Overview

Dataset statistics

Number of variables119
Number of observations903
Missing cells60468
Missing cells (%)56.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory895.2 KiB
Average record size in memory1015.1 B

Variable types

Categorical30
Numeric33
Text30
Unsupported13
Boolean13

Dataset

Description산림복지서비스이용권시스템에서 추출한 산림복지서비스제공자 정보입니다.
Author한국산림복지진흥원
URLhttps://www.data.go.kr/data/15089000/fileData.do

Alerts

개인정보 수집/이용 동의(PRIVATE_USE_AGREE) has constant value ""Constant
개인정보 처리 동의(PRIVATE_PROC_AGREE) has constant value ""Constant
산림복지서비스 현황 정보의 공개 동의(FOWI_PUBLIC_AGREE) has constant value ""Constant
등록취소 여부(DEL_YN) has constant value ""Constant
숙박가능여부(ROOM_YN) has constant value ""Constant
프로그램여부(PROGRAM_YN) has constant value ""Constant
삭제여부(DEL_YN) has constant value ""Constant
식당가능여부(RESTAURANT_YN) has constant value ""Constant
인력기준_산림치유지도사 1급(PRO_FORE_HEAL_LV1) is highly imbalanced (59.3%)Imbalance
인력기준_산림치유지도사 2급(PRO_FORE_HEAL_LV2) is highly imbalanced (67.2%)Imbalance
인력기준_숲길체험지도사(PRO_FORE_ROAD_EXP) is highly imbalanced (57.2%)Imbalance
인력구분(WORKER_TYPE).1 is highly imbalanced (55.9%)Imbalance
인력기준_산림치유지도사 1급(PRO_FORE_HEAL_LV1).1 is highly imbalanced (68.3%)Imbalance
인력기준_산림치유지도사 2급(PRO_FORE_HEAL_LV2).1 is highly imbalanced (74.7%)Imbalance
인력기준_유아숲지도사(PRO_CHILD_FORE).1 is highly imbalanced (72.8%)Imbalance
인력기준_숲길체험지도사(PRO_FORE_ROAD_EXP).1 is highly imbalanced (67.9%)Imbalance
인력기준_상근관리자(PRO_EMP_MNGR).1 is highly imbalanced (73.4%)Imbalance
사용여부(USE_YN) is highly imbalanced (96.8%)Imbalance
수정일자(UPDATE_DT).2 is highly imbalanced (83.9%)Imbalance
시설구분 (1:국립, 2:일반)(USE_FACILITY_GB) is highly imbalanced (63.1%)Imbalance
시설종류 (K015)(USE_FACILITY_KIND) is highly imbalanced (59.3%)Imbalance
인력기준_산림치유지도사 1급(PRO_FORE_HEAL_LV1).2 is highly imbalanced (51.1%)Imbalance
인력기준_숲길체험지도사(PRO_FORE_ROAD_EXP).2 is highly imbalanced (50.5%)Imbalance
신청상태 (K017)(REQ_STS) is highly imbalanced (53.9%)Imbalance
접수상태 (K018)(RCPT_STS) is highly imbalanced (60.2%)Imbalance
프로그램 번호(PROGRAM_NO) is highly imbalanced (85.6%)Imbalance
시설종류 (K015)(USE_FACILITY_KIND).1 is highly imbalanced (50.1%)Imbalance
인력기준_유아숲지도사(PRO_CHILD_FORE).3 is highly imbalanced (56.1%)Imbalance
이용희망시설 노출 여부(USE_FACILITY_YN) is highly imbalanced (70.1%)Imbalance
취사가능여부(COOK_YN) is highly imbalanced (91.6%)Imbalance
인력기준_숲해설가(PRO_FORE_EXPL) has 717 (79.4%) missing valuesMissing
인력기준_유아숲지도사(PRO_CHILD_FORE) has 717 (79.4%) missing valuesMissing
인력기준_상근관리자(PRO_EMP_MNGR) has 717 (79.4%) missing valuesMissing
등록일자(INPUT_DT) has 717 (79.4%) missing valuesMissing
수정일자(UPDATE_DT) has 903 (100.0%) missing valuesMissing
시설코드(USE_FACILITY_CD) has 780 (86.4%) missing valuesMissing
인력기준_숲해설가(PRO_FORE_EXPL).1 has 780 (86.4%) missing valuesMissing
등록일자(INPUT_DT).1 has 780 (86.4%) missing valuesMissing
수정일자(UPDATE_DT).1 has 903 (100.0%) missing valuesMissing
시설코드(USE_FACILITY_CD).2 has 652 (72.2%) missing valuesMissing
시설명(USE_FACILITY_NM) has 645 (71.4%) missing valuesMissing
시설그룹 코드(GROUP_CD) has 645 (71.4%) missing valuesMissing
서비스제공자 등록번호(REG_CERT_NO) has 815 (90.3%) missing valuesMissing
서비스제공자 등록일자(REG_CERT_DT) has 815 (90.3%) missing valuesMissing
우편번호(ZIP_NO) has 645 (71.4%) missing valuesMissing
주소(ADDR) has 645 (71.4%) missing valuesMissing
상세주소(DETAIL_ADDR) has 645 (71.4%) missing valuesMissing
시설전화번호1(AREA_TEL_NO) has 645 (71.4%) missing valuesMissing
시설팩스번호1(AREA_FAX_NO) has 645 (71.4%) missing valuesMissing
시설팩스번호2(MID_FAX_NO) has 645 (71.4%) missing valuesMissing
시설팩스번호3(END_FAX_NO) has 645 (71.4%) missing valuesMissing
시설기준(FACILITY_STND) has 646 (71.5%) missing valuesMissing
인력기준(WORKER_STND) has 903 (100.0%) missing valuesMissing
인력기준_산림치유지도사 2급(PRO_FORE_HEAL_LV2).2 has 645 (71.4%) missing valuesMissing
인력기준_숲해설가(PRO_FORE_EXPL).2 has 645 (71.4%) missing valuesMissing
인력기준_유아숲지도사(PRO_CHILD_FORE).2 has 645 (71.4%) missing valuesMissing
인력기준_상근관리자(PRO_EMP_MNGR).2 has 645 (71.4%) missing valuesMissing
재발급 신청 사유 (K023)(REISSUE_REASON) has 903 (100.0%) missing valuesMissing
첨부파일(ATCH_FILE_ID) has 645 (71.4%) missing valuesMissing
신청일자(REQ_DT) has 645 (71.4%) missing valuesMissing
신청상태사유(STS_REASON) has 901 (99.8%) missing valuesMissing
접수일자(RCPT_DT) has 645 (71.4%) missing valuesMissing
처리일자(APRV_DT) has 650 (72.0%) missing valuesMissing
개인정보 수집/이용 동의(PRIVATE_USE_AGREE) has 645 (71.4%) missing valuesMissing
개인정보 처리 동의(PRIVATE_PROC_AGREE) has 645 (71.4%) missing valuesMissing
산림복지서비스 현황 정보의 공개 동의(FOWI_PUBLIC_AGREE) has 645 (71.4%) missing valuesMissing
등록일자(INPUT_DT).3 has 645 (71.4%) missing valuesMissing
수정일자(UPDATE_DT).3 has 837 (92.7%) missing valuesMissing
시설그룹 코드(GROUP_CD).1 has 661 (73.2%) missing valuesMissing
등록일자(INPUT_DT).4 has 661 (73.2%) missing valuesMissing
수정일자(UPDATE_DT).4 has 903 (100.0%) missing valuesMissing
시설코드(USE_FACILITY_CD).3 has 871 (96.5%) missing valuesMissing
프로그램소개(PROGRAM_INTRO) has 873 (96.7%) missing valuesMissing
시설코드(USE_FACILITY_CD).4 has 563 (62.3%) missing valuesMissing
시설명(USE_FACILITY_NM).1 has 563 (62.3%) missing valuesMissing
시설그룹 코드(GROUP_CD).2 has 662 (73.3%) missing valuesMissing
서비스제공자 등록번호(REG_CERT_NO).1 has 662 (73.3%) missing valuesMissing
서비스제공자 등록일자(REG_CERT_DT).1 has 662 (73.3%) missing valuesMissing
우편번호(ZIP_NO).1 has 662 (73.3%) missing valuesMissing
주소(ADDR).1 has 568 (62.9%) missing valuesMissing
상세주소(DETAIL_ADDR).1 has 568 (62.9%) missing valuesMissing
시설전화번호1(AREA_TEL_NO).1 has 568 (62.9%) missing valuesMissing
시설팩스번호1(AREA_FAX_NO).1 has 662 (73.3%) missing valuesMissing
시설팩스번호2(MID_FAX_NO).1 has 662 (73.3%) missing valuesMissing
시설팩스번호3(END_FAX_NO).1 has 662 (73.3%) missing valuesMissing
시설기준(FACILITY_STND).1 has 663 (73.4%) missing valuesMissing
인력기준(WORKER_STND).1 has 903 (100.0%) missing valuesMissing
인력기준_산림치유지도사 2급(PRO_FORE_HEAL_LV2).3 has 563 (62.3%) missing valuesMissing
인력기준_숲해설가(PRO_FORE_EXPL).3 has 563 (62.3%) missing valuesMissing
인력기준_상근관리자(PRO_EMP_MNGR).3 has 563 (62.3%) missing valuesMissing
등록일자(INPUT_DT).5 has 563 (62.3%) missing valuesMissing
수정일자(UPDATE_DT).5 has 601 (66.6%) missing valuesMissing
등록취소 여부(DEL_YN) has 563 (62.3%) missing valuesMissing
이용희망시설 노출 여부(USE_FACILITY_YN) has 563 (62.3%) missing valuesMissing
페이지 공개여부(VIEW_YN) has 563 (62.3%) missing valuesMissing
시설코드(USE_FACILITY_CD).5 has 613 (67.9%) missing valuesMissing
시설소개(FACILITY_INTRO) has 732 (81.1%) missing valuesMissing
시설 홈페이지(URL) has 753 (83.4%) missing valuesMissing
시설연락처1(AREA_TEL_NO) has 632 (70.0%) missing valuesMissing
숙박가능여부(ROOM_YN) has 744 (82.4%) missing valuesMissing
프로그램여부(PROGRAM_YN) has 763 (84.5%) missing valuesMissing
식사가능여부_사용안함(MEAL_YN) has 901 (99.8%) missing valuesMissing
숙박소개(ROOM_INTRO) has 832 (92.1%) missing valuesMissing
등록일자(INPUT_DT).6 has 613 (67.9%) missing valuesMissing
수정일자(UPDATE_DT).6 has 682 (75.5%) missing valuesMissing
삭제여부(DEL_YN) has 613 (67.9%) missing valuesMissing
삭제사유(DEL_REASON) has 903 (100.0%) missing valuesMissing
식당가능여부(RESTAURANT_YN) has 884 (97.9%) missing valuesMissing
취사가능여부(COOK_YN) has 808 (89.5%) missing valuesMissing
시설코드(USE_FACILITY_CD).6 has 903 (100.0%) missing valuesMissing
순번(SEQ) has 903 (100.0%) missing valuesMissing
행정처분 코드 (K025)(ADMIN_DISP_CD) has 903 (100.0%) missing valuesMissing
행정처분일(ADMIN_DISP_DT) has 903 (100.0%) missing valuesMissing
행정처분 종료일(ADMIN_DISP_END_DT) has 903 (100.0%) missing valuesMissing
행정처분 사유(ADMIN_DISP_REASON) has 903 (100.0%) missing valuesMissing
수정일자(UPDATE_DT) is an unsupported type, check if it needs cleaning or further analysisUnsupported
수정일자(UPDATE_DT).1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
인력기준(WORKER_STND) is an unsupported type, check if it needs cleaning or further analysisUnsupported
재발급 신청 사유 (K023)(REISSUE_REASON) is an unsupported type, check if it needs cleaning or further analysisUnsupported
수정일자(UPDATE_DT).4 is an unsupported type, check if it needs cleaning or further analysisUnsupported
인력기준(WORKER_STND).1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
삭제사유(DEL_REASON) is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설코드(USE_FACILITY_CD).6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
순번(SEQ) is an unsupported type, check if it needs cleaning or further analysisUnsupported
행정처분 코드 (K025)(ADMIN_DISP_CD) is an unsupported type, check if it needs cleaning or further analysisUnsupported
행정처분일(ADMIN_DISP_DT) is an unsupported type, check if it needs cleaning or further analysisUnsupported
행정처분 종료일(ADMIN_DISP_END_DT) is an unsupported type, check if it needs cleaning or further analysisUnsupported
행정처분 사유(ADMIN_DISP_REASON) is an unsupported type, check if it needs cleaning or further analysisUnsupported
인력기준_숲해설가(PRO_FORE_EXPL) has 78 (8.6%) zerosZeros
인력기준_유아숲지도사(PRO_CHILD_FORE) has 157 (17.4%) zerosZeros
인력기준_상근관리자(PRO_EMP_MNGR) has 159 (17.6%) zerosZeros
인력기준_숲해설가(PRO_FORE_EXPL).1 has 57 (6.3%) zerosZeros
시설팩스번호2(MID_FAX_NO) has 12 (1.3%) zerosZeros
시설팩스번호3(END_FAX_NO) has 12 (1.3%) zerosZeros
인력기준_산림치유지도사 2급(PRO_FORE_HEAL_LV2).2 has 238 (26.4%) zerosZeros
인력기준_숲해설가(PRO_FORE_EXPL).2 has 90 (10.0%) zerosZeros
인력기준_유아숲지도사(PRO_CHILD_FORE).2 has 227 (25.1%) zerosZeros
인력기준_상근관리자(PRO_EMP_MNGR).2 has 219 (24.3%) zerosZeros
시설팩스번호2(MID_FAX_NO).1 has 12 (1.3%) zerosZeros
시설팩스번호3(END_FAX_NO).1 has 12 (1.3%) zerosZeros
인력기준_산림치유지도사 2급(PRO_FORE_HEAL_LV2).3 has 324 (35.9%) zerosZeros
인력기준_숲해설가(PRO_FORE_EXPL).3 has 218 (24.1%) zerosZeros
인력기준_상근관리자(PRO_EMP_MNGR).3 has 314 (34.8%) zerosZeros

Reproduction

Analysis started2023-12-12 12:24:07.797347
Analysis finished2023-12-12 12:24:11.886142
Duration4.09 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호(SEQ)
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
717 
1
186 

Length

Max length4
Median length4
Mean length3.3820598
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 717
79.4%
1 186
 
20.6%

Length

2023-12-12T21:24:11.967547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:24:12.080884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 717
79.4%
1 186
 
20.6%

인력구분(WORKER_TYPE)
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
717 
T
124 
E
 
62

Length

Max length4
Median length4
Mean length3.3820598
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 717
79.4%
T 124
 
13.7%
E 62
 
6.9%

Length

2023-12-12T21:24:12.204629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:24:12.338397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 717
79.4%
t 124
 
13.7%
e 62
 
6.9%

인력기준_산림치유지도사 1급(PRO_FORE_HEAL_LV1)
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
717 
0
173 
1
 
12
2
 
1

Length

Max length4
Median length4
Mean length3.3820598
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 717
79.4%
0 173
 
19.2%
1 12
 
1.3%
2 1
 
0.1%

Length

2023-12-12T21:24:12.459857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:24:12.585302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 717
79.4%
0 173
 
19.2%
1 12
 
1.3%
2 1
 
0.1%

인력기준_산림치유지도사 2급(PRO_FORE_HEAL_LV2)
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
717 
0
171 
2
 
7
3
 
3
1
 
3

Length

Max length4
Median length4
Mean length3.3820598
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 717
79.4%
0 171
 
18.9%
2 7
 
0.8%
3 3
 
0.3%
1 3
 
0.3%
4 2
 
0.2%

Length

2023-12-12T21:24:12.722750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:24:12.868154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 717
79.4%
0 171
 
18.9%
2 7
 
0.8%
3 3
 
0.3%
1 3
 
0.3%
4 2
 
0.2%

인력기준_숲해설가(PRO_FORE_EXPL)
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)4.3%
Missing717
Missing (%)79.4%
Infinite0
Infinite (%)0.0%
Mean1.4193548
Minimum0
Maximum8
Zeros78
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2023-12-12T21:24:12.979177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q32
95-th percentile4
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.4543324
Coefficient of variation (CV)1.0246433
Kurtosis1.8838941
Mean1.4193548
Median Absolute Deviation (MAD)1
Skewness1.0303179
Sum264
Variance2.1150828
MonotonicityNot monotonic
2023-12-12T21:24:13.102989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 78
 
8.6%
2 73
 
8.1%
3 18
 
2.0%
4 6
 
0.7%
1 5
 
0.6%
5 3
 
0.3%
6 2
 
0.2%
8 1
 
0.1%
(Missing) 717
79.4%
ValueCountFrequency (%)
0 78
8.6%
1 5
 
0.6%
2 73
8.1%
3 18
 
2.0%
4 6
 
0.7%
5 3
 
0.3%
6 2
 
0.2%
8 1
 
0.1%
ValueCountFrequency (%)
8 1
 
0.1%
6 2
 
0.2%
5 3
 
0.3%
4 6
 
0.7%
3 18
 
2.0%
2 73
8.1%
1 5
 
0.6%
0 78
8.6%

인력기준_유아숲지도사(PRO_CHILD_FORE)
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)3.8%
Missing717
Missing (%)79.4%
Infinite0
Infinite (%)0.0%
Mean0.3655914
Minimum0
Maximum14
Zeros157
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2023-12-12T21:24:13.247178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.3216284
Coefficient of variation (CV)3.6150423
Kurtosis64.695136
Mean0.3655914
Median Absolute Deviation (MAD)0
Skewness7.0974016
Sum68
Variance1.7467015
MonotonicityNot monotonic
2023-12-12T21:24:13.367431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 157
 
17.4%
1 13
 
1.4%
2 10
 
1.1%
3 2
 
0.2%
4 2
 
0.2%
7 1
 
0.1%
14 1
 
0.1%
(Missing) 717
79.4%
ValueCountFrequency (%)
0 157
17.4%
1 13
 
1.4%
2 10
 
1.1%
3 2
 
0.2%
4 2
 
0.2%
7 1
 
0.1%
14 1
 
0.1%
ValueCountFrequency (%)
14 1
 
0.1%
7 1
 
0.1%
4 2
 
0.2%
3 2
 
0.2%
2 10
 
1.1%
1 13
 
1.4%
0 157
17.4%

인력기준_숲길체험지도사(PRO_FORE_ROAD_EXP)
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
717 
0
163 
1
 
21
2
 
2

Length

Max length4
Median length4
Mean length3.3820598
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 717
79.4%
0 163
 
18.1%
1 21
 
2.3%
2 2
 
0.2%

Length

2023-12-12T21:24:13.563822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:24:13.706009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 717
79.4%
0 163
 
18.1%
1 21
 
2.3%
2 2
 
0.2%

인력기준_상근관리자(PRO_EMP_MNGR)
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)3.8%
Missing717
Missing (%)79.4%
Infinite0
Infinite (%)0.0%
Mean0.34946237
Minimum0
Maximum7
Zeros159
Zeros (%)17.6%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2023-12-12T21:24:13.844470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0862406
Coefficient of variation (CV)3.1083192
Kurtosis15.452123
Mean0.34946237
Median Absolute Deviation (MAD)0
Skewness3.8464072
Sum65
Variance1.1799186
MonotonicityNot monotonic
2023-12-12T21:24:13.979917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 159
 
17.6%
1 13
 
1.4%
5 5
 
0.6%
2 5
 
0.6%
3 2
 
0.2%
4 1
 
0.1%
7 1
 
0.1%
(Missing) 717
79.4%
ValueCountFrequency (%)
0 159
17.6%
1 13
 
1.4%
2 5
 
0.6%
3 2
 
0.2%
4 1
 
0.1%
5 5
 
0.6%
7 1
 
0.1%
ValueCountFrequency (%)
7 1
 
0.1%
5 5
 
0.6%
4 1
 
0.1%
3 2
 
0.2%
2 5
 
0.6%
1 13
 
1.4%
0 159
17.6%

등록일자(INPUT_DT)
Text

MISSING 

Distinct178
Distinct (%)95.7%
Missing717
Missing (%)79.4%
Memory size7.2 KiB
2023-12-12T21:24:14.419057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters1302
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique170 ?
Unique (%)91.4%

Sample

1st row20:35.0
2nd row23:23.0
3rd row49:45.0
4th row01:19.0
5th row04:47.0
ValueCountFrequency (%)
28:33.0 2
 
1.1%
35:19.0 2
 
1.1%
01:39.0 2
 
1.1%
25:27.0 2
 
1.1%
56:46.0 2
 
1.1%
19:35.0 2
 
1.1%
04:47.0 2
 
1.1%
05:20.0 2
 
1.1%
09:34.0 1
 
0.5%
49:06.0 1
 
0.5%
Other values (168) 168
90.3%
2023-12-12T21:24:14.938853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 277
21.3%
: 186
14.3%
. 186
14.3%
3 104
 
8.0%
1 102
 
7.8%
5 100
 
7.7%
2 98
 
7.5%
4 92
 
7.1%
6 48
 
3.7%
9 40
 
3.1%
Other values (2) 69
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 930
71.4%
Other Punctuation 372
 
28.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 277
29.8%
3 104
 
11.2%
1 102
 
11.0%
5 100
 
10.8%
2 98
 
10.5%
4 92
 
9.9%
6 48
 
5.2%
9 40
 
4.3%
8 38
 
4.1%
7 31
 
3.3%
Other Punctuation
ValueCountFrequency (%)
: 186
50.0%
. 186
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1302
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 277
21.3%
: 186
14.3%
. 186
14.3%
3 104
 
8.0%
1 102
 
7.8%
5 100
 
7.7%
2 98
 
7.5%
4 92
 
7.1%
6 48
 
3.7%
9 40
 
3.1%
Other values (2) 69
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1302
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 277
21.3%
: 186
14.3%
. 186
14.3%
3 104
 
8.0%
1 102
 
7.8%
5 100
 
7.7%
2 98
 
7.5%
4 92
 
7.1%
6 48
 
3.7%
9 40
 
3.1%
Other values (2) 69
 
5.3%

수정일자(UPDATE_DT)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing903
Missing (%)100.0%
Memory size8.1 KiB

시설코드(USE_FACILITY_CD)
Real number (ℝ)

MISSING 

Distinct123
Distinct (%)100.0%
Missing780
Missing (%)86.4%
Infinite0
Infinite (%)0.0%
Mean208.11382
Minimum118
Maximum403
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2023-12-12T21:24:15.129888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum118
5-th percentile124.1
Q1149.5
median180
Q3265.5
95-th percentile389.9
Maximum403
Range285
Interquartile range (IQR)116

Descriptive statistics

Standard deviation78.784745
Coefficient of variation (CV)0.37856566
Kurtosis0.34830832
Mean208.11382
Median Absolute Deviation (MAD)42
Skewness1.1071676
Sum25598
Variance6207.0361
MonotonicityNot monotonic
2023-12-12T21:24:15.303178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
272 1
 
0.1%
277 1
 
0.1%
276 1
 
0.1%
270 1
 
0.1%
269 1
 
0.1%
264 1
 
0.1%
263 1
 
0.1%
261 1
 
0.1%
210 1
 
0.1%
137 1
 
0.1%
Other values (113) 113
 
12.5%
(Missing) 780
86.4%
ValueCountFrequency (%)
118 1
0.1%
119 1
0.1%
120 1
0.1%
121 1
0.1%
122 1
0.1%
123 1
0.1%
124 1
0.1%
125 1
0.1%
126 1
0.1%
127 1
0.1%
ValueCountFrequency (%)
403 1
0.1%
401 1
0.1%
399 1
0.1%
398 1
0.1%
392 1
0.1%
391 1
0.1%
390 1
0.1%
389 1
0.1%
386 1
0.1%
384 1
0.1%

일련번호(SEQ).1
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
780 
1
123 

Length

Max length4
Median length4
Mean length3.5913621
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 780
86.4%
1 123
 
13.6%

Length

2023-12-12T21:24:15.476799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:24:15.602181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 780
86.4%
1 123
 
13.6%

인력구분(WORKER_TYPE).1
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
781 
T
 
77
E
 
45

Length

Max length4
Median length4
Mean length3.5946844
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 781
86.5%
T 77
 
8.5%
E 45
 
5.0%

Length

2023-12-12T21:24:15.723212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:24:16.146306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 781
86.5%
t 77
 
8.5%
e 45
 
5.0%

인력기준_산림치유지도사 1급(PRO_FORE_HEAL_LV1).1
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
780 
0
113 
1
 
9
2
 
1

Length

Max length4
Median length4
Mean length3.5913621
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 780
86.4%
0 113
 
12.5%
1 9
 
1.0%
2 1
 
0.1%

Length

2023-12-12T21:24:16.260615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:24:16.374096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 780
86.4%
0 113
 
12.5%
1 9
 
1.0%
2 1
 
0.1%

인력기준_산림치유지도사 2급(PRO_FORE_HEAL_LV2).1
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
780 
0
112 
2
 
6
1
 
3
4
 
1

Length

Max length4
Median length4
Mean length3.5913621
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 780
86.4%
0 112
 
12.4%
2 6
 
0.7%
1 3
 
0.3%
4 1
 
0.1%
3 1
 
0.1%

Length

2023-12-12T21:24:16.513421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:24:16.624639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 780
86.4%
0 112
 
12.4%
2 6
 
0.7%
1 3
 
0.3%
4 1
 
0.1%
3 1
 
0.1%

인력기준_숲해설가(PRO_FORE_EXPL).1
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)6.5%
Missing780
Missing (%)86.4%
Infinite0
Infinite (%)0.0%
Mean1.3658537
Minimum0
Maximum8
Zeros57
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2023-12-12T21:24:16.722037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q32
95-th percentile4
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5747406
Coefficient of variation (CV)1.1529351
Kurtosis2.3080579
Mean1.3658537
Median Absolute Deviation (MAD)2
Skewness1.3077952
Sum168
Variance2.4798081
MonotonicityNot monotonic
2023-12-12T21:24:16.837916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 57
 
6.3%
2 43
 
4.8%
3 9
 
1.0%
4 4
 
0.4%
1 4
 
0.4%
5 3
 
0.3%
6 2
 
0.2%
8 1
 
0.1%
(Missing) 780
86.4%
ValueCountFrequency (%)
0 57
6.3%
1 4
 
0.4%
2 43
4.8%
3 9
 
1.0%
4 4
 
0.4%
5 3
 
0.3%
6 2
 
0.2%
8 1
 
0.1%
ValueCountFrequency (%)
8 1
 
0.1%
6 2
 
0.2%
5 3
 
0.3%
4 4
 
0.4%
3 9
 
1.0%
2 43
4.8%
1 4
 
0.4%
0 57
6.3%

인력기준_유아숲지도사(PRO_CHILD_FORE).1
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
780 
0
101 
1
 
11
2
 
8
4
 
2

Length

Max length4
Median length4
Mean length3.5913621
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 780
86.4%
0 101
 
11.2%
1 11
 
1.2%
2 8
 
0.9%
4 2
 
0.2%
3 1
 
0.1%

Length

2023-12-12T21:24:16.997742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:24:17.139241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 780
86.4%
0 101
 
11.2%
1 11
 
1.2%
2 8
 
0.9%
4 2
 
0.2%
3 1
 
0.1%

인력기준_숲길체험지도사(PRO_FORE_ROAD_EXP).1
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
780 
0
112 
1
 
9
2
 
2

Length

Max length4
Median length4
Mean length3.5913621
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 780
86.4%
0 112
 
12.4%
1 9
 
1.0%
2 2
 
0.2%

Length

2023-12-12T21:24:17.272420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:24:17.409473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 780
86.4%
0 112
 
