Inserting a normal bar chart you get the data below. You can now control where the axes intersect each other. Make the appropriate settings and click OK. should they be used as titles/headings/labels in the chart or are they actual data. You'll be prompted to say whether the first row and column are labels, i.e. Select the cells and drag them onto the chart. If you just want to change the data a chart is based on, you can drag. You can just look at it, or change it and click OK. If you don't see anything highlighted you can right-click on the chart and choose Data Ranges. The person who created it didn't have the courtesy to even use the headings of the data in the chart so you've got no info about what the info is.ĭouble-click the chart and you'll see, highlighted, the cells the chart is from. But what if there's a whole bunch of different data sets in the sheet if there are many sheets in the spreadsheet or if you just got a spreadsheet from someone who left the company to go teach yoga in Aruba and you have no idea what the spreadsheet is about? Softw.If you create your own chart, you can usually remember what data it came from. P. Schretlen, N. Kronenfeld, D. Gray, J. McGeachie, E. Hall, D. Cheng, N. Covello, W. Wright, in Proceedings of the IEEE VIS (2013) 1(2), 69 (1985)Ī. Inselberg, Parallel Coordinates: Visual Multidimensional Geometry and Its Applications, vol. 20 (Springer Science & Business Media, 2009)ĭ. Ø. Hammer, PAST–Palaeontological Statistics, (University of Oslo, Oslo, Norway, 2020). Liiv, Statistical analysis and data mining: the ASA. H. Späth, Cluster Analysis Algorithms for Data Reduction and Classification of Objects (Chichester, UK, Ellis Horwood 1980) I. Liiv, Pattern Discovery Using Seriation and Matrix Reordering: A Unified View, Extensions and an Application to Inventory Management (TUT Press Tallinn, 2008)

Scott)(Walter de Gruyter, New York, Berlin, 1981)

Bertin, Graphics and graphic information processing (translated by W. R. Amar, J. Eagan, J. Stasko, in IEEE Symposium on Information Visualization, 2005. Stasko, Proceedings of the Fifth Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization (2014), pp.

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