A Visual Guide to Stata Graphics
Опис
A Visual Guide to Stata Graphics By Mitchell, Michael N. Published by Taylor & Francis Publication Date: 2022-02-01 Subject: Computer Science, Probability And Statistics, Information Technology: General Topics, Probability & Statistics, Information Technology - General Issues, Computers Mathematical & Statistical Software, Computers, Mathematical & Statistical Software, Computers Data Science Data Visualization, Data Science, Data Visualization, Computers Software Development & Engineering Computer Graphics, Software Development & Engineering, Computer Graphics, Computers Educational Software, Educational Software, Mathematics Probability & Statistics General, Mathematics, Probability & Statistics, General, Types Of Stata Graphs;Bar Graphs;Graph Editor Versus Stata Commands;Twoway Graphs;Scatterplot Matrix Graphs, Computers Data Science Data Visualization, Computers Educational Software, Computers Mathematical & Statistical Software, Computers Software Development & Engineering Computer Graphics, Computers Data Science - Data Visualization, Computers Educational Software, Computers Mathematical & Statistical Software, Computers Software Development & Engineering - Computer Graphics, Mathematics Probability & Statistics General, Mathematics Probability & Statistics - General, Information Technology - General Issues, Information Technology: General Issues, Mathematical & Statistical Software, Probability & Statistics, Computer Science, Information Technology: General Topics, Mathematical And Statistical Software, Probability And Statistics Subject Keywords: Types of Stata graphs; Bar graphs; Graph Editor versus Stata commands; Twoway graphs; Scatterplot matrix graphs, Types of Stata graphs;Bar graphs;Graph Editor versus Stata commands;Twoway graphs;Scatterplot matrix graphs Genre: Computer Science, Probability And Statistics, Information Technology: General Topics, Computer Science, Probability & Statistics, Information Technology - General Issues, Computers, Mathematical & Statistical Software, Computers, Data Science, Data Visualization, Computers, Software Development & Engineering, Computer Graphics, Computers, Educational Software, Mathematics, Probability & Statistics, General Target Audience: Tertiary education
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