12.4%
1 9
 
1.0%
2 2
 
0.2%

인력기준_상근관리자(PRO_EMP_MNGR).1
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
780 
0
105 
1
 
11
5
 
3
2
 
3

Length

Max length4
Median length4
Mean length3.5913621
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 780
86.4%
0 105
 
11.6%
1 11
 
1.2%
5 3
 
0.3%
2 3
 
0.3%
7 1
 
0.1%

Length

2023-12-12T21:24:17.576121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:24:17.720498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 780
86.4%
0 105
 
11.6%
1 11
 
1.2%
5 3
 
0.3%
2 3
 
0.3%
7 1
 
0.1%

등록일자(INPUT_DT).1
Text

MISSING 

Distinct119
Distinct (%)96.7%
Missing780
Missing (%)86.4%
Memory size7.2 KiB
2023-12-12T21:24:18.131381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters861
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique115 ?
Unique (%)93.5%

Sample

1st row20:35.0
2nd row23:23.0
3rd row49:45.0
4th row01:19.0
5th row30:31.0
ValueCountFrequency (%)
25:27.0 2
 
1.6%
35:19.0 2
 
1.6%
19:35.0 2
 
1.6%
56:46.0 2
 
1.6%
33:37.0 1
 
0.8%
41:44.0 1
 
0.8%
50:20.0 1
 
0.8%
18:17.0 1
 
0.8%
01:02.0 1
 
0.8%
27:57.0 1
 
0.8%
Other values (109) 109
88.6%
2023-12-12T21:24:18.775846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 183
21.3%
: 123
14.3%
. 123
14.3%
3 75
8.7%
5 66
 
7.7%
4 64
 
7.4%
1 64
 
7.4%
2 62
 
7.2%
6 28
 
3.3%
9 25
 
2.9%
Other values (2) 48
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 615
71.4%
Other Punctuation 246
 
28.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 183
29.8%
3 75
12.2%
5 66
 
10.7%
4 64
 
10.4%
1 64
 
10.4%
2 62
 
10.1%
6 28
 
4.6%
9 25
 
4.1%
8 25
 
4.1%
7 23
 
3.7%
Other Punctuation
ValueCountFrequency (%)
: 123
50.0%
. 123
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 861
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 183
21.3%
: 123
14.3%
. 123
14.3%
3 75
8.7%
5 66
 
7.7%
4 64
 
7.4%
1 64
 
7.4%
2 62
 
7.2%
6 28
 
3.3%
9 25
 
2.9%
Other values (2) 48
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 861
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 183
21.3%
: 123
14.3%
. 123
14.3%
3 75
8.7%
5 66
 
7.7%
4 64
 
7.4%
1 64
 
7.4%
2 62
 
7.2%
6 28
 
3.3%
9 25
 
2.9%
Other values (2) 48
 
5.6%

수정일자(UPDATE_DT).1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing903
Missing (%)100.0%
Memory size8.1 KiB

시설코드(USE_FACILITY_CD).1
Real number (ℝ)

Distinct296
Distinct (%)32.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean186.15615
Minimum14
Maximum396
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2023-12-12T21:24:19.012185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile24.1
Q1123
median182
Q3247.5
95-th percentile352.9
Maximum396
Range382
Interquartile range (IQR)124.5

Descriptive statistics

Standard deviation93.285551
Coefficient of variation (CV)0.50111454
Kurtosis-0.6603558
Mean186.15615
Median Absolute Deviation (MAD)62
Skewness0.18735078
Sum168099
Variance8702.194
MonotonicityNot monotonic
2023-12-12T21:24:19.239779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
217 17
 
1.9%
18 10
 
1.1%
253 10
 
1.1%
142 9
 
1.0%
236 9
 
1.0%
98 9
 
1.0%
140 9
 
1.0%
267 8
 
0.9%
125 8
 
0.9%
64 8
 
0.9%
Other values (286) 806
89.3%
ValueCountFrequency (%)
14 6
0.7%
15 6
0.7%
16 5
0.6%
17 3
 
0.3%
18 10
1.1%
19 2
 
0.2%
20 6
0.7%
21 2
 
0.2%
22 2
 
0.2%
23 2
 
0.2%
ValueCountFrequency (%)
396 1
0.1%
395 1
0.1%
394 1
0.1%
393 1
0.1%
380 2
0.2%
379 2
0.2%
378 1
0.1%
377 1
0.1%
376 1
0.1%
375 1
0.1%

일련번호(SEQ).2
Real number (ℝ)

Distinct17
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8172757
Minimum1
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2023-12-12T21:24:19.381034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile7
Maximum17
Range16
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.1254582
Coefficient of variation (CV)0.75443741
Kurtosis6.6523623
Mean2.8172757
Median Absolute Deviation (MAD)1
Skewness2.0236928
Sum2544
Variance4.5175726
MonotonicityNot monotonic
2023-12-12T21:24:19.534897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1 294
32.6%
2 222
24.6%
3 133
14.7%
4 93
 
10.3%
5 72
 
8.0%
6 37
 
4.1%
7 20
 
2.2%
8 14
 
1.6%
9 7
 
0.8%
10 4
 
0.4%
Other values (7) 7
 
0.8%
ValueCountFrequency (%)
1 294
32.6%
2 222
24.6%
3 133
14.7%
4 93
 
10.3%
5 72
 
8.0%
6 37
 
4.1%
7 20
 
2.2%
8 14
 
1.6%
9 7
 
0.8%
10 4
 
0.4%
ValueCountFrequency (%)
17 1
 
0.1%
16 1
 
0.1%
15 1
 
0.1%
14 1
 
0.1%
13 1
 
0.1%
12 1
 
0.1%
11 1
 
0.1%
10 4
 
0.4%
9 7
0.8%
8 14
1.6%

가맹점 타입(STORE_TYPE)
Categorical

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
NP
314 
ON
183 
OFF
167 
FT
147 
UF
65 

Length

Max length4
Median length2
Mean length2.2447398
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOFF
2nd rowOFF
3rd rowON
4th rowOFF
5th rowOFF

Common Values

ValueCountFrequency (%)
NP 314
34.8%
ON 183
20.3%
OFF 167
18.5%
FT 147
16.3%
UF 65
 
7.2%
<NA> 27
 
3.0%

Length

2023-12-12T21:24:19.720275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:24:19.867138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
np 314
34.8%
on 183
20.3%
off 167
18.5%
ft 147
16.3%
uf 65
 
7.2%
na 27
 
3.0%

사용여부(USE_YN)
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
True
900 
False
 
3
ValueCountFrequency (%)
True 900
99.7%
False 3
 
0.3%
2023-12-12T21:24:19.998291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

등록일자(INPUT_DT).2
Text

Distinct269
Distinct (%)29.8%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
2023-12-12T21:24:20.408211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters6321
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique254 ?
Unique (%)28.1%

Sample

1st row34:36.0
2nd row15:35.0
3rd row31:40.0
4th row27:53.0
5th row27:09.0
ValueCountFrequency (%)
57:41.0 527
58.4%
48:14.0 94
 
10.4%
13:58.0 3
 
0.3%
14:10.0 3
 
0.3%
27:09.0 2
 
0.2%
34:35.0 2
 
0.2%
36:45.0 2
 
0.2%
08:46.0 2
 
0.2%
40:48.0 2
 
0.2%
37:56.0 2
 
0.2%
Other values (259) 264
29.2%
2023-12-12T21:24:21.031031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1044
16.5%
: 903
14.3%
. 903
14.3%
4 866
13.7%
1 773
12.2%
5 667
10.6%
7 586
9.3%
3 168
 
2.7%
8 161
 
2.5%
2 136
 
2.2%
Other values (2) 114
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4515
71.4%
Other Punctuation 1806
 
28.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1044
23.1%
4 866
19.2%
1 773
17.1%
5 667
14.8%
7 586
13.0%
3 168
 
3.7%
8 161
 
3.6%
2 136
 
3.0%
6 61
 
1.4%
9 53
 
1.2%
Other Punctuation
ValueCountFrequency (%)
: 903
50.0%
. 903
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6321
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1044
16.5%
: 903
14.3%
. 903
14.3%
4 866
13.7%
1 773
12.2%
5 667
10.6%
7 586
9.3%
3 168
 
2.7%
8 161
 
2.5%
2 136
 
2.2%
Other values (2) 114
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6321
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1044
16.5%
: 903
14.3%
. 903
14.3%
4 866
13.7%
1 773
12.2%
5 667
10.6%
7 586
9.3%
3 168
 
2.7%
8 161
 
2.5%
2 136
 
2.2%
Other values (2) 114
 
1.8%

수정일자(UPDATE_DT).2
Categorical

IMBALANCE 

Distinct19
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
794 
00:00.0
92 
57:03.0
 
1
29:03.0
 
1
39:54.0
 
1
Other values (14)
 
14

Length

Max length7
Median length4
Mean length4.3621262
Min length4

Unique

Unique17 ?
Unique (%)1.9%

Sample

1st row27:13.0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 794
87.9%
00:00.0 92
 
10.2%
57:03.0 1
 
0.1%
29:03.0 1
 
0.1%
39:54.0 1
 
0.1%
14:25.0 1
 
0.1%
35:11.0 1
 
0.1%
34:27.0 1
 
0.1%
18:27.0 1
 
0.1%
14:55.0 1
 
0.1%
Other values (9) 9
 
1.0%

Length

2023-12-12T21:24:21.220484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 794
87.9%
00:00.0 92
 
10.2%
08:33.0 1
 
0.1%
27:13.0 1
 
0.1%
02:08.0 1
 
0.1%
56:00.0 1
 
0.1%
53:41.0 1
 
0.1%
55:10.0 1
 
0.1%
21:56.0 1
 
0.1%
08:43.0 1
 
0.1%
Other values (9) 9
 
1.0%

시설코드(USE_FACILITY_CD).2
Real number (ℝ)

MISSING 

Distinct244
Distinct (%)97.2%
Missing652
Missing (%)72.2%
Infinite0
Infinite (%)0.0%
Mean173.9004
Minimum14
Maximum403
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2023-12-12T21:24:21.395949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile23.5
Q1111.5
median173
Q3235.5
95-th percentile285.5
Maximum403
Range389
Interquartile range (IQR)124

Descriptive statistics

Standard deviation89.088956
Coefficient of variation (CV)0.51229874
Kurtosis-0.049205524
Mean173.9004
Median Absolute Deviation (MAD)62
Skewness0.28362965
Sum43649
Variance7936.842
MonotonicityNot monotonic
2023-12-12T21:24:21.574027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210 2
 
0.2%
137 2
 
0.2%
15 2
 
0.2%
230 2
 
0.2%
233 2
 
0.2%
16 2
 
0.2%
14 2
 
0.2%
111 1
 
0.1%
113 1
 
0.1%
122 1
 
0.1%
Other values (234) 234
 
25.9%
(Missing) 652
72.2%
ValueCountFrequency (%)
14 2
0.2%
15 2
0.2%
16 2
0.2%
17 1
0.1%
18 1
0.1%
19 1
0.1%
20 1
0.1%
21 1
0.1%
22 1
0.1%
23 1
0.1%
ValueCountFrequency (%)
403 1
0.1%
401 1
0.1%
399 1
0.1%
398 1
0.1%
392 1
0.1%
391 1
0.1%
390 1
0.1%
389 1
0.1%
386 1
0.1%
384 1
0.1%

시설명(USE_FACILITY_NM)
Text

MISSING 

Distinct246
Distinct (%)95.3%
Missing645
Missing (%)71.4%
Memory size7.2 KiB
2023-12-12T21:24:21.818380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length8.2093023
Min length3

Characters and Unicode

Total characters2118
Distinct characters253
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique236 ?
Unique (%)91.5%

Sample

1st row국립운문산자연휴양림
2nd row국립운장산자연휴양림
3rd row국립횡성숲체원
4th row국립칠곡숲체원
5th row횡성숲체원
ValueCountFrequency (%)
유아숲체험원 13
 
4.5%
국립장성숲체원 3
 
1.0%
국립횡성숲체원 3
 
1.0%
정원 3
 
1.0%
치유의숲 3
 
1.0%
체험원 2
 
0.7%
흥림산자연휴양림 2
 
0.7%
화성시우리꽃식물원 2
 
0.7%
자연휴양림 2
 
0.7%
화원자연휴양림 2
 
0.7%
Other values (246) 253
87.8%
2023-12-12T21:24:22.185443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
림 173
 
8.2%
양 169
 
8.0%
자 161
 
7.6%
휴 161
 
7.6%
연 161
 
7.6%
산 130
 
6.1%
원 74
 
3.5%
숲 53
 
2.5%
국 47
 
2.2%
립 46
 
2.2%
Other values (243) 943
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2088
98.6%
Space Separator 30
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
림 173
 
8.3%
양 169
 
8.1%
자 161
 
7.7%
휴 161
 
7.7%
연 161
 
7.7%
산 130
 
6.2%
원 74
 
3.5%
숲 53
 
2.5%
국 47
 
2.3%
립 46
 
2.2%
Other values (242) 913
43.7%
Space Separator
ValueCountFrequency (%)
30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2088
98.6%
Common 30
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
림 173
 
8.3%
양 169
 
8.1%
자 161
 
7.7%
휴 161
 
7.7%
연 161
 
7.7%
산 130
 
6.2%
원 74
 
3.5%
숲 53
 
2.5%
국 47
 
2.3%
립 46
 
2.2%
Other values (242) 913
43.7%
Common
ValueCountFrequency (%)
30
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2088
98.6%
ASCII 30
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
림 173
 
8.3%
양 169
 
8.1%
자 161
 
7.7%
휴 161
 
7.7%
연 161
 
7.7%
산 130
 
6.2%
원 74
 
3.5%
숲 53
 
2.5%
국 47
 
2.3%
립 46
 
2.2%
Other values (242) 913
43.7%
ASCII
ValueCountFrequency (%)
30
100.0%

시설구분 (1:국립, 2:일반)(USE_FACILITY_GB)
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
645 
사립휴양림
233 
공립휴양림
 
17
진흥원소속기관
 
4
국립휴양림
 
2
Other values (2)
 
2

Length

Max length7
Median length4
Mean length4.2890365
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 645
71.4%
사립휴양림 233
 
25.8%
공립휴양림 17
 
1.9%
진흥원소속기관 4
 
0.4%
국립휴양림 2
 
0.2%
기타 1
 
0.1%
전문업 1
 
0.1%

Length

2023-12-12T21:24:22.322977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:24:22.449736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 645
71.4%
사립휴양림 233
 
25.8%
공립휴양림 17
 
1.9%
진흥원소속기관 4
 
0.4%
국립휴양림 2
 
0.2%
기타 1
 
0.1%
전문업 1
 
0.1%

시설종류 (K015)(USE_FACILITY_KIND)
Categorical

IMBALANCE 

Distinct11
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
645 
자연휴양림
163 
유아숲체험원
 
26
수목원
 
21
치유의숲
 
17
Other values (6)
 
31

Length

Max length7
Median length4
Mean length4.2447398
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row자연휴양림
2nd row자연휴양림
3rd row산림교육센터
4th row산림교육센터
5th row산림교육센터

Common Values

ValueCountFrequency (%)
<NA> 645
71.4%
자연휴양림 163
 
18.1%
유아숲체험원 26
 
2.9%
수목원 21
 
2.3%
치유의숲 17
 
1.9%
산림교육센터 16
 
1.8%
정원 7
 
0.8%
산림욕장 3
 
0.3%
숲속야영장 3
 
0.3%
국립산림치유원 1
 
0.1%

Length

2023-12-12T21:24:22.604473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 645
71.4%
자연휴양림 163
 
18.1%
유아숲체험원 26
 
2.9%
수목원 21
 
2.3%
치유의숲 17
 
1.9%
산림교육센터 16
 
1.8%
정원 7
 
0.8%
산림욕장 3
 
0.3%
숲속야영장 3
 
0.3%
국립산림치유원 1
 
0.1%

신청서 구분 (K016)(REQ_GB)
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
645 
등록
251 
변경
 
7

Length

Max length4
Median length4
Mean length3.4285714
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row등록
2nd row등록
3rd row등록
4th row변경
5th row등록

Common Values

ValueCountFrequency (%)
<NA> 645
71.4%
등록 251
 
27.8%
변경 7
 
0.8%

Length

2023-12-12T21:24:22.757895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:24:22.888566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 645
71.4%
등록 251
 
27.8%
변경 7
 
0.8%

시설그룹 코드(GROUP_CD)
Real number (ℝ)

MISSING 

Distinct242
Distinct (%)93.8%
Missing645
Missing (%)71.4%
Infinite0
Infinite (%)0.0%
Mean121.13953
Minimum1
Maximum242
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2023-12-12T21:24:23.030879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.85
Q160.25
median122.5
Q3180.75
95-th percentile230.15
Maximum242
Range241
Interquartile range (IQR)120.5

Descriptive statistics

Standard deviation70.556349
Coefficient of variation (CV)0.58243866
Kurtosis-1.2015296
Mean121.13953
Median Absolute Deviation (MAD)60.5
Skewness-0.017875868
Sum31254
Variance4978.1984
MonotonicityNot monotonic
2023-12-12T21:24:23.231012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150 3
 
0.3%
2 2
 
0.2%
86 2
 
0.2%
175 2
 
0.2%
192 2
 
0.2%
235 2
 
0.2%
148 2
 
0.2%
178 2
 
0.2%
45 2
 
0.2%
226 2
 
0.2%
Other values (232) 237
 
26.2%
(Missing) 645
71.4%
ValueCountFrequency (%)
1 2
0.2%
2 2
0.2%
3 2
0.2%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
242 1
0.1%
241 1
0.1%
240 1
0.1%
239 1
0.1%
238 1
0.1%
237 1
0.1%
236 1
0.1%
235 2
0.2%
234 1
0.1%
233 1
0.1%

서비스제공자 등록번호(REG_CERT_NO)
Text

MISSING 

Distinct83
Distinct (%)94.3%
Missing815
Missing (%)90.3%
Memory size7.2 KiB
2023-12-12T21:24:23.553336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.9659091
Min length1

Characters and Unicode

Total characters261
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)88.6%

Sample

1st row3
2nd row2
3rd row1
4th row147
5th row155
ValueCountFrequency (%)
155 2
 
2.3%
177 2
 
2.3%
225 2
 
2.3%
174 2
 
2.3%
224 2
 
2.3%
232 1
 
1.1%
229 1
 
1.1%
218 1
 
1.1%
213 1
 
1.1%
211 1
 
1.1%
Other values (73) 73
83.0%
2023-12-12T21:24:24.110712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 62
23.8%
2 60
23.0%
7 23
 
8.8%
3 20
 
7.7%
6 18
 
6.9%
8 18
 
6.9%
5 17
 
6.5%
0 16
 
6.1%
4 12
 
4.6%
9 11
 
4.2%
Other values (2) 4
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 257
98.5%
Other Letter 4
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 62
24.1%
2 60
23.3%
7 23
 
8.9%
3 20
 
7.8%
6 18
 
7.0%
8 18
 
7.0%
5 17
 
6.6%
0 16
 
6.2%
4 12
 
4.7%
9 11
 
4.3%
Other Letter
ValueCountFrequency (%)
제 2
50.0%
호 2
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 257
98.5%
Hangul 4
 
1.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1 62
24.1%
2 60
23.3%
7 23
 
8.9%
3 20
 
7.8%
6 18
 
7.0%
8 18
 
7.0%
5 17
 
6.6%
0 16
 
6.2%
4 12
 
4.7%
9 11
 
4.3%
Hangul
ValueCountFrequency (%)
제 2
50.0%
호 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 257
98.5%
Hangul 4
 
1.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 62
24.1%
2 60
23.3%
7 23
 
8.9%
3 20
 
7.8%
6 18
 
7.0%
8 18
 
7.0%
5 17
 
6.6%
0 16
 
6.2%
4 12
 
4.7%
9 11
 
4.3%
Hangul
ValueCountFrequency (%)
제 2
50.0%
호 2
50.0%

서비스제공자 등록일자(REG_CERT_DT)
Text

MISSING 

Distinct82
Distinct (%)93.2%
Missing815
Missing (%)90.3%
Memory size7.2 KiB
2023-12-12T21:24:24.433158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters616
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)88.6%

Sample

1st row00:00.0
2nd row00:00.0
3rd row00:00.0
4th row29:01.0
5th row29:43.0
ValueCountFrequency (%)
00:00.0 4
 
4.5%
56:03.0 2
 
2.3%
29:43.0 2
 
2.3%
01:44.0 2
 
2.3%
53:21.0 1
 
1.1%
56:48.0 1
 
1.1%
38:14.0 1
 
1.1%
50:20.0 1
 
1.1%
58:12.0 1
 
1.1%
37:23.0 1
 
1.1%
Other values (72) 72
81.8%
2023-12-12T21:24:24.867304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 146
23.7%
: 88
14.3%
. 88
14.3%
4 49
 
8.0%
1 49
 
8.0%
3 47
 
7.6%
5 47
 
7.6%
2 38
 
6.2%
6 25
 
4.1%
9 14
 
2.3%
Other values (2) 25
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 440
71.4%
Other Punctuation 176
 
28.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 146
33.2%
4 49
 
11.1%
1 49
 
11.1%
3 47
 
10.7%
5 47
 
10.7%
2 38
 
8.6%
6 25
 
5.7%
9 14
 
3.2%
8 14
 
3.2%
7 11
 
2.5%
Other Punctuation
ValueCountFrequency (%)
: 88
50.0%
. 88
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 616
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 146
23.7%
: 88
14.3%
. 88
14.3%
4 49
 
8.0%
1 49
 
8.0%
3 47
 
7.6%
5 47
 
7.6%
2 38
 
6.2%
6 25
 
4.1%
9 14
 
2.3%
Other values (2) 25
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 616
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 146
23.7%
: 88
14.3%
. 88
14.3%
4 49
 
8.0%
1 49
 
8.0%
3 47
 
7.6%
5 47
 
7.6%
2 38
 
6.2%
6 25
 
4.1%
9 14
 
2.3%
Other values (2) 25
 
4.1%

우편번호(ZIP_NO)
Real number (ℝ)

MISSING 

Distinct221
Distinct (%)85.7%
Missing645
Missing (%)71.4%
Infinite0
Infinite (%)0.0%
Mean36735.694
Minimum11001
Maximum63622
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2023-12-12T21:24:25.044297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11001
5-th percentile12413.95
Q125443
median34459
Q352906
95-th percentile59417.7
Maximum63622
Range52621
Interquartile range (IQR)27463

Descriptive statistics

Standard deviation15434.738
Coefficient of variation (CV)0.42015642
Kurtosis-1.1056365
Mean36735.694
Median Absolute Deviation (MAD)9880.5
Skewness0.13978402
Sum9477809
Variance2.3823113 × 108
MonotonicityNot monotonic
2023-12-12T21:24:25.226542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25261 5
 
0.6%
57202 3
 
0.3%
27452 3
 
0.3%
55078 3
 
0.3%
12448 3
 
0.3%
12547 3
 
0.3%
38368 3
 
0.3%
36515 2
 
0.2%
50524 2
 
0.2%
39846 2
 
0.2%
Other values (211) 229
 
25.4%
(Missing) 645
71.4%
ValueCountFrequency (%)
11001 1
0.1%
11017 1
0.1%
11103 1
0.1%
11123 1
0.1%
11163 1
0.1%
11486 1
0.1%
11498 2
0.2%
11518 1
0.1%
12025 1
0.1%
12100 1
0.1%
ValueCountFrequency (%)
63622 1
0.1%
63577 1
0.1%
63576 1
0.1%
63554 1
0.1%
63345 1
0.1%
63313 1
0.1%
63005 1
0.1%
59777 1
0.1%
59623 1
0.1%
59521 1
0.1%

주소(ADDR)
Text

MISSING 

Distinct218
Distinct (%)84.5%
Missing645
Missing (%)71.4%
Memory size7.2 KiB
2023-12-12T21:24:25.654159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length25
Mean length13.100775
Min length7

Characters and Unicode

Total characters3380
Distinct characters205
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique185 ?
Unique (%)71.7%

Sample

1st row경상북도 청도군 운문면 운문로 763
2nd row전라북도 진안군 정천면 휴양림길 77
3rd row강원도 횡성군 둔내면 청태산로 777
4th row경상북도 칠곡군 석적읍 유학로 532
5th row강원도 횡성군 둔내면 청태산로 777
ValueCountFrequency (%)
강원도 43
 
5.1%
경상북도 39
 
4.6%
전라남도 37
 
4.4%
경기도 35
 
4.2%
충청북도 23
 
2.7%
충청남도 22
 
2.6%
전라북도 19
 
2.3%
경상남도 15
 
1.8%
가평군 8
 
1.0%
양평군 8
 
1.0%
Other values (389) 592
70.4%
2023-12-12T21:24:26.239799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
583
 
17.2%
도 251
 
7.4%
면 176
 
5.2%
군 158
 
4.7%
시 112
 
3.3%
북 105
 
3.1%
남 94
 
2.8%
경 94
 
2.8%
전 65
 
1.9%
산 65
 
1.9%
Other values (195) 1677
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2630
77.8%
Space Separator 583
 
17.2%
Decimal Number 162
 
4.8%
Dash Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 251
 
9.5%
면 176
 
6.7%
군 158
 
6.0%
시 112
 
4.3%
북 105
 
4.0%
남 94
 
3.6%
경 94
 
3.6%
전 65
 
2.5%
산 65
 
2.5%
청 63
 
2.4%
Other values (183) 1447
55.0%
Decimal Number
ValueCountFrequency (%)
1 26
16.0%
3 23
14.2%
2 22
13.6%
7 21
13.0%
5 16
9.9%
6 13
8.0%
8 12
7.4%
0 10
 
6.2%
9 10
 
6.2%
4 9
 
5.6%
Space Separator
ValueCountFrequency (%)
583
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2630
77.8%
Common 750
 
22.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 251
 
9.5%
면 176
 
6.7%
군 158
 
6.0%
시 112
 
4.3%
북 105
 
4.0%
남 94
 
3.6%
경 94
 
3.6%
전 65
 
2.5%
산 65
 
2.5%
청 63
 
2.4%
Other values (183) 1447
55.0%
Common
ValueCountFrequency (%)
583
77.7%
1 26
 
3.5%
3 23
 
3.1%
2 22
 
2.9%
7 21
 
2.8%
5 16
 
2.1%
6 13
 
1.7%
8 12
 
1.6%
0 10
 
1.3%
9 10
 
1.3%
Other values (2) 14
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2630
77.8%
ASCII 750
 
22.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
583
77.7%
1 26
 
3.5%
3 23
 
3.1%
2 22
 
2.9%
7 21
 
2.8%
5 16
 
2.1%
6 13
 
1.7%
8 12
 
1.6%
0 10
 
1.3%
9 10
 
1.3%
Other values (2) 14
 
1.9%
Hangul
ValueCountFrequency (%)
도 251
 
9.5%
면 176
 
6.7%
군 158
 
6.0%
시 112
 
4.3%
북 105
 
4.0%
남 94
 
3.6%
경 94
 
3.6%
전 65
 
2.5%
산 65
 
2.5%
청 63
 
2.4%
Other values (183) 1447
55.0%

상세주소(DETAIL_ADDR)
Text

MISSING 

Distinct243
Distinct (%)94.2%
Missing645
Missing (%)71.4%
Memory size7.2 KiB
2023-12-12T21:24:26.644328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length12.077519
Min length5

Characters and Unicode

Total characters3116
Distinct characters284
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique229 ?
Unique (%)88.8%

Sample

1st row국립운문산자연휴양림
2nd row국립운장산자연휴양림
3rd row국립횡성숲체원
4th row칠곡나눔숲체원
5th row횡성숲체원
ValueCountFrequency (%)
휴양림길 5
 
