.002417405318287 1
0.5%
-15.977175463623391 1
0.5%
-15.853658536585355 1
0.5%
-15.255905511811024 1
0.5%
-14.06578026592023 1
0.5%
-13.962508080155137 1
0.5%
-13.957597173144872 1
0.5%
-13.303099017384737 1
0.5%
ValueCountFrequency (%)
2015.4 1
0.5%
2014.4 1
0.5%
2013.4 1
0.5%
2012.4 1
0.5%
2011.4 1
0.5%
2010.4 1
0.5%
50.72254335260114 1
0.5%
40.903823870220165 1
0.5%
40.314136125654464 1
0.5%
35.369774919614144 1
0.5%

Unnamed: 47
Real number (ℝ)

MISSING 

Distinct169
Distinct (%)100.0%
Missing19
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean74.726025
Minimum-24.563446
Maximum2015.5
Zeros0
Zeros (%)0.0%
Negative69
Negative (%)36.7%
Memory size1.8 KiB
2023-12-13T00:13:10.183922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-24.563446
5-th percentile-13.832617
Q1-4.1597338
median2.6
Q310.418522
95-th percentile32.521166
Maximum2015.5
Range2040.0634
Interquartile range (IQR)14.578256

Descriptive statistics

Standard deviation373.18763
Coefficient of variation (CV)4.9940784
Kurtosis23.881617
Mean74.726025
Median Absolute Deviation (MAD)7.0036697
Skewness5.0563324
Sum12628.698
Variance139269.01
MonotonicityNot monotonic
2023-12-13T00:13:10.353771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2011.5 1
 
0.5%
-14.1 1
 
0.5%
-0.6364359586316604 1
 
0.5%
-20.128824476650564 1
 
0.5%
1.9 1
 
0.5%
-1.8 1
 
0.5%
-2.6 1
 
0.5%
6.9 1
 
0.5%
2.0 1
 
0.5%
14.840637450199193 1
 
0.5%
Other values (159) 159
84.6%
(Missing) 19
 
10.1%
ValueCountFrequency (%)
-24.56344586728755 1
0.5%
-21.65820642978004 1
0.5%
-20.128824476650564 1
0.5%
-19.019316493313518 1
0.5%
-17.757774140752865 1
0.5%
-17.212490479817216 1
0.5%
-16.811955168119553 1
0.5%
-14.944356120826708 1
0.5%
-14.1 1
0.5%
-13.4315424610052 1
0.5%
ValueCountFrequency (%)
2015.5 1
0.5%
2014.5 1
0.5%
2013.5 1
0.5%
2012.5 1
0.5%
2011.5 1
0.5%
2010.5 1
0.5%
54.56221198156681 1
0.5%
48.542274052478156 1
0.5%
32.55069370330843 1
0.5%
32.47687564234328 1
0.5%

Unnamed: 48
Real number (ℝ)

MISSING 

Distinct168
Distinct (%)99.4%
Missing19
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean73.810143
Minimum-28.737997
Maximum2015.6
Zeros1
Zeros (%)0.5%
Negative69
Negative (%)36.7%
Memory size1.8 KiB
2023-12-13T00:13:10.504812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-28.737997
5-th percentile-15.756847
Q1-4.2
median2.1857923
Q38.3
95-th percentile40.683643
Maximum2015.6
Range2044.338
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation373.37835
Coefficient of variation (CV)5.058632
Kurtosis23.883015
Mean73.810143
Median Absolute Deviation (MAD)6.2142077
Skewness5.0565498
Sum12473.914
Variance139411.39
MonotonicityNot monotonic
2023-12-13T00:13:10.664300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.3 2
 
1.1%
2011.6 1
 
0.5%
-17.67578125 1
 
0.5%
-4.743083003952568 1
 
0.5%
-19.711191335740068 1
 
0.5%
3.1 1
 
0.5%
-8.6 1
 
0.5%
-0.4 1
 
0.5%
6.4 1
 
0.5%
-7.2 1
 
0.5%
Other values (158) 158
84.0%
(Missing) 19
 
10.1%
ValueCountFrequency (%)
-28.73799725651578 1
0.5%
-27.99525504151838 1
0.5%
-22.03757225433526 1
0.5%
-21.959459459459456 1
0.5%
-19.711191335740068 1
0.5%
-19.538077403245932 1
0.5%
-17.67578125 1
0.5%
-16.03206412825651 1
0.5%
-15.769805680119585 1
0.5%
-15.737410071942445 1
0.5%
ValueCountFrequency (%)
2015.6 1
0.5%
2014.6 1
0.5%
2013.6 1
0.5%
2012.6 1
0.5%
2011.6 1
0.5%
2010.6 1
0.5%
54.61658841940532 1
0.5%
52.93577981651375 1
0.5%
43.503937007874036 1
0.5%
36.45320197044335 1
0.5%

Unnamed: 49
Real number (ℝ)

MISSING 

Distinct139
Distinct (%)98.6%
Missing47
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean88.387548
Minimum-27.068558
Maximum2015.7
Zeros1
Zeros (%)0.5%
Negative52
Negative (%)27.7%
Memory size1.8 KiB
2023-12-13T00:13:10.867489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-27.068558
5-th percentile-15.755102
Q1-5.1282051
median3.6
Q310.355253
95-th percentile44.307149
Maximum2015.7
Range2042.7686
Interquartile range (IQR)15.483458

Descriptive statistics

Standard deviation407.44067
Coefficient of variation (CV)4.6097067
Kurtosis19.217861
Mean88.387548
Median Absolute Deviation (MAD)8.1209302
Skewness4.5738606
Sum12462.644
Variance166007.9
MonotonicityNot monotonic
2023-12-13T00:13:11.024536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.0 2
 
1.1%
-3.7 2
 
1.1%
11.720930232558134 1
 
0.5%
24.05063291139241 1
 
0.5%
6.807286673058494 1
 
0.5%
13.388734995383194 1
 
0.5%
-4.436229205175598 1
 
0.5%
-0.2030456852791907 1
 
0.5%
7.9086115992970125 1
 
0.5%
8.2618025751073 1
 
0.5%
Other values (129) 129
68.6%
(Missing) 47
 
25.0%
ValueCountFrequency (%)
-27.06855791962174 1
0.5%
-26.272455089820358 1
0.5%
-23.179916317991633 1
0.5%
-21.91780821917808 1
0.5%
-20.17900732302686 1
0.5%
-18.69158878504673 1
0.5%
-16.097560975609753 1
0.5%
-15.755102040816324 1
0.5%
-15.700267618198033 1
0.5%
-13.796133567662569 1
0.5%
ValueCountFrequency (%)
2015.7 1
0.5%
2014.7 1
0.5%
2013.7 1
0.5%
2012.7 1
0.5%
2011.7 1
0.5%
2010.7 1
0.5%
61.51368760064412 1
0.5%
44.3071491615181 1
0.5%
41.06280193236715 1
0.5%
33.98692810457516 1
0.5%

Unnamed: 50
Real number (ℝ)

MISSING 

Distinct140
Distinct (%)99.3%
Missing47
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean88.405445
Minimum-26.280437
Maximum2015.8
Zeros0
Zeros (%)0.0%
Negative56
Negative (%)29.8%
Memory size1.8 KiB
2023-12-13T00:13:11.206257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-26.280437
5-th percentile-16.91113
Q1-3.7857802
median2.3279352
Q38.9700997
95-th percentile49.540441
Maximum2015.8
Range2042.0804
Interquartile range (IQR)12.75588

