Overview

Dataset statistics

Number of variables7
Number of observations134
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.8 KiB
Average record size in memory60.0 B

Variable types

Numeric3
Categorical2
Text2

Dataset

Description금연길라잡이에서 보유하고 있는 흡연 및 금연 관련 정보 컨텐츠입니다. 게시판 번호, 제목, 자료 수, 조회수의 정보를 확인 할 수 있습니다.
Author국립암센터
URLhttps://www.data.go.kr/data/3039566/fileData.do

Alerts

게시판 번호 is highly overall correlated with 조회수High correlation
자료수 is highly overall correlated with 게시판 분류 High correlation
조회수 is highly overall correlated with 게시판 번호High correlation
게시판 분류 is highly overall correlated with 자료수High correlation
게시판 번호 has unique valuesUnique
조회수 has unique valuesUnique
키워드 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:03:46.501149
Analysis finished2023-12-12 00:03:48.056745
Duration1.56 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

게시판 번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct134
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69776.649
Minimum109
Maximum780272
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T09:03:48.132925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum109
5-th percentile120.65
Q1229.25
median262.5
Q3323.75
95-th percentile777418.35
Maximum780272
Range780163
Interquartile range (IQR)94.5

Descriptive statistics

Standard deviation222495.9
Coefficient of variation (CV)3.188687
Kurtosis6.5522204
Mean69776.649
Median Absolute Deviation (MAD)35
Skewness2.9076454
Sum9350071
Variance4.9504424 × 1010
MonotonicityNot monotonic
2023-12-12T09:03:48.277480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
260 1
 
0.7%
334 1
 
0.7%
257 1
 
0.7%
256 1
 
0.7%
255 1
 
0.7%
323 1
 
0.7%
119 1
 
0.7%
349 1
 
0.7%
288 1
 
0.7%
249 1
 
0.7%
Other values (124) 124
92.5%
ValueCountFrequency (%)
109 1
0.7%
115 1
0.7%
116 1
0.7%
117 1
0.7%
118 1
0.7%
119 1
0.7%
120 1
0.7%
121 1
0.7%
122 1
0.7%
204 1
0.7%
ValueCountFrequency (%)
780272 1
0.7%
779262 1
0.7%
779261 1
0.7%
778701 1
0.7%
778326 1
0.7%
777587 1
0.7%
777419 1
0.7%
777418 1
0.7%
776799 1
0.7%
771194 1
0.7%

게시판 분류
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
지식플러스>흡연의 위험성
53 
지식플러스>금연성공비법
31 
지식플러스>금연정책
22 
지식플러스>기타
15 
지식+>흡연통계 및 현황
8 

Length

Max length13
Median length12
Mean length11.716418
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row지식플러스>기타
2nd row지식플러스>금연성공비법
3rd row지식플러스>금연정책
4th row지식플러스>흡연의 위험성
5th row지식플러스>흡연의 위험성

Common Values

ValueCountFrequency (%)
지식플러스>흡연의 위험성 53
39.6%
지식플러스>금연성공비법 31
23.1%
지식플러스>금연정책 22
16.4%
지식플러스>기타 15
 
11.2%
지식+>흡연통계 및 현황 8
 
6.0%
지식플러스>금연의 필요성 5
 
3.7%

Length

2023-12-12T09:03:48.438473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:03:48.554768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지식플러스>흡연의 53
25.5%
위험성 53
25.5%
지식플러스>금연성공비법 31
14.9%
지식플러스>금연정책 22
10.6%
지식플러스>기타 15
 
7.2%
지식+>흡연통계 8
 
3.8%
및 8
 
3.8%
현황 8
 
3.8%
지식플러스>금연의 5
 
2.4%
필요성 5
 
2.4%

제목
Text

Distinct131
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T09:03:48.843975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length23
Mean length10.037313
Min length2

Characters and Unicode

Total characters1345
Distinct characters288
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique128 ?
Unique (%)95.5%

Sample

1st row담배의 종류_다양한 니코틴 전달물질
2nd row감연법/단연법
3rd row담배제품불법거래 근절 의정서
4th row니코틴 중독과 갈망
5th row여성 흡연이 남성 흡연보다 왜 나쁜가?
ValueCountFrequency (%)
및 8
 