0.9%
국립횡성숲체원 3
 
0.5%
국립장성숲체원 3
 
0.5%
우성1길 3
 
0.5%
수목원로 3
 
0.5%
191 3
 
0.5%
180 3
 
0.5%
독배길 3
 
0.5%
14-12 3
 
0.5%
칠갑산로 2
 
0.4%
Other values (486) 532
94.5%
2023-12-12T21:24:27.221320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
305
 
9.8%
1 180
 
5.8%
길 119
 
3.8%
2 116
 
3.7%
산 109
 
3.5%
로 103
 
3.3%
양 98
 
3.1%
림 97
 
3.1%
휴 90
 
2.9%
3 87
 
2.8%
Other values (274) 1812
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1877
60.2%
Decimal Number 844
27.1%
Space Separator 305
 
9.8%
Dash Punctuation 82
 
2.6%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
길 119
 
6.3%
산 109
 
5.8%
로 103
 
5.5%
양 98
 
5.2%
림 97
 
5.2%
휴 90
 
4.8%
연 84
 
4.5%
자 83
 
4.4%
원 50
 
2.7%
국 37
 
2.0%
Other values (259) 1007
53.6%
Decimal Number
ValueCountFrequency (%)
1 180
21.3%
2 116
13.7%
3 87
10.3%
5 82
9.7%
7 77
9.1%
0 68
 
8.1%
4 62
 
7.3%
6 61
 
7.2%
8 60
 
7.1%
9 51
 
6.0%
Space Separator
ValueCountFrequency (%)
305
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1877
60.2%
Common 1239
39.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
길 119
 
6.3%
산 109
 
5.8%
로 103
 
5.5%
양 98
 
5.2%
림 97
 
5.2%
휴 90
 
4.8%
연 84
 
4.5%
자 83
 
4.4%
원 50
 
2.7%
국 37
 
2.0%
Other values (259) 1007
53.6%
Common
ValueCountFrequency (%)
305
24.6%
1 180
14.5%
2 116
 
9.4%
3 87
 
7.0%
- 82
 
6.6%
5 82
 
6.6%
7 77
 
6.2%
0 68
 
5.5%
4 62
 
5.0%
6 61
 
4.9%
Other values (5) 119
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1877
60.2%
ASCII 1239
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
305
24.6%
1 180
14.5%
2 116
 
9.4%
3 87
 
7.0%
- 82
 
6.6%
5 82
 
6.6%
7 77
 
6.2%
0 68
 
5.5%
4 62
 
5.0%
6 61
 
4.9%
Other values (5) 119
 
9.6%
Hangul
ValueCountFrequency (%)
길 119
 
6.3%
산 109
 
5.8%
로 103
 
5.5%
양 98
 
5.2%
림 97
 
5.2%
휴 90
 
4.8%
연 84
 
4.5%
자 83
 
4.4%
원 50
 
2.7%
국 37
 
2.0%
Other values (259) 1007
53.6%

시설전화번호1(AREA_TEL_NO)
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)6.6%
Missing645
Missing (%)71.4%
Infinite0
Infinite (%)0.0%
Mean45.674419
Minimum2
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2023-12-12T21:24:27.361127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile31
Q133
median43
Q355
95-th percentile63
Maximum70
Range68
Interquartile range (IQR)22

Descriptive statistics

Standard deviation14.308803
Coefficient of variation (CV)0.31327827
Kurtosis0.79992611
Mean45.674419
Median Absolute Deviation (MAD)11
Skewness-0.82016593
Sum11784
Variance204.74183
MonotonicityNot monotonic
2023-12-12T21:24:27.501949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
33 42
 
4.7%
54 38
 
4.2%
61 37
 
4.1%
31 28
 
3.1%
43 23
 
2.5%
41 21
 
2.3%
63 18
 
2.0%
55 15
 
1.7%
2 9
 
1.0%
64 7
 
0.8%
Other values (7) 20
 
2.2%
(Missing) 645
71.4%
ValueCountFrequency (%)
2 9
 
1.0%
31 28
3.1%
32 3
 
0.3%
33 42
4.7%
41 21
2.3%
42 4
 
0.4%
43 23
2.5%
44 2
 
0.2%
51 1
 
0.1%
52 4
 
0.4%
ValueCountFrequency (%)
70 1
 
0.1%
64 7
 
0.8%
63 18
2.0%
61 37
4.1%
55 15
 
1.7%
54 38
4.2%
53 5
 
0.6%
52 4
 
0.4%
51 1
 
0.1%
44 2
 
0.2%

시설팩스번호1(AREA_FAX_NO)
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)7.0%
Missing645
Missing (%)71.4%
Infinite0
Infinite (%)0.0%
Mean45.682171
Minimum2
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2023-12-12T21:24:27.649162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile31
Q133
median43
Q355
95-th percentile63
Maximum70
Range68
Interquartile range (IQR)22

Descriptive statistics

Standard deviation14.111278
Coefficient of variation (CV)0.30890121
Kurtosis0.66272534
Mean45.682171
Median Absolute Deviation (MAD)11
Skewness-0.75518901
Sum11786
Variance199.12816
MonotonicityNot monotonic
2023-12-12T21:24:28.190568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
33 43
 
4.8%
61 37
 
4.1%
54 37
 
4.1%
31 30
 
3.3%
43 23
 
2.5%
41 21
 
2.3%
63 18
 
2.0%
55 15
 
1.7%
2 8
 
0.9%
64 6
 
0.7%
Other values (8) 20
 
2.2%
(Missing) 645
71.4%
ValueCountFrequency (%)
2 8
 
0.9%
31 30
3.3%
32 3
 
0.3%
33 43
4.8%
41 21
2.3%
42 3
 
0.3%
43 23
2.5%
44 1
 
0.1%
51 2
 
0.2%
52 4
 
0.4%
ValueCountFrequency (%)
70 1
 
0.1%
64 6
 
0.7%
63 18
2.0%
62 1
 
0.1%
61 37
4.1%
55 15
1.7%
54 37
4.1%
53 5
 
0.6%
52 4
 
0.4%
51 2
 
0.2%

시설팩스번호2(MID_FAX_NO)
Real number (ℝ)

MISSING  ZEROS 

Distinct163
Distinct (%)63.2%
Missing645
Missing (%)71.4%
Infinite0
Infinite (%)0.0%
Mean727.98062
Minimum0
Maximum8079
Zeros12
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2023-12-12T21:24:28.376694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile215.45
Q1364.75
median580
Q3787.25
95-th percentile971.9
Maximum8079
Range8079
Interquartile range (IQR)422.5

Descriptive statistics

Standard deviation1058.5651
Coefficient of variation (CV)1.4541116
Kurtosis35.933143
Mean727.98062
Median Absolute Deviation (MAD)213.5
Skewness5.8275384
Sum187819
Variance1120560
MonotonicityNot monotonic
2023-12-12T21:24:28.582001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12
 
1.3%
851 5
 
0.6%
282 5
 
0.6%
450 5
 
0.6%
340 4
 
0.4%
930 4
 
0.4%
550 4
 
0.4%
540 4
 
0.4%
770 3
 
0.3%
8008 3
 
0.3%
Other values (153) 209
 
23.1%
(Missing) 645
71.4%
ValueCountFrequency (%)
0 12
1.3%
201 1
 
0.1%
218 1
 
0.1%
220 1
 
0.1%
222 1
 
0.1%
229 3
 
0.3%
231 1
 
0.1%
235 1
 
0.1%
240 2
 
0.2%
243 1
 
0.1%
ValueCountFrequency (%)
8079 1
 
0.1%
8008 3
0.3%
5189 2
0.2%
4170 1
 
0.1%
1111 1
 
0.1%
979 3
0.3%
977 2
0.2%
971 1
 
0.1%
970 1
 
0.1%
963 1
 
0.1%

시설팩스번호3(END_FAX_NO)
Real number (ℝ)

MISSING  ZEROS 

Distinct207
Distinct (%)80.2%
Missing645
Missing (%)71.4%
Infinite0
Infinite (%)0.0%
Mean4697.5543
Minimum0
Maximum9984
Zeros12
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2023-12-12T21:24:28.797055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile71.45
Q12439
median4583
Q36771.5
95-th percentile9455.25
Maximum9984
Range9984
Interquartile range (IQR)4332.5

Descriptive statistics

Standard deviation2859.7613
Coefficient of variation (CV)0.60877663
Kurtosis-1.078819
Mean4697.5543
Median Absolute Deviation (MAD)2166
Skewness0.12305029
Sum1211969
Variance8178234.5
MonotonicityNot monotonic
2023-12-12T21:24:28.990328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12
 
1.3%
6401 4
 
0.4%
5128 4
 
0.4%
6519 4
 
0.4%
7979 3
 
0.3%
1080 3
 
0.3%
7588 3
 
0.3%
5718 3
 
0.3%
9468 3
 
0.3%
5086 2
 
0.2%
Other values (197) 217
 
24.0%
(Missing) 645
71.4%
ValueCountFrequency (%)
0 12
1.3%
57 1
 
0.1%
74 1
 
0.1%
114 1
 
0.1%
121 1
 
0.1%
145 1
 
0.1%
173 1
 
0.1%
264 1
 
0.1%
545 1
 
0.1%
549 1
 
0.1%
ValueCountFrequency (%)
9984 1
 
0.1%
9978 1
 
0.1%
9972 1
 
0.1%
9903 1
 
0.1%
9829 2
0.2%
9768 1
 
0.1%
9751 1
 
0.1%
9747 1
 
0.1%
9544 1
 
0.1%
9468 3
0.3%

시설기준(FACILITY_STND)
Text

MISSING 

Distinct187
Distinct (%)72.8%
Missing646
Missing (%)71.5%
Memory size7.2 KiB
2023-12-12T21:24:29.224156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length442
Median length157
Mean length70.501946
Min length1

Characters and Unicode

Total characters18119
Distinct characters415
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique172 ?
Unique (%)66.9%

Sample

1st row숙박시설(연립동 4동, 숲속의 집 5동, 산림문화휴양관 2동, 숲속수련장 1동, 야영장 야영데크), 편익시설(주차장, 방문자안내소), 위생시설(야외화장실, 야외취사장, 오수정화시설), 체험교육시설(산책로, 회의실, 목공예체험장, 야생식물관찰원), 체육시설(잔디광장, 족구장), 안전시설(사방댐, 화재경보기) 등
2nd row숙박시설(연립동 1동, 숲속수련장 1동, 숲속의 집 10동, 산림문화휴양관 1동), 편익시설(주차장), 위생시설(실외화장실, 오수정화시설), 체험교육시설(산책로, 체험장), 체육시설(다목적잔디구장), 전기·통신시설(휴대전화중계기, 변전설비) 안전시설(소화기, 화재경보기, CCTV, 방송시설)
3rd row1. 일반기준 : 임야 159,710㎡ 2. 기본시설 가. 강의실(대강당, 중강당, 대배움방, 중배움방), 나. 실내실습장(체험방), 다. 도서실, 라. 안내실, 사무실, 마. 화장실, 냉난방시설 3. 지원시설 : 세미나실, 숙박시설, 양호실
4th row1. 일반기준 : 300,000 2. 기본시설 : 강의실, 실내실습장, 도서실, 대강당, 관리 및 사무실, 안내시설, 화장실 3. 지원시설 : 휴게실, 양호실, 단체숙소, 구내식당/매점
5th row복건복지부 시설분류에 따른 장애인거주시설
ValueCountFrequency (%)
184
 
5.8%
등 138
 
4.4%
숙박시설 56
 
1.8%
위생시설 55
 
1.7%
체육시설 49
 
1.6%
1 48
 
1.5%
안전시설 47
 
1.5%
주차장 47
 
1.5%
1동 46
 
1.5%
화장실 46
 
1.5%
Other values (963) 2443
77.3%
2023-12-12T21:24:29.636338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3220
 
17.8%
, 1501
 
8.3%
시 898
 
5.0%
설 878
 
4.8%
장 457
 
2.5%
) 397
 
2.2%
( 395
 
2.2%
실 378
 
2.1%
체 285
 
1.6%
. 247
 
1.4%
Other values (405) 9463
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11050
61.0%
Space Separator 3220
 
17.8%
Other Punctuation 1941
 
10.7%
Decimal Number 870
 
4.8%
Close Punctuation 400
 
2.2%
Open Punctuation 398
 
2.2%
Uppercase Letter 105
 
0.6%
Lowercase Letter 55
 
0.3%
Dash Punctuation 52
 
0.3%
Other Symbol 25
 
0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 898
 
8.1%
설 878
 
7.9%
장 457
 
4.1%
실 378
 
3.4%
체 285
 
2.6%
전 223
 
2.0%
화 222
 
2.0%
육 219
 
2.0%
동 215
 
1.9%
등 175
 
1.6%
Other values (366) 7100
64.3%
Decimal Number
ValueCountFrequency (%)
1 239
27.5%
2 144
16.6%
3 103
11.8%
0 88
 
10.1%
4 71
 
8.2%
6 65
 
7.5%
5 58
 
6.7%
8 37
 
4.3%
7 36
 
4.1%
9 29
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
m 15
27.3%
a 9
16.4%
h 9
16.4%
c 9
16.4%
k 5
 
9.1%
t 4
 
7.3%
v 3
 
5.5%
p 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 1501
77.3%
. 247
 
12.7%
: 148
 
7.6%
· 15
 
0.8%
/ 15
 
0.8%
？ 12
 
0.6%
% 3
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
C 52
49.5%
V 26
24.8%
T 26
24.8%
B 1
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 397
99.2%
] 3
 
0.8%
Open Punctuation
ValueCountFrequency (%)
( 395
99.2%
[ 3
 
0.8%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
3220
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 25
100.0%
Other Number
ValueCountFrequency (%)
² 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11050
61.0%
Common 6909
38.1%
Latin 160
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 898
 
8.1%
설 878
 
7.9%
장 457
 
4.1%
실 378
 
3.4%
체 285
 
2.6%
전 223
 
2.0%
화 222
 
2.0%
육 219
 
2.0%
동 215
 
1.9%
등 175
 
1.6%
Other values (366) 7100
64.3%
Common
ValueCountFrequency (%)
3220
46.6%
, 1501
21.7%
) 397
 
5.7%
( 395
 
5.7%
. 247
 
3.6%
1 239
 
3.5%
: 148
 
2.1%
2 144
 
2.1%
3 103
 
1.5%
0 88
 
1.3%
Other values (17) 427
 
6.2%
Latin
ValueCountFrequency (%)
C 52
32.5%
V 26
16.2%
T 26
16.2%
m 15
 
9.4%
a 9
 
5.6%
h 9
 
5.6%
c 9
 
5.6%
k 5
 
3.1%
t 4
 
2.5%
v 3
 
1.9%
Other values (2) 2
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11050
61.0%
ASCII 7016
38.7%
None 28
 
0.2%
CJK Compat 25
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3220
45.9%
, 1501
21.4%
) 397
 
5.7%
( 395
 
5.6%
. 247
 
3.5%
1 239
 
3.4%
: 148
 
2.1%
2 144
 
2.1%
3 103
 
1.5%
0 88
 
1.3%
Other values (25) 534
 
7.6%
Hangul
ValueCountFrequency (%)
시 898
 
8.1%
설 878
 
7.9%
장 457
 
4.1%
실 378
 
3.4%
체 285
 
2.6%
전 223
 
2.0%
화 222
 
2.0%
육 219
 
2.0%
동 215
 
1.9%
등 175
 
1.6%
Other values (366) 7100
64.3%
CJK Compat
ValueCountFrequency (%)
㎡ 25
100.0%
None
ValueCountFrequency (%)
· 15
53.6%
？ 12
42.9%
² 1
 
3.6%

인력기준(WORKER_STND)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing903
Missing (%)100.0%
Memory size8.1 KiB

인력기준_산림치유지도사 1급(PRO_FORE_HEAL_LV1).2
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
645 
0
240 
1
 
16
2
 
2

Length

Max length4
Median length4
Mean length3.1428571
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 645
71.4%
0 240
 
26.6%
1 16
 
1.8%
2 2
 
0.2%

Length

2023-12-12T21:24:29.793227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:24:29.911607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 645
71.4%
0 240
 
26.6%
1 16
 
1.8%
2 2
 
0.2%

인력기준_산림치유지도사 2급(PRO_FORE_HEAL_LV2).2
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)2.3%
Missing645
Missing (%)71.4%
Infinite0
Infinite (%)0.0%
Mean0.20155039
Minimum0
Maximum8
Zeros238
Zeros (%)26.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2023-12-12T21:24:30.014036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.81216284
Coefficient of variation (CV)4.0295772
Kurtosis38.318416
Mean0.20155039
Median Absolute Deviation (MAD)0
Skewness5.4563145
Sum52
Variance0.65960848
MonotonicityNot monotonic
2023-12-12T21:24:30.131035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 238
 
26.4%
2 9
 
1.0%
3 5
 
0.6%
1 3
 
0.3%
4 2
 
0.2%
8 1
 
0.1%
(Missing) 645
71.4%
ValueCountFrequency (%)
0 238
26.4%
1 3
 
0.3%
2 9
 
1.0%
3 5
 
0.6%
4 2
 
0.2%
8 1
 
0.1%
ValueCountFrequency (%)
8 1
 
0.1%
4 2
 
0.2%
3 5
 
0.6%
2 9
 
1.0%
1 3
 
0.3%
0 238
26.4%

인력기준_숲해설가(PRO_FORE_EXPL).2
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)3.1%
Missing645
Missing (%)71.4%
Infinite0
Infinite (%)0.0%
Mean1.6162791
Minimum0
Maximum8
Zeros90
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2023-12-12T21:24:30.249524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q32
95-th percentile4
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5292373
Coefficient of variation (CV)0.9461468
Kurtosis2.698603
Mean1.6162791
Median Absolute Deviation (MAD)1
Skewness1.1792553
Sum417
Variance2.3385666
MonotonicityNot monotonic
2023-12-12T21:24:30.367245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 114
 
12.6%
0 90
 
10.0%
3 24
 
2.7%
4 9
 
1.0%
1 9
 
1.0%
5 6
 
0.7%
8 3
 
0.3%
6 3
 
0.3%
(Missing) 645
71.4%
ValueCountFrequency (%)
0 90
10.0%
1 9
 
1.0%
2 114
12.6%
3 24
 
2.7%
4 9
 
1.0%
5 6
 
0.7%
6 3
 
0.3%
8 3
 
0.3%
ValueCountFrequency (%)
8 3
 
0.3%
6 3
 
0.3%
5 6
 
0.7%
4 9
 
1.0%
3 24
 
2.7%
2 114
12.6%
1 9
 
1.0%
0 90
10.0%

인력기준_유아숲지도사(PRO_CHILD_FORE).2
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)2.7%
Missing645
Missing (%)71.4%
Infinite0
Infinite (%)0.0%
Mean0.27906977
Minimum0
Maximum14
Zeros227
Zeros (%)25.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2023-12-12T21:24:30.495705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1432546
Coefficient of variation (CV)4.0966623
Kurtosis85.76398
Mean0.27906977
Median Absolute Deviation (MAD)0
Skewness8.1122328
Sum72
Variance1.307031
MonotonicityNot monotonic
2023-12-12T21:24:30.647627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 227
 
25.1%
1 13
 
1.4%
2 12
 
1.3%
4 2
 
0.2%
3 2
 
0.2%
14 1
 
0.1%
7 1
 
0.1%
(Missing) 645
71.4%
ValueCountFrequency (%)
0 227
25.1%
1 13
 
1.4%
2 12
 
1.3%
3 2
 
0.2%
4 2
 
0.2%
7 1
 
0.1%
14 1
 
0.1%
ValueCountFrequency (%)
14 1
 
0.1%
7 1
 
0.1%
4 2
 
0.2%
3 2
 
0.2%
2 12
 
1.3%
1 13
 
1.4%
0 227
25.1%

인력기준_숲길체험지도사(PRO_FORE_ROAD_EXP).2
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
645 
0
236 
1
 
21
2
 
1

Length

Max length4
Median length4
Mean length3.1428571
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 645
71.4%
0 236
 
26.1%
1 21
 
2.3%
2 1
 
0.1%

Length

2023-12-12T21:24:30.824709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:24:30.964866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 645
71.4%
0 236
 
26.1%
1 21
 
2.3%
2 1
 
0.1%

인력기준_상근관리자(PRO_EMP_MNGR).2
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)3.9%
Missing645
Missing (%)71.4%
Infinite0
Infinite (%)0.0%
Mean0.47286822
Minimum0
Maximum12
Zeros219
Zeros (%)24.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2023-12-12T21:24:31.077901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.573504
Coefficient of variation (CV)3.3275739
Kurtosis25.989166
Mean0.47286822
Median Absolute Deviation (MAD)0
Skewness4.7127993
Sum122
Variance2.4759147
MonotonicityNot monotonic
2023-12-12T21:24:31.252424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 219
 
24.3%
1 16
 
1.8%
2 7
 
0.8%
5 5
 
0.6%
3 4
 
0.4%
12 2
 
0.2%
6 2
 
0.2%
8 1
 
0.1%
4 1
 
0.1%
7 1
 
0.1%
(Missing) 645
71.4%
ValueCountFrequency (%)
0 219
24.3%
1 16
 
1.8%
2 7
 
0.8%
3 4
 
0.4%
4 1
 
0.1%
5 5
 
0.6%
6 2
 
0.2%
7 1
 
0.1%
8 1
 
0.1%
12 2
 
0.2%
ValueCountFrequency (%)
12 2
 
0.2%
8 1
 
0.1%
7 1
 
0.1%
6 2
 
0.2%
5 5
 
0.6%
4 1
 
0.1%
3 4
 
0.4%
2 7
 
0.8%
1 16
 
1.8%
0 219
24.3%

재발급 신청 사유 (K023)(REISSUE_REASON)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing903
Missing (%)100.0%
Memory size8.1 KiB

첨부파일(ATCH_FILE_ID)
Text

MISSING 

Distinct258
Distinct (%)100.0%
Missing645
Missing (%)71.4%
Memory size7.2 KiB
2023-12-12T21:24:31.549289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters5160
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique258 ?
Unique (%)100.0%

Sample

1st rowFILE_000000000022246
2nd rowFILE_000000000022248
3rd rowFILE_000000000022191
4th rowFILE_000000000022197
5th rowFILE_000000000027804
ValueCountFrequency (%)
file_000000000049823 1
 
0.4%
file_000000000082418 1
 
0.4%
file_000000000050248 1
 
0.4%
file_000000000082416 1
 
0.4%
file_000000000030780 1
 
0.4%
file_000000000030782 1
 
0.4%
file_000000000049816 1
 
0.4%
file_000000000049820 1
 
0.4%
file_000000000049984 1
 
0.4%
file_000000000049988 1
 
0.4%
Other values (248) 248
96.1%
2023-12-12T21:24:31.954574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2695
52.2%
2 261
 
5.1%
F 258
 
5.0%
I 258
 
5.0%
L 258
 
5.0%
E 258
 
5.0%
_ 258
 
5.0%
5 186
 
3.6%
8 138
 
2.7%
1 135
 
2.6%
Other values (5) 455
 
8.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3870
75.0%
Uppercase Letter 1032
 
20.0%
Connector Punctuation 258
 
5.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2695
69.6%
2 261
 
6.7%
5 186
 
4.8%
8 138
 
3.6%
1 135
 
3.5%
4 107
 
2.8%
7 100
 
2.6%
9 91
 
2.4%
6 82
 
2.1%
3 75
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
F 258
25.0%
I 258
25.0%
L 258
25.0%
E 258
25.0%
Connector Punctuation
ValueCountFrequency (%)
_ 258
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4128
80.0%
Latin 1032
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2695
65.3%
2 261
 
6.3%
_ 258
 
6.2%
5 186
 
4.5%
8 138
 
3.3%
1 135
 
3.3%
4 107
 
2.6%
7 100
 
2.4%
9 91
 
2.2%
6 82
 
2.0%
Latin
ValueCountFrequency (%)
F 258
25.0%
I 258
25.0%
L 258
25.0%
E 258
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5160
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2695
52.2%
2 261
 
5.1%
F 258
 
5.0%
I 258
 
5.0%
L 258
 
5.0%
E 258
 
5.0%
_ 258
 
5.0%
5 186
 
3.6%
8 138
 
2.7%
1 135
 
2.6%
Other values (5) 455
 
8.8%

신청일자(REQ_DT)
Text

MISSING 

Distinct247
Distinct (%)95.7%
Missing645
Missing (%)71.4%
Memory size7.2 KiB
2023-12-12T21:24:32.330535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters1806
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique236 ?
Unique (%)91.5%

Sample

1st row42:14.0
2nd row48:30.0
3rd row52:11.0
4th row20:02.0
5th row26:09.0
ValueCountFrequency (%)
28:33.0 2
 
0.8%
51:44.0 2
 
0.8%
56:46.0 2
 
0.8%
56:36.0 2
 
0.8%
42:25.0 2
 
0.8%
19:35.0 2
 
0.8%
35:19.0 2
 
0.8%
01:39.0 2
 
0.8%
25:27.0 2
 
0.8%
04:47.0 2
 
0.8%
Other values (237) 238
92.2%
2023-12-12T21:24:32.907844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 381
21.1%
: 258
14.3%
. 258
14.3%
4 142
 
7.9%
1 142
 
7.9%
3 141
 
7.8%
2 137
 
7.6%
5 134
 
7.4%
6 64
 
3.5%
8 54
 
3.0%
Other values (2) 95
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1290
71.4%
Other Punctuation 516
 
28.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 381
29.5%
4 142
 
11.0%
1 142
 
11.0%
3 141
 
10.9%
2 137
 
10.6%
5 134
 
10.4%
6 64
 
5.0%
8 54
 
4.2%
9 53
 
4.1%
7 42
 
3.3%
Other Punctuation
ValueCountFrequency (%)
: 258
50.0%
. 258
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1806
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 381
21.1%
: 258
14.3%
. 258
14.3%
4 142
 
7.9%
1 142
 
7.9%
3 141
 
7.8%
2 137
 
7.6%
5 134
 
7.4%
6 64
 
3.5%
8 54
 
3.0%
Other values (2) 95
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1806
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 381
21.1%
: 258
14.3%
. 258
14.3%
4 142
 
7.9%
1 142
 
7.9%
3 141
 
7.8%
2 137
 
7.6%
5 134
 
7.4%
6 64
 
3.5%
8 54
 
3.0%
Other values (2) 95
 
5.3%

신청상태 (K017)(REQ_STS)
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
645 
승인
251 
접수
 
5
반려
 
2

Length

Max length4
Median length4
Mean length3.4285714
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row승인
2nd row승인
3rd row승인
4th row승인
5th row접수

Common Values

ValueCountFrequency (%)
<NA> 645
71.4%
승인 251
 
27.8%
접수 5
 
0.6%
반려 2
 
0.2%

Length

2023-12-12T21:24:33.075596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:24:33.213176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 645
71.4%
승인 251
 
27.8%
접수 5
 
0.6%
반려 2
 
0.2%

신청상태사유(STS_REASON)
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing901
Missing (%)99.8%
Memory size7.2 KiB
2023-12-12T21:24:33.375227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10.5
Mean length10.5
Min length7

Characters and Unicode

Total characters21
Distinct characters19
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row첨부서류 누락
2nd row유아숲체험원 우선등록 필요
ValueCountFrequency (%)
첨부서류 1
20.0%
누락 1
20.0%
유아숲체험원 1
20.0%
우선등록 1
20.0%
필요 1
20.0%
2023-12-12T21:24:33.746467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3
 
