author | bhanu |
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% Created 2010-11-11 Thu 01:35 |
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\documentclass[presentation]{beamer} |
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\usepackage[latin1]{inputenc} |
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\usepackage[T1]{fontenc} |
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\usepackage{fixltx2e} |
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\usepackage{graphicx} |
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\usepackage{longtable} |
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\usepackage{float} |
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\usepackage{wrapfig} |
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\usepackage{soul} |
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\usepackage{t1enc} |
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\usepackage{textcomp} |
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\usepackage{marvosym} |
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\usepackage{wasysym} |
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\usepackage{latexsym} |
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\usepackage{amssymb} |
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\usepackage{hyperref} |
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\tolerance=1000 |
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\usepackage[english]{babel} \usepackage{ae,aecompl} |
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\usepackage{mathpazo,courier,euler} \usepackage[scaled=.95]{helvet} |
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\usepackage{listings} |
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\lstset{language=Python, basicstyle=\ttfamily\bfseries, |
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commentstyle=\color{red}\itshape, stringstyle=\color{darkgreen}, |
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showstringspaces=false, keywordstyle=\color{blue}\bfseries} |
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\providecommand{\alert}[1]{\textbf{#1}} |
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\title{Statistics} |
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\author{FOSSEE} |
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\date{11 November 2010} |
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\usetheme{Warsaw}\usecolortheme{default}\useoutertheme{infolines}\setbeamercovered{transparent} |
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\begin{document} |
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\maketitle |
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\begin{frame} |
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\frametitle{Outline} |
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\label{sec-1} |
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\begin{itemize} |
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\item Doing statistical operations in Python |
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\begin{itemize} |
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\item Summing set of numbers |
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\item Finding there mean |
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\item Finding there Median |
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\item Finding there Standard Deviation |
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\end{itemize} |
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\end{itemize} |
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\end{frame} |
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\begin{frame} |
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\frametitle{Data set} |
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\label{sec-2} |
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\begin{itemize} |
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\item A;015163;JOSEPH RAJ S;083;042;47;00;72;244;;; |
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\end{itemize} |
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The following are the fields in any given line. |
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\begin{itemize} |
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\item Region Code which is `A' |
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\item Roll Number 015163 |
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\item Name JOSEPH RAJ S |
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\item Marks of 5 subjects: -- English 083 -- |
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Hindi 042 -- Maths 47 -- |
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Science 35 -- Social 72 |
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\item Total marks 244 |
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\end{itemize} |
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\end{frame} |
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\begin{frame} |
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\frametitle{Question} |
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\label{sec-3} |
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\begin{itemize} |
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\item In the given file football.txt at path /home/fossee/football.txt , |
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one column is player name,second is goals at home |
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and third goals away. |
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\begin{itemize} |
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\item Find the total goals for each player |
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\item Mean home and away goals |
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\item Standard deviation of home and away goals |
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\end{itemize} |
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\end{itemize} |
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\end{frame} |
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\begin{frame}[fragile] |
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\frametitle{Solution} |
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\label{sec-4} |
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\begin{verbatim} |
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L=loadtxt('/home/amit/football.txt',usecols=(1,2), |
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delimiter=',') |
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sum(L,1) |
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mean(L,0) |
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std(L,0) |
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\end{verbatim} |
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\end{frame} |
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\begin{frame} |
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\frametitle{Summary} |
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\label{sec-5} |
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\begin{itemize} |
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\item sum |
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\item mean |
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\item median |
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\item std |
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\end{itemize} |
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\end{frame} |
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\end{document} |