2.5%
담배의 7
 
2.2%
금연과 5
 
1.6%
니코틴 5
 
1.6%
담배회사의 5
 
1.6%
흡연 4
 
1.3%
스트레스 3
 
0.9%
간접흡연 3
 
0.9%
조기 3
 
0.9%
국내 3
 
0.9%
Other values (231) 272
85.5%
2023-12-12T09:03:49.577317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
184
 
13.7%
연 53
 
3.9%
담 33
 
2.5%
배 31
 
2.3%
흡 31
 
2.3%
, 24
 
1.8%
금 23
 
1.7%
기 22
 
1.6%
의 19
 
1.4%
성 17
 
1.3%
Other values (278) 908
67.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1067
79.3%
Space Separator 184
 
13.7%
Other Punctuation 32
 
2.4%
Connector Punctuation 15
 
1.1%
Lowercase Letter 14
 
1.0%
Open Punctuation 11
 
0.8%
Close Punctuation 11
 
0.8%
Uppercase Letter 10
 
0.7%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
연 53
 
5.0%
담 33
 
3.1%
배 31
 
2.9%
흡 31
 
2.9%
금 23
 
2.2%
기 22
 
2.1%
의 19
 
1.8%
성 17
 
1.6%
사 15
 
1.4%
스 14
 
1.3%
Other values (250) 809
75.8%
Lowercase Letter
ValueCountFrequency (%)
a 2
14.3%
c 2
14.3%
o 2
14.3%
m 1
7.1%
b 1
7.1%
n 1
7.1%
d 1
7.1%
g 1
7.1%
e 1
7.1%
s 1
7.1%
Uppercase Letter
ValueCountFrequency (%)
C 3
30.0%
T 2
20.0%
E 1
 
10.0%
O 1
 
10.0%
P 1
 
10.0%
F 1
 
10.0%
D 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 24
75.0%
? 3
 
9.4%
: 2
 
6.2%
/ 2
 
6.2%
· 1
 
3.1%
Space Separator
ValueCountFrequency (%)
184
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1067
79.3%
Common 254
 
18.9%
Latin 24
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
연 53
 
5.0%
담 33
 
3.1%
배 31
 
2.9%
흡 31
 
2.9%
금 23
 
2.2%
기 22
 
2.1%
의 19
 
1.8%
성 17
 
1.6%
사 15
 
1.4%
스 14
 
1.3%
Other values (250) 809
75.8%
Latin
ValueCountFrequency (%)
C 3
 
12.5%
a 2
 
8.3%
c 2
 
8.3%
o 2
 
8.3%
T 2
 
8.3%
m 1
 
4.2%
b 1
 
4.2%
E 1
 
4.2%
n 1
 
4.2%
d 1
 
4.2%
Other values (8) 8
33.3%
Common
ValueCountFrequency (%)
184
72.4%
, 24
 
9.4%
_ 15
 
5.9%
( 11
 
4.3%
) 11
 
4.3%
? 3
 
1.2%
: 2
 
0.8%
/ 2
 
0.8%
3 1
 
0.4%
· 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1067
79.3%
ASCII 277
 
20.6%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
184
66.4%
, 24
 
8.7%
_ 15
 
5.4%
( 11
 
4.0%
) 11
 
4.0%
? 3
 
1.1%
C 3
 
1.1%
: 2
 
0.7%
a 2
 
0.7%
c 2
 
0.7%
Other values (17) 20
 
7.2%
Hangul
ValueCountFrequency (%)
연 53
 
5.0%
담 33
 
3.1%
배 31
 
2.9%
흡 31
 
2.9%
금 23
 
2.2%
기 22
 
2.1%
의 19
 
1.8%
성 17
 
1.6%
사 15
 
1.4%
스 14
 
1.3%
Other values (250) 809
75.8%
None
ValueCountFrequency (%)
· 1
100.0%

자료수
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.574627
Minimum6
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T09:03:49.740754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile9
Q126
median27
Q334.75
95-th percentile41
Maximum61
Range55
Interquartile range (IQR)8.75

Descriptive statistics

Standard deviation8.5544491
Coefficient of variation (CV)0.29937221
Kurtosis1.8767144
Mean28.574627
Median Absolute Deviation (MAD)4
Skewness-0.10188942
Sum3829
Variance73.178599
MonotonicityNot monotonic
2023-12-12T09:03:49.884744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
27 42
31.3%
41 15
 