14.3%
첨 1
 
4.8%
체 1
 
4.8%
필 1
 
4.8%
록 1
 
4.8%
등 1
 
4.8%
선 1
 
4.8%
우 1
 
4.8%
원 1
 
4.8%
험 1
 
4.8%
Other values (9) 9
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18
85.7%
Space Separator 3
 
14.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
첨 1
 
5.6%
체 1
 
5.6%
필 1
 
5.6%
록 1
 
5.6%
등 1
 
5.6%
선 1
 
5.6%
우 1
 
5.6%
원 1
 
5.6%
험 1
 
5.6%
숲 1
 
5.6%
Other values (8) 8
44.4%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18
85.7%
Common 3
 
14.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
첨 1
 
5.6%
체 1
 
5.6%
필 1
 
5.6%
록 1
 
5.6%
등 1
 
5.6%
선 1
 
5.6%
우 1
 
5.6%
원 1
 
5.6%
험 1
 
5.6%
숲 1
 
5.6%
Other values (8) 8
44.4%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18
85.7%
ASCII 3
 
14.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3
100.0%
Hangul
ValueCountFrequency (%)
첨 1
 
5.6%
체 1
 
5.6%
필 1
 
5.6%
록 1
 
5.6%
등 1
 
5.6%
선 1
 
5.6%
우 1
 
5.6%
원 1
 
5.6%
험 1
 
5.6%
숲 1
 
5.6%
Other values (8) 8
44.4%

접수상태 (K018)(RCPT_STS)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
645 
완료
251 
서류심사중
 
5
RE
 
1
서류심사부적합
 
1

Length

Max length7
Median length4
Mean length3.4507198
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row완료
2nd row완료
3rd row완료
4th row완료
5th row서류심사중

Common Values

ValueCountFrequency (%)
<NA> 645
71.4%
완료 251
 
27.8%
서류심사중 5
 
0.6%
RE 1
 
0.1%
서류심사부적합 1
 
0.1%

Length

2023-12-12T21:24:33.926146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:24:34.059760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 645
71.4%
완료 251
 
27.8%
서류심사중 5
 
0.6%
re 1
 
0.1%
서류심사부적합 1
 
0.1%

접수일자(RCPT_DT)
Text

MISSING 

Distinct247
Distinct (%)95.7%
Missing645
Missing (%)71.4%
Memory size7.2 KiB
2023-12-12T21:24:34.481431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters1806
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique236 ?
Unique (%)91.5%

Sample

1st row42:14.0
2nd row48:30.0
3rd row52:11.0
4th row20:02.0
5th row26:09.0
ValueCountFrequency (%)
28:33.0 2
 
0.8%
51:44.0 2
 
0.8%
56:46.0 2
 
0.8%
56:36.0 2
 
0.8%
42:25.0 2
 
0.8%
19:35.0 2
 
0.8%
35:19.0 2
 
0.8%
01:39.0 2
 
0.8%
25:27.0 2
 
0.8%
04:47.0 2
 
0.8%
Other values (237) 238
92.2%
2023-12-12T21:24:35.092488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 381
21.1%
: 258
14.3%
. 258
14.3%
4 142
 
7.9%
1 142
 
7.9%
3 141
 
7.8%
2 137
 
7.6%
5 134
 
7.4%
6 64
 
3.5%
8 54
 
3.0%
Other values (2) 95
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1290
71.4%
Other Punctuation 516
 
28.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 381
29.5%
4 142
 
11.0%
1 142
 
11.0%
3 141
 
10.9%
2 137
 
10.6%
5 134
 
10.4%
6 64
 
5.0%
8 54
 
4.2%
9 53
 
4.1%
7 42
 
3.3%
Other Punctuation
ValueCountFrequency (%)
: 258
50.0%
. 258
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1806
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 381
21.1%
: 258
14.3%
. 258
14.3%
4 142
 
7.9%
1 142
 
7.9%
3 141
 
7.8%
2 137
 
7.6%
5 134
 
7.4%
6 64
 
3.5%
8 54
 
3.0%
Other values (2) 95
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1806
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 381
21.1%
: 258
14.3%
. 258
14.3%
4 142
 
7.9%
1 142
 
7.9%
3 141
 
7.8%
2 137
 
7.6%
5 134
 
7.4%
6 64
 
3.5%
8 54
 
3.0%
Other values (2) 95
 
5.3%

처리일자(APRV_DT)
Text

MISSING 

Distinct242
Distinct (%)95.7%
Missing650
Missing (%)72.0%
Memory size7.2 KiB
2023-12-12T21:24:35.494269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters1771
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique232 ?
Unique (%)91.7%

Sample

1st row42:14.0
2nd row48:30.0
3rd row52:11.0
4th row21:22.0
5th row23:00.0
ValueCountFrequency (%)
35:19.0 3
 
1.2%
21:22.0 2
 
0.8%
56:36.0 2
 
0.8%
56:46.0 2
 
0.8%
19:35.0 2
 
0.8%
51:44.0 2
 
0.8%
25:27.0 2
 
0.8%
16:34.0 2
 
0.8%
49:45.0 2
 
0.8%
42:25.0 2
 
0.8%
Other values (232) 232
91.7%
2023-12-12T21:24:36.103266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 370
20.9%
: 253
14.3%
. 253
14.3%
4 147
 
8.3%
1 136
 
7.7%
3 135
 
7.6%
5 135
 
7.6%
2 133
 
7.5%
9 59
 
3.3%
6 56
 
3.2%
Other values (2) 94
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1265
71.4%
Other Punctuation 506
 
28.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 370
29.2%
4 147
 
11.6%
1 136
 
10.8%
3 135
 
10.7%
5 135
 
10.7%
2 133
 
10.5%
9 59
 
4.7%
6 56
 
4.4%
8 52
 
4.1%
7 42
 
3.3%
Other Punctuation
ValueCountFrequency (%)
: 253
50.0%
. 253
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1771
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 370
20.9%
: 253
14.3%
. 253
14.3%
4 147
 
8.3%
1 136
 
7.7%
3 135
 
7.6%
5 135
 
7.6%
2 133
 
7.5%
9 59
 
3.3%
6 56
 
3.2%
Other values (2) 94
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1771
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 370
20.9%
: 253
14.3%
. 253
14.3%
4 147
 
8.3%
1 136
 
7.7%
3 135
 
7.6%
5 135
 
7.6%
2 133
 
7.5%
9 59
 
3.3%
6 56
 
3.2%
Other values (2) 94
 
5.3%

개인정보 수집/이용 동의(PRIVATE_USE_AGREE)
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.4%
Missing645
Missing (%)71.4%
Memory size1.9 KiB
True
258 
(Missing)
645 
ValueCountFrequency (%)
True 258
 
28.6%
(Missing) 645
71.4%
2023-12-12T21:24:36.247950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

개인정보 처리 동의(PRIVATE_PROC_AGREE)
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.4%
Missing645
Missing (%)71.4%
Memory size1.9 KiB
True
258 
(Missing)
645 
ValueCountFrequency (%)
True 258
 
28.6%
(Missing) 645
71.4%
2023-12-12T21:24:36.338639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

산림복지서비스 현황 정보의 공개 동의(FOWI_PUBLIC_AGREE)
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.4%
Missing645
Missing (%)71.4%
Memory size1.9 KiB
True
258 
(Missing)
645 
ValueCountFrequency (%)
True 258
 
28.6%
(Missing) 645
71.4%
2023-12-12T21:24:36.438082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

등록일자(INPUT_DT).3
Text

MISSING 

Distinct247
Distinct (%)95.7%
Missing645
Missing (%)71.4%
Memory size7.2 KiB
2023-12-12T21:24:36.858067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters1806
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique236 ?
Unique (%)91.5%

Sample

1st row42:14.0
2nd row48:30.0
3rd row52:11.0
4th row20:02.0
5th row26:09.0
ValueCountFrequency (%)
28:33.0 2
 
0.8%
51:44.0 2
 
0.8%
56:46.0 2
 
0.8%
56:36.0 2
 
0.8%
42:25.0 2
 
0.8%
19:35.0 2
 
0.8%
35:19.0 2
 
0.8%
01:39.0 2
 
0.8%
25:27.0 2
 
0.8%
04:47.0 2
 
0.8%
Other values (237) 238
92.2%
2023-12-12T21:24:37.482447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 381
21.1%
: 258
14.3%
. 258
14.3%
4 142
 
7.9%
1 142
 
7.9%
3 141
 
7.8%
2 137
 
7.6%
5 134
 
7.4%
6 64
 
3.5%
8 54
 
3.0%
Other values (2) 95
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1290
71.4%
Other Punctuation 516
 
28.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 381
29.5%
4 142
 
11.0%
1 142
 
11.0%
3 141
 
10.9%
2 137
 
10.6%
5 134
 
10.4%
6 64
 
5.0%
8 54
 
4.2%
9 53
 
4.1%
7 42
 
3.3%
Other Punctuation
ValueCountFrequency (%)
: 258
50.0%
. 258
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1806
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 381
21.1%
: 258
14.3%
. 258
14.3%
4 142
 
7.9%
1 142
 
7.9%
3 141
 
7.8%
2 137
 
7.6%
5 134
 
7.4%
6 64
 
3.5%
8 54
 
3.0%
Other values (2) 95
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1806
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 381
21.1%
: 258
14.3%
. 258
14.3%
4 142
 
7.9%
1 142
 
7.9%
3 141
 
7.8%
2 137
 
7.6%
5 134
 
7.4%
6 64
 
3.5%
8 54
 
3.0%
Other values (2) 95
 
5.3%

수정일자(UPDATE_DT).3
Text

MISSING 

Distinct65
Distinct (%)98.5%
Missing837
Missing (%)92.7%
Memory size7.2 KiB
2023-12-12T21:24:37.777994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters462
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)97.0%

Sample

1st row21:22.0
2nd row21:14.0
3rd row20:45.0
4th row56:38.0
5th row29:35.0
ValueCountFrequency (%)
21:22.0 2
 
3.0%
50:47.0 1
 
1.5%
51:25.0 1
 
1.5%
51:31.0 1
 
1.5%
51:38.0 1
 
1.5%
16:34.0 1
 
1.5%
49:45.0 1
 
1.5%
50:24.0 1
 
1.5%
58:09.0 1
 
1.5%
49:34.0 1
 
1.5%
Other values (55) 55
83.3%
2023-12-12T21:24:38.158699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 95
20.6%
: 66
14.3%
. 66
14.3%
1 40
8.7%
2 38
 
8.2%
5 38
 
8.2%
4 38
 
8.2%
3 29
 
6.3%
9 20
 
4.3%
6 12
 
2.6%
Other values (2) 20
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 330
71.4%
Other Punctuation 132
 
28.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 95
28.8%
1 40
12.1%
2 38
 
11.5%
5 38
 
11.5%
4 38
 
11.5%
3 29
 
8.8%
9 20
 
6.1%
6 12
 
3.6%
7 11
 
3.3%
8 9
 
2.7%
Other Punctuation
ValueCountFrequency (%)
: 66
50.0%
. 66
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 462
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 95
20.6%
: 66
14.3%
. 66
14.3%
1 40
8.7%
2 38
 
8.2%
5 38
 
8.2%
4 38
 
8.2%
3 29
 
6.3%
9 20
 
4.3%
6 12
 
2.6%
Other values (2) 20
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 462
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 95
20.6%
: 66
14.3%
. 66
14.3%
1 40
8.7%
2 38
 
8.2%
5 38
 
8.2%
4 38
 
8.2%
3 29
 
6.3%
9 20
 
4.3%
6 12
 
2.6%
Other values (2) 20
 
4.3%

시설그룹 코드(GROUP_CD).1
Real number (ℝ)

MISSING 

Distinct241
Distinct (%)99.6%
Missing661
Missing (%)73.2%
Infinite0
Infinite (%)0.0%
Mean121.68182
Minimum1
Maximum242
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2023-12-12T21:24:38.324963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.05
Q161.25
median122.5
Q3181.75
95-th percentile229.95
Maximum242
Range241
Interquartile range (IQR)120.5

Descriptive statistics

Standard deviation69.957678
Coefficient of variation (CV)0.57492302
Kurtosis-1.1955717
Mean121.68182
Median Absolute Deviation (MAD)60.5
Skewness-0.0071076664
Sum29447
Variance4894.0768
MonotonicityNot monotonic
2023-12-12T21:24:38.488461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126 2
 
0.2%
86 1
 
0.1%
38 1
 
0.1%
40 1
 
0.1%
41 1
 
0.1%
43 1
 
0.1%
47 1
 
0.1%
51 1
 
0.1%
54 1
 
0.1%
66 1
 
0.1%
Other values (231) 231
 
25.6%
(Missing) 661
73.2%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
242 1
0.1%
241 1
0.1%
240 1
0.1%
239 1
0.1%
238 1
0.1%
237 1
0.1%
236 1
0.1%
235 1
0.1%
234 1
0.1%
233 1
0.1%

담당자 구분 (K019)(MNG_GB)
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
661 
대표담당자
241 
추가담당자
 
1

Length

Max length5
Median length4
Mean length4.2679956
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 661
73.2%
대표담당자 241
 
26.7%
추가담당자 1
 
0.1%

Length

2023-12-12T21:24:38.661484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:24:38.768541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 661
73.2%
대표담당자 241
 
26.7%
추가담당자 1
 
0.1%

등록일자(INPUT_DT).4
Text

MISSING 

Distinct233
Distinct (%)96.3%
Missing661
Missing (%)73.2%
Memory size7.2 KiB
2023-12-12T21:24:39.113562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters1694
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique224 ?
Unique (%)92.6%

Sample

1st row48:30.0
2nd row23:00.0
3rd row52:11.0
4th row42:14.0
5th row07:18.0
ValueCountFrequency (%)
16:34.0 2
 
0.8%
49:45.0 2
 
0.8%
25:27.0 2
 
0.8%
42:25.0 2
 
0.8%
19:35.0 2
 
0.8%
56:36.0 2
 
0.8%
56:46.0 2
 
0.8%
51:44.0 2
 
0.8%
35:19.0 2
 
0.8%
58:28.0 1
 
0.4%
Other values (223) 223
92.1%
2023-12-12T21:24:39.686774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 357
21.1%
: 242
14.3%
. 242
14.3%
4 143
8.4%
5 131
 
7.7%
1 129
 
7.6%
3 126
 
7.4%
2 125
 
7.4%
9 55
 
3.2%
6 54
 
3.2%
Other values (2) 90
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1210
71.4%
Other Punctuation 484
 
28.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 357
29.5%
4 143
11.8%
5 131
 
10.8%
1 129
 
10.7%
3 126
 
10.4%
2 125
 
10.3%
9 55
 
4.5%
6 54
 
4.5%
8 51
 
4.2%
7 39
 
3.2%
Other Punctuation
ValueCountFrequency (%)
: 242
50.0%
. 242
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1694
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 357
21.1%
: 242
14.3%
. 242
14.3%
4 143
8.4%
5 131
 
7.7%
1 129
 
7.6%
3 126
 
7.4%
2 125
 
7.4%
9 55
 
3.2%
6 54
 
3.2%
Other values (2) 90
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1694
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 357
21.1%
: 242
14.3%
. 242
14.3%
4 143
8.4%
5 131
 
7.7%
1 129
 
7.6%
3 126
 
7.4%
2 125
 
7.4%
9 55
 
3.2%
6 54
 
3.2%
Other values (2) 90
 
5.3%

수정일자(UPDATE_DT).4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing903
Missing (%)100.0%
Memory size8.1 KiB

시설코드(USE_FACILITY_CD).3
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)96.9%
Missing871
Missing (%)96.5%
Infinite0
Infinite (%)0.0%
Mean114.21875
Minimum14
Maximum391
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2023-12-12T21:24:39.884413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile14.55
Q164.5
median100.5
Q3155.75
95-th percentile207.3
Maximum391
Range377
Interquartile range (IQR)91.25

Descriptive statistics

Standard deviation77.010152
Coefficient of variation (CV)0.67423389
Kurtosis4.0375442
Mean114.21875
Median Absolute Deviation (MAD)41.5
Skewness1.453541
Sum3655
Variance5930.5635
MonotonicityNot monotonic
2023-12-12T21:24:40.052778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
14 2
 
0.2%
59 1
 
0.1%
391 1
 
0.1%
182 1
 
0.1%
142 1
 
0.1%
99 1
 
0.1%
102 1
 
0.1%
66 1
 
0.1%
153 1
 
0.1%
69 1
 
0.1%
Other values (21) 21
 
2.3%
(Missing) 871
96.5%
ValueCountFrequency (%)
14 2
0.2%
15 1
0.1%
16 1
0.1%
52 1
0.1%
59 1
0.1%
61 1
0.1%
63 1
0.1%
65 1
0.1%
66 1
0.1%
67 1
0.1%
ValueCountFrequency (%)
391 1
0.1%
226 1
0.1%
192 1
0.1%
184 1
0.1%
182 1
0.1%
177 1
0.1%
176 1
0.1%
161 1
0.1%
154 1
0.1%
153 1
0.1%

프로그램 번호(PROGRAM_NO)
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
871 
1
 
31
2
 
1

Length

Max length4
Median length4
Mean length3.8936877
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 871
96.5%
1 31
 
3.4%
2 1
 
0.1%

Length

2023-12-12T21:24:40.207736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:24:40.317204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 871
96.5%
1 31
 
3.4%
2 1
 
0.1%

프로그램소개(PROGRAM_INTRO)
Text

MISSING 

Distinct29
Distinct (%)96.7%
Missing873
Missing (%)96.7%
Memory size7.2 KiB
2023-12-12T21:24:40.556172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length453
Median length169.5
Mean length181.96667
Min length6

Characters and Unicode

Total characters5459
Distinct characters443
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)93.3%

Sample

1st row프로그램: 놀이로 만나는 숲 목 적: 숲놀이를 통해 숲과 친밀감 형성 유 형: 실외체험형 참가대상: 유치원생, 초등 저학년, 장애인, 일반인 등 운영시간: 2시간 참가비용: 1만원/인
2nd row지리산자연휴양림에는 숲해설가 2명과 숲생태안내인 2명이, 연중 휴양림이용객을 대상으로 숲해설을 실시하고 있으며 주말 프로그램을 통해 알찬 산림휴양을 체험할 수 있도록 운영하고 있다. 토요일(저녁): 어린이, 청소년을 대상으로 숲속 야학(1~2시간) 일요일(오전): 한지뜨기체험 (휴양림 사정에 의해 변경될 수 있음.)
3rd row숲해설 (1일 2회) - 시간 : 오전 10:00, 오후 14:00 목공예 체험 (1일 2회) - 시간 : 오전 11:00, 오후 15:00 숲해설 / 목공예 실습 : 고진수 선생님
4th row자연그대로의 공간인 숲에서 만지고 보고 느끼는 오감을 통해 스스로 배울 수 있는 자연체험 공간입니다. 숲체험 교육은 주로 숲해설가들이 각 계절에 볼 수 있는 나무나 야생화, 곤충, 조류 등에 대해 실물을 보며 해설해 주고 있으며, 자연물을 이용한 작품 등을 아동들이 만들어 보게 하고, 숲에서 자연을 제험할 수 있게 활동합니다.
5th row숲해설은 숲 해설가의 안내에 따라 휴양림 안의 코스를 돌며 자연을 체험하는 활동입니다. 숲을 찾는 사람들에게 흥미와 호기심을 유발시키고 지식과 정보를 제공하여 숲의 소중함과 필요성을 배울 수 있는 프로그램 입니다.
ValueCountFrequency (%)
73
 
6.2%
수 23
 
2.0%
프로그램 15
 
1.3%
· 12
 
1.0%
있습니다 11
 
0.9%
합니다 8
 
0.7%
및 7
 
0.6%
있으며 7
 
0.6%
구성되어 6
 
0.5%
통해 6
 
0.5%
Other values (802) 1011
85.8%
2023-12-12T21:24:40.979438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1319
 
24.2%
로 95
 
1.7%
, 86
 
1.6%
을 81
 
1.5%
이 70
 
1.3%
다 69
 
1.3%
. 69
 
1.3%
하 65
 
1.2%
숲 64
 
1.2%
0 55
 
1.0%
Other values (433) 3486
63.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3502
64.2%
Space Separator 1319
 
24.2%
Other Punctuation 241
 
4.4%
Decimal Number 215
 
3.9%
Dash Punctuation 45
 
0.8%
Close Punctuation 32
 
0.6%
Open Punctuation 28
 
0.5%
Lowercase Letter 28
 
0.5%
Math Symbol 22
 
0.4%
Uppercase Letter 22
 
0.4%
Other values (3) 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 95
 
2.7%
을 81
 
2.3%
이 70
 
2.0%
다 69
 
2.0%
하 65
 
1.9%
숲 64
 
1.8%
니 54
 
1.5%
그 50
 
1.4%
프 49
 
1.4%
해 48
 
1.4%
Other values (386) 2857
81.6%
Uppercase Letter
ValueCountFrequency (%)
O 3
13.6%
E 3
13.6%
N 3
13.6%
S 2
9.1%
M 2
9.1%
A 2
9.1%
H 1
 
4.5%
L 1
 
4.5%
C 1
 
4.5%
R 1
 
4.5%
Other values (3) 3
13.6%
Other Punctuation
ValueCountFrequency (%)
, 86
35.7%
. 69
28.6%
: 48
19.9%
· 14
 
5.8%
/ 7
 
2.9%
" 4
 
1.7%
! 3
 
1.2%
* 3
 
1.2%
？ 3
 
1.2%
# 2
 
0.8%
Decimal Number
ValueCountFrequency (%)
0 55
25.6%
1 49
22.8%
3 28
13.0%
2 28
13.0%
5 15
 
7.0%
4 15
 
7.0%
8 10
 
4.7%
6 8
 
3.7%
7 5
 
2.3%
9 2
 
0.9%
Lowercase Letter
ValueCountFrequency (%)
m 15
53.6%
k 12
42.9%
c 1
 
3.6%
Final Punctuation
ValueCountFrequency (%)
” 1
50.0%
’ 1
50.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
50.0%
“ 1
50.0%
Space Separator
ValueCountFrequency (%)
1319
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Math Symbol
ValueCountFrequency (%)
~ 22
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3502
64.2%
Common 1907
34.9%
Latin 50
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 95
 
2.7%
을 81
 
2.3%
이 70
 
2.0%
다 69
 
2.0%
하 65
 
1.9%
숲 64
 
1.8%
니 54
 
1.5%
그 50
 
1.4%
프 49
 
1.4%
해 48
 
1.4%
Other values (386) 2857
81.6%
Common
ValueCountFrequency (%)
1319
69.2%
, 86
 
4.5%
. 69
 
3.6%
0 55
 
2.9%
1 49
 
2.6%
: 48
 
2.5%
- 45
 
2.4%
) 32
 
1.7%
( 28
 
1.5%
3 28
 
1.5%
Other values (21) 148
 
7.8%
Latin
ValueCountFrequency (%)
m 15
30.0%
k 12
24.0%
O 3
 
6.0%
E 3
 
6.0%
N 3
 
6.0%
S 2
 
4.0%
M 2
 
4.0%
A 2
 
4.0%
c 1
 
2.0%
H 1
 
2.0%
Other values (6) 6
 
12.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3501
64.1%
ASCII 1936
35.5%
None 17
 
0.3%
Punctuation 4
 
0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1319
68.1%
, 86
 
4.4%
. 69
 
3.6%
0 55
 
2.8%
1 49
 
2.5%
: 48
 
2.5%
- 45
 
2.3%
) 32
 
1.7%
( 28
 
1.4%
3 28
 
1.4%
Other values (31) 177
 
9.1%
Hangul
ValueCountFrequency (%)
로 95
 
2.7%
을 81
 
2.3%
이 70
 
2.0%
다 69
 
2.0%
하 65
 
1.9%
숲 64
 
1.8%
니 54
 
1.5%
그 50
 
1.4%
프 49
 
1.4%
해 48
 
1.4%
Other values (385) 2856
81.6%
None
ValueCountFrequency (%)
· 14
82.4%
？ 3
 
17.6%
Punctuation
ValueCountFrequency (%)
” 1
25.0%
‘ 1
25.0%
’ 1
25.0%
“ 1
25.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

시설코드(USE_FACILITY_CD).4
Real number (ℝ)

MISSING 

Distinct340
Distinct (%)100.0%
Missing563
Missing (%)62.3%
Infinite0
Infinite (%)0.0%
Mean222.07059
Minimum14
Maximum403
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2023-12-12T21:24:41.140253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile49.95
Q1137.75
median226.5
Q3312.25
95-th percentile380.05
Maximum403
Range389
Interquartile range (IQR)174.5

Descriptive statistics

Standard deviation105.9362
Coefficient of variation (CV)0.47703842
Kurtosis-1.0268215
Mean222.07059
Median Absolute Deviation (MAD)87.5
Skewness-0.14535624
Sum75504
Variance11222.479
MonotonicityNot monotonic
2023-12-12T21:24:41.302572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
282 1
 
0.1%
320 1
 
0.1%
317 1
 
0.1%
314 1
 
0.1%
310 1
 
0.1%
307 1
 
0.1%
303 1
 
0.1%
286 1
 
0.1%
284 1
 
0.1%
280 1
 
0.1%
Other values (330) 330
36.5%
(Missing) 563
62.3%
ValueCountFrequency (%)
14 1
0.1%
15 1
0.1%
16 1
0.1%
17 1
0.1%
18 1
0.1%
19 1
0.1%
20 1
0.1%
21 1
0.1%
22 1
0.1%
23 1
0.1%
ValueCountFrequency (%)
403 1
0.1%
401 1
0.1%
399 1
0.1%
398 1
0.1%
397 1
0.1%
396 1
0.1%
395 1
0.1%
394 1
0.1%
393 1
0.1%
392 1
0.1%

시설명(USE_FACILITY_NM).1
Text

MISSING 

Distinct338
Distinct (%)99.4%
Missing563
Missing (%)62.3%
Memory size7.2 KiB
2023-12-12T21:24:41.576480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length20
Mean length8.6911765
Min length3

Characters and Unicode

Total characters2955
Distinct characters324
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique336 ?
Unique (%)98.8%

Sample

1st row국립운문산자연휴양림
2nd row국립운장산자연휴양림
3rd row국립횡성숲체원
4th row학가산우래자연휴양림
5th row무등산편백자연휴양림
ValueCountFrequency (%)
주식회사 19
 
4.4%
사단법인 15
 
3.5%
유아숲체험원 13
 
3.0%
치유의숲 3
 
0.7%
협동조합 3
 
0.7%
사회적협동조합 3
 
0.7%
정원 3
 
0.7%
국립장성숲체원 2
 
0.5%
forest 2
 
0.5%
국립횡성숲체원 2
 
0.5%
Other values (359) 363
84.8%
2023-12-12T21:24:42.376258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
연 176
 
6.0%
림 175
 
5.9%
자 168
 
5.7%
양 163
 
5.5%
휴 155
 
5.2%
산 131
 
4.4%
숲 108
 
3.7%
88
 
3.0%
원 73
 
2.5%
사 58
 
2.0%
Other values (314) 1660
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2812
95.2%
Space Separator 88
 
3.0%
Uppercase Letter 27
 
0.9%
Open Punctuation 10
 
0.3%
Close Punctuation 10
 
0.3%
Other Punctuation 4
 
0.1%
Lowercase Letter 3
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
연 176
 
6.3%
림 175
 
6.2%
자 168
 
6.0%
양 163
 
5.8%
휴 155
 
5.5%
산 131
 
4.7%
숲 108
 
3.8%
원 73
 
2.6%
사 58
 
2.1%
국 51
 
1.8%
Other values (289) 1554
55.3%
Uppercase Letter
ValueCountFrequency (%)
E 4
14.8%
T 4
14.8%
L 3
11.1%
P 2
7.4%
S 2
7.4%
R 2
7.4%
O 2
7.4%
F 2
7.4%
Y 1
 
