데이터 시각화
트랜드, 특이점, 패턴을 분석하기 위한 시각화
- Comparision and Ranking
- Part to Whole
- Trend
- Correlation
- Distribution
Comparision and Ranking
Column chart - vertical (Bar chart-horizontal )
: Comparision among different items 비교와 순위
Dual Axis chart
: plot data using two y-axes and a shared x-axis
Pareto chart : highlight the most importatnt among a set of factors (typically large)
Part to whole
Pie chart *
: static number and how categories represent part of a whole
특정 포지션을 집중적으로 볼 수 있음
Trend
Line graph 추세
: reveals trends or progress over time and can be used to show many different categories of data
Correlation 연관성
Scatter plot chart 산포도
: will show the relationship between two different variables or it can reveal the distribution trends
Bubble chart
: variation of a scatter chart in which an additional data is represented in the size of the bubbles
특정 지점의 크기를 달리해 보여줌 > 연관관계 및 빈도수 시각화 가능 - BCG Matrix
Heatmap
: shows the relationship between two items and provides rating information, such as high to low or poor or excellent
Distribution
Histogram
: Groups numeric data into bins, displaying the bins as segmented columns ( pareto is also part of histogram )
Box plot
: displays the five-number summary of a set of data. The five-number summary is the minimum, first quartile ( top 25% ), median, third quatile ( top 75% ), and maximum > 단순 평균보다 분포도를 더 쉽게 알 수 있음
Geo chart
: made explore location based distributed data
분포데이터를 지도상에 표기 ( 지역 사용자 등 )