11.2%
22 8
 
6.0%
26 8
 
6.0%
23 6
 
4.5%
21 5
 
3.7%
37 5
 
3.7%
28 5
 
3.7%
29 4
 
3.0%
40 4
 
3.0%
Other values (15) 32
23.9%
ValueCountFrequency (%)
6 3
 
2.2%
7 3
 
2.2%
9 2
 
1.5%
21 5
 
3.7%
22 8
 
6.0%
23 6
 
4.5%
24 3
 
2.2%
25 3
 
2.2%
26 8
 
6.0%
27 42
31.3%
ValueCountFrequency (%)
61 1
 
0.7%
41 15
11.2%
40 4
 
3.0%
39 2
 
1.5%
38 1
 
0.7%
37 5
 
3.7%
36 3
 
2.2%
35 3
 
2.2%
34 2
 
1.5%
33 1
 
0.7%

조회수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct134
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69776.649
Minimum109
Maximum780272
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T09:03:50.030869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum109
5-th percentile120.65
Q1229.25
median262.5
Q3323.75
95-th percentile777418.35
Maximum780272
Range780163
Interquartile range (IQR)94.5

Descriptive statistics

Standard deviation222495.9
Coefficient of variation (CV)3.188687
Kurtosis6.5522204
Mean69776.649
Median Absolute Deviation (MAD)35
Skewness2.9076454
Sum9350071
Variance4.9504424 × 1010
MonotonicityNot monotonic
2023-12-12T09:03:50.209817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
260 1
 
0.7%
334 1
 
0.7%
257 1
 
0.7%
256 1
 
0.7%
255 1
 
0.7%
323 1
 
0.7%
119 1
 
0.7%
349 1
 
0.7%
288 1
 
0.7%
249 1
 
0.7%
Other values (124) 124
92.5%
ValueCountFrequency (%)
109 1
0.7%
115 1
0.7%
116 1
0.7%
117 1
0.7%
118 1
0.7%
119 1
0.7%
120 1
0.7%
121 1
0.7%
122 1
0.7%
204 1
0.7%
ValueCountFrequency (%)
780272 1
0.7%
779262 1
0.7%
779261 1
0.7%
778701 1
0.7%
778326 1
0.7%
777587 1
0.7%
777419 1
0.7%
777418 1
0.7%
776799 1
0.7%
771194 1
0.7%

키워드
Text

UNIQUE 

Distinct134
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T09:03:50.467984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length125
Median length74
Mean length54.567164
Min length6

Characters and Unicode

Total characters7312
Distinct characters421
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique134 ?
Unique (%)100.0%

Sample

1st row#니코틴, #니코틴패치와담배, #니코틴종류, #니코틴부작용
2nd row#감연법, #단연법, #내게맞는금연방법, #담배줄이기, #담배끊기, #감연방법
3rd row#담배규제기본협약, #FCTC, #불법거래근절, #의정서, #국외금연정책, #해외금연정책
4th row#흡연의위험성, #습관중독, #니코틴중독, #갈망, #공복감, #흡연습관, #흡연욕구
5th row#흡연의위험성, #흡연유형별영향, #여성흡연, #여성흡연의위해, #여성건강, #피암약, #생리주기, #생리불순, #조기폐경, #PMS, #생리전후증후군진단, #여성피해, #여성위해, #골다공증
ValueCountFrequency (%)
흡연의위험성 36
 
3.8%
흡연으로인한질병 35
 
3.7%
흡연피해 20
 
2.1%
흡연위해 20
 
2.1%
금연성공비법 18
 
1.9%
기타질병 12
 
1.3%
흡연과암 11
 
1.2%
암 9
 
0.9%
국외금연정책 8
 
0.8%
여성흡연위해 7
 
0.7%
Other values (611) 777
81.5%
2023-12-12T09:03:50.885927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
# 954
 
13.0%
827
 
11.3%
, 816
 
11.2%
연 384
 
5.3%
흡 231
 
3.2%
금 168
 
2.3%
성 125
 
1.7%
담 113
 
1.5%
배 107
 
1.5%
해 92
 
1.3%
Other values (411) 3495
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4636
63.4%
Other Punctuation 1772
 
24.2%
Space Separator 827
 
11.3%
Uppercase Letter 32
 
0.4%
Decimal Number 25
 
0.3%
Lowercase Letter 17
 
0.2%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
연 384
 
8.3%
흡 231
 
5.0%
금 168
 
3.6%
성 125
 
2.7%
담 113
 
2.4%
배 107
 
2.3%
해 92
 
2.0%
위 90
 
1.9%
질 81
 
1.7%
의 73
 
1.6%
Other values (372) 3172
68.4%
Uppercase Letter
ValueCountFrequency (%)
C 8
25.0%
T 4
12.5%
D 3
 