3.7%
A 1
 
3.7%
Other values (4) 4
14.8%
Lowercase Letter
ValueCountFrequency (%)
d 1
33.3%
t 1
33.3%
o 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 9
90.0%
（ 1
 
10.0%
Close Punctuation
ValueCountFrequency (%)
) 9
90.0%
） 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
. 3
75.0%
, 1
 
25.0%
Space Separator
ValueCountFrequency (%)
88
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2812
95.2%
Common 113
 
3.8%
Latin 30
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
연 176
 
6.3%
림 175
 
6.2%
자 168
 
6.0%
양 163
 
5.8%
휴 155
 
5.5%
산 131
 
4.7%
숲 108
 
3.8%
원 73
 
2.6%
사 58
 
2.1%
국 51
 
1.8%
Other values (289) 1554
55.3%
Latin
ValueCountFrequency (%)
E 4
13.3%
T 4
13.3%
L 3
10.0%
P 2
 
6.7%
S 2
 
6.7%
R 2
 
6.7%
O 2
 
6.7%
F 2
 
6.7%
Y 1
 
3.3%
A 1
 
3.3%
Other values (7) 7
23.3%
Common
ValueCountFrequency (%)
88
77.9%
( 9
 
8.0%
) 9
 
8.0%
. 3
 
2.7%
（ 1
 
0.9%
） 1
 
0.9%
- 1
 
0.9%
, 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2812
95.2%
ASCII 141
 
4.8%
None 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
연 176
 
6.3%
림 175
 
6.2%
자 168
 
6.0%
양 163
 
5.8%
휴 155
 
5.5%
산 131
 
4.7%
숲 108
 
3.8%
원 73
 
2.6%
사 58
 
2.1%
국 51
 
1.8%
Other values (289) 1554
55.3%
ASCII
ValueCountFrequency (%)
88
62.4%
( 9
 
6.4%
) 9
 
6.4%
E 4
 
2.8%
T 4
 
2.8%
L 3
 
2.1%
. 3
 
2.1%
P 2
 
1.4%
S 2
 
1.4%
R 2
 
1.4%
Other values (13) 15
 
10.6%
None
ValueCountFrequency (%)
（ 1
50.0%
） 1
50.0%

시설구분 (1:국립, 2:일반)(USE_FACILITY_GB)
Categorical

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
563 
공립휴양림
143 
전문업
99 
국립휴양림
 
44
사립휴양림
 
40

Length

Max length7
Median length4
Mean length4.1882614
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국립휴양림
2nd row국립휴양림
3rd row진흥원소속기관
4th row사립휴양림
5th row사립휴양림

Common Values

ValueCountFrequency (%)
<NA> 563
62.3%
공립휴양림 143
 
15.8%
전문업 99
 
11.0%
국립휴양림 44
 
4.9%
사립휴양림 40
 
4.4%
진흥원소속기관 14
 
1.6%

Length

2023-12-12T21:24:42.595125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:24:42.742756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 563
62.3%
공립휴양림 143
 
15.8%
전문업 99
 
11.0%
국립휴양림 44
 
4.9%
사립휴양림 40
 
4.4%
진흥원소속기관 14
 
1.6%

시설종류 (K015)(USE_FACILITY_KIND).1
Categorical

IMBALANCE 

Distinct12
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
563 
자연휴양림
154 
전문업
99 
유아숲체험원
 
23
수목원
 
20
Other values (7)
 
44

Length

Max length7
Median length4
Mean length4.110742
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row자연휴양림
2nd row자연휴양림
3rd row산림교육센터
4th row자연휴양림
5th row자연휴양림

Common Values

ValueCountFrequency (%)
<NA> 563
62.3%
자연휴양림 154
 
17.1%
전문업 99
 
11.0%
유아숲체험원 23
 
2.5%
수목원 20
 
2.2%
치유의숲 17
 
1.9%
산림교육센터 12
 
1.3%
정원 7
 
0.8%
산림욕장 3
 
0.3%
숲속야영장 3
 
0.3%
Other values (2) 2
 
0.2%

Length

2023-12-12T21:24:42.905046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 563
62.3%
자연휴양림 154
 
17.1%
전문업 99
 
11.0%
유아숲체험원 23
 
2.5%
수목원 20
 
2.2%
치유의숲 17
 
1.9%
산림교육센터 12
 
1.3%
정원 7
 
0.8%
산림욕장 3
 
0.3%
숲속야영장 3
 
0.3%
Other values (2) 2
 
0.2%

시설그룹 코드(GROUP_CD).2
Real number (ℝ)

MISSING 

Distinct241
Distinct (%)100.0%
Missing662
Missing (%)73.3%
Infinite0
Infinite (%)0.0%
Mean121.6639
Minimum1
Maximum242
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2023-12-12T21:24:43.058625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13
Q161
median122
Q3182
95-th percentile230
Maximum242
Range241
Interquartile range (IQR)121

Descriptive statistics

Standard deviation70.102716
Coefficient of variation (CV)0.5761998
Kurtosis-1.2031326
Mean121.6639
Median Absolute Deviation (MAD)61
Skewness-0.0063211053
Sum29321
Variance4914.3907
MonotonicityNot monotonic
2023-12-12T21:24:43.240297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
138 1
 
0.1%
164 1
 
0.1%
173 1
 
0.1%
174 1
 
0.1%
90 1
 
0.1%
100 1
 
0.1%
104 1
 
0.1%
105 1
 
0.1%
112 1
 
0.1%
113 1
 
0.1%
Other values (231) 231
 
25.6%
(Missing) 662
73.3%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
242 1
0.1%
241 1
0.1%
240 1
0.1%
239 1
0.1%
238 1
0.1%
237 1
0.1%
236 1
0.1%
235 1
0.1%
234 1
0.1%
233 1
0.1%

서비스제공자 등록번호(REG_CERT_NO).1
Real number (ℝ)

MISSING 

Distinct241
Distinct (%)100.0%
Missing662
Missing (%)73.3%
Infinite0
Infinite (%)0.0%
Mean121
Minimum1
Maximum241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2023-12-12T21:24:43.416162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13
Q161
median121
Q3181
95-th percentile229
Maximum241
Range240
Interquartile range (IQR)120

Descriptive statistics

Standard deviation69.714896
Coefficient of variation (CV)0.57615616
Kurtosis-1.2
Mean121
Median Absolute Deviation (MAD)60
Skewness0
Sum29161
Variance4860.1667
MonotonicityNot monotonic
2023-12-12T21:24:43.628808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
137 1
 
0.1%
163 1
 
0.1%
172 1
 
0.1%
173 1
 
0.1%
86 1
 
0.1%
67 1
 
0.1%
70 1
 
0.1%
71 1
 
0.1%
96 1
 
0.1%
99 1
 
0.1%
Other values (231) 231
 
25.6%
(Missing) 662
73.3%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
241 1
0.1%
240 1
0.1%
239 1
0.1%
238 1
0.1%
237 1
0.1%
236 1
0.1%
235 1
0.1%
234 1
0.1%
233 1
0.1%
232 1
0.1%

서비스제공자 등록일자(REG_CERT_DT).1
Text

MISSING 

Distinct56
Distinct (%)23.2%
Missing662
Missing (%)73.3%
Memory size7.2 KiB
2023-12-12T21:24:43.876688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters1687
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)22.8%

Sample

1st row00:00.0
2nd row00:00.0
3rd row00:00.0
4th row00:00.0
5th row00:00.0
ValueCountFrequency (%)
00:00.0 186
77.2%
07:06.0 1
 
0.4%
18:27.0 1
 
0.4%
04:29.0 1
 
0.4%
01:39.0 1
 
0.4%
21:14.0 1
 
0.4%
02:13.0 1
 
0.4%
04:24.0 1
 
0.4%
49:24.0 1
 
0.4%
37:52.0 1
 
0.4%
Other values (46) 46
 
19.1%
2023-12-12T21:24:44.262628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1014
60.1%
: 241
 
14.3%
. 241
 
14.3%
1 34
 
2.0%
4 31
 
1.8%
3 28
 
1.7%
5 25
 
1.5%
2 23
 
1.4%
6 17
 
1.0%
9 16
 
0.9%
Other values (2) 17
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1205
71.4%
Other Punctuation 482
 
28.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1014
84.1%
1 34
 
2.8%
4 31
 
2.6%
3 28
 
2.3%
5 25
 
2.1%
2 23
 
1.9%
6 17
 
1.4%
9 16
 
1.3%
8 9
 
0.7%
7 8
 
0.7%
Other Punctuation
ValueCountFrequency (%)
: 241
50.0%
. 241
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1687
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1014
60.1%
: 241
 
14.3%
. 241
 
14.3%
1 34
 
2.0%
4 31
 
1.8%
3 28
 
1.7%
5 25
 
1.5%
2 23
 
1.4%
6 17
 
1.0%
9 16
 
0.9%
Other values (2) 17
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1687
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1014
60.1%
: 241
 
14.3%
. 241
 
14.3%
1 34
 
2.0%
4 31
 
1.8%
3 28
 
1.7%
5 25
 
1.5%
2 23
 
1.4%
6 17
 
1.0%
9 16
 
0.9%
Other values (2) 17
 
1.0%

지역코드 (K021)(AREA_CD)
Categorical

Distinct18
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
568 
경기
 
48
경북
 
48
강원
 
48
전남
 
41
Other values (13)
150 

Length

Max length4
Median length4
Mean length3.2580288
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경북
2nd row전북
3rd row강원
4th row경북
5th row전남

Common Values

ValueCountFrequency (%)
<NA> 568
62.9%
경기 48
 
5.3%
경북 48
 
5.3%
강원 48
 
5.3%
전남 41
 
4.5%
충북 26
 
2.9%
충남 21
 
2.3%
전북 19
 
2.1%
경남 18
 
2.0%
서울 16
 
1.8%
Other values (8) 50
 
5.5%

Length

2023-12-12T21:24:44.451343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 568
62.9%
경기 48
 
5.3%
경북 48
 
5.3%
강원 48
 
5.3%
전남 41
 
4.5%
충북 26
 
2.9%
충남 21
 
2.3%
전북 19
 
2.1%
경남 18
 
2.0%
서울 16
 
1.8%
Other values (8) 50
 
5.5%

우편번호(ZIP_NO).1
Real number (ℝ)

MISSING 

Distinct217
Distinct (%)90.0%
Missing662
Missing (%)73.3%
Infinite0
Infinite (%)0.0%
Mean36687.846
Minimum11001
Maximum63622
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2023-12-12T21:24:44.650988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11001
5-th percentile12415
Q125443
median34206
Q353003
95-th percentile59450
Maximum63622
Range52621
Interquartile range (IQR)27560

Descriptive statistics

Standard deviation15559.232
Coefficient of variation (CV)0.42409771
Kurtosis-1.1242321
Mean36687.846
Median Absolute Deviation (MAD)9742
Skewness0.14628988
Sum8841771
Variance2.4208969 × 108
MonotonicityNot monotonic
2023-12-12T21:24:44.849578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12547 3
 
0.3%
27452 3
 
0.3%
12448 3
 
0.3%
38368 3
 
0.3%
25261 3
 
0.3%
42991 2
 
0.2%
11498 2
 
0.2%
26242 2
 
0.2%
27912 2
 
0.2%
36736 2
 
0.2%
Other values (207) 216
 
23.9%
(Missing) 662
73.3%
ValueCountFrequency (%)
11001 1
0.1%
11103 1
0.1%
11123 1
0.1%
11163 1
0.1%
11486 1
0.1%
11498 2
0.2%
11518 1
0.1%
12025 1
0.1%
12100 1
0.1%
12400 1
0.1%
ValueCountFrequency (%)
63622 1
0.1%
63577 1
0.1%
63576 1
0.1%
63554 1
0.1%
63345 1
0.1%
63313 1
0.1%
63005 1
0.1%
59777 1
0.1%
59623 1
0.1%
59521 1
0.1%

주소(ADDR).1
Text

MISSING 

Distinct300
Distinct (%)89.6%
Missing568
Missing (%)62.9%
Memory size7.2 KiB
2023-12-12T21:24:45.362410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length25
Mean length12.910448
Min length7

Characters and Unicode

Total characters4325
Distinct characters227
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique269 ?
Unique (%)80.3%

Sample

1st row경상북도 청도군 운문면 운문로 763
2nd row전라북도 진안군 정천면 휴양림길 77
3rd row강원도 횡성군 둔내면 청태산로 777
4th row경상북도 예천군 보문면 휴양림길 210
5th row전라남도 화순군 이서면 안양산로 685
ValueCountFrequency (%)
강원도 48
 
4.5%
경기도 48
 
4.5%
경상북도 48
 
4.5%
전라남도 41
 
3.8%
충청북도 26
 
2.4%
충청남도 21
 
2.0%
전라북도 19
 
1.8%
경상남도 18
 
1.7%
서울특별시 16
 
1.5%
대전광역시 10
 
0.9%
Other values (492) 770
72.3%
2023-12-12T21:24:46.112984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
730
 
16.9%
도 287
 
6.6%
시 192
 
4.4%
면 178
 
4.1%
군 156
 
3.6%
북 122
 
2.8%
경 122
 
2.8%
남 112
 
2.6%
산 81
 
1.9%
로 81
 
1.9%
Other values (217) 2264
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3442
79.6%
Space Separator 730
 
16.9%
Decimal Number 148
 
3.4%
Dash Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 287
 
8.3%
시 192
 
5.6%
면 178
 
5.2%
군 156
 
4.5%
북 122
 
3.5%
경 122
 
3.5%
남 112
 
3.3%
산 81
 
2.4%
로 81
 
2.4%
구 78
 
2.3%
Other values (205) 2033
59.1%
Decimal Number
ValueCountFrequency (%)
1 26
17.6%
2 21
14.2%
3 21
14.2%
7 15
10.1%
5 13
8.8%
6 12
8.1%
8 12
8.1%
9 10
 
6.8%
0 10
 
6.8%
4 8
 
5.4%
Space Separator
ValueCountFrequency (%)
730
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3442
79.6%
Common 883
 
20.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 287
 
8.3%
시 192
 
5.6%
면 178
 
5.2%
군 156
 
4.5%
북 122
 
3.5%
경 122
 
3.5%
남 112
 
3.3%
산 81
 
2.4%
로 81
 
2.4%
구 78
 
2.3%
Other values (205) 2033
59.1%
Common
ValueCountFrequency (%)
730
82.7%
1 26
 
2.9%
2 21
 
2.4%
3 21
 
2.4%
7 15
 
1.7%
5 13
 
1.5%
6 12
 
1.4%
8 12
 
1.4%
9 10
 
1.1%
0 10
 
1.1%
Other values (2) 13
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3442
79.6%
ASCII 883
 
20.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
730
82.7%
1 26
 
2.9%
2 21
 
2.4%
3 21
 
2.4%
7 15
 
1.7%
5 13
 
1.5%
6 12
 
1.4%
8 12
 
1.4%
9 10
 
1.1%
0 10
 
1.1%
Other values (2) 13
 
1.5%
Hangul
ValueCountFrequency (%)
도 287
 
8.3%
시 192
 
5.6%
면 178
 
5.2%
군 156
 
4.5%
북 122
 
3.5%
경 122
 
3.5%
남 112
 
3.3%
산 81
 
2.4%
로 81
 
2.4%
구 78
 
2.3%
Other values (205) 2033
59.1%

상세주소(DETAIL_ADDR).1
Text

MISSING 

Distinct328
Distinct (%)97.9%
Missing568
Missing (%)62.9%
Memory size7.2 KiB
2023-12-12T21:24:46.552511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length11.683582
Min length1

Characters and Unicode

Total characters3914
Distinct characters308
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique321 ?
Unique (%)95.8%

Sample

1st row국립운문산자연휴양림
2nd row국립운장산자연휴양림
3rd row국립횡성숲체원
4th row학가산우래자연휴양림
5th row산57-1
ValueCountFrequency (%)
2층 9
 
1.2%
3층 6
 
0.8%
휴양림길 5
 
0.7%
7 5
 
0.7%
12 3
 
0.4%
180 3
 
0.4%
우성1길 3
 
0.4%
수목원로 3
 
0.4%
153 3
 
0.4%
191 3
 
0.4%
Other values (660) 713
94.3%
2023-12-12T21:24:47.124955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
445
 
11.4%
1 263
 
6.7%
2 172
 
4.4%
길 161
 
4.1%
3 142
 
3.6%
0 111
 
2.8%
5 110
 
2.8%
로 108
 
2.8%
산 108
 
2.8%
7 105
 
2.7%
Other values (298) 2189
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2097
53.6%
Decimal Number 1254
32.0%
Space Separator 445
 
11.4%
Dash Punctuation 92
 
2.4%
Open Punctuation 9
 
0.2%
Close Punctuation 9
 
0.2%
Uppercase Letter 5
 
0.1%
Other Punctuation 2
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
길 161
 
7.7%
로 108
 
5.2%
산 108
 
5.2%
양 98
 
4.7%
림 97
 
4.6%
휴 89
 
4.2%
연 81
 
3.9%
자 81
 
3.9%
원 47
 
2.2%
동 35
 
1.7%
Other values (279) 1192
56.8%
Decimal Number
ValueCountFrequency (%)
1 263
21.0%
2 172
13.7%
3 142
11.3%
0 111
8.9%
5 110
8.8%
7 105
 
8.4%
4 101
 
8.1%
6 96
 
7.7%
8 87
 
6.9%
9 67
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
B 3
60.0%
A 2
40.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
445
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2097
53.6%
Common 1812
46.3%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
길 161
 
7.7%
로 108
 
5.2%
산 108
 
5.2%
양 98
 
4.7%
림 97
 
4.6%
휴 89
 
4.2%
연 81
 
3.9%
자 81
 
3.9%
원 47
 
2.2%
동 35
 
1.7%
Other values (279) 1192
56.8%
Common
ValueCountFrequency (%)
445
24.6%
1 263
14.5%
2 172
 
9.5%
3 142
 
7.8%
0 111
 
6.1%
5 110
 
6.1%
7 105
 
5.8%
4 101
 
5.6%
6 96
 
5.3%
- 92
 
5.1%
Other values (7) 175
 
9.7%
Latin
ValueCountFrequency (%)
B 3
60.0%
A 2
40.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2097
53.6%
ASCII 1817
46.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
445
24.5%
1 263
14.5%
2 172
 
9.5%
3 142
 
7.8%
0 111
 
6.1%
5 110
 
6.1%
7 105
 
5.8%
4 101
 
5.6%
6 96
 
5.3%
- 92
 
5.1%
Other values (9) 180
9.9%
Hangul
ValueCountFrequency (%)
길 161
 
7.7%
로 108
 
5.2%
산 108
 
5.2%
양 98
 
4.7%
림 97
 
4.6%
휴 89
 
4.2%
연 81
 
3.9%
자 81
 
3.9%
원 47
 
2.2%
동 35
 
1.7%
Other values (279) 1192
56.8%

시설전화번호1(AREA_TEL_NO).1
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)5.4%
Missing568
Missing (%)62.9%
Infinite0
Infinite (%)0.0%
Mean35.597015
Minimum2
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2023-12-12T21:24:47.291244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile10
Q110
median33
Q354
95-th percentile63
Maximum70
Range68
Interquartile range (IQR)44

Descriptive statistics

Standard deviation20.179627
Coefficient of variation (CV)0.566891
Kurtosis-1.4041501
Mean35.597015
Median Absolute Deviation (MAD)22
Skewness-0.15945064
Sum11925
Variance407.21736
MonotonicityNot monotonic
2023-12-12T21:24:47.442819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
10 94
 
10.4%
33 40
 
4.4%
54 35
 
3.9%
61 35
 
3.9%
31 26
 
2.9%
43 23
 
2.5%
41 17
 
1.9%
63 16
 
1.8%
55 14
 
1.6%
2 9
 
1.0%
Other values (8) 26
 
2.9%
(Missing) 568
62.9%
ValueCountFrequency (%)
2 9
 
1.0%
10 94
10.4%
31 26
 
2.9%
32 3
 
0.3%
33 40
4.4%
41 17
 
1.9%
42 3
 
0.3%
43 23
 
2.5%
44 2
 
0.2%
51 1
 
0.1%
ValueCountFrequency (%)
70 1
 
0.1%
64 7
 
0.8%
63 16
1.8%
61 35
3.9%
55 14
 
1.6%
54 35
3.9%
53 5
 
0.6%
52 4
 
0.4%
51 1
 
0.1%
44 2
 
0.2%

시설팩스번호1(AREA_FAX_NO).1
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)7.5%
Missing662
Missing (%)73.3%
Infinite0
Infinite (%)0.0%
Mean45.755187
Minimum2
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2023-12-12T21:24:47.608127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile31
Q133
median43
Q355
95-th percentile63
Maximum70
Range68
Interquartile range (IQR)22

Descriptive statistics

Standard deviation14.003356
Coefficient of variation (CV)0.30604959
Kurtosis0.61226738
Mean45.755187
Median Absolute Deviation (MAD)11
Skewness-0.73043563
Sum11027
Variance196.09398
MonotonicityNot monotonic
2023-12-12T21:24:47.755628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
33 41
 
4.5%
61 35
 
3.9%
54 34
 
3.8%
31 28
 
3.1%
43 23
 
2.5%
41 17
 
1.9%
63 16
 
1.8%
55 14
 
1.6%
2 7
 
0.8%
64 6
 
0.7%
Other values (8) 20
 
2.2%
(Missing) 662
73.3%
ValueCountFrequency (%)
2 7
 
0.8%
31 28
3.1%
32 3
 
0.3%
33 41
4.5%
41 17
1.9%
42 3
 
0.3%
43 23
2.5%
44 1
 
0.1%
51 2
 
0.2%
52 4
 
0.4%
ValueCountFrequency (%)
70 1
 
0.1%
64 6
 
0.7%
63 16
1.8%
62 1
 
0.1%
61 35
3.9%
55 14
 
1.6%
54 34
3.8%
53 5
 
0.6%
52 4
 
0.4%
51 2
 
0.2%

시설팩스번호2(MID_FAX_NO).1
Real number (ℝ)

MISSING  ZEROS 

Distinct161
Distinct (%)66.8%
Missing662
Missing (%)73.3%
Infinite0
Infinite (%)0.0%
Mean718.41079
Minimum0
Maximum8079
Zeros12
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2023-12-12T21:24:47.951720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile201
Q1363
median580
Q3782
95-th percentile963
Maximum8079
Range8079
Interquartile range (IQR)419

Descriptive statistics

Standard deviation1054.0899
Coefficient of variation (CV)1.4672523
Kurtosis38.325351
Mean718.41079
Median Absolute Deviation (MAD)210
Skewness6.0339538
Sum173137
Variance1111105.4
MonotonicityNot monotonic
2023-12-12T21:24:48.137744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12
 
1.3%
450 5
 
0.6%
282 5
 
0.6%
851 5
 
0.6%
930 4
 
0.4%
840 3
 
0.3%
960 3
 
0.3%
540 3
 
0.3%
370 3
 
0.3%
8008 3
 
0.3%
Other values (151) 195
 
21.6%
(Missing) 662
73.3%
ValueCountFrequency (%)
0 12
1.3%
201 1
 
0.1%
218 1
 
0.1%
220 1
 
0.1%
222 1
 
0.1%
229 1
 
0.1%
231 1
 
0.1%
235 1
 
0.1%
240 2
 
0.2%
243 1
 
0.1%
ValueCountFrequency (%)
8079 1
 
0.1%
8008 3
0.3%
5189 1
 
0.1%
4170 1
 
0.1%
979 3
0.3%
977 1
 
0.1%
971 1
 
0.1%
970 1
 
0.1%
963 1
 
0.1%
960 3
0.3%

시설팩스번호3(END_FAX_NO).1
Real number (ℝ)

MISSING  ZEROS 

Distinct205
Distinct (%)85.1%
Missing662
Missing (%)73.3%
Infinite0
Infinite (%)0.0%
Mean4737.361
Minimum0
Maximum9984
Zeros12
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2023-12-12T21:24:48.333464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile57
Q12529
median4679
Q36779
95-th percentile9468
Maximum9984
Range9984
Interquartile range (IQR)4250

Descriptive statistics

Standard deviation2857.2574
Coefficient of variation (CV)0.60313271
Kurtosis-1.0417786
Mean4737.361
Median Absolute Deviation (MAD)2126
Skewness0.10012686
Sum1141704
Variance8163919.6
MonotonicityNot monotonic
2023-12-12T21:24:48.508880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12
 
1.3%
5128 4
 
0.4%
6519 4
 
0.4%
9468 3
 
0.3%
7588 3
 
0.3%
5718 3
 
0.3%
6401 2
 
0.2%
2899 2
 
0.2%
9453 2
 
0.2%
7979 2
 
0.2%
Other values (195) 204
 
22.6%
(Missing) 662
73.3%
ValueCountFrequency (%)
0 12
1.3%
57 1
 
0.1%
74 1
 
0.1%
114 1
 
0.1%
121 1
 
0.1%
145 1
 
0.1%
173 1
 
0.1%
264 1
 
0.1%
545 1
 
0.1%
549 1
 
0.1%
ValueCountFrequency (%)
9984 1
 
0.1%
9978 1
 
0.1%
9972 1
 
0.1%
9903 1
 
0.1%
9829 2
0.2%
9768 1
 
0.1%
9751 1
 
0.1%
9747 1
 
0.1%
9544 1
 
0.1%
9468 3
0.3%

시설기준(FACILITY_STND).1
Text

MISSING 

Distinct179
Distinct (%)74.6%
Missing663
Missing (%)73.4%
Memory size7.2 KiB
2023-12-12T21:24:48.870504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length442
Median length157
Mean length70.566667
Min length1

Characters and Unicode

Total characters16936
Distinct characters412
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique169 ?
Unique (%)70.4%

Sample

1st row숙박시설(연립동 4동, 숲속의 집 5동, 산림문화휴양관 2동, 숲속수련장 1동, 야영장 야영데크), 편익시설(주차장, 방문자안내소), 위생시설(야외화장실, 야외취사장, 오수정화시설), 체험교육시설(산책로, 회의실, 목공예체험장, 야생식물관찰원), 체육시설(잔디광장, 족구장), 안전시설(사방댐, 화재경보기) 등
2nd row숙박시설(연립동 1동, 숲속수련장 1동, 숲속의 집 10동, 산림문화휴양관 1동), 편익시설(주차장), 위생시설(실외화장실, 오수정화시설), 체험교육시설(산책로, 체험장), 체육시설(다목적잔디구장), 전기·통신시설(휴대전화중계기, 변전설비) 안전시설(소화기, 화재경보기, CCTV, 방송시설)
3rd row1. 일반기준 : 임야 159,710㎡ 2. 기본시설 가. 강의실(대강당, 중강당, 대배움방, 중배움방), 나. 실내실습장(체험방), 다. 도서실, 라. 안내실, 사무실, 마. 화장실, 냉난방시설 3. 지원시설 : 세미나실, 숙박시설, 양호실
4th row숙박시설 : 산림휴양관 1동 산장 19동 편의시설 : 양영장, 산책로, 등산로 등 위생시설 : 취사장, 화장실 등 체험교육시설 : 세미나실, 산림욕장 등 체육시설 : 족구장, 운동장, 물놀이장 등 전기통신시설 : 전기, 전화, 인터넷, 방송음향시설 등 안전시설 : cctv, 재해예방, 사방댐 등
5th row1. 숙박시설 : 산림문화휴양관, B산막, 천사의집, 백조의성 등 2. 편익시설 : 전망대, 주차장, 일반음식점, 대강당, 소강당 등 3. 위생시설 : 화장실 4. 체험·교육시설 : 산책로, 등산로, 잔디운동장, 족구장 등 5. 체육시설 : 어린이놀이터, 물놀이터 6. 전기·통신시설 : 전기배분함, 앰프시설 7. 안전시설 : 경보기, 소화장비, 누전차단기, 대피소
ValueCountFrequency (%)
174
 
