Computer scientists and agricultural scientists have been developing software solutions to handle data of various experiments. Most of the time, these developments were bound to specific applications only. Unfortunately, the ever increasing number of available tools and the diversity of communication means within the scientific community, make it difficult for the non-specialists to find the most appropriate solution for their analyses.
For analysis, you can try R or SAS software, but for graph you can try SAS-JMP or sigma plot.
Prosanta, R makes great graphs as well as analyses. You can use a variety of packages such as base R graphing, Lattice package, ggplot2 package, and plotly. Plotly makes interactive graphs so you can zoom in on the figures which is quite useful when you want to focus on mass spectrometry peaks that you can barely see.
Generally, what matters is your objective and software capability. Otherwise, R, Eviews, Stata, handle huge data sets and can generate very interesting graphs of all sorts.
firstly we should define which is a good graph....Good graph is self-explanatory, clear, crisp and simple which should be understood by all readers including people of other fields. Use whatever software you like, but make a good graph according to this definition.
The software Statistica is good for such analysis. Depending on the kind of analysis, it is also capable of generating graphs. You may also use the software for your analysis and then use Excel for your graphs.
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