Descriptive statistics

Standard deviation407.46763
Coefficient of variation (CV)4.6090785
Kurtosis19.215768
Mean88.405445
Median Absolute Deviation (MAD)6.6421644
Skewness4.5735233
Sum12465.168
Variance166029.87
MonotonicityNot monotonic
2023-12-13T00:13:11.396908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.3 2
 
1.1%
2011.8 1
 
0.5%
-1.8907563025210055 1
 
0.5%
-2.7833001988071544 1
 
0.5%
5.05514705882353 1
 
0.5%
18.037661050545083 1
 
0.5%
17.311608961303463 1
 
0.5%
17.507136060894393 1
 
0.5%
0.4201680672268818 1
 
0.5%
-1.9088016967126162 1
 
0.5%
Other values (130) 130
69.1%
(Missing) 47
 
25.0%
ValueCountFrequency (%)
-26.280436607892526 1
0.5%
-23.280423280423285 1
0.5%
-22.443890274314214 1
0.5%
-20.96354166666666 1
0.5%
-20.943952802359878 1
0.5%
-18.90999174236168 1
0.5%
-18.866517524235643 1
0.5%
-16.91113028472822 1
0.5%
-16.493055555555554 1
0.5%
-16.483516483516482 1
0.5%
ValueCountFrequency (%)
2015.8 1
0.5%
2014.8 1
0.5%
2013.8 1
0.5%
2012.8 1
0.5%
2011.8 1
0.5%
2010.8 1
0.5%
71.01694915254238 1
0.5%
49.54044117647059 1
0.5%
36.78861788617885 1
0.5%
32.640949554896146 1
0.5%

Unnamed: 51
Real number (ℝ)

MISSING 

Distinct140
Distinct (%)99.3%
Missing47
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean87.15411
Minimum-29.315708
Maximum2015.9
Zeros1
Zeros (%)0.5%
Negative58
Negative (%)30.9%
Memory size1.8 KiB
2023-12-13T00:13:11.581086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-29.315708
5-th percentile-21.001927
Q1-7.2174739
median2.2682446
Q311.317073
95-th percentile49.519744
Maximum2015.9
Range2045.2157
Interquartile range (IQR)18.534547

Descriptive statistics

Standard deviation407.79608
Coefficient of variation (CV)4.6790229
Kurtosis19.206574
Mean87.15411
Median Absolute Deviation (MAD)9.4857185
Skewness4.5719503
Sum12288.729
Variance166297.64
MonotonicityNot monotonic
2023-12-13T00:13:11.781707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.6 2
 
1.1%
17.26618705035971 1
 
0.5%
12.616339193381595 1
 
0.5%
-3.7769784172661893 1
 
0.5%
13.184584178498987 1
 
0.5%
16.422594142259417 1
 
0.5%
30.590717299578056 1
 
0.5%
2.016985138004237 1
 
0.5%
3.921568627450984 1
 
0.5%
12.761276127612753 1
 
0.5%
Other values (130) 130
69.1%
(Missing) 47
 
25.0%
ValueCountFrequency (%)
-29.315707620528762 1
0.5%
-29.248120300751886 1
0.5%
-27.46748278500382 1
0.5%
-27.18676122931442 1
0.5%
-25.339043540328337 1
0.5%
-21.819645732689217 1
0.5%
-21.38728323699422 1
0.5%
-21.0019267822736 1
0.5%
-20.24634334103157 1
0.5%
-19.669277632724114 1
0.5%
ValueCountFrequency (%)
2015.9 1
0.5%
2014.9 1
0.5%
2013.9 1
0.5%
2012.9 1
0.5%
2011.9 1
0.5%
2010.9 1
0.5%
60.32520325203251 1
0.5%
49.5197438633938 1
0.5%
38.788522848034006 1
0.5%
33.919843597262954 1
0.5%

Unnamed: 52
Real number (ℝ)

MISSING 

Distinct141
Distinct (%)100.0%
Missing47
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean88.275559
Minimum-31.352459
Maximum2015.1
Zeros0
Zeros (%)0.0%
Negative58
Negative (%)30.9%
Memory size1.8 KiB
2023-12-13T00:13:11.977998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-31.352459
5-th percentile-17.03869
Q1-3.5245902
median1.3645224
Q310.113269
95-th percentile50.984456
Maximum2015.1
Range2046.4525
Interquartile range (IQR)13.637859

Descriptive statistics

Standard deviation407.38846
Coefficient of variation (CV)4.6149632
Kurtosis19.206736
Mean88.275559
Median Absolute Deviation (MAD)6.6883911
Skewness4.5720098
Sum12446.854
Variance165965.35
MonotonicityNot monotonic
2023-12-13T00:13:12.132013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.7716615698267106 1
 
0.5%
14.514285714285718 1
 
0.5%
13.052011776251224 1
 
0.5%
-0.2643171806167376 1
 
0.5%
4.017857142857143 1
 
0.5%
10.077519379844952 1
 
0.5%
29.763130792996918 1
 
0.5%
3.6214953271028136 1
 
0.5%
11.220472440944889 1
 
0.5%
9.381663113006395 1
 
0.5%
Other values (131) 131
69.7%
(Missing) 47
 
25.0%
ValueCountFrequency (%)
-31.352459016393443 1
0.5%
-28.614916286149167 1
0.5%
-27.934111187371307 1
0.5%
-26.346801346801346 1
0.5%
-25.455871626549957 1
0.5%
-20.734693877551024 1
0.5%
-18.66883116883117 1
0.5%
-17.038690476190478 1
0.5%
-16.921606118546837 1
0.5%
-15.867480383609417 1
0.5%
ValueCountFrequency (%)
2015.1 1
0.5%
2014.1 1
0.5%
2013.1 1
0.5%
2012.1 1
0.5%
2011.1 1
0.5%
2010.1 1
0.5%
76.37795275590551 1
0.5%
50.98445595854921 1
0.5%
45.33333333333333 1
0.5%
42.002301495972375 1
0.5%

Unnamed: 53
Real number (ℝ)

MISSING  ZEROS 

Distinct138
Distinct (%)97.9%
Missing47
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean87.434474
Minimum-37.724084
Maximum2015.11
Zeros2
Zeros (%)1.1%
Negative59
Negative (%)31.4%
Memory size1.8 KiB
2023-12-13T00:13:12.323157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-37.724084
5-th percentile-16.791355
Q1-5.3393665
median1.6608392
Q39.5384615
95-th percentile43.178974
Maximum2015.11
Range2052.8341
Interquartile range (IQR)14.877828

Descriptive statistics

Standard deviation407.5575
Coefficient of variation (CV)4.6612907
Kurtosis19.209156
Mean87.434474
Median Absolute Deviation (MAD)7.3409434
Skewness4.5724194
Sum12328.261
Variance166103.12
MonotonicityNot monotonic
2023-12-13T00:13:12.468168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2
 