5.9%
등 132
 
4.5%
숙박시설 53
 
1.8%
위생시설 53
 
1.8%
체육시설 47
 
1.6%
주차장 46
 
1.6%
안전시설 44
 
1.5%
1동 44
 
1.5%
1 44
 
1.5%
체험교육시설 41
 
1.4%
Other values (930) 2274
77.0%
2023-12-12T21:24:49.454856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3001
 
17.7%
, 1392
 
8.2%
시 845
 
5.0%
설 828
 
4.9%
장 432
 
2.6%
) 379
 
2.2%
( 376
 
2.2%
실 326
 
1.9%
체 271
 
1.6%
. 225
 
1.3%
Other values (402) 8861
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10378
61.3%
Space Separator 3001
 
17.7%
Other Punctuation 1800
 
10.6%
Decimal Number 779
 
4.6%
Close Punctuation 382
 
2.3%
Open Punctuation 379
 
2.2%
Uppercase Letter 101
 
0.6%
Lowercase Letter 50
 
0.3%
Dash Punctuation 40
 
0.2%
Other Symbol 23
 
0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 845
 
8.1%
설 828
 
8.0%
장 432
 
4.2%
실 326
 
3.1%
체 271
 
2.6%
전 213
 
2.1%
육 209
 
2.0%
화 209
 
2.0%
동 204
 
2.0%
등 169
 
1.6%
Other values (363) 6672
64.3%
Decimal Number
ValueCountFrequency (%)
1 213
27.3%
2 125
16.0%
3 89
11.4%
0 76
 
9.8%
4 70
 
9.0%
6 58
 
7.4%
5 56
 
7.2%
8 34
 
4.4%
7 33
 
4.2%
9 25
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
m 10
20.0%
a 9
18.0%
h 9
18.0%
c 9
18.0%
k 5
10.0%
t 4
 
8.0%
v 3
 
6.0%
p 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 1392
77.3%
. 225
 
12.5%
: 139
 
7.7%
· 15
 
0.8%
/ 14
 
0.8%
？ 12
 
0.7%
% 3
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
C 50
49.5%
T 25
24.8%
V 25
24.8%
B 1
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 379
99.2%
] 3
 
0.8%
Open Punctuation
ValueCountFrequency (%)
( 376
99.2%
[ 3
 
0.8%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
3001
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 23
100.0%
Other Number
ValueCountFrequency (%)
² 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10378
61.3%
Common 6407
37.8%
Latin 151
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 845
 
8.1%
설 828
 
8.0%
장 432
 
4.2%
실 326
 
3.1%
체 271
 
2.6%
전 213
 
2.1%
육 209
 
2.0%
화 209
 
2.0%
동 204
 
2.0%
등 169
 
1.6%
Other values (363) 6672
64.3%
Common
ValueCountFrequency (%)
3001
46.8%
, 1392
21.7%
) 379
 
5.9%
( 376
 
5.9%
. 225
 
3.5%
1 213
 
3.3%
: 139
 
2.2%
2 125
 
2.0%
3 89
 
1.4%
0 76
 
1.2%
Other values (17) 392
 
6.1%
Latin
ValueCountFrequency (%)
C 50
33.1%
T 25
16.6%
V 25
16.6%
m 10
 
6.6%
a 9
 
6.0%
h 9
 
6.0%
c 9
 
6.0%
k 5
 
3.3%
t 4
 
2.6%
v 3
 
2.0%
Other values (2) 2
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10378
61.3%
ASCII 6507
38.4%
None 28
 
0.2%
CJK Compat 23
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3001
46.1%
, 1392
21.4%
) 379
 
5.8%
( 376
 
5.8%
. 225
 
3.5%
1 213
 
3.3%
: 139
 
2.1%
2 125
 
1.9%
3 89
 
1.4%
0 76
 
1.2%
Other values (25) 492
 
7.6%
Hangul
ValueCountFrequency (%)
시 845
 
8.1%
설 828
 
8.0%
장 432
 
4.2%
실 326
 
3.1%
체 271
 
2.6%
전 213
 
2.1%
육 209
 
2.0%
화 209
 
2.0%
동 204
 
2.0%
등 169
 
1.6%
Other values (363) 6672
64.3%
CJK Compat
ValueCountFrequency (%)
㎡ 23
100.0%
None
ValueCountFrequency (%)
· 15
53.6%
？ 12
42.9%
² 1
 
3.6%

인력기준(WORKER_STND).1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing903
Missing (%)100.0%
Memory size8.1 KiB

인력기준_산림치유지도사 1급(PRO_FORE_HEAL_LV1).3
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
563 
0
325 
1
 
13
2
 
2

Length

Max length4
Median length4
Mean length2.8704319
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 563
62.3%
0 325
36.0%
1 13
 
1.4%
2 2
 
0.2%

Length

2023-12-12T21:24:49.642668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:24:49.776150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 563
62.3%
0 325
36.0%
1 13
 
1.4%
2 2
 
0.2%

인력기준_산림치유지도사 2급(PRO_FORE_HEAL_LV2).3
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)1.8%
Missing563
Missing (%)62.3%
Infinite0
Infinite (%)0.0%
Mean0.11764706
Minimum0
Maximum8
Zeros324
Zeros (%)35.9%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2023-12-12T21:24:49.881917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.63639406
Coefficient of variation (CV)5.4093495
Kurtosis77.460731
Mean0.11764706
Median Absolute Deviation (MAD)0
Skewness7.7710779
Sum40
Variance0.4049974
MonotonicityNot monotonic
2023-12-12T21:24:50.024914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 324
35.9%
2 8
 
0.9%
3 3
 
0.3%
1 3
 
0.3%
8 1
 
0.1%
4 1
 
0.1%
(Missing) 563
62.3%
ValueCountFrequency (%)
0 324
35.9%
1 3
 
0.3%
2 8
 
0.9%
3 3
 
0.3%
4 1
 
0.1%
8 1
 
0.1%
ValueCountFrequency (%)
8 1
 
0.1%
4 1
 
0.1%
3 3
 
0.3%
2 8
 
0.9%
1 3
 
0.3%
0 324
35.9%

인력기준_숲해설가(PRO_FORE_EXPL).3
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)2.4%
Missing563
Missing (%)62.3%
Infinite0
Infinite (%)0.0%
Mean0.88529412
Minimum0
Maximum8
Zeros218
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2023-12-12T21:24:50.166427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile3.05
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.3979826
Coefficient of variation (CV)1.5791166
Kurtosis4.6573193
Mean0.88529412
Median Absolute Deviation (MAD)0
Skewness1.9131099
Sum301
Variance1.9543554
MonotonicityNot monotonic
2023-12-12T21:24:50.318752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 218
 
24.1%
2 85
 
9.4%
3 12
 
1.3%
1 8
 
0.9%
4 7
 
0.8%
5 5
 
0.6%
6 3
 
0.3%
8 2
 
0.2%
(Missing) 563
62.3%
ValueCountFrequency (%)
0 218
24.1%
1 8
 
0.9%
2 85
 
9.4%
3 12
 
1.3%
4 7
 
0.8%
5 5
 
0.6%
6 3
 
0.3%
8 2
 
0.2%
ValueCountFrequency (%)
8 2
 
0.2%
6 3
 
0.3%
5 5
 
0.6%
4 7
 
0.8%
3 12
 
1.3%
2 85
 
9.4%
1 8
 
0.9%
0 218
24.1%

인력기준_유아숲지도사(PRO_CHILD_FORE).3
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
563 
0
316 
1
 
11
2
 
10
4
 
2

Length

Max length4
Median length4
Mean length2.8704319
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 563
62.3%
0 316
35.0%
1 11
 
1.2%
2 10
 
1.1%
4 2
 
0.2%
3 1
 
0.1%

Length

2023-12-12T21:24:50.474995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:24:50.606043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 563
62.3%
0 316
35.0%
1 11
 
1.2%
2 10
 
1.1%
4 2
 
0.2%
3 1
 
0.1%

인력기준_숲길체험지도사(PRO_FORE_ROAD_EXP).3
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
563 
0
330 
1
 
9
2
 
1

Length

Max length4
Median length4
Mean length2.8704319
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 563
62.3%
0 330
36.5%
1 9
 
1.0%
2 1
 
0.1%

Length

2023-12-12T21:24:50.742809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:24:50.858320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 563
62.3%
0 330
36.5%
1 9
 
1.0%
2 1
 
0.1%

인력기준_상근관리자(PRO_EMP_MNGR).3
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)2.4%
Missing563
Missing (%)62.3%
Infinite0
Infinite (%)0.0%
Mean0.2
Minimum0
Maximum12
Zeros314
Zeros (%)34.8%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2023-12-12T21:24:50.961703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.99911465
Coefficient of variation (CV)4.9955733
Kurtosis70.558987
Mean0.2
Median Absolute Deviation (MAD)0
Skewness7.6053317
Sum68
Variance0.99823009
MonotonicityNot monotonic
2023-12-12T21:24:51.098599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 314
34.8%
1 14
 
1.6%
2 4
 
0.4%
5 3
 
0.3%
3 2
 
0.2%
12 1
 
0.1%
6 1
 
0.1%
7 1
 
0.1%
(Missing) 563
62.3%
ValueCountFrequency (%)
0 314
34.8%
1 14
 
1.6%
2 4
 
0.4%
3 2
 
0.2%
5 3
 
0.3%
6 1
 
0.1%
7 1
 
0.1%
12 1
 
0.1%
ValueCountFrequency (%)
12 1
 
0.1%
7 1
 
0.1%
6 1
 
0.1%
5 3
 
0.3%
3 2
 
0.2%
2 4
 
0.4%
1 14
 
1.6%
0 314
34.8%

제공실적(OFFER_RECORD)
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
570 
0
333 

Length

Max length4
Median length4
Mean length2.8936877
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 570
63.1%
0 333
36.9%

Length

2023-12-12T21:24:51.246006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:24:51.370395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 570
63.1%
0 333
36.9%

등록일자(INPUT_DT).5
Text

MISSING 

Distinct233
Distinct (%)68.5%
Missing563
Missing (%)62.3%
Memory size7.2 KiB
2023-12-12T21:24:51.735075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters2380
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique223 ?
Unique (%)65.6%

Sample

1st row42:14.0
2nd row48:30.0
3rd row52:11.0
4th row23:00.0
5th row07:18.0
ValueCountFrequency (%)
00:00.0 99
29.1%
56:36.0 2
 
0.6%
42:25.0 2
 
0.6%
25:27.0 2
 
0.6%
51:44.0 2
 
0.6%
35:19.0 2
 
0.6%
19:35.0 2
 
0.6%
49:45.0 2
 
0.6%
16:34.0 2
 
0.6%
56:46.0 2
 
0.6%
Other values (223) 223
65.6%
2023-12-12T21:24:52.270776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 851
35.8%
: 340
 
14.3%
. 340
 
14.3%
4 140
 
5.9%
5 129
 
5.4%
1 129
 
5.4%
3 127
 
5.3%
2 125
 
5.3%
9 55
 
2.3%
6 54
 
2.3%
Other values (2) 90
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1700
71.4%
Other Punctuation 680
 
28.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 851
50.1%
4 140
 
8.2%
5 129
 
7.6%
1 129
 
7.6%
3 127
 
7.5%
2 125
 
7.4%
9 55
 
3.2%
6 54
 
3.2%
8 51
 
3.0%
7 39
 
2.3%
Other Punctuation
ValueCountFrequency (%)
: 340
50.0%
. 340
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2380
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 851
35.8%
: 340
 
14.3%
. 340
 
14.3%
4 140
 
5.9%
5 129
 
5.4%
1 129
 
5.4%
3 127
 
5.3%
2 125
 
5.3%
9 55
 
2.3%
6 54
 
2.3%
Other values (2) 90
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2380
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 851
35.8%
: 340
 
14.3%
. 340
 
14.3%
4 140
 
5.9%
5 129
 
5.4%
1 129
 
5.4%
3 127
 
5.3%
2 125
 
5.3%
9 55
 
2.3%
6 54
 
2.3%
Other values (2) 90
 
3.8%

수정일자(UPDATE_DT).5
Text

MISSING 

Distinct200
Distinct (%)66.2%
Missing601
Missing (%)66.6%
Memory size7.2 KiB
2023-12-12T21:24:52.741906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters2114
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique187 ?
Unique (%)61.9%

Sample

1st row25:08.0
2nd row02:28.0
3rd row02:38.0
4th row38:06.0
5th row22:04.0
ValueCountFrequency (%)
29:47.0 32
 
10.6%
29:46.0 32
 
10.6%
29:48.0 20
 
6.6%
29:45.0 8
 
2.6%
00:00.0 5
 
1.7%
25:08.0 3
 
1.0%
37:42.0 3
 
1.0%
53:40.0 2
 
0.7%
29:13.0 2
 
0.7%
44:12.0 2
 
0.7%
Other values (190) 193
63.9%
2023-12-12T21:24:53.354787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 447
21.1%
: 302
14.3%
. 302
14.3%
2 220
10.4%
4 202
9.6%
9 136
 
6.4%
3 121
 
5.7%
5 107
 
5.1%
1 79
 
3.7%
7 75
 
3.5%
Other values (2) 123
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1510
71.4%
Other Punctuation 604
 
28.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 447
29.6%
2 220
14.6%
4 202
13.4%
9 136
 
9.0%
3 121
 
8.0%
5 107
 
7.1%
1 79
 
5.2%
7 75
 
5.0%
6 70
 
4.6%
8 53
 
3.5%
Other Punctuation
ValueCountFrequency (%)
: 302
50.0%
. 302
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2114
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 447
21.1%
: 302
14.3%
. 302
14.3%
2 220
10.4%
4 202
9.6%
9 136
 
6.4%
3 121
 
5.7%
5 107
 
5.1%
1 79
 
3.7%
7 75
 
3.5%
Other values (2) 123
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2114
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 447
21.1%
: 302
14.3%
. 302
14.3%
2 220
10.4%
4 202
9.6%
9 136
 
6.4%
3 121
 
5.7%
5 107
 
5.1%
1 79
 
3.7%
7 75
 
3.5%
Other values (2) 123
 
5.8%

등록취소 여부(DEL_YN)
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.3%
Missing563
Missing (%)62.3%
Memory size1.9 KiB
False
340 
(Missing)
563 
ValueCountFrequency (%)
False 340
37.7%
(Missing) 563
62.3%
2023-12-12T21:24:53.487990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

이용희망시설 노출 여부(USE_FACILITY_YN)
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.6%
Missing563
Missing (%)62.3%
Memory size1.9 KiB
False
322 
True
 
18
(Missing)
563 
ValueCountFrequency (%)
False 322
35.7%
True 18
 
2.0%
(Missing) 563
62.3%
2023-12-12T21:24:53.589270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

페이지 공개여부(VIEW_YN)
Boolean

MISSING 

Distinct2
Distinct (%)0.6%
Missing563
Missing (%)62.3%
Memory size1.9 KiB
True
242 
False
98 
(Missing)
563 
ValueCountFrequency (%)
True 242
26.8%
False 98
 
10.9%
(Missing) 563
62.3%
2023-12-12T21:24:53.713282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설코드(USE_FACILITY_CD).5
Real number (ℝ)

MISSING 

Distinct290
Distinct (%)100.0%
Missing613
Missing (%)67.9%
Infinite0
Infinite (%)0.0%
Mean211.5
Minimum14
Maximum397
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2023-12-12T21:24:53.863785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile28.45
Q1124.25
median204.5
Q3315.75
95-th percentile373.55
Maximum397
Range383
Interquartile range (IQR)191.5

Descriptive statistics

Standard deviation108.8895
Coefficient of variation (CV)0.51484395
Kurtosis-1.1781277
Mean211.5
Median Absolute Deviation (MAD)96
Skewness0.0054112346
Sum61335
Variance11856.922
MonotonicityNot monotonic
2023-12-12T21:24:54.467370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
309 1
 
0.1%
289 1
 
0.1%
288 1
 
0.1%
287 1
 
0.1%
256 1
 
0.1%
188 1
 
0.1%
382 1
 
0.1%
389 1
 
0.1%
397 1
 
0.1%
396 1
 
0.1%
Other values (280) 280
31.0%
(Missing) 613
67.9%
ValueCountFrequency (%)
14 1
0.1%
15 1
0.1%
16 1
0.1%
17 1
0.1%
18 1
0.1%
19 1
0.1%
20 1
0.1%
21 1
0.1%
22 1
0.1%
23 1
0.1%
ValueCountFrequency (%)
397 1
0.1%
396 1
0.1%
395 1
0.1%
394 1
0.1%
393 1
0.1%
391 1
0.1%
389 1
0.1%
382 1
0.1%
380 1
0.1%
379 1
0.1%

시설소개(FACILITY_INTRO)
Text

MISSING 

Distinct171
Distinct (%)100.0%
Missing732
Missing (%)81.1%
Memory size7.2 KiB
2023-12-12T21:24:54.874086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length550
Median length252
Mean length236.97076
Min length6

Characters and Unicode

Total characters40522
Distinct characters810
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique171 ?
Unique (%)100.0%

Sample

1st row산음자연휴양림은 경기도 양평군 단월면에 위치하고 있다. 2000년 1월 1일에 개장했으며, 총 면적은 2,140ha, 1일 최대 수용인원은 2,000명, 적정 수용인원은 1,500명이다. 산음은 '산그늘' 이라는 뜻으로 폭산, 봉미산, 소리산, 싸리봉 등의 준봉들에 사방으로 둘러싸여 항상 산그늘에 있다하여 붙여진 지명이다. 산음휴양림에는 임도 40km, 등산로 28km, 산책로 5km의 숲길이 잘 정돈되어 있다. 휴양림계곡을 따라 참나무류, 층층나무, 물푸레나무, 복자기나무, 소나무, 다래나무, 철쭉나무 등 다양한 수종의 원시혼효림과 낙엽송, 자작나무, 잣나무 등의 인공림이 산림생태계를 구성하고 있으며 숲에서 흐르는 맑은 물과 반딧불, 곤줄박이, 동고비, 박새, 직박구리, 까막딱다구리, 맷돼지, 고라니, 수달 등 다양한 야생동물이 자연과 더불어 살아가는 아름다운 모습을 보여주고 있다.
2nd row해발 약 900m 고지에 위치한 숲치유센터 지상2층, 지하1층의 약 250평 규모로 건강측정, 열치유, 물치유 등 다양한 프로그램 제공
3rd row양평군 옥천면에서 주말 드라이브 코스로 유명한 농다치고갯길 정상까지 올라가면 울창한 숲과 남한강이 조화롭게 배치되어 있어 눈이 시원하고 산안개가 끼는 아침이면 주위에 운무가 가득해 색다른 분위기가 난다. 이 정상에서 서쪽방면으로 1.4km 내려오면 휴양림 제1매표소가 있다. 휴양림 내에는 다양한 크기의 통나무집이 자연과 조화롭게 분산 배치되어 있고, 휴양림 중심부에 숲산책로가 설치되어 직접 산림을 체험할 수 있으며, 숲해설가들로부터 오감을 체험할 수 있는 유익한 숲해설을 들을 수 있고 또한 오리엔티어링프로그램을 운용하고 있습니다.
4th row해발 1,200m의 청태산을 주봉으로 하여 인공림과 천연림이 잘 조화된 울창한 산림을 바탕으로 한 국유림경영 시범단지로서 숲속에는 노루, 멧돼지, 토끼 등 각종 야생동물과 식물이 고루 서식하고 있어 자연박물관을 찾은 기분을 느낄 수 있다. 영동고속도로 신갈기점 강릉방향 127.5km(서울에서 162㎞) 지점에 위치하고 있어 여름철 동해안 피서객들이 잠시 쉬었다 가기 편리하고, 치악산, 오대산국립공원과 스키장(웰리힐리파크, 보광휘닉스파크) 등 인접 관광휴양지와 연계이용이 가능하고, 울창한 잣나무 숲속의 산림욕장은 한번 왔다간 사람은 누구나 매료되어 다시 찾는 곳이기도 하다.
5th row울창한 소나무숲과 맑은계곡, 바위가 어우러진 대관령기슭에 1988년 전국 최초로 조성된 자연휴양림이다. 휴양림내 50년 ~ 200년생 아름드리 소나무숲 중 일부는 1922년~1928년에 인공으로 소나무씨를 뿌려 조성한 숲으로 학술적 가치가 높은 산림이다. 특히 솔고개 너머에 있는 숲속수련장은 강의실과 숙박시설, 잔디광장, 체력단련시설, 숲속교실 등을 구비하여 청소년수련시설로 아주 좋은 여건을 갖추고 있다. 또한 자기학습식 숲체험로, 야생화정원, 황토초가집과 물레방아, 숯가마터 등은 색다른 볼거리로 가족단위의 자연학습과 산림문화체험장으로써 좋은 반응을 얻고 있다
ValueCountFrequency (%)
수 143
 
1.6%
있는 117
 
1.3%
있다 115
 
1.3%
등 88
 
1.0%
있으며 84
 
1.0%
있어 77
 
0.9%
있습니다 52
 
0.6%
다양한 52
 
0.6%
및 50
 
0.6%
46
 
0.5%
Other values (4933) 7858
90.5%
2023-12-12T21:24:55.417612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8984
 
22.2%
, 859
 
2.1%
이 760
 
1.9%
산 656
 
1.6%
다 606
 
1.5%
의 596
 
1.5%
에 560
 
1.4%
있 512
 
1.3%
는 470
 
1.2%
. 463
 
1.1%
Other values (800) 26056
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28532
70.4%
Space Separator 8984
 
22.2%
Other Punctuation 1412
 
3.5%
Decimal Number 1033
 
2.5%
Lowercase Letter 149
 
0.4%
Close Punctuation 137
 
0.3%
Open Punctuation 137
 
0.3%
Dash Punctuation 35
 
0.1%
Math Symbol 32
 
0.1%
Other Symbol 30
 
0.1%
Other values (4) 41
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 760
 
2.7%
산 656
 
2.3%
다 606
 
2.1%
의 596
 
2.1%
에 560
 
2.0%
있 512
 
1.8%
는 470
 
1.6%
로 457
 
1.6%
을 451
 
1.6%
고 440
 
1.5%
Other values (727) 23024
80.7%
Other Punctuation
ValueCountFrequency (%)
, 859
60.8%
. 463
32.8%
· 31
 
2.2%
: 27
 
1.9%
" 15
 
1.1%
' 9
 
0.6%
？ 2
 
0.1%
% 1
 
0.1%
/ 1
 
0.1%
# 1
 
0.1%
Other values (3) 3
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
M 5
20.0%
C 4
16.0%
I 3
12.0%
K 2
 
8.0%
D 2
 
8.0%
E 2
 
8.0%
N 1
 
4.0%
A 1
 
4.0%
F 1
 
4.0%
S 1
 
4.0%
Other values (3) 3
12.0%
Decimal Number
ValueCountFrequency (%)
0 225
21.8%
1 217
21.0%
2 130
12.6%
5 84
 
8.1%
3 70
 
6.8%
9 68
 
6.6%
8 63
 
6.1%
4 61
 
5.9%
7 58
 
5.6%
6 57
 
5.5%
Lowercase Letter
ValueCountFrequency (%)
m 86
57.7%
k 25
 
16.8%
a 13
 
8.7%
h 12
 
8.1%
r 4
 
2.7%
l 3
 
2.0%
i 2
 
1.3%
e 2
 
1.3%
c 1
 
0.7%
s 1
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 119
86.9%
] 9
 
6.6%
』 6
 
4.4%
」 2
 
1.5%
》 1
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 119
86.9%
[ 9
 
6.6%
『 6
 
4.4%
「 2
 
1.5%
《 1
 
0.7%
Math Symbol
ValueCountFrequency (%)
~ 20
62.5%
+ 6
 
18.8%
∼ 4
 
12.5%
↔ 1
 
3.1%
～ 1
 
3.1%
Other Symbol
ValueCountFrequency (%)
㎡ 18
60.0%
㎞ 6
 
20.0%
㏊ 3
 
10.0%
㎢ 2
 
6.7%
° 1
 
3.3%
Final Punctuation
ValueCountFrequency (%)
’ 4
50.0%
” 4
50.0%
Initial Punctuation
ValueCountFrequency (%)
“ 4
57.1%
‘ 3
42.9%
Space Separator
ValueCountFrequency (%)
8984
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28503
70.3%
Common 11816
29.2%
Latin 174
 
0.4%
Han 29
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 760
 
2.7%
산 656
 
2.3%
다 606
 
2.1%
의 596
 
2.1%
에 560
 
2.0%
있 512
 
1.8%
는 470
 
1.6%
로 457
 
1.6%
을 451
 
1.6%
고 440
 
1.5%
Other values (703) 22995
80.7%
Common
ValueCountFrequency (%)
8984
76.0%
, 859
 
7.3%
. 463
 
3.9%
0 225
 
1.9%
1 217
 
1.8%
2 130
 
1.1%
) 119
 
1.0%
( 119
 
1.0%
5 84
 
0.7%
3 70
 
0.6%
Other values (40) 546
 
4.6%
Han
ValueCountFrequency (%)
山 5
 
17.2%
名 2
 
6.9%
帝 1
 
3.4%
水 1
 
3.4%
尹 1
 
3.4%
淑 1
 
3.4%
古 1
 
3.4%
都 1
 
3.4%
文 1
 
3.4%
殊 1
 
3.4%
Other values (14) 14
48.3%
Latin
ValueCountFrequency (%)
m 86
49.4%
k 25
 
14.4%
a 13
 
7.5%
h 12
 
6.9%
M 5
 
2.9%
C 4
 
2.3%
r 4
 
2.3%
l 3
 
1.7%
I 3
 
1.7%
K 2
 
1.1%
Other values (13) 17
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28503
70.3%
ASCII 11887
29.3%
None 53
 
0.1%
CJK Compat 29
 
0.1%
CJK 29
 
0.1%
Punctuation 16
 
< 0.1%
Math Operators 4
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8984
75.6%
, 859
 
7.2%
. 463
 
3.9%
0 225
 
1.9%
1 217
 
1.8%
2 130
 
1.1%
) 119
 
1.0%
( 119
 
1.0%
m 86
 
0.7%
5 84
 
0.7%
Other values (42) 601
 
5.1%
Hangul
ValueCountFrequency (%)
이 760
 
2.7%
산 656
 
2.3%
다 606
 
2.1%
의 596
 
2.1%
에 560
 
2.0%
있 512
 
1.8%
는 470
 
1.6%
로 457
 
1.6%
을 451
 
1.6%
고 440
 
1.5%
Other values (703) 22995
80.7%
None
ValueCountFrequency (%)
· 31
58.5%
』 6
 
11.3%
『 6
 
11.3%
「 2
 
3.8%
？ 2
 
3.8%
」 2
 
3.8%
《 1
 
1.9%
》 1
 
1.9%
° 1
 
1.9%
～ 1
 
1.9%
CJK Compat
ValueCountFrequency (%)
㎡ 18
62.1%
㎞ 6
 
20.7%
㏊ 3
 
10.3%
㎢ 2
 
6.9%
CJK
ValueCountFrequency (%)
山 5
 
17.2%
名 2
 
6.9%
帝 1
 
3.4%
水 1
 
3.4%
尹 1
 
3.4%
淑 1
 
3.4%
古 1
 
3.4%
都 1
 
3.4%
文 1
 
3.4%
殊 1
 
3.4%
Other values (14) 14
48.3%
Punctuation
ValueCountFrequency (%)
’ 4
25.0%
“ 4
25.0%
” 4
25.0%
‘ 3
18.8%
※ 1
 