9.4%
F 3
 
9.4%
M 3
 
9.4%
I 2
 
6.2%
S 2
 
6.2%
P 2
 
6.2%
K 1
 
3.1%
G 1
 
3.1%
Other values (3) 3
 
9.4%
Lowercase Letter
ValueCountFrequency (%)
a 3
17.6%
g 2
11.8%
n 2
11.8%
i 2
11.8%
p 1
 
5.9%
c 1
 
5.9%
k 1
 
5.9%
d 1
 
5.9%
s 1
 
5.9%
m 1
 
5.9%
Other values (2) 2
11.8%
Decimal Number
ValueCountFrequency (%)
4 6
24.0%
0 5
20.0%
1 3
12.0%
3 3
12.0%
2 3
12.0%
9 2
 
8.0%
5 2
 
8.0%
6 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
# 954
53.8%
, 816
46.0%
. 1
 
0.1%
& 1
 
0.1%
Space Separator
ValueCountFrequency (%)
827
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4636
63.4%
Common 2627
35.9%
Latin 49
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
연 384
 
8.3%
흡 231
 
5.0%
금 168
 
3.6%
성 125
 
2.7%
담 113
 
2.4%
배 107
 
2.3%
해 92
 
2.0%
위 90
 
1.9%
질 81
 
1.7%
의 73
 
1.6%
Other values (372) 3172
68.4%
Latin
ValueCountFrequency (%)
C 8
16.3%
T 4
 
8.2%
D 3
 
6.1%
a 3
 
6.1%
F 3
 
6.1%
M 3
 
6.1%
I 2
 
4.1%
g 2
 
4.1%
n 2
 
4.1%
i 2
 
4.1%
Other values (15) 17
34.7%
Common
ValueCountFrequency (%)
# 954
36.3%
827
31.5%
, 816
31.1%
4 6
 
0.2%
0 5
 
0.2%
- 3
 
0.1%
1 3
 
0.1%
3 3
 
0.1%
2 3
 
0.1%
9 2
 
0.1%
Other values (4) 5
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4636
63.4%
ASCII 2676
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
# 954
35.7%
827
30.9%
, 816
30.5%
C 8
 
0.3%
4 6
 
0.2%
0 5
 
0.2%
T 4
 
0.1%
D 3
 
0.1%
- 3
 
0.1%
1 3
 
0.1%
Other values (29) 47
 
1.8%
Hangul
ValueCountFrequency (%)
연 384
 
8.3%
흡 231
 
5.0%
금 168
 
3.6%
성 125
 
2.7%
담 113
 
2.4%
배 107
 
2.3%
해 92
 
2.0%
위 90
 
1.9%
질 81
 
1.7%
의 73
 
1.6%
Other values (372) 3172
68.4%

속성여부
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
길잡이
96 
시스템
38 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
길잡이 96
71.6%
시스템 38
 
28.4%

Length

2023-12-12T09:03:51.011003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:03:51.102744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
길잡이 96
71.6%
시스템 38
 
28.4%

Interactions

2023-12-12T09:03:47.538931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:46.979660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:47.270282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:47.632564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:47.075995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:47.357421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:47.750751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:47.165763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:47.447726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:03:51.164368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
게시판 번호게시판 분류자료수조회수속성여부
게시판 번호1.0000.0000.0000.9970.665
게시판 분류0.0001.0000.9110.0000.586
자료수0.0000.9111.0000.0000.386
조회수0.9970.0000.0001.0000.665
속성여부0.6650.5860.3860.6651.000
2023-12-12T09:03:51.265762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
게시판 분류속성여부
게시판 분류1.0000.419
속성여부0.4191.000
2023-12-12T09:03:51.347557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
게시판 번호자료수조회수게시판 분류속성여부
게시판 번호1.0000.3041.0000.0000.463
자료수0.3041.0000.3040.7860.405
조회수1.0000.3041.0000.0000.463
게시판 분류0.0000.7860.0001.0000.419
속성여부0.4630.4050.4630.4191.000

Missing values

2023-12-12T09:03:47.881390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:03:48.013529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