1.1%
2.8 2
 
1.1%
0.1 2
 
1.1%
31.09640831758033 1
 
0.5%
27.54275427542754 1
 
0.5%
-5.339366515837109 1
 
0.5%
43.17897371714643 1
 
0.5%
3.613177470775777 1
 
0.5%
-13.615023474178404 1
 
0.5%
3.162790697674424 1
 
0.5%
Other values (128) 128
68.1%
(Missing) 47
 
25.0%
ValueCountFrequency (%)
-37.72408417770849 1
0.5%
-25.929861849096696 1
0.5%
-25.617021276595743 1
0.5%
-22.2934472934473 1
0.5%
-20.573355817875203 1
0.5%
-20.523648648648656 1
0.5%
-18.099918099918096 1
0.5%
-16.791354945968415 1
0.5%
-16.778523489932887 1
0.5%
-16.517285531370028 1
0.5%
ValueCountFrequency (%)
2015.11 1
0.5%
2014.11 1
0.5%
2013.11 1
0.5%
2012.11 1
0.5%
2011.11 1
0.5%
2010.11 1
0.5%
80.52373158756137 1
0.5%
43.17897371714643 1
0.5%
40.4 1
0.5%
32.59372609028311 1
0.5%

Unnamed: 54
Real number (ℝ)

MISSING  ZEROS 

Distinct138
Distinct (%)97.9%
Missing47
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean87.939825
Minimum-28.058608
Maximum2015.12
Zeros2
Zeros (%)1.1%
Negative61
Negative (%)32.4%
Memory size1.8 KiB
2023-12-13T00:13:12.627375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-28.058608
5-th percentile-19.326383
Q1-8.1103001
median1.8
Q312.622951
95-th percentile47.021944
Maximum2015.12
Range2043.1786
Interquartile range (IQR)20.733251

Descriptive statistics

Standard deviation407.49885
Coefficient of variation (CV)4.6338374
Kurtosis19.199121
Mean87.939825
Median Absolute Deviation (MAD)10.690215
Skewness4.5707096
Sum12399.515
Variance166055.31
MonotonicityNot monotonic
2023-12-13T00:13:12.791681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2
 
1.1%
16.0 2
 
1.1%
6.0 2
 
1.1%
10.453283996299733 1
 
0.5%
-0.29821073558647826 1
 
0.5%
-9.813084112149532 1
 
0.5%
15.804878048780491 1
 
0.5%
15.471698113207552 1
 
0.5%
17.238346525945477 1
 
0.5%
-1.1472275334607922 1
 
0.5%
Other values (128) 128
68.1%
(Missing) 47
 
25.0%
ValueCountFrequency (%)
-28.05860805860806 1
0.5%
-27.68729641693811 1
0.5%
-27.66476810414971 1
0.5%
-26.831275720164605 1
0.5%
-22.43502051983583 1
0.5%
-21.26220886551465 1
0.5%
-19.882055602358896 1
0.5%
-19.32638331996793 1
0.5%
-18.799368088467613 1
0.5%
-18.76288659793814 1
0.5%
ValueCountFrequency (%)
2015.12 1
0.5%
2014.12 1
0.5%
2013.12 1
0.5%
2012.12 1
0.5%
2011.12 1
0.5%
2010.12 1
0.5%
70.65390749601275 1
0.5%
47.0219435736677 1
0.5%
43.65541327124563 1
0.5%
39.50381679389312 1
0.5%

Unnamed: 55
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing19
Missing (%)10.1%
Memory size1.6 KiB

Unnamed: 56
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing19
Missing (%)10.1%
Memory size1.6 KiB

Unnamed: 57
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)25.0%
Memory size1.6 KiB

Unnamed: 58
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)25.0%
Memory size1.6 KiB

Unnamed: 59
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)25.0%
Memory size1.6 KiB

Unnamed: 60
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing188
Missing (%)100.0%
Memory size1.8 KiB

<생산지수 전월대비 증감률>
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9
Missing (%)4.8%
Memory size1.6 KiB

Unnamed: 62
Categorical

Distinct25
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
44 
제 조 업
 
6
식료품 제조업
 
6
음료 제조업
 
6
섬유제품 제조업;의복제외
 
6
Other values (20)
120 

Length

Max length22
Median length16
Mean length10.478723
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row섬유관련형
2nd row제 조 업
3rd row식료품 제조업
4th row음료 제조업
5th row섬유제품 제조업;의복제외

Common Values

ValueCountFrequency (%)
<NA> 44
23.4%
제 조 업 6
 
3.2%
식료품 제조업 6
 
3.2%
음료 제조업 6
 
3.2%
섬유제품 제조업;의복제외 6
 
3.2%
의복,의복액세서리및모피제품 6
 
3.2%
가죽,가방및신발제조업 6
 
3.2%
목재및나무제품 제조업;가구제외 6
 
3.2%
펄프,종이및종이제품제조업 6
 
3.2%
인쇄및기록매체복제업 6
 
3.2%
Other values (15) 90
47.9%

Length

2023-12-13T00:13:12.965941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제조업 72
 
18.9%
na 44
 
11.6%
및 30
 
7.9%
기타 12
 
3.2%
금속 6
 
1.6%
금속가공제품 6
 
1.6%
제조업;기계및가구제외 6
 
1.6%
전자부품,컴퓨터,영상,음향및통신장비제조업 6
 
1.6%
의료,정밀,광학기기 6
 
1.6%
시계 6
 
1.6%
Other values (31) 186
48.9%

Unnamed: 63
Real number (ℝ)

MISSING 

Distinct167
Distinct (%)98.8%
Missing19
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean65.260177
Minimum-42.075338
Maximum2015.1
Zeros0
Zeros (%)0.0%
Negative117
Negative (%)62.2%
Memory size1.8 KiB
2023-12-13T00:13:13.134483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-42.075338
5-th percentile-27.059234
Q1-11.018868
median-5.3501946
Q30.9478673
95-th percentile17.246581
Maximum2015.1
Range2057.1753
Interquartile range (IQR)11.966735

Descriptive statistics

Standard deviation374.89674
Coefficient of variation (CV)5.7446479
Kurtosis23.89206
Mean65.260177
Median Absolute Deviation (MAD)6.1345083
Skewness5.0578811
Sum11028.97
Variance140547.56
MonotonicityNot monotonic
2023-12-13T00:13:13.574630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-6.0 2
 
1.1%
-3.8 2
 
1.1%
1.711026615969579 1
 
0.5%
-22.2298221614227 1
 
0.5%
-14.285714285714285 1
 
0.5%
-10.1 1
 
0.5%
-9.6 1
 
0.5%
-10.4 1
 
0.5%
2011.1 1
 
0.5%
-1.005484460694706 1
 
0.5%
Other values (157) 157
83.5%
(Missing) 19
 
10.1%
ValueCountFrequency (%)
-42.07533759772566 1
0.5%
-36.38720829732066 1
0.5%
-35.67010309278351 1
0.5%
-33.132982719759575 1
0.5%
-32.67813267813267 1
0.5%
-30.352748154224773 1
0.5%
-28.90625 1
0.5%
-27.968337730870708 1
0.5%
-27.615062761506277 1
0.5%
-26.22549019607844 1
0.5%
ValueCountFrequency (%)
2015.1 1
0.5%
2014.1 1
0.5%
2013.1 1
0.5%
2012.1 1
0.5%
2011.1 1
0.5%
2010.1 1
0.5%
40.829346092503975 1
0.5%
18.60226104830422 1
0.5%
18.245614035087712 1
0.5%
15.748031496062993 1
0.5%

Unnamed: 64
Real number (ℝ)

MISSING 

Distinct170
Distinct (%)97.7%
Missing14
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean65.26424
Minimum-22.275449
Maximum2015.2
Zeros1
Zeros (%)0.5%
Negative128
Negative (%)68.1%
Memory size1.8 KiB
2023-12-13T00:13:13.721669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-22.275449
5-th percentile-12.212661
Q1-7.9583828
median-5.3402376
Q30.19694836
95-th percentile7.2937454
Maximum2015.2
Range2037.4754
Interquartile range (IQR)8.1553312