6.2%
Math Operators
ValueCountFrequency (%)
∼ 4
100.0%
Arrows
ValueCountFrequency (%)
↔ 1
100.0%

시설 홈페이지(URL)
Text

MISSING 

Distinct88
Distinct (%)58.7%
Missing753
Missing (%)83.4%
Memory size7.2 KiB
2023-12-12T21:24:55.707085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length30
Mean length19.6
Min length7

Characters and Unicode

Total characters2940
Distinct characters44
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique79 ?
Unique (%)52.7%

Sample

1st rowhuyang.forest.go.kr
2nd rowhoengseong.fowi.or.kr
3rd rowhuyang.forest.go.kr
4th rowhuyang.forest.go.kr
5th rowhuyang.forest.go.kr
ValueCountFrequency (%)
huyang.forest.go.kr 41
27.3%
www.foresttrip.go.kr 12
 
8.0%
www.fowi.or.kr 4
 
2.7%
healing.seogwipo.go.kr 3
 
2.0%
farm.gg.go.kr 3
 
2.0%
www.swijapark.com 2
 
1.3%
hoengseong.fowi.or.kr 2
 
1.3%
gmf.cjfmc.or.kr 2
 
1.3%
www.jangsuhuyang.kr 2
 
1.3%
dwhuyang.foresttrip.go.kr 1
 
0.7%
Other values (78) 78
52.0%
2023-12-12T21:24:56.155806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 426
14.5%
o 306
 
10.4%
r 277
 
9.4%
g 232
 
7.9%
w 185
 
6.3%
n 154
 
5.2%
k 149
 
5.1%
e 134
 
4.6%
a 130
 
4.4%
s 123
 
4.2%
Other values (34) 824
28.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2455
83.5%
Other Punctuation 439
 
14.9%
Decimal Number 30
 
1.0%
Uppercase Letter 9
 
0.3%
Other Letter 4
 
0.1%
Math Symbol 3
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 306
12.5%
r 277
11.3%
g 232
 
9.5%
w 185
 
7.5%
n 154
 
6.3%
k 149
 
6.1%
e 134
 
5.5%
a 130
 
5.3%
s 123
 
5.0%
t 110
 
4.5%
Other values (15) 655
26.7%
Decimal Number
ValueCountFrequency (%)
0 12
40.0%
2 6
20.0%
3 3
 
10.0%
5 3
 
10.0%
4 2
 
6.7%
6 2
 
6.7%
1 1
 
3.3%
8 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 426
97.0%
/ 9
 
2.1%
? 3
 
0.7%
: 1
 
0.2%
Other Letter
ValueCountFrequency (%)
골 1
25.0%
리 1
25.0%
다 1
25.0%
집 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
I 6
66.7%
D 3
33.3%
Math Symbol
ValueCountFrequency (%)
= 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2464
83.8%
Common 472
 
16.1%
Hangul 4
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 306
12.4%
r 277
11.2%
g 232
 
9.4%
w 185
 
7.5%
n 154
 
6.2%
k 149
 
6.0%
e 134
 
5.4%
a 130
 
5.3%
s 123
 
5.0%
t 110
 
4.5%
Other values (17) 664
26.9%
Common
ValueCountFrequency (%)
. 426
90.3%
0 12
 
2.5%
/ 9
 
1.9%
2 6
 
1.3%
3 3
 
0.6%
= 3
 
0.6%
? 3
 
0.6%
5 3
 
0.6%
4 2
 
0.4%
6 2
 
0.4%
Other values (3) 3
 
0.6%
Hangul
ValueCountFrequency (%)
골 1
25.0%
리 1
25.0%
다 1
25.0%
집 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2936
99.9%
Hangul 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 426
14.5%
o 306
 
10.4%
r 277
 
9.4%
g 232
 
7.9%
w 185
 
6.3%
n 154
 
5.2%
k 149
 
5.1%
e 134
 
4.6%
a 130
 
4.4%
s 123
 
4.2%
Other values (30) 820
27.9%
Hangul
ValueCountFrequency (%)
골 1
25.0%
리 1
25.0%
다 1
25.0%
집 1
25.0%

시설연락처1(AREA_TEL_NO)
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)6.3%
Missing632
Missing (%)70.0%
Infinite0
Infinite (%)0.0%
Mean33.02583
Minimum2
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2023-12-12T21:24:56.283480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile10
Q110
median33
Q354
95-th percentile63
Maximum70
Range68
Interquartile range (IQR)44

Descriptive statistics

Standard deviation20.081207
Coefficient of variation (CV)0.60804549
Kurtosis-1.4857285
Mean33.02583
Median Absolute Deviation (MAD)23
Skewness0.065186864
Sum8950
Variance403.25489
MonotonicityNot monotonic
2023-12-12T21:24:56.414017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
10 100
 
11.1%
54 30
 
3.3%
33 29
 
3.2%
43 22
 
2.4%
31 19
 
2.1%
61 18
 
2.0%
41 16
 
1.8%
63 11
 
1.2%
55 11
 
1.2%
64 5
 
0.6%
Other values (7) 10
 
1.1%
(Missing) 632
70.0%
ValueCountFrequency (%)
2 1
 
0.1%
10 100
11.1%
31 19
 
2.1%
32 1
 
0.1%
33 29
 
3.2%
41 16
 
1.8%
42 2
 
0.2%
43 22
 
2.4%
51 1
 
0.1%
52 2
 
0.2%
ValueCountFrequency (%)
70 2
 
0.2%
64 5
 
0.6%
63 11
 
1.2%
61 18
2.0%
55 11
 
1.2%
54 30
3.3%
53 1
 
0.1%
52 2
 
0.2%
51 1
 
0.1%
43 22
2.4%

숙박가능여부(ROOM_YN)
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.6%
Missing744
Missing (%)82.4%
Memory size1.9 KiB
True
159 
(Missing)
744 
ValueCountFrequency (%)
True 159
 
17.6%
(Missing) 744
82.4%
2023-12-12T21:24:56.526149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

프로그램여부(PROGRAM_YN)
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.7%
Missing763
Missing (%)84.5%
Memory size1.9 KiB
True
140 
(Missing)
763 
ValueCountFrequency (%)
True 140
 
15.5%
(Missing) 763
84.5%
2023-12-12T21:24:56.628410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

식사가능여부_사용안함(MEAL_YN)
Boolean

MISSING 

Distinct2
Distinct (%)100.0%
Missing901
Missing (%)99.8%
Memory size1.9 KiB
True
 
1
False
 
1
(Missing)
901 
ValueCountFrequency (%)
True 1
 
0.1%
False 1
 
0.1%
(Missing) 901
99.8%
2023-12-12T21:24:56.726424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

숙박소개(ROOM_INTRO)
Text

MISSING 

Distinct71
Distinct (%)100.0%
Missing832
Missing (%)92.1%
Memory size7.2 KiB
2023-12-12T21:24:57.028970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length540
Median length220
Mean length206.56338
Min length5

Characters and Unicode

Total characters14666
Distinct characters552
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)100.0%

Sample

1st row집성목 구조의 목조 주택 세련되고 아늑한 분위기의 유럽풍의 고급 시설 온돌형으로 되어있는 숙박 시설
2nd row[숙박시설] 당일 15:00 ~ 익일 12:00 [일일개장] 0:00 ~ 18:00 [객실] 25개 [야영장] 55개
3rd row가리왕산자연휴양림 숲속의 집
4th row숲속의 집, 삼림문화휴양관
5th row소 개: 8인 기준 복층으로 구성된 숙박시설 제공 객실 수: 9객실(1객실 기준 방1개, 화장실1개) 구비물품: 침구류, 컵, 비누, 냉장고, 온도조절기, 에어컨(침실/거실 각1대) 주의사항: 객실 내 음주·흡연·취사행위 금지, 애완동물 동반 입장 불가
ValueCountFrequency (%)
262
 
8.0%
및 42
 
1.3%
바랍니다 31
 
1.0%
수 29
 
0.9%
당일 27
 
0.8%
합니다 27
 
0.8%
1 22
 
0.7%
있습니다 22
 
0.7%
경우 20
 
0.6%
익일 19
 
0.6%
Other values (1637) 2758
84.6%
2023-12-12T21:24:57.623106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3510
 
23.9%
, 361
 
2.5%
시 257
 
1.8%
0 241
 
1.6%
다 235
 
1.6%
1 203
 
1.4%
. 203
 
1.4%
기 199
 
1.4%
니 198
 
1.4%
일 197
 
1.3%
Other values (542) 9062
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9047
61.7%
Space Separator 3510
 
23.9%
Other Punctuation 799
 
5.4%
Decimal Number 776
 
5.3%
Dash Punctuation 168
 
1.1%
Close Punctuation 140
 
1.0%
Open Punctuation 137
 
0.9%
Math Symbol 34
 
0.2%
Uppercase Letter 31
 
0.2%
Lowercase Letter 16
 
0.1%
Other values (4) 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 257
 
2.8%
다 235
 
2.6%
기 199
 
2.2%
니 198
 
2.2%
일 197
 
2.2%
이 181
 
2.0%
하 154
 
1.7%
용 146
 
1.6%
은 137
 
1.5%
실 134
 
1.5%
Other values (477) 7209
79.7%
Other Punctuation
ValueCountFrequency (%)
, 361
45.2%
. 203
25.4%
: 149
18.6%
% 21
 
2.6%
· 16
 
2.0%
/ 14
 
1.8%
* 12
 
1.5%
※ 11
 
1.4%
？ 6
 
0.8%
? 2
 
0.3%
Other values (3) 4
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
V 9
29.0%
T 9
29.0%
M 2
 
6.5%
P 2
 
6.5%
C 1
 
3.2%
X 1
 
3.2%
I 1
 
3.2%
D 1
 
3.2%
U 1
 
3.2%
O 1
 
3.2%
Other values (3) 3
 
9.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
12.5%
c 2
12.5%
t 2
12.5%
d 1
 
6.2%
p 1
 
6.2%
m 1
 
6.2%
ℓ 1
 
6.2%
n 1
 
6.2%
o 1
 
6.2%
y 1
 
6.2%
Other values (3) 3
18.8%
Decimal Number
ValueCountFrequency (%)
0 241
31.1%
1 203
26.2%
2 87
 
11.2%
3 52
 
6.7%
5 42
 
5.4%
8 37
 
4.8%
4 31
 
4.0%
7 31
 
4.0%
9 28
 
3.6%
6 24
 
3.1%
Close Punctuation
ValueCountFrequency (%)
) 123
87.9%
] 13
 
9.3%
」 3
 
2.1%
〉 1
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 121
88.3%
[ 13
 
9.5%
「 3
 
2.2%
Other Symbol
ValueCountFrequency (%)
○ 3
60.0%
㎡ 1
 
20.0%
☎ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
3510
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 168
100.0%
Math Symbol
ValueCountFrequency (%)
~ 34
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9044
61.7%
Common 5573
38.0%
Latin 46
 
0.3%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 257
 
2.8%
다 235
 
2.6%
기 199
 
2.2%
니 198
 
2.2%
일 197
 
2.2%
이 181
 
2.0%
하 154
 
1.7%
용 146
 
1.6%
은 137
 
1.5%
실 134
 
1.5%
Other values (476) 7206
79.7%
Common
ValueCountFrequency (%)
3510
63.0%
, 361
 
6.5%
0 241
 
4.3%
1 203
 
3.6%
. 203
 
3.6%
- 168
 
3.0%
: 149
 
2.7%
) 123
 
2.2%
( 121
 
2.2%
2 87
 
1.6%
Other values (30) 407
 
7.3%
Latin
ValueCountFrequency (%)
V 9
19.6%
T 9
19.6%
M 2
 
4.3%
e 2
 
4.3%
c 2
 
4.3%
t 2
 
4.3%
P 2
 
4.3%
C 1
 
2.2%
X 1
 
2.2%
I 1
 
2.2%
Other values (15) 15
32.6%
Han
ValueCountFrequency (%)
前 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9044
61.7%
ASCII 5571
38.0%
None 29
 
0.2%
Punctuation 13
 
0.1%
CJK 3
 
< 0.1%
Geometric Shapes 3
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%
CJK Compat 1
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3510
63.0%
, 361
 
6.5%
0 241
 
4.3%
1 203
 
3.6%
. 203
 
3.6%
- 168
 
3.0%
: 149
 
2.7%
) 123
 
2.2%
( 121
 
2.2%
2 87
 
1.6%
Other values (43) 405
 
7.3%
Hangul
ValueCountFrequency (%)
시 257
 
2.8%
다 235
 
2.6%
기 199
 
2.2%
니 198
 
2.2%
일 197
 
2.2%
이 181
 
2.0%
하 154
 
1.7%
용 146
 
1.6%
은 137
 
1.5%
실 134
 
1.5%
Other values (476) 7206
79.7%
None
ValueCountFrequency (%)
· 16
55.2%
？ 6
 
20.7%
「 3
 
10.3%
」 3
 
10.3%
〉 1
 
3.4%
Punctuation
ValueCountFrequency (%)
※ 11
84.6%
‘ 1
 
7.7%
’ 1
 
7.7%
CJK
ValueCountFrequency (%)
前 3
100.0%
Geometric Shapes
ValueCountFrequency (%)
○ 3
100.0%
Letterlike Symbols
ValueCountFrequency (%)
ℓ 1
100.0%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%
Misc Symbols
ValueCountFrequency (%)
☎ 1
100.0%

등록일자(INPUT_DT).6
Text

MISSING 

Distinct122
Distinct (%)42.1%
Missing613
Missing (%)67.9%
Memory size7.2 KiB
2023-12-12T21:24:58.072333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters2030
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)39.3%

Sample

1st row36:17.0
2nd row52:46.0
3rd row54:45.0
4th row52:42.0
5th row57:13.0
ValueCountFrequency (%)
00:00.0 101
34.8%
42:40.0 50
17.2%
58:02.0 15
 
5.2%
34:07.0 2
 
0.7%
49:49.0 2
 
0.7%
20:24.0 2
 
0.7%
20:42.0 2
 
0.7%
36:17.0 2
 
0.7%
52:55.0 1
 
0.3%
21:32.0 1
 
0.3%
Other values (112) 112
38.6%
2023-12-12T21:24:58.645434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 830
40.9%
: 290
 
14.3%
. 290
 
14.3%
4 161
 
7.9%
2 140
 
6.9%
5 79
 
3.9%
1 71
 
3.5%
3 55
 
2.7%
9 37
 
1.8%
8 34
 
1.7%
Other values (2) 43
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1450
71.4%
Other Punctuation 580
 
28.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 830
57.2%
4 161
 
11.1%
2 140
 
9.7%
5 79
 
5.4%
1 71
 
4.9%
3 55
 
3.8%
9 37
 
2.6%
8 34
 
2.3%
7 28
 
1.9%
6 15
 
1.0%
Other Punctuation
ValueCountFrequency (%)
: 290
50.0%
. 290
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2030
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 830
40.9%
: 290
 
14.3%
. 290
 
14.3%
4 161
 
7.9%
2 140
 
6.9%
5 79
 
3.9%
1 71
 
3.5%
3 55
 
2.7%
9 37
 
1.8%
8 34
 
1.7%
Other values (2) 43
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2030
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 830
40.9%
: 290
 
14.3%
. 290
 
14.3%
4 161
 
7.9%
2 140
 
6.9%
5 79
 
3.9%
1 71
 
3.5%
3 55
 
2.7%
9 37
 
1.8%
8 34
 
1.7%
Other values (2) 43
 
2.1%

수정일자(UPDATE_DT).6
Text

MISSING 

Distinct119
Distinct (%)53.8%
Missing682
Missing (%)75.5%
Memory size7.2 KiB
2023-12-12T21:24:59.035649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters1547
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique118 ?
Unique (%)53.4%

Sample

1st row14:25.0
2nd row58:01.0
3rd row15:07.0
4th row24:30.0
5th row26:44.0
ValueCountFrequency (%)
00:00.0 103
46.6%
28:40.0 1
 
0.5%
18:46.0 1
 
0.5%
31:33.0 1
 
0.5%
44:10.0 1
 
0.5%
15:09.0 1
 
0.5%
24:09.0 1
 
0.5%
57:18.0 1
 
0.5%
41:46.0 1
 
0.5%
49:22.0 1
 
0.5%
Other values (109) 109
49.3%
2023-12-12T21:24:59.525124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 695
44.9%
: 221
 
14.3%
. 221
 
14.3%
5 73
 
4.7%
1 65
 
4.2%
2 64
 
4.1%
4 55
 
3.6%
3 54
 
3.5%
9 31
 
2.0%
7 25
 
1.6%
Other values (2) 43
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1105
71.4%
Other Punctuation 442
 
28.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 695
62.9%
5 73
 
6.6%
1 65
 
5.9%
2 64
 
5.8%
4 55
 
5.0%
3 54
 
4.9%
9 31
 
2.8%
7 25
 
2.3%
8 23
 
2.1%
6 20
 
1.8%
Other Punctuation
ValueCountFrequency (%)
: 221
50.0%
. 221
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1547
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 695
44.9%
: 221
 
14.3%
. 221
 
14.3%
5 73
 
4.7%
1 65
 
4.2%
2 64
 
4.1%
4 55
 
3.6%
3 54
 
3.5%
9 31
 
2.0%
7 25
 
1.6%
Other values (2) 43
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1547
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 695
44.9%
: 221
 
14.3%
. 221
 
14.3%
5 73
 
4.7%
1 65
 
4.2%
2 64
 
4.1%
4 55
 
3.6%
3 54
 
3.5%
9 31
 
2.0%
7 25
 
1.6%
Other values (2) 43
 
2.8%

삭제여부(DEL_YN)
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.3%
Missing613
Missing (%)67.9%
Memory size1.9 KiB
False
290 
(Missing)
613 
ValueCountFrequency (%)
False 290
32.1%
(Missing) 613
67.9%
2023-12-12T21:24:59.661355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

삭제사유(DEL_REASON)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing903
Missing (%)100.0%
Memory size8.1 KiB

식당가능여부(RESTAURANT_YN)
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)5.3%
Missing884
Missing (%)97.9%
Memory size1.9 KiB
True
 
19
(Missing)
884 
ValueCountFrequency (%)
True 19
 
2.1%
(Missing) 884
97.9%
2023-12-12T21:24:59.744006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

취사가능여부(COOK_YN)
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)2.1%
Missing808
Missing (%)89.5%
Memory size1.9 KiB
True
94 
False
 
1
(Missing)
808 
ValueCountFrequency (%)
True 94
 
10.4%
False 1
 
0.1%
(Missing) 808
89.5%
2023-12-12T21:24:59.844061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설코드(USE_FACILITY_CD).6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing903
Missing (%)100.0%
Memory size8.1 KiB

순번(SEQ)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing903
Missing (%)100.0%
Memory size8.1 KiB

행정처분 코드 (K025)(ADMIN_DISP_CD)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing903
Missing (%)100.0%
Memory size8.1 KiB

행정처분일(ADMIN_DISP_DT)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing903
Missing (%)100.0%
Memory size8.1 KiB

행정처분 종료일(ADMIN_DISP_END_DT)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing903
Missing (%)100.0%
Memory size8.1 KiB

행정처분 사유(ADMIN_DISP_REASON)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing903
Missing (%)100.0%
Memory size8.1 KiB

