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Visualizing and Inspecting Large Datasets with Tableplots

並列摘要


More and more researchers study large data sources. Solely through their size alone, getting insight into the data in these sources is difficult. A visualization method, commonly referred to as a tableplot, was found extremely useful for this purpose. A tableplot is a method that is able to display the aggregated distribution patterns of a dozen of variables in one single figure. We demonstrate that information on data quality and the presence and selectivity of missing data is obtained. In our opinion, the tableplot is an very valuable addition to the standard set of statistical tools commonly used for data exploration, processing, and analysis. A tool to create tableplots has been implemented as a package for the open source statistical software environment R and made publically available.

被引用紀錄


Hsiao, C. L. (2010). Role of amino acid residues (Lys)305 and (Arg)306 of tumor suppressor p53 in nucleotide excision repair of UVC-induced DNA lesion [master's thesis, National Tsing Hua University]. Airiti Library. https://doi.org/10.6843/NTHU.2010.00168
Lim, K. M. (2015). 應用於光子晶體之熱輻射特性變化 [master's thesis, National Chiao Tung University]. Airiti Library. https://doi.org/10.6842/NCTU.2015.00511
Hong, H. (2016). 在外骨骼復健機器人上實現的環形運動療程 [master's thesis, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU201601282
Chang, F. W. (2007). 以具恰當邊界條件匹配處理之有限差分頻域法分析光波導 [master's thesis, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU.2007.01573
徐豪汶(2006)。鍺銻碲相變化奈米薄膜之奈米尺度光熱性質的研究〔碩士論文,國立中央大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0031-0207200917340264

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