Descriptive statistics

Standard deviation369.1477
Coefficient of variation (CV)5.6562015
Kurtosis24.759927
Mean65.26424
Median Absolute Deviation (MAD)3.3329065
Skewness5.1445547
Sum11355.978
Variance136270.02
MonotonicityNot monotonic
2023-12-13T00:13:13.892597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-5.8 3
 
1.6%
-6.4 2
 
1.1%
-5.6 2
 
1.1%
-7.673667205169629 1
 
0.5%
-22.2754491017964 1
 
0.5%
2.6 1
 
0.5%
0.0 1
 
0.5%
2011.2 1
 
0.5%
-8.037383177570089 1
 
0.5%
-17.359187442289933 1
 
0.5%
Other values (160) 160
85.1%
(Missing) 14
 
7.4%
ValueCountFrequency (%)
-22.2754491017964 1
0.5%
-20.46692607003891 1
0.5%
-19.142176330420973 1
0.5%
-17.44897959183673 1
0.5%
-17.359187442289933 1
0.5%
-16.247379454926623 1
0.5%
-15.588723051409618 1
0.5%
-13.467741935483874 1
0.5%
-12.632508833922259 1
0.5%
-11.98658843252305 1
0.5%
ValueCountFrequency (%)
2015.2 1
0.5%
2014.2 1
0.5%
2013.2 1
0.5%
2012.2 1
0.5%
2011.2 1
0.5%
2010.2 1
0.5%
29.6045197740113 1
0.5%
23.477297895902552 1
0.5%
7.7464788732394245 1
0.5%
7.049965776865169 1
0.5%

Unnamed: 65
Real number (ℝ)

MISSING 

Distinct168
Distinct (%)96.6%
Missing14
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean81.625077
Minimum-10.653753
Maximum2015.3
Zeros1
Zeros (%)0.5%
Negative6
Negative (%)3.2%
Memory size1.8 KiB
2023-12-13T00:13:14.040122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-10.653753
5-th percentile2.1629904
Q17.3580483
median11.955071
Q318.624656
95-th percentile31.282989
Maximum2015.3
Range2025.9538
Interquartile range (IQR)11.266608

Descriptive statistics

Standard deviation366.10945
Coefficient of variation (CV)4.485257
Kurtosis24.746585
Mean81.625077
Median Absolute Deviation (MAD)4.9612685
Skewness5.1425661
Sum14202.763
Variance134036.13
MonotonicityNot monotonic
2023-12-13T00:13:14.171589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.4 2
 
1.1%
13.2 2
 
1.1%
22.0 2
 
1.1%
7.8 2
 
1.1%
8.8 2
 
1.1%
12.4 2
 
1.1%
1.4231499051233396 1
 
0.5%
20.03988035892324 1
 
0.5%
27.8138528138528 1
 
0.5%
6.5714285714285765 1
 
0.5%
Other values (158) 158
84.0%
(Missing) 14
 
7.4%
ValueCountFrequency (%)
-10.653753026634384 1
0.5%
-9.340659340659343 1
0.5%
-6.944444444444445 1
0.5%
-6.1433447098976135 1
0.5%
-3.756708407871201 1
0.5%
-3.3023735810113544 1
0.5%
0.0 1
0.5%
0.09398496240600969 1
0.5%
1.4231499051233396 1
0.5%
2.5613660618996708 1
0.5%
ValueCountFrequency (%)
2015.3 1
0.5%
2014.3 1
0.5%
2013.3 1
0.5%
2012.3 1
0.5%
2011.3 1
0.5%
2010.3 1
0.5%
56.85670261941447 1
0.5%
45.12635379061372 1
0.5%
31.957547169811335 1
0.5%
30.919765166340518 1
0.5%

Unnamed: 66
Real number (ℝ)

MISSING 

Distinct172
Distinct (%)98.9%
Missing14
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean70.433089
Minimum-17.035775
Maximum2015.4
Zeros0
Zeros (%)0.0%
Negative70
Negative (%)37.2%
Memory size1.8 KiB
2023-12-13T00:13:14.304749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-17.035775
5-th percentile-12.223739
Q1-1.9270778
median1.2402192
Q35.1381488
95-th percentile19.594317
Maximum2015.4
Range2032.4358
Interquartile range (IQR)7.0652266

Descriptive statistics

Standard deviation368.21288
Coefficient of variation (CV)5.2278394
Kurtosis24.757808
Mean70.433089
Median Absolute Deviation (MAD)3.5128918
Skewness5.1442334
Sum12255.357
Variance135580.72
MonotonicityNot monotonic
2023-12-13T00:13:14.451195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.2 2
 
1.1%
2.6 2
 
1.1%
5.974842767295585 1
 
0.5%
-13.110938712179987 1
 
0.5%
-1.1 1
 
0.5%
1.9 1
 
0.5%
-1.6 1
 
0.5%
2011.4 1
 
0.5%
1.5503875968992347 1
 
0.5%
-4.532304725168759 1
 
0.5%
Other values (162) 162
86.2%
(Missing) 14
 
7.4%
ValueCountFrequency (%)
-17.035775127768314 1
0.5%
-14.821124361158436 1
0.5%
-14.174757281553394 1
0.5%
-13.911472448057818 1
0.5%
-13.575525812619492 1
0.5%
-13.175932977913183 1
0.5%
-13.110938712179987 1
0.5%
-12.85714285714286 1
0.5%
-12.311358220810167 1
0.5%
-12.1765601217656 1
0.5%
ValueCountFrequency (%)
2015.4 1
0.5%
2014.4 1
0.5%
2013.4 1
0.5%
2012.4 1
0.5%
2011.4 1
0.5%
2010.4 1
0.5%
27.70330652368186 1
0.5%
23.052959501557634 1
0.5%
20.335820895522385 1
0.5%
19.195046439628477 1
0.5%

Unnamed: 67
Real number (ℝ)

MISSING  ZEROS 

Distinct164
Distinct (%)94.3%
Missing14
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean68.139224
Minimum-17.383966
Maximum2015.5
Zeros4
Zeros (%)2.1%
Negative102
Negative (%)54.3%
Memory size1.8 KiB
2023-12-13T00:13:14.599613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-17.383966
5-th percentile-9.9308092
Q1-4
median-1.529806
Q31.8943676
95-th percentile12.016099
Maximum2015.5
Range2032.884
Interquartile range (IQR)5.8943676

Descriptive statistics

Standard deviation368.64369
Coefficient of variation (CV)5.4101539
Kurtosis24.764713
Mean68.139224
Median Absolute Deviation (MAD)3.0800762
Skewness5.1452647
Sum11856.225
Variance135898.17
MonotonicityNot monotonic
2023-12-13T00:13:14.729537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
2.1%
-4.0 3
 