게시판 번호게시판 분류제목자료수조회수키워드속성여부
0260지식플러스>기타담배의 종류_다양한 니코틴 전달물질41260#니코틴, #니코틴패치와담배, #니코틴종류, #니코틴부작용길잡이
1233지식플러스>금연성공비법감연법/단연법29233#감연법, #단연법, #내게맞는금연방법, #담배줄이기, #담배끊기, #감연방법길잡이
2219지식플러스>금연정책담배제품불법거래 근절 의정서24219#담배규제기본협약, #FCTC, #불법거래근절, #의정서, #국외금연정책, #해외금연정책길잡이
3269지식플러스>흡연의 위험성니코틴 중독과 갈망25269#흡연의위험성, #습관중독, #니코틴중독, #갈망, #공복감, #흡연습관, #흡연욕구길잡이
4270지식플러스>흡연의 위험성여성 흡연이 남성 흡연보다 왜 나쁜가?26270#흡연의위험성, #흡연유형별영향, #여성흡연, #여성흡연의위해, #여성건강, #피암약, #생리주기, #생리불순, #조기폐경, #PMS, #생리전후증후군진단, #여성피해, #여성위해, #골다공증길잡이
5271지식플러스>흡연의 위험성후두암27271#흡연의위험성, #흡연으로인한질병, #흡연과암, #후두암, #암, #움주, #흡연과음주길잡이
6272지식플러스>흡연의 위험성구강암, 인두암27272#흡연의위험성, #흡연으로인한질병, #흡연과암, #구강암, #인두암, #씹는담배, #무연담배위험, #무연담배위해, #담배피해, #담배위해길잡이
7273지식플러스>흡연의 위험성식도암27273#흡연의위험성, #흡연으로인한질병, #흡연과암, #암, #흡연피해, #흡연위해, #음주, #흡연과음주, #음주위해, #흡연위해, #흡연피해길잡이
8274지식플러스>흡연의 위험성위암27274#흡연의위험성, #흡연으로인한질병, #흡연과암, #위암, #암, #흡연피해, #흡연위해길잡이
9246지식플러스>금연성공비법음주와 흡연욕구36246#음주와흡연욕구, #금연성공비법, #음주원인, #흡연원인, #술과담배, #알코올, #술길잡이
게시판 번호게시판 분류제목자료수조회수키워드속성여부
124205지식플러스>금연정책모니터링 및 평가22205#흡연현황, #행태조사, #금연정책, #연구, #금연성공률, #금연시도율, #법이행여부감시, #모니터링길잡이
125780272지식플러스>금연성공비법금연과 음악치료_노래부르기40780272#금연노래, #음악치료, #음원, #노래부르기, #흡연욕구대처, #담배생각날때시스템
126779262지식플러스>흡연의 위험성층간흡연26779262#간접흡연, #베란다흡연, #아파트흡연, #공동주택, #층간흡연, #층간간접흡연시스템
127778701지식플러스>금연성공비법재흡연 시 대처법 그리고 재도전39778701#재흡연, #재도전, #금연성공비법, #금연실패, #한개비실수, #다시금연하기시스템
128779261지식플러스>흡연의 위험성담배 한 개비의 위험성27779261#저틴코틴담배, #저타르담배, #덜위해한담배, #담배적게피우기, #흡연량줄이기, #저감화담배, #담배위해, #담배위험성, #궐련형전자담배, #가열담배, #전자담배시스템
129777587지식플러스>금연의 필요성흡연, 운동 부족, 음주, 짠 음식 섭취에 따른 사망위험28777587#금연의필요성, #흡연위해, #흡연질병, #흡연의위험성, #사망률, #사망, #운동부족, #술, #음주, #고염, #짠음식시스템
130778326지식플러스>흡연의 위험성흡연과 치매27778326#치매, #정신건강, #기억력감소, #기억력저하, #알츠하이머, #주요신경인지장애시스템
131776799지식플러스>흡연의 위험성니코틴 중독이란?25776799#담배의존증, #담배사용장애, #니코틴의존증, #담배와질병, #국제질병분류, #ICD-10, #DSM, #니코틴중독증상, #금단증상시스템
132777418지식플러스>기타담배의 종류_가열담배(궐련형 전자담배)41777418#담배의종류, #가열담배, #궐련형전자담배, #신종담배, #아이코스, #글로, #릴시스템
133777419지식플러스>기타담배의 종류_니코틴 없는 전자담배, 전자식흡연욕구저하제41777419#니코틴없는전자담배, #니코틴미함유전자담배, #흡연욕구저하제, #전자식흡연욕구저하제, #비타민담배, #의약외품, #의약외품전자담배시스템