Sample

일련번호(SEQ)인력구분(WORKER_TYPE)인력기준_산림치유지도사 1급(PRO_FORE_HEAL_LV1)인력기준_산림치유지도사 2급(PRO_FORE_HEAL_LV2)인력기준_숲해설가(PRO_FORE_EXPL)인력기준_유아숲지도사(PRO_CHILD_FORE)인력기준_숲길체험지도사(PRO_FORE_ROAD_EXP)인력기준_상근관리자(PRO_EMP_MNGR)등록일자(INPUT_DT)수정일자(UPDATE_DT)시설코드(USE_FACILITY_CD)일련번호(SEQ).1인력구분(WORKER_TYPE).1인력기준_산림치유지도사 1급(PRO_FORE_HEAL_LV1).1인력기준_산림치유지도사 2급(PRO_FORE_HEAL_LV2).1인력기준_숲해설가(PRO_FORE_EXPL).1인력기준_유아숲지도사(PRO_CHILD_FORE).1인력기준_숲길체험지도사(PRO_FORE_ROAD_EXP).1인력기준_상근관리자(PRO_EMP_MNGR).1등록일자(INPUT_DT).1수정일자(UPDATE_DT).1시설코드(USE_FACILITY_CD).1일련번호(SEQ).2가맹점 타입(STORE_TYPE)사용여부(USE_YN)등록일자(INPUT_DT).2수정일자(UPDATE_DT).2시설코드(USE_FACILITY_CD).2시설명(USE_FACILITY_NM)시설구분 (1:국립, 2:일반)(USE_FACILITY_GB)시설종류 (K015)(USE_FACILITY_KIND)신청서 구분 (K016)(REQ_GB)시설그룹 코드(GROUP_CD)서비스제공자 등록번호(REG_CERT_NO)서비스제공자 등록일자(REG_CERT_DT)우편번호(ZIP_NO)주소(ADDR)상세주소(DETAIL_ADDR)시설전화번호1(AREA_TEL_NO)시설팩스번호1(AREA_FAX_NO)시설팩스번호2(MID_FAX_NO)시설팩스번호3(END_FAX_NO)시설기준(FACILITY_STND)인력기준(WORKER_STND)인력기준_산림치유지도사 1급(PRO_FORE_HEAL_LV1).2인력기준_산림치유지도사 2급(PRO_FORE_HEAL_LV2).2인력기준_숲해설가(PRO_FORE_EXPL).2인력기준_유아숲지도사(PRO_CHILD_FORE).2인력기준_숲길체험지도사(PRO_FORE_ROAD_EXP).2인력기준_상근관리자(PRO_EMP_MNGR).2재발급 신청 사유 (K023)(REISSUE_REASON)첨부파일(ATCH_FILE_ID)신청일자(REQ_DT)신청상태 (K017)(REQ_STS)신청상태사유(STS_REASON)접수상태 (K018)(RCPT_STS)접수일자(RCPT_DT)처리일자(APRV_DT)개인정보 수집/이용 동의(PRIVATE_USE_AGREE)개인정보 처리 동의(PRIVATE_PROC_AGREE)산림복지서비스 현황 정보의 공개 동의(FOWI_PUBLIC_AGREE)등록일자(INPUT_DT).3수정일자(UPDATE_DT).3시설그룹 코드(GROUP_CD).1담당자 구분 (K019)(MNG_GB)등록일자(INPUT_DT).4수정일자(UPDATE_DT).4시설코드(USE_FACILITY_CD).3프로그램 번호(PROGRAM_NO)프로그램소개(PROGRAM_INTRO)시설코드(USE_FACILITY_CD).4시설명(USE_FACILITY_NM).1시설구분 (1:국립, 2:일반)(USE_FACILITY_GB)시설종류 (K015)(USE_FACILITY_KIND).1시설그룹 코드(GROUP_CD).2서비스제공자 등록번호(REG_CERT_NO).1서비스제공자 등록일자(REG_CERT_DT).1지역코드 (K021)(AREA_CD)우편번호(ZIP_NO).1주소(ADDR).1상세주소(DETAIL_ADDR).1시설전화번호1(AREA_TEL_NO).1시설팩스번호1(AREA_FAX_NO).1시설팩스번호2(MID_FAX_NO).1시설팩스번호3(END_FAX_NO).1시설기준(FACILITY_STND).1인력기준(WORKER_STND).1인력기준_산림치유지도사 1급(PRO_FORE_HEAL_LV1).3인력기준_산림치유지도사 2급(PRO_FORE_HEAL_LV2).3인력기준_숲해설가(PRO_FORE_EXPL).3인력기준_유아숲지도사(PRO_CHILD_FORE).3인력기준_숲길체험지도사(PRO_FORE_ROAD_EXP).3인력기준_상근관리자(PRO_EMP_MNGR).3제공실적(OFFER_RECORD)등록일자(INPUT_DT).5수정일자(UPDATE_DT).5등록취소 여부(DEL_YN)이용희망시설 노출 여부(USE_FACILITY_YN)페이지 공개여부(VIEW_YN)시설코드(USE_FACILITY_CD).5시설소개(FACILITY_INTRO)시설 홈페이지(URL)시설연락처1(AREA_TEL_NO)숙박가능여부(ROOM_YN)프로그램여부(PROGRAM_YN)식사가능여부_사용안함(MEAL_YN)숙박소개(ROOM_INTRO)등록일자(INPUT_DT).6수정일자(UPDATE_DT).6삭제여부(DEL_YN)삭제사유(DEL_REASON)식당가능여부(RESTAURANT_YN)취사가능여부(COOK_YN)시설코드(USE_FACILITY_CD).6순번(SEQ)행정처분 코드 (K025)(ADMIN_DISP_CD)행정처분일(ADMIN_DISP_DT)행정처분 종료일(ADMIN_DISP_END_DT)행정처분 사유(ADMIN_DISP_REASON)
01T00300020:35.0<NA>1201T00300020:35.0<NA>183OFFY34:36.027:13.056국립운문산자연휴양림사립휴양림자연휴양림등록23<NA><NA>38368경상북도 청도군 운문면 운문로 763국립운문산자연휴양림54543711326숙박시설(연립동 4동, 숲속의 집 5동, 산림문화휴양관 2동, 숲속수련장 1동, 야영장 야영데크), 편익시설(주차장, 방문자안내소), 위생시설(야외화장실, 야외취사장, 오수정화시설), 체험교육시설(산책로, 회의실, 목공예체험장, 야생식물관찰원), 체육시설(잔디광장, 족구장), 안전시설(사방댐, 화재경보기) 등<NA>002000<NA>FILE_00000000002224642:14.0승인<NA>완료42:14.042:14.0YYY42:14.0<NA>25대표담당자48:30.0<NA>161프로그램: 놀이로 만나는 숲 목 적: 숲놀이를 통해 숲과 친밀감 형성 유 형: 실외체험형 참가대상: 유치원생, 초등 저학년, 장애인, 일반인 등 운영시간: 2시간 참가비용: 1만원/인56국립운문산자연휴양림국립휴양림자연휴양림232300:00.0경북38368경상북도 청도군 운문면 운문로 763국립운문산자연휴양림54543711326숙박시설(연립동 4동, 숲속의 집 5동, 산림문화휴양관 2동, 숲속수련장 1동, 야영장 야영데크), 편익시설(주차장, 방문자안내소), 위생시설(야외화장실, 야외취사장, 오수정화시설), 체험교육시설(산책로, 회의실, 목공예체험장, 야생식물관찰원), 체육시설(잔디광장, 족구장), 안전시설(사방댐, 화재경보기) 등<NA>002000042:14.0<NA>NNY22산음자연휴양림은 경기도 양평군 단월면에 위치하고 있다. 2000년 1월 1일에 개장했으며, 총 면적은 2,140ha, 1일 최대 수용인원은 2,000명, 적정 수용인원은 1,500명이다. 산음은 '산그늘' 이라는 뜻으로 폭산, 봉미산, 소리산, 싸리봉 등의 준봉들에 사방으로 둘러싸여 항상 산그늘에 있다하여 붙여진 지명이다. 산음휴양림에는 임도 40km, 등산로 28km, 산책로 5km의 숲길이 잘 정돈되어 있다. 휴양림계곡을 따라 참나무류, 층층나무, 물푸레나무, 복자기나무, 소나무, 다래나무, 철쭉나무 등 다양한 수종의 원시혼효림과 낙엽송, 자작나무, 잣나무 등의 인공림이 산림생태계를 구성하고 있으며 숲에서 흐르는 맑은 물과 반딧불, 곤줄박이, 동고비, 박새, 직박구리, 까막딱다구리, 맷돼지, 고라니, 수달 등 다양한 야생동물이 자연과 더불어 살아가는 아름다운 모습을 보여주고 있다.huyang.forest.go.kr31YY<NA><NA>36:17.014:25.0N<NA><NA><NA><NA><NA><NA><NA><NA><NA>
11T00500023:23.0<NA>1211T00500023:23.0<NA>142OFFY15:35.0<NA>58국립운장산자연휴양림사립휴양림자연휴양림등록25<NA><NA>55410전라북도 진안군 정천면 휴양림길 77국립운장산자연휴양림63634331194숙박시설(연립동 1동, 숲속수련장 1동, 숲속의 집 10동, 산림문화휴양관 1동), 편익시설(주차장), 위생시설(실외화장실, 오수정화시설), 체험교육시설(산책로, 체험장), 체육시설(다목적잔디구장), 전기·통신시설(휴대전화중계기, 변전설비) 안전시설(소화기, 화재경보기, CCTV, 방송시설)<NA>002000<NA>FILE_00000000002224848:30.0승인<NA>완료48:30.048:30.0YYY48:30.0<NA>37대표담당자23:00.0<NA>591지리산자연휴양림에는 숲해설가 2명과 숲생태안내인 2명이, 연중 휴양림이용객을 대상으로 숲해설을 실시하고 있으며 주말 프로그램을 통해 알찬 산림휴양을 체험할 수 있도록 운영하고 있다. 토요일(저녁): 어린이, 청소년을 대상으로 숲속 야학(1~2시간) 일요일(오전): 한지뜨기체험 (휴양림 사정에 의해 변경될 수 있음.)58국립운장산자연휴양림국립휴양림자연휴양림252500:00.0전북55410전라북도 진안군 정천면 휴양림길 77국립운장산자연휴양림63634331194숙박시설(연립동 1동, 숲속수련장 1동, 숲속의 집 10동, 산림문화휴양관 1동), 편익시설(주차장), 위생시설(실외화장실, 오수정화시설), 체험교육시설(산책로, 체험장), 체육시설(다목적잔디구장), 전기·통신시설(휴대전화중계기, 변전설비) 안전시설(소화기, 화재경보기, CCTV, 방송시설)<NA>002000048:30.0<NA>NNY63해발 약 900m 고지에 위치한 숲치유센터 지상2층, 지하1층의 약 250평 규모로 건강측정, 열치유, 물치유 등 다양한 프로그램 제공hoengseong.fowi.or.kr33YY<NA>집성목 구조의 목조 주택 세련되고 아늑한 분위기의 유럽풍의 고급 시설 온돌형으로 되어있는 숙박 시설52:46.058:01.0N<NA>Y<NA><NA><NA><NA><NA><NA><NA>
21T00400049:45.0<NA>1291T00400049:45.0<NA>191ONY31:40.0<NA>14국립횡성숲체원사립휴양림산림교육센터등록1<NA><NA>25261강원도 횡성군 둔내면 청태산로 777국립횡성숲체원333334064011. 일반기준 : 임야 159,710㎡ 2. 기본시설 가. 강의실(대강당, 중강당, 대배움방, 중배움방), 나. 실내실습장(체험방), 다. 도서실, 라. 안내실, 사무실, 마. 화장실, 냉난방시설 3. 지원시설 : 세미나실, 숙박시설, 양호실<NA>0080012<NA>FILE_00000000002219152:11.0승인<NA>완료52:11.052:11.0YYY52:11.0<NA>1대표담당자52:11.0<NA>1761숲해설 (1일 2회) - 시간 : 오전 10:00, 오후 14:00 목공예 체험 (1일 2회) - 시간 : 오전 11:00, 오후 15:00 숲해설 / 목공예 실습 : 고진수 선생님14국립횡성숲체원진흥원소속기관산림교육센터1100:00.0강원25261강원도 횡성군 둔내면 청태산로 777국립횡성숲체원333334064011. 일반기준 : 임야 159,710㎡ 2. 기본시설 가. 강의실(대강당, 중강당, 대배움방, 중배움방), 나. 실내실습장(체험방), 다. 도서실, 라. 안내실, 사무실, 마. 화장실, 냉난방시설 3. 지원시설 : 세미나실, 숙박시설, 양호실<NA>0080012052:11.025:08.0NYY23양평군 옥천면에서 주말 드라이브 코스로 유명한 농다치고갯길 정상까지 올라가면 울창한 숲과 남한강이 조화롭게 배치되어 있어 눈이 시원하고 산안개가 끼는 아침이면 주위에 운무가 가득해 색다른 분위기가 난다. 이 정상에서 서쪽방면으로 1.4km 내려오면 휴양림 제1매표소가 있다. 휴양림 내에는 다양한 크기의 통나무집이 자연과 조화롭게 분산 배치되어 있고, 휴양림 중심부에 숲산책로가 설치되어 직접 산림을 체험할 수 있으며, 숲해설가들로부터 오감을 체험할 수 있는 유익한 숲해설을 들을 수 있고 또한 오리엔티어링프로그램을 운용하고 있습니다.huyang.forest.go.kr31YY<NA><NA>54:45.015:07.0N<NA><NA><NA><NA><NA><NA><NA><NA><NA>
31T00300001:19.0<NA>1351T00300001:19.0<NA>681OFFY27:53.0<NA>16국립칠곡숲체원사립휴양림산림교육센터변경3300:00.039846경상북도 칠곡군 석적읍 유학로 532칠곡나눔숲체원545497787751. 일반기준 : 300,000 2. 기본시설 : 강의실, 실내실습장, 도서실, 대강당, 관리 및 사무실, 안내시설, 화장실 3. 지원시설 : 휴게실, 양호실, 단체숙소, 구내식당/매점<NA>005002<NA>FILE_00000000002219720:02.0승인<NA>완료20:02.021:22.0YYY20:02.021:22.023대표담당자42:14.0<NA>1611자연그대로의 공간인 숲에서 만지고 보고 느끼는 오감을 통해 스스로 배울 수 있는 자연체험 공간입니다. 숲체험 교육은 주로 숲해설가들이 각 계절에 볼 수 있는 나무나 야생화, 곤충, 조류 등에 대해 실물을 보며 해설해 주고 있으며, 자연물을 이용한 작품 등을 아동들이 만들어 보게 하고, 숲에서 자연을 제험할 수 있게 활동합니다.70학가산우래자연휴양림사립휴양림자연휴양림373700:00.0경북36813경상북도 예천군 보문면 휴양림길 210학가산우래자연휴양림5451653114숙박시설 : 산림휴양관 1동 산장 19동 편의시설 : 양영장, 산책로, 등산로 등 위생시설 : 취사장, 화장실 등 체험교육시설 : 세미나실, 산림욕장 등 체육시설 : 족구장, 운동장, 물놀이장 등 전기통신시설 : 전기, 전화, 인터넷, 방송음향시설 등 안전시설 : cctv, 재해예방, 사방댐 등<NA>004000023:00.002:28.0NYY29해발 1,200m의 청태산을 주봉으로 하여 인공림과 천연림이 잘 조화된 울창한 산림을 바탕으로 한 국유림경영 시범단지로서 숲속에는 노루, 멧돼지, 토끼 등 각종 야생동물과 식물이 고루 서식하고 있어 자연박물관을 찾은 기분을 느낄 수 있다. 영동고속도로 신갈기점 강릉방향 127.5km(서울에서 162㎞) 지점에 위치하고 있어 여름철 동해안 피서객들이 잠시 쉬었다 가기 편리하고, 치악산, 오대산국립공원과 스키장(웰리힐리파크, 보광휘닉스파크) 등 인접 관광휴양지와 연계이용이 가능하고, 울창한 잣나무 숲속의 산림욕장은 한번 왔다간 사람은 누구나 매료되어 다시 찾는 곳이기도 하다.huyang.forest.go.kr33YY<NA><NA>52:42.024:30.0N<NA><NA><NA><NA><NA><NA><NA><NA><NA>
41T00300004:47.0<NA>1391T00200030:31.0<NA>187OFFY27:09.0<NA><NA>횡성숲체원사립휴양림산림교육센터등록37<NA><NA>25261강원도 횡성군 둔내면 청태산로 777횡성숲체원33333406401복건복지부 시설분류에 따른 장애인거주시설<NA>000000<NA>FILE_00000000002780426:09.0접수<NA>서류심사중26:09.0<NA>YYY26:09.0<NA>39대표담당자07:18.0<NA>1541숲해설은 숲 해설가의 안내에 따라 휴양림 안의 코스를 돌며 자연을 체험하는 활동입니다. 숲을 찾는 사람들에게 흥미와 호기심을 유발시키고 지식과 정보를 제공하여 숲의 소중함과 필요성을 배울 수 있는 프로그램 입니다.90무등산편백자연휴양림사립휴양림자연휴양림393900:00.0전남58103전라남도 화순군 이서면 안양산로 685산57-1616137320651. 숙박시설 : 산림문화휴양관, B산막, 천사의집, 백조의성 등 2. 편익시설 : 전망대, 주차장, 일반음식점, 대강당, 소강당 등 3. 위생시설 : 화장실 4. 체험·교육시설 : 산책로, 등산로, 잔디운동장, 족구장 등 5. 체육시설 : 어린이놀이터, 물놀이터 6. 전기·통신시설 : 전기배분함, 앰프시설 7. 안전시설 : 경보기, 소화장비, 누전차단기, 대피소<NA>002000007:18.002:38.0NYY53울창한 소나무숲과 맑은계곡, 바위가 어우러진 대관령기슭에 1988년 전국 최초로 조성된 자연휴양림이다. 휴양림내 50년 ~ 200년생 아름드리 소나무숲 중 일부는 1922년~1928년에 인공으로 소나무씨를 뿌려 조성한 숲으로 학술적 가치가 높은 산림이다. 특히 솔고개 너머에 있는 숲속수련장은 강의실과 숙박시설, 잔디광장, 체력단련시설, 숲속교실 등을 구비하여 청소년수련시설로 아주 좋은 여건을 갖추고 있다. 또한 자기학습식 숲체험로, 야생화정원, 황토초가집과 물레방아, 숯가마터 등은 색다른 볼거리로 가족단위의 자연학습과 산림문화체험장으로써 좋은 반응을 얻고 있다huyang.forest.go.kr33YY<NA><NA>57:13.026:44.0N<NA><NA><NA><NA><NA><NA><NA><NA><NA>
51T00200030:31.0<NA>1651T00200031:10.0<NA>921ONY14:03.0<NA>70학가산우래자연휴양림사립휴양림자연휴양림등록37<NA><NA>36813경상북도 예천군 보문면 휴양림길 210학가산우래자연휴양림5451653114숙박시설 : 산림휴양관 1동 산장 19동 편의시설 : 양영장, 산책로, 등산로 등 위생시설 : 취사장, 화장실 등 체험교육시설 : 세미나실, 산림욕장 등 체육시설 : 족구장, 운동장, 물놀이장 등 전기통신시설 : 전기, 전화, 인터넷, 방송음향시설 등 안전시설 : cctv, 재해예방, 사방댐 등<NA>004000<NA>FILE_00000000003065123:00.0승인<NA>완료23:00.023:00.0YYY23:00.0<NA>49대표담당자24:56.0<NA>1841문성자연휴양림 물놀이장을 7월21일부터 8월12일까지 운영합니다. 이용시간은 10시~17시까지이며 수심은 40~80cm이며 어린이, 유아 전용으로 보호자 동반아래 이용 하실 수있습니다.이용시 주의사항은 물놀이장 이용안내를 참고하시기 바라며 운영기간은 현지 사정에 따라 변동될수 있습니다.100용대자연휴양림국립휴양림자연휴양림494900:00.0강원24605강원도 인제군 북면연화동길 7 용대자연휴양림33334625030첨부서류 참조<NA>002000024:56.0<NA>NNY55관광도시로 널리 알려진 문경시의 8경중 중심부에 위치하고 있으며, 대야산(930m)과 둔덕산(970m) 사이로 흐르는 용추계곡, 선유동계곡의 수려하고 청정한 물은 여름철 많은 방문객을 반긴다. 신라9산선문의 봉암사, 견훤유적지, 운강 이강년 생가지, 문경새재 등 역사적으로 유명한 곳이 휴양림 인근에 위치하고 있어 어린이들의 학습에도 많은 도움을 주며, 도자기 전시관, 생태공원, 클레이 사격장, 레프팅, 드라마 오픈세트장 등 다양한 체험학습과 관광 및 레포츠를 누구나가 쉽게 접할 수 있다. 용추계곡 바로 옆에 자리잡고 있는 휴양림은 가족들이 편히 쉬어 갈 수 있는 산림문화휴양관과 숲속의집이 있으며, 가족들이 함께 체험할 수 있는 목공예체험장 등이 있으며, 휴양림과 용추계곡을 아우르는 선유동 나들길이 인접해 있어 산책을 즐기기에도 좋은 곳이다.huyang.forest.go.kr54YY<NA><NA>59:52.052:26.0N<NA><NA><NA><NA><NA><NA><NA><NA><NA>
61T00200031:10.0<NA>1701T00001054:47.0<NA>1231ONY36:08.0<NA>98속리산말티재산자연휴양림사립휴양림자연휴양림등록47<NA><NA>28911충청북도 보은군 장안면속리산로 256 속리산말티재산자연휴양림43435436284첨부서류 참조<NA>002000<NA>FILE_00000000003076720:24.0승인<NA>완료20:24.020:24.0YYY20:24.0<NA>50대표담당자26:28.0<NA>1371* 휴양체험시설 - 야생화단지 : 꽃무릇, 원추리, 맥문동 등 - 관찰 데크로드 : 0.5km, 숲길 데크로드 : 0.65km - 지압로 : 0.24km -조류사, 표고버섯 체험장101방태산자연휴양림국립휴양림자연휴양림505000:00.0강원24656강원도 인제군 기린면방태산길 241 방태산자연휴양림3333463173첨부서류 참조<NA>002000026:28.0<NA>NNY56대구∼경남 언양간 지방도(69호선)변에 위치, 백두대간 낙동정맥의 남부지역에 위치하는 문복산(1,014m)과 영남의 알프스라 칭하는 가지산(1,240m)등 해발 1,000m이상의 고봉에 둘러싸여 있어 여름철 피서는 물론 등산과 삼림욕을 함께 즐길 수 있으며 인근에는 비구니 승가대학인 운문사와 주민 식수원인 운문댐을 볼 수 있다. 휴양림 입구에는 옛 운문성을 재현한 특이한 정문 조형물과 시설지구내에 20m 높이에 은막의 물을 쏟아 붓고 있는 용미폭포와 모래흙이 없는 완전 암반바위를 구슬같이 흘러내리는 벽계수와 계곡에 자생하는 노각나무 등 다양한 수종의 울창한 천연활엽수림 지역으로 여름에는 울창한 숲으로 더위를 잊게하고 가을에는 기암괴석과 조화된 형형색색의 단풍과 겨울에는 심산계곡의 고요한 자연속에서 포근한 설경과 얼음동산, 용미폭포의 빙벽은 절경이며 동쪽 2km지점에 위치한 운문령에서는 동해의 해돋이 관광도 즐길 수 있는 특색있는 지역이다.huyang.forest.go.kr54YY<NA><NA>01:26.052:39.0N<NA><NA><NA><NA><NA><NA><NA><NA><NA>
71T00001054:47.0<NA>1861T00200001:39.0<NA>951ONY22:11.0<NA>99용화산자연휴양림사립휴양림자연휴양림등록48<NA><NA>24201강원도 춘천시 사북면사여골길 294 용화산자연휴양림33332439260첨부서류 참조<NA>002000<NA>FILE_00000000003076822:27.0승인<NA>완료22:27.022:27.0YYY22:27.0<NA>57대표담당자39:39.0<NA>631？ 당일형 프로그램 - 야외숲치유 : 체조, 명상, 걷기 등 운동요법을 활용한 신체건강증진 프로그램 - 소통화담치유 : 서로 의지하기, 향기마사지를 통한 참가자 관계 증진 프로그램 ？ 1박 2일형 프로그램 - 사전건강측정 : 혈압, 인바디 측정을 통한 내몸 진단 프로그램 - 야외숲치유 : 체조, 명상, 걷기 등 운동요법을 활용한 신체건강증진 프로그램 - 소통화담치유 : 서로 의지하기, 향기마사지를 통한 참가자 관계 증진 프로그램108통고산자연휴양림국립휴양림자연휴양림575700:00.0경북36301경상북도 울진군 금강송면불영계곡로 1638 통고산자연휴양림54547826841첨부서류 참조<NA>002000039:39.0<NA>NNY641999년 6월 1일에 개장한 자연휴양림으로 총 면적은 70ha이며 개인이 운영하고 있다. 휴양림 정문 입구에 있는 고개가 설매재인데, 과거에 눈이 많이 내려도 매화가 피었다고 해서 붙여진 이름이다. 서울에서 1시간 이내에 갈 수 있는 수도권 휴양림으로 소나무, 낙엽송, 고로쇠, 단풍나무, 철쭉 등이 많이 자란다. 산나물, 두릅나물, 취나물 등 각종 나물이 풍부하며, 산 정상에는 약 7만 평의 광활한 고랭지 농장이 있다. 이곳에서는 주말 농장 회원을 모집하여 농사 체험과 함께 자연을 만끽할 수 있는 시간을 제공한다. 이 밖에도 자연관찰 산책로, 물놀이장, 전망대 및 데크, 임간 수련원, 숲속 운동시설, 산림욕장 등이 있다. 단체 야유회, 야외 연수 교육 등에 적합하며, 서바이벌 게임장 및 유명산 패러글라이딩 활강장, 초보자를 위한 패러글라이딩 연습장 등이 인접해 있어서 야외 레포츠를 즐기기에 좋다. 또한 용천 계곡과 유명산 계곡이 가까운 곳에 있어 휴양지로도 적격이다.www.snrf.co.kr31YY<NA><NA>12:14.032:29.0N<NA>YY<NA><NA><NA><NA><NA><NA>
81T00200001:39.0<NA>1951T00301119:45.0<NA>1351OFFY47:10.0<NA>100용대자연휴양림사립휴양림자연휴양림등록49<NA><NA>24605강원도 인제군 북면연화동길 7 용대자연휴양림33334625030첨부서류 참조<NA>002000<NA>FILE_00000000003076924:56.0승인<NA>완료24:56.024:56.0YYY24:56.0<NA>58대표담당자41:25.0<NA>1771· 어린이와 노약자는 반드시 보호자와 동반해서 관람합니다. · 수목원내 시설물 및 동？식물을 함께 보호합니다. · 위험한 동ㆍ식물(뱀,벌,독버섯 등)을 조심하시기 바랍니다. · 반려동물을 데리고 입장할 수 없습니다. · 수목원 전 지역은 금연, 금주 구역입니다. · 수목원 전 구역에서는 취사를 하실 수 없습니다. · 음식물 섭취는 지정된 곳에서만 가능합니다. · 야영, 종교의식, 집단오락 등을 금지합니다. · 비개방구역, 탐방로 이외는 출입을 금지합니다. · 쓰레기는 되가져가고 머문 자리는 스스로 정리합니다. · 관람약속을 지키지 않을 경우 퇴장 조치 될 수 있습니다.109신불산폭포자연휴양림국립휴양림자연휴양림585800:00.0울산44909울산광역시 울주군 상북면억새벌길 200-78 신불산폭포자연휴양림52522646805첨부서류 참조<NA>002000041:25.0<NA>NNY52삼봉 자연휴양림은 강원도 홍천군 내면 광원리에 위치하고,청명한 날에는 가칠봉 정상에서 오대산과 설악산국립공원의 화려한 경관을 볼 수 있다. 3개의 봉우리로 둘러싸여 있어 '삼봉'이라 불리며, 삼봉의 대각선 중심지에는 삼봉약수터가 있는데, 이곳 약수는 전국적으로 위장병에 효험이 있다고 알려져 많은 사람들이 찾고 있다.huyang.forest.go.kr33YY<NA>[숙박시설] 당일 15:00 ~ 익일 12:00 [일일개장] 0:00 ~ 18:00 [객실] 25개 [야영장] 55개19:03.051:20.0N<NA><NA><NA><NA><NA><NA><NA><NA><NA>
91T00301119:45.0<NA>1181T00200018:30.0<NA>1361ONY47:34.0<NA>101방태산자연휴양림사립휴양림자연휴양림등록50<NA><NA>24656강원도 인제군 기린면방태산길 241 방태산자연휴양림3333463173첨부서류 참조<NA>002000<NA>FILE_00000000003077026:28.0승인<NA>완료26:28.026:28.0YYY26:28.0<NA>69대표담당자20:35.0<NA>521삼봉약수터에서 가칠봉정상으로 이어지는 2km와 3km코스로 나누어 이용할 수 있으며,총 5km의 등산로를 이용하게 되면 약 3시간 가량의 등산을 즐길 수 있다. 2명의 숲해설가가 오전과 오후 2회 숲해설을 실시 하고 있으며 체험프로그램도 병행하여 운영하고 있다.120생거진천자연휴양림공립휴양림자연휴양림697800:00.0충북27822충청북도 진천군 백곡면명암길 435-135 생거진천자연휴양림4343537549숙박시설(산림문화휴양관 12실, 연립동 2실, 숲속의 집 6동), 편익시설(족구장, 주차장), 안전시설(사방댐, 화재경보기, CCTV)<NA>003000020:35.038:06.0NNY96<NA><NA><NA><NA><NA><NA><NA>20:07.0<NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA>
일련번호(SEQ)인력구분(WORKER_TYPE)인력기준_산림치유지도사 1급(PRO_FORE_HEAL_LV1)인력기준_산림치유지도사 2급(PRO_FORE_HEAL_LV2)인력기준_숲해설가(PRO_FORE_EXPL)인력기준_유아숲지도사(PRO_CHILD_FORE)인력기준_숲길체험지도사(PRO_FORE_ROAD_EXP)인력기준_상근관리자(PRO_EMP_MNGR)등록일자(INPUT_DT)수정일자(UPDATE_DT)시설코드(USE_FACILITY_CD)일련번호(SEQ).1인력구분(WORKER_TYPE).1인력기준_산림치유지도사 1급(PRO_FORE_HEAL_LV1).1인력기준_산림치유지도사 2급(PRO_FORE_HEAL_LV2).1인력기준_숲해설가(PRO_FORE_EXPL).1인력기준_유아숲지도사(PRO_CHILD_FORE).1인력기준_숲길체험지도사(PRO_FORE_ROAD_EXP).1인력기준_상근관리자(PRO_EMP_MNGR).1등록일자(INPUT_DT).1수정일자(UPDATE_DT).1시설코드(USE_FACILITY_CD).1일련번호(SEQ).2가맹점 타입(STORE_TYPE)사용여부(USE_YN)등록일자(INPUT_DT).2수정일자(UPDATE_DT).2시설코드(USE_FACILITY_CD).2시설명(USE_FACILITY_NM)시설구분 (1:국립, 2:일반)(USE_FACILITY_GB)시설종류 (K015)(USE_FACILITY_KIND)신청서 구분 (K016)(REQ_GB)시설그룹 코드(GROUP_CD)서비스제공자 등록번호(REG_CERT_NO)서비스제공자 등록일자(REG_CERT_DT)우편번호(ZIP_NO)주소(ADDR)상세주소(DETAIL_ADDR)시설전화번호1(AREA_TEL_NO)시설팩스번호1(AREA_FAX_NO)시설팩스번호2(MID_FAX_NO)시설팩스번호3(END_FAX_NO)시설기준(FACILITY_STND)인력기준(WORKER_STND)인력기준_산림치유지도사 1급(PRO_FORE_HEAL_LV1).2인력기준_산림치유지도사 2급(PRO_FORE_HEAL_LV2).2인력기준_숲해설가(PRO_FORE_EXPL).2인력기준_유아숲지도사(PRO_CHILD_FORE).2인력기준_숲길체험지도사(PRO_FORE_ROAD_EXP).2인력기준_상근관리자(PRO_EMP_MNGR).2재발급 신청 사유 (K023)(REISSUE_REASON)첨부파일(ATCH_FILE_ID)신청일자(REQ_DT)신청상태 (K017)(REQ_STS)신청상태사유(STS_REASON)접수상태 (K018)(RCPT_STS)접수일자(RCPT_DT)처리일자(APRV_DT)개인정보 수집/이용 동의(PRIVATE_USE_AGREE)개인정보 처리 동의(PRIVATE_PROC_AGREE)산림복지서비스 현황 정보의 공개 동의(FOWI_PUBLIC_AGREE)등록일자(INPUT_DT).3수정일자(UPDATE_DT).3시설그룹 코드(GROUP_CD).1담당자 구분 (K019)(MNG_GB)등록일자(INPUT_DT).4수정일자(UPDATE_DT).4시설코드(USE_FACILITY_CD).3프로그램 번호(PROGRAM_NO)프로그램소개(PROGRAM_INTRO)시설코드(USE_FACILITY_CD).4시설명(USE_FACILITY_NM).1시설구분 (1:국립, 2:일반)(USE_FACILITY_GB)시설종류 (K015)(USE_FACILITY_KIND).1시설그룹 코드(GROUP_CD).2서비스제공자 등록번호(REG_CERT_NO).1서비스제공자 등록일자(REG_CERT_DT).1지역코드 (K021)(AREA_CD)우편번호(ZIP_NO).1주소(ADDR).1상세주소(DETAIL_ADDR).1시설전화번호1(AREA_TEL_NO).1시설팩스번호1(AREA_FAX_NO).1시설팩스번호2(MID_FAX_NO).1시설팩스번호3(END_FAX_NO).1시설기준(FACILITY_STND).1인력기준(WORKER_STND).1인력기준_산림치유지도사 1급(PRO_FORE_HEAL_LV1).3인력기준_산림치유지도사 2급(PRO_FORE_HEAL_LV2).3인력기준_숲해설가(PRO_FORE_EXPL).3인력기준_유아숲지도사(PRO_CHILD_FORE).3인력기준_숲길체험지도사(PRO_FORE_ROAD_EXP).3인력기준_상근관리자(PRO_EMP_MNGR).3제공실적(OFFER_RECORD)등록일자(INPUT_DT).5수정일자(UPDATE_DT).5등록취소 여부(DEL_YN)이용희망시설 노출 여부(USE_FACILITY_YN)페이지 공개여부(VIEW_YN)시설코드(USE_FACILITY_CD).5시설소개(FACILITY_INTRO)시설 홈페이지(URL)시설연락처1(AREA_TEL_NO)숙박가능여부(ROOM_YN)프로그램여부(PROGRAM_YN)식사가능여부_사용안함(MEAL_YN)숙박소개(ROOM_INTRO)등록일자(INPUT_DT).6수정일자(UPDATE_DT).6삭제여부(DEL_YN)삭제사유(DEL_REASON)식당가능여부(RESTAURANT_YN)취사가능여부(COOK_YN)시설코드(USE_FACILITY_CD).6순번(SEQ)행정처분 코드 (K025)(ADMIN_DISP_CD)행정처분일(ADMIN_DISP_DT)행정처분 종료일(ADMIN_DISP_END_DT)행정처분 사유(ADMIN_DISP_REASON)
893<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3741<NA>Y45:19.0<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><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>
894<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3013<NA>Y03:55.0<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><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>
895<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3093<NA>Y06:00.0<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><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>
896<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3694<NA>Y22:34.0<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><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>
897<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3951<NA>Y57:41.0<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><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>
898<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2861OFFY53:03.053:41.0<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><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>
899<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2841OFFY55:41.056:00.0<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><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>
900<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2821OFFY58:09.058:26.0<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><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>
901<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2673<NA>Y09:49.0<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><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>
902<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>156<NA>Y17:19.0<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><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>