1.6%
0.4 3
 
1.6%
-0.1 2
 
1.1%
-1.6 2
 
1.1%
-3.5 2
 
1.1%
1.7108639863130881 1
 
0.5%
2.2 1
 
0.5%
0.9 1
 
0.5%
2011.5 1
 
0.5%
Other values (154) 154
81.9%
(Missing) 14
 
7.4%
ValueCountFrequency (%)
-17.383966244725734 1
0.5%
-17.15296198054818 1
0.5%
-13.639301874595988 1
0.5%
-13.375796178343952 1
0.5%
-12.969924812030085 1
0.5%
-12.107950401167027 1
0.5%
-11.428571428571425 1
0.5%
-11.219081272084807 1
0.5%
-10.295358649789033 1
0.5%
-9.734513274336296 1
0.5%
ValueCountFrequency (%)
2015.5 1
0.5%
2014.5 1
0.5%
2013.5 1
0.5%
2012.5 1
0.5%
2011.5 1
0.5%
2010.5 1
0.5%
17.612977983777526 1
0.5%
15.32599491955969 1
0.5%
13.46153846153845 1
0.5%
11.237785016286644 1
0.5%

Unnamed: 68
Real number (ℝ)

MISSING 

Distinct164
Distinct (%)94.3%
Missing14
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean70.590456
Minimum-15.968379
Maximum2015.6
Zeros1
Zeros (%)0.5%
Negative73
Negative (%)38.8%
Memory size1.8 KiB
2023-12-13T00:13:14.865317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-15.968379
5-th percentile-7.6446009
Q1-1.951519
median0.70619082
Q34.8641005
95-th percentile14.433752
Maximum2015.6
Range2031.5684
Interquartile range (IQR)6.8156195

Descriptive statistics

Standard deviation368.21272
Coefficient of variation (CV)5.2161828
Kurtosis24.760282
Mean70.590456
Median Absolute Deviation (MAD)3.0251059
Skewness5.1446108
Sum12282.739
Variance135580.61
MonotonicityNot monotonic
2023-12-13T00:13:15.000264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.8 4
 
2.1%
0.5 3
 
1.6%
12.096774193548386 2
 
1.1%
2.1 2
 
1.1%
-5.2 2
 
1.1%
-1.8 2
 
1.1%
-1.1 2
 
1.1%
-0.7992007992007965 1
 
0.5%
0.08904719501336468 1
 
0.5%
5.033557046979865 1
 
0.5%
Other values (154) 154
81.9%
(Missing) 14
 
7.4%
ValueCountFrequency (%)
-15.968379446640318 1
0.5%
-12.343096234309622 1
0.5%
-10.598290598290603 1
0.5%
-10.496338486574455 1
0.5%
-9.779179810725545 1
0.5%
-9.484690067214341 1
0.5%
-9.246954595791799 1
0.5%
-8.796680497925307 1
0.5%
-8.01364023870417 1
0.5%
-7.445887445887441 1
0.5%
ValueCountFrequency (%)
2015.6 1
0.5%
2014.6 1
0.5%
2013.6 1
0.5%
2012.6 1
0.5%
2011.6 1
0.5%
2010.6 1
0.5%
43.08145240431796 1
0.5%
18.147086914995224 1
0.5%
17.213930348258703 1
0.5%
12.936732766761082 1
0.5%

Unnamed: 69
Real number (ℝ)

MISSING  ZEROS 

Distinct142
Distinct (%)97.3%
Missing42
Missing (%)22.3%
Infinite0
Infinite (%)0.0%
Mean81.414672
Minimum-27.581227
Maximum2015.7
Zeros3
Zeros (%)1.6%
Negative84
Negative (%)44.7%
Memory size1.8 KiB
2023-12-13T00:13:15.131613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-27.581227
5-th percentile-13.817648
Q1-4.1110402
median-0.86876047
Q31.9596009
95-th percentile14.576538
Maximum2015.7
Range2043.2812
Interquartile range (IQR)6.0706411

Descriptive statistics

Standard deviation401.3644
Coefficient of variation (CV)4.929878
Kurtosis20.08275
Mean81.414672
Median Absolute Deviation (MAD)3.1312395
Skewness4.6689254
Sum11886.542
Variance161093.38
MonotonicityNot monotonic
2023-12-13T00:13:15.256565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4.0 3
 
1.6%
0.0 3
 
1.6%
-5.405405405405408 1
 
0.5%
-1.6407599309153638 1
 
0.5%
-5.611068408916217 1
 
0.5%
-15.262718932443711 1
 
0.5%
5.9534081104400265 1
 
0.5%
-2.357723577235777 1
 
0.5%
-0.778816199376947 1
 
0.5%
-14.175654853620959 1
 
0.5%
Other values (132) 132
70.2%
(Missing) 42
 
22.3%
ValueCountFrequency (%)
-27.58122743682311 1
0.5%
-19.33060109289618 1
0.5%
-17.51336898395721 1
0.5%
-17.215363511659813 1
0.5%
-16.958598726114648 1
0.5%
-16.383701188455007 1
0.5%
-15.262718932443711 1
0.5%
-14.175654853620959 1
0.5%
-12.743628185907047 1
0.5%
-10.913500404203718 1
0.5%
ValueCountFrequency (%)
2015.7 1
0.5%
2014.7 1
0.5%
2013.7 1
0.5%
2012.7 1
0.5%
2011.7 1
0.5%
2010.7 1
0.5%
50.0 1
0.5%
16.25708884688091 1
0.5%
9.53488372093024 1
0.5%
9.118086696562024 1
0.5%

Unnamed: 70
Real number (ℝ)

MISSING  ZEROS 

Distinct143
Distinct (%)97.9%
Missing42
Missing (%)22.3%
Infinite0
Infinite (%)0.0%
Mean80.113695
Minimum-20.09764
Maximum2015.8
Zeros2
Zeros (%)1.1%
Negative112
Negative (%)59.6%
Memory size1.8 KiB
2023-12-13T00:13:15.386834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-20.09764
5-th percentile-11.188027
Q1-5.7007894
median-2.5096899
Q3-0.34870228
95-th percentile13.222614
Maximum2015.8
Range2035.8976
Interquartile range (IQR)5.3520871

Descriptive statistics

Standard deviation401.62142
Coefficient of variation (CV)5.0131431
Kurtosis20.090562
Mean80.113695
Median Absolute Deviation (MAD)2.682603
Skewness4.67021
Sum11696.6
Variance161299.77
MonotonicityNot monotonic
2023-12-13T00:13:15.542645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-3.5 2
 
1.1%
0.0 2
 
1.1%
-3.6 2
 
1.1%
-15.9235668789809 1
 
0.5%
-3.9711191335739997 1
 
0.5%
-5.618892508143316 1
 
0.5%
-2.4606299212598426 1
 
0.5%
-7.003257328990224 1
 
0.5%
-12.156536219816815 1
 
0.5%
-5.180533751962329 1
 
0.5%
Other values (133) 133
70.7%
(Missing) 42
 
22.3%
ValueCountFrequency (%)
-20.097640358014647 1
0.5%
-15.9235668789809 1
0.5%
-13.904109589041095 1
0.5%
-13.464696223316908 1
0.5%
-12.97491039426523 1
0.5%
-12.156536219816815 1
0.5%
-11.575342465753428 1
0.5%
-11.401869158878512 1
0.5%
-10.546500479386385 1
0.5%
-10.165484633569735 1
0.5%
ValueCountFrequency (%)
2015.8 1
0.5%
2014.8 1
0.5%
2013.8 1
0.5%
2012.8 1
0.5%
2011.8 1
0.5%
2010.8 1
0.5%
19.740777666999 1
0.5%
13.513513513513512 1
0.5%
12.349914236706695 1
0.5%
9.886547811993507 1
0.5%

Unnamed: 71
Real number (ℝ)

