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(쉽게 클릭해서 한번에 만드는! 데이터랑 놀자) R 데이터 시각화: 응용·심화편

저자
김지형
청구기호
519.50285 R데2019
발행사항
서울 : 북앤에듀, 2019
형태사항
686 p. +
ISBN
9791155901250
소장정보
위치등록번호청구기호 / 출력상태반납예정일
이용 가능 (1)
한국노동연구원20004482대출가능-
이용 가능 (1)
  • 등록번호
    20004482
    상태/반납예정일
    대출가능
    -
    위치/청구기호(출력)
    한국노동연구원
목차
PART 1. 일러두기 1-1. 사용법 1-2. 개선점 1-3. CSV 파일로 저장하기 1-4. 연결되지 않을 때 PART 2. 단순한 변수 2-1. 1D line Plot 2-2. 1D Group Plot 2-3. Stem and Leaf Plot 2-4. Histogram and Q-Q plot 2-5. Rootograms 2-6. Cloud Rain Plot 2-7. Rain Bowl Plot 2-8. Beeswarm, Stripchart* 2-9. Violins for explorers* 2-10. Raw Means Plot 2-11. Pyramid Chart (II) 2-12. Pyramid Chart (III) 2-13. Pyramid and Likert Chart 2-14. Waterfall Chart(II) 2-15. Waterfall Chart(III) 2-16. Symbol bar Chart 2-17. Pareto Plot 2-18. Gap Plot 2-19. Circular Barplot 2-20. Radial Plot 2-21. Pie and Fan 2-22. Fan chart 2-23. Spie Chart* 2-24. Iceburg Plot* 2-25. Castle Plot* 2-26. Mosaic Slope Chart 2-27. Multi 2x2 Plot 2-28. Packed Circles Plot(II) 2-29. Gauges 2-30. Segmental Plot 2-31. Comparative Line Plot 2-32. Line chart with xspline 2-33. Dynamic line chart 2-34. Ribbon Plot 2-35. 3D Area plot 2-36. 3D Plot(II) 2-37. CD Plot & Spinogram 2-38. Binary Logit Plot 2-39. Scattered Letters plot 2-40. Labeled Scatter Plot 2-41. Sunflower Scatter Plot 2-42. Size Scatter Plot 2-43. Matrix Square Plot 2-44. Zoom in Plot(I) 2-45. Zoom-in Plot(II) PART 3. 다양한 변수 3-1. Matrix Correlations(II)* 3-2. 3D Scatter plot(III) 3-3. Matrix bubble plot(II) 3-4. Matrix Bar Chart 3-5. Conditioning Plot 3-6. Facet Chart 3-7. Table plot 3-8. Clustered Heatmap(I) 3-9. Clustered Heatmap(II) 3-10. Tanglegram 3-11. Find Dendrogram 3-12. Size Tree Plot 3-13. Item Cluster Analysis 3-14. Decision Tree 3-15. One Node Network 3-16. Complex Relationship plot(II) 3-17. Network Line plot 3-18. Network Plot 3-19. BioFabric Plot 3-20. Structural Chart PART 4. 지도 4-1. World Map(I) 4-2. World Map(II) 4-3. Regional Map(I) 4-4. Regional Map(II) 4-5. Pinned Map 4-6. Map with dot and line(II) 4-7. Map and Pie Chart(I) 4-8. Map and Pie Chart(II) 4-9. Tile Map 4-10. Tile Map(II) PART 5. 시간과 관련된 차트 5-1. Slope Chart(I) 5-2. Slope Chart(II) 5-3. Timeline(II) 5-4. Pollen Diagram 5-5. Feather plot 5-6. Spaghetti plot(II) 5-7. Epidemic Curve 5-8. Smoke Plot 5-9. Horizon Plot(II) 5-10. Time related Plots 5-11. Forecast 5-12. Intervention-Analysis* 5-13. Changepoint Line Chart* 5-14. Change-Points Estimation* 5-15. Autocorrelation* 5-16. Imputed Time-Series 5-17. Dissemination Ratio 5-18. Lexis Diagram PART 6. 통계와 차트 6-1. Plot with Significance 6-2. Multifactor ANOVA Plot* 6-3. Variance Plot* 6-4. ANCOVA plot* 6-5. Residual Plots for linear M 6-6. Generalized LM* 6-7. Calibration Plot 6-8. Classifier plot 6-9. Prediction from LR 6-10. ROC from LR 6-11. Dose-response curve* 6-12. Coefficients Plot* 6-13. 2D HE Plot* 6-14. OR and HR plot(II) 6-15. Cox/Logistic Nomogram 6-16. HD Cox Nomogram 6-17. Tukey Ladder of Powers 6-18. Agreement Plot 6-19. Adverse Events plot PART 7. 그외의 차트 7-1. Ternary Diagrams(I) 7-2. Ternary Diagrams(II) 7-3. Soil Diagrams 7-4. Pedigree Chart 7-5. Random Forest 7-6. Nation Flag Table 7-7. Nation scatter plot 7-8. Nation Bar/Scatter plot 7-9. Dynamic Treemap 7-10. TreeMap(II) 7-11. Waffle Plot(II) 7-12. Sunburst Plot(II) 7-13. Voronoi Diagram(I) 7-14. Voronoi Diagram(II) 7-15. Voronoi and Delaunay 7-16. Lorenz Curve 7-17. Combination Plot 7-18. 3D Densitogram 7-19. Gradation Color Plot 7-20. Cause Effect Diagram 7-21. Named Colors PART 8. 반응형 차트 8-1. Motion Chart 8-2. Timeline(III) 8-3. Calendar Chart(II) 8-4. Org Chart 8-5. Sankey Chart 8-6. Step Chart(II) 8-7. Carpet Plot 공지