MISSING 

Distinct143
Distinct (%)97.9%
Missing42
Missing (%)22.3%
Infinite0
Infinite (%)0.0%
Mean82.469672
Minimum-21.942225
Maximum2015.9
Zeros1
Zeros (%)0.5%
Negative70
Negative (%)37.2%
Memory size1.8 KiB
2023-12-13T00:13:15.688884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-21.942225
5-th percentile-9.2192534
Q1-3.6149248
median0.14728378
Q32.8500675
95-th percentile17.554875
Maximum2015.9
Range2037.8422
Interquartile range (IQR)6.4649923

Descriptive statistics

Standard deviation401.16002
Coefficient of variation (CV)4.8643338
Kurtosis20.088893
Mean82.469672
Median Absolute Deviation (MAD)3.45
Skewness4.6699325
Sum12040.572
Variance160929.36
MonotonicityNot monotonic
2023-12-13T00:13:15.835495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.2 2
 
1.1%
-1.3 2
 
1.1%
-0.5 2
 
1.1%
9.391675560298824 1
 
0.5%
-3.3854166666666714 1
 
0.5%
0.24291497975708273 1
 
0.5%
0.5230125523012553 1
 
0.5%
-8.324324324324326 1
 
0.5%
1.4720314033366044 1
 
0.5%
2.3076923076923017 1
 
0.5%
Other values (133) 133
70.7%
(Missing) 42
 
22.3%
ValueCountFrequency (%)
-21.942224953902883 1
0.5%
-13.467656415694595 1
0.5%
-12.90076335877863 1
0.5%
-12.63157894736842 1
0.5%
-10.526315789473687 1
0.5%
-9.800190294957181 1
0.5%
-9.770603228547154 1
0.5%
-9.47046843177189 1
0.5%
-8.465608465608472 1
0.5%
-8.325709057639518 1
0.5%
ValueCountFrequency (%)
2015.9 1
0.5%
2014.9 1
0.5%
2013.9 1
0.5%
2012.9 1
0.5%
2011.9 1
0.5%
2010.9 1
0.5%
19.187358916478555 1
0.5%
17.793964620187314 1
0.5%
16.837606837606828 1
0.5%
15.489749430523927 1
0.5%

Unnamed: 72
Real number (ℝ)

MISSING 

Distinct142
Distinct (%)97.3%
Missing42
Missing (%)22.3%
Infinite0
Infinite (%)0.0%
Mean86.176312
Minimum-13.09987
Maximum2015.1
Zeros1
Zeros (%)0.5%
Negative26
Negative (%)13.8%
Memory size1.8 KiB
2023-12-13T00:13:15.968696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-13.09987
5-th percentile-4.6605362
Q10.80128824
median3.902811
Q36.852978
95-th percentile19.367988
Maximum2015.1
Range2028.1999
Interquartile range (IQR)6.0516897

Descriptive statistics

Standard deviation400.2123
Coefficient of variation (CV)4.6441103
Kurtosis20.091526
Mean86.176312
Median Absolute Deviation (MAD)3.0974235
Skewness4.6703688
Sum12581.742
Variance160169.88
MonotonicityNot monotonic
2023-12-13T00:13:16.115515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.9 3
 
1.6%
7.9 2
 
1.1%
3.5 2
 
1.1%
2.066486972147347 1
 
0.5%
1.7770597738287583 1
 
0.5%
5.931321540062438 1
 
0.5%
4.599056603773591 1
 
0.5%
0.09756097560975056 1
 
0.5%
1.3539651837524096 1
 
0.5%
0.6891271056661606 1
 
0.5%
Other values (132) 132
70.2%
(Missing) 42
 
22.3%
ValueCountFrequency (%)
-13.09987029831387 1
0.5%
-9.090909090909086 1
0.5%
-6.74373795761079 1
0.5%
-5.959684487291847 1
0.5%
-5.822416302765648 1
0.5%
-5.303030303030309 1
0.5%
-5.2336448598130785 1
0.5%
-4.769603880355704 1
0.5%
-4.333333333333336 1
0.5%
-4.1176470588235325 1
0.5%
ValueCountFrequency (%)
2015.1 1
0.5%
2014.1 1
0.5%
2013.1 1
0.5%
2012.1 1
0.5%
2011.1 1
0.5%
2010.1 1
0.5%
20.157480314960623 1
0.5%
19.604471195184864 1
0.5%
18.65853658536585 1
0.5%
17.791411042944798 1
0.5%

Unnamed: 73
Real number (ℝ)

MISSING  ZEROS 

Distinct141
Distinct (%)96.6%
Missing42
Missing (%)22.3%
Infinite0
Infinite (%)0.0%
Mean82.941973
Minimum-16.517857
Maximum2015.11
Zeros2
Zeros (%)1.1%
Negative64
Negative (%)34.0%
Memory size1.8 KiB
2023-12-13T00:13:16.247292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-16.517857
5-th percentile-8.5314152
Q1-3.2891468
median1.0118891
Q34.3272134
95-th percentile10.146167
Maximum2015.11
Range2031.6279
Interquartile range (IQR)7.6163602

Descriptive statistics

Standard deviation400.88864
Coefficient of variation (CV)4.8333627
Kurtosis20.090991
Mean82.941973
Median Absolute Deviation (MAD)3.520407
Skewness4.6702783
Sum12109.528
Variance160711.7
MonotonicityNot monotonic
2023-12-13T00:13:16.429652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.4 2
 
1.1%
-0.3 2
 
1.1%
0.0 2
 
1.1%
2.3 2
 
1.1%
1.9 2
 
1.1%
-6.349206349206349 1
 
0.5%
8.939096267190578 1
 
0.5%
9.921082299887257 1
 
0.5%
11.500974658869408 1
 
0.5%
-3.0534351145038197 1
 
0.5%
Other values (131) 131
69.7%
(Missing) 42
 
22.3%
ValueCountFrequency (%)
-16.517857142857146 1
0.5%
-14.818763326226003 1
0.5%
-14.351245085190042 1
0.5%
-10.777385159010603 1
0.5%
-10.578842315369268 1
0.5%
-9.474463360473722 1
0.5%
-9.263311451495252 1
0.5%
-8.765957446808509 1
0.5%
-7.8277886497064575 1
0.5%
-7.723169508525579 1
0.5%
ValueCountFrequency (%)
2015.11 1
0.5%
2014.11 1
0.5%
2013.11 1
0.5%
2012.11 1
0.5%
2011.11 1
0.5%
2010.11 1
0.5%
11.500974658869408 1
0.5%
10.218253968253965 1
0.5%
9.929906542056075 1
0.5%
9.921082299887257 1
0.5%

Unnamed: 74
Real number (ℝ)

MISSING 

Distinct137
Distinct (%)93.8%
Missing42
Missing (%)22.3%
Infinite0
Infinite (%)0.0%
Mean85.387021
Minimum-16.666667
Maximum2015.12
Zeros1
Zeros (%)0.5%
Negative36
Negative (%)19.1%
Memory size1.8 KiB
2023-12-13T00:13:16.577797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-16.666667
5-th percentile-8.8490274
Q10.019623234
median3
Q36.0878205
95-th percentile29.979614
Maximum2015.12
Range2031.7867
Interquartile range (IQR)6.0681973

Descriptive statistics

Standard deviation400.41779
Coefficient of variation (CV)4.6894456
Kurtosis20.082931
Mean85.387021
Median Absolute Deviation (MAD)3.075641
Skewness4.6689514
Sum12466.505
Variance160334.4
MonotonicityNot monotonic
2023-12-13T00:13:16.747411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.4 4
 
2.1%
3.0 4
 
2.1%
3.4 2
 
1.1%
2.3 2
 
1.1%
4.8 2
 
1.1%
3.2454361054766614 1
 
0.5%
-14.298401420959141 1
 
0.5%
-1.5820149875104008 1
 
0.5%
9.082217973231357 1
 
0.5%
6.128334534967556 1
 
0.5%
Other values (127) 127
67.6%
(Missing) 42
 
22.3%
ValueCountFrequency (%)
-16.666666666666664 1
0.5%
-15.39130434782609 1
0.5%
-14.298401420959141 1
0.5%
-13.861386138613854 1
0.5%
-12.410329985652806 1
0.5%
-11.131725417439704 1
0.5%
-9.770992366412212 1
0.5%
-8.96414342629482 1
0.5%
-8.503679476696641 1
0.5%
-7.309941520467837 1
0.5%
ValueCountFrequency (%)
2015.12 1
0.5%
2014.12 1
0.5%
2013.12 1
0.5%
2012.12 1
0.5%
2011.12 1
0.5%
2010.12 1
0.5%
40.32085561497325 1
0.5%
30.279652844744447 1
0.5%
29.079497907949804 1
0.5%
20.19837691614067 1
0.5%

Unnamed: 75
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing19
Missing (%)10.1%
Memory size1.6 KiB

Unnamed: 76
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing14
Missing (%)7.4%
Memory size1.6 KiB

Unnamed: 77
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)22.3%
Memory size1.6 KiB

Unnamed: 78
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)22.3%
Memory size1.6 KiB

Sample

업종별 생산지수 추이(2015년)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20<생산지수>Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27Unnamed: 28Unnamed: 29Unnamed: 30Unnamed: 31Unnamed: 32Unnamed: 33Unnamed: 34Unnamed: 35Unnamed: 36Unnamed: 37Unnamed: 38Unnamed: 39Unnamed: 40<생산지수 전년동월대비 증감률>Unnamed: 42Unnamed: 43Unnamed: 44Unnamed: 45Unnamed: 46Unnamed: 47Unnamed: 48Unnamed: 49Unnamed: 50Unnamed: 51Unnamed: 52Unnamed: 53Unnamed: 54Unnamed: 55Unnamed: 56Unnamed: 57Unnamed: 58Unnamed: 59Unnamed: 60<생산지수 전월대비 증감률>Unnamed: 62Unnamed: 63Unnamed: 64Unnamed: 65Unnamed: 66Unnamed: 67Unnamed: 68Unnamed: 69Unnamed: 70Unnamed: 71Unnamed: 72Unnamed: 73Unnamed: 74Unnamed: 75Unnamed: 76Unnamed: 77Unnamed: 78
0산업분류산업분류2015.12015.22015.32015.42015.52015.62015.72015.82015.92015.12015.112015.121/42/43/44/4연간가중치<NA>산업분류섬유관련형2015.12015.22015.32015.42015.52015.62015.72015.82015.92015.12015.112015.121/42/43/44/4연간<NA>산업분류섬유관련형2015.12015.22015.32015.42015.52015.62015.72015.82015.92015.12015.112015.121/42/43/44/4연간<NA>산업분류섬유관련형2015.12015.22015.32015.42015.52015.62015.72015.82015.92015.12015.112015.121/42/43/44/4
1C제 조 업113.614121107.39656120.063023120.396639117.514122120.378377<NA><NA><NA><NA><NA><NA>113.691234119.429713NaNNaNNaN196873966<NA>C제 조 업113.614121107.39656120.063023120.396639117.514122120.378377<NA><NA><NA><NA><NA><NA>113.691234119.429713NaNNaNNaN<NA>C제 조 업0.0-4.955752-3.378922-3.910615-2.5704810.837521<NA><NA><NA><NA><NA><NA>-2.820513-1.970443NaNNaNNaN<NA>C제 조 업-7.567128-5.45774611.8249530.249792-2.4086382.468085<NA><NA><NA><NA><NA><NA>-4.6140945.013193NaNNaN
210식료품 제조업117.779426112.954946120.89548120.176703124.760872123.333021<NA><NA><NA><NA><NA><NA>117.20995122.756866NaNNaNNaN13901180<NA>10식료품 제조업117.779426112.954946120.89548120.176703124.760872123.333021<NA><NA><NA><NA><NA><NA>117.20995122.756866NaNNaNNaN<NA>10식료품 제조업6.99364211.43984210.6129925.4385968.6161888.157895<NA><NA><NA><NA><NA><NA>9.6351737.43657NaNNaNNaN<NA>10식료품 제조업-2.564103-4.0747036.99115-0.5789913.826955-1.201923<NA><NA><NA><NA><NA><NA>-1.0135144.778157NaNNaN
311음료 제조업106.826148101.510723106.447215115.431926105.945268105.717614<NA><NA><NA><NA><NA><NA>104.928029109.031602NaNNaNNaN3181876<NA>11음료 제조업106.826148101.510723106.447215115.431926105.945268105.717614<NA><NA><NA><NA><NA><NA>104.928029109.031602NaNNaNNaN<NA>11음료 제조업-1.1111112.525253-3.9711192.304965-8.311688-1.122544<NA><NA><NA><NA><NA><NA>-0.944287-2.417189NaNNaNNaN<NA>11음료 제조업-2.554745-4.9625474.8275868.458647-8.232236-0.188857<NA><NA><NA><NA><NA><NA>-3.4069983.908484NaNNaN
413섬유제품 제조업;의복제외105.33700496.935964112.705222120.061018114.731475113.457388<NA><NA><NA><NA><NA><NA>104.99273116.083294NaNNaNNaN6085497<NA>13섬유제품 제조업;의복제외105.33700496.935964112.705222120.061018114.731475113.457388<NA><NA><NA><NA><NA><NA>104.99273116.083294NaNNaNNaN<NA>13섬유제품 제조업;의복제외8.444902-0.7172136.52173910.6912447.4976574.415823<NA><NA><NA><NA><NA><NA>4.7904197.5NaNNaNNaN<NA>13섬유제품 제조업;의복제외-1.863933-7.97720816.305476.566105-4.496253-1.046207<NA><NA><NA><NA><NA><NA>-3.7580210.571429NaNNaN
514의복,의복액세서리및모피제품116.090486112.456739130.354826141.132306149.738387148.293933<NA><NA><NA><NA><NA><NA>119.634017146.388209NaNNaNNaN5165359<NA>14의복,의복액세서리및모피제품116.090486112.456739130.354826141.132306149.738387148.293933<NA><NA><NA><NA><NA><NA>119.634017146.388209NaNNaNNaN<NA>14의복,의복액세서리및모피제품-7.78395610.51080610.79014410.84053416.40746523.686405<NA><NA><NA><NA><NA><NA>3.90964416.839585NaNNaNNaN<NA>14의복,의복액세서리및모피제품3.753351-3.10077515.9111118.2055216.094968-0.935204<NA><NA><NA><NA><NA><NA>-2.84321722.408027NaNNaN
615가죽,가방및신발제조업102.13616295.627609102.96983888.406973100.32696496.715411<NA><NA><NA><NA><NA><NA>100.24453795.149783NaNNaNNaN1594234<NA>15가죽,가방및신발제조업102.13616295.627609102.96983888.406973100.32696496.715411<NA><NA><NA><NA><NA><NA>100.24453795.149783NaNNaNNaN<NA>15가죽,가방및신발제조업-11.52513-14.490161-4.275093-23.858742-6.436567-3.972195<NA><NA><NA><NA><NA><NA>-10.215054-11.944444NaNNaNNaN<NA>15가죽,가방및신발제조업0.294695-6.3663087.740586-14.17475713.461538-3.589232<NA><NA><NA><NA><NA><NA>-4.480458-5.08982NaNNaN
716목재및나무제품 제조업;가구제외100.59196100.990079120.180585120.787725122.877674109.975683<NA><NA><NA><NA><NA><NA>107.254208117.880361NaNNaNNaN1300446<NA>16목재및나무제품 제조업;가구제외100.59196100.990079120.180585120.787725122.877674109.975683<NA><NA><NA><NA><NA><NA>107.254208117.880361NaNNaNNaN<NA>16목재및나무제품 제조업;가구제외8.4051726.99152510.681410.42047515.2908070.0<NA><NA><NA><NA><NA><NA>8.8235298.463661NaNNaNNaN<NA>16목재및나무제품 제조업;가구제외-17.3377160.39761419.0099010.4991681.738411-10.496338<NA><NA><NA><NA><NA><NA>-6.1242349.878844NaNNaN
817펄프,종이및종이제품제조업114.525552104.581943115.710363116.509599109.924383116.088673<NA><NA><NA><NA><NA><NA>111.605953114.174218NaNNaNNaN4981168<NA>17펄프,종이및종이제품제조업114.525552104.581943115.710363116.509599109.924383116.088673<NA><NA><NA><NA><NA><NA>111.605953114.174218NaNNaNNaN<NA>17펄프,종이및종이제품제조업8.0188681.0628021.848592-2.916667-3.3421280.78125<NA><NA><NA><NA><NA><NA>3.62117-1.805675NaNNaNNaN<NA>17펄프,종이및종이제품제조업-7.061688-8.64628810.6118550.691443-5.6652365.641492<NA><NA><NA><NA><NA><NA>-5.4237292.329749NaNNaN
918인쇄및기록매체복제업103.89666497.499949104.63745990.43731481.56568189.602701<NA><NA><NA><NA><NA><NA>102.01135787.201899NaNNaNNaN2163579<NA>18인쇄및기록매체복제업103.89666497.499949104.63745990.43731481.56568189.602701<NA><NA><NA><NA><NA><NA>102.01135787.201899NaNNaNNaN<NA>18인쇄및기록매체복제업-17.73555-21.307506-5.510388-5.141658-12.9135540.44843<NA><NA><NA><NA><NA><NA>-15.21197-6.034483NaNNaNNaN<NA>18인쇄및기록매체복제업-20.807927-6.1597697.282051-13.575526-9.7345139.803922<NA><NA><NA><NA><NA><NA>-2.017291-14.509804NaNNaN
업종별 생산지수 추이(2015년)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20<생산지수>Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27Unnamed: 28Unnamed: 29Unnamed: 30Unnamed: 31Unnamed: 32Unnamed: 33Unnamed: 34Unnamed: 35Unnamed: 36Unnamed: 37Unnamed: 38Unnamed: 39Unnamed: 40<생산지수 전년동월대비 증감률>Unnamed: 42Unnamed: 43Unnamed: 44Unnamed: 45Unnamed: 46Unnamed: 47Unnamed: 48Unnamed: 49Unnamed: 50Unnamed: 51Unnamed: 52Unnamed: 53Unnamed: 54Unnamed: 55Unnamed: 56Unnamed: 57Unnamed: 58Unnamed: 59Unnamed: 60<생산지수 전월대비 증감률>Unnamed: 62Unnamed: 63Unnamed: 64Unnamed: 65Unnamed: 66Unnamed: 67Unnamed: 68Unnamed: 69Unnamed: 70Unnamed: 71Unnamed: 72Unnamed: 73Unnamed: 74Unnamed: 75Unnamed: 76Unnamed: 77Unnamed: 78
17829기타 기계 및 장비 제조업90.99523388.685709105.083327100.61824897.153963102.496293101.447227100.3941797.27067799.834323104.049541110.05959994.921423100.08950199.704025104.64782199.84069223968747<NA>29기타 기계 및 장비 제조업90.99523388.685709105.083327100.61824897.153963102.496293101.447227100.3941797.27067799.834323104.049541110.05959994.921423100.08950199.704025104.64782199.840692<NA>29기타 기계 및 장비 제조업8.07601-8.5567014.7856436.2302014.854369-9.372237-9.8666676.695005-7.2449950.100301-3.881701-13.9843751.172708-0.0998-3.949904-6.607143-2.634146<NA>29기타 기계 및 장비 제조업-28.90625-2.52747318.48929-4.281637-3.3797225.452675-1.073171-0.986193-3.0876492.5693734.2084175.865385-15.2678575.479452-0.39964.914744
17930자동차 및 트레일러 제조업87.7860383.00331299.97424999.04856297.27432798.580828101.79648298.37807102.333352105.266674111.001618114.02341790.2545398.301239100.835968110.09723699.87224315384149<NA>30자동차 및 트레일러 제조업87.7860383.00331299.97424999.04856297.27432798.580828101.79648298.37807102.333352105.266674111.001618114.02341790.2545398.301239100.835968110.09723699.872243<NA>30자동차 및 트레일러 제조업37.187514.79944716.1440199.8779137.513812-0.8048291.4955138.9701-5.540166-7.06090.361664-3.71621621.8623485.3590571.204819-3.5056974.826863<NA>30자동차 및 트레일러 제조업-25.844595-5.4669720.481928-1.0-1.7171721.3360743.245436-3.3398823.9634152.9325515.4131052.702703-20.8588968.8593582.5432359.22619
18031기타 운송장비 제조업104.15033291.874057100.09124199.299223100.883259107.374001107.39705299.54035692.26211598.34714497.216402101.46539498.70521102.51882899.73317599.00964799.9917154380521<NA>31기타 운송장비 제조업104.15033291.874057100.09124199.299223100.883259107.374001107.39705299.54035692.26211598.34714497.216402101.46539498.70521102.51882899.73317599.00964799.991715<NA>31기타 운송장비 제조업5.040323-7.730924-7.228916-3.1219513.913491-5.872042-6.689835-13.478261-19.669278-8.727948-14.058355-14.490312-3.519062-2.007648-13.304348-12.54417-8.00368<NA>31기타 운송장비 제조업-12.21567-11.8042238.922742-0.7992011.6112796.4420220.0-7.35568-7.2361816.500542-1.1190234.423868-12.8091873.850051-2.731707-0.702106
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Duplicate rows

Most frequently occurring

Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27Unnamed: 28Unnamed: 29Unnamed: 30Unnamed: 31Unnamed: 32Unnamed: 33Unnamed: 34Unnamed: 42Unnamed: 43Unnamed: 44Unnamed: 45Unnamed: 46Unnamed: 47Unnamed: 48Unnamed: 49Unnamed: 50Unnamed: 51Unnamed: 52Unnamed: 53Unnamed: 54Unnamed: 62Unnamed: 63Unnamed: 64Unnamed: 65Unnamed: 66Unnamed: 67Unnamed: 68Unnamed: 69Unnamed: 70Unnamed: 71Unnamed: 72Unnamed: 73Unnamed: 74# duplicates
1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>11
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