presentations/statistics.tex
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+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%Tutorial slides on Python.
+%
+% Author: FOSSEE 
+% Copyright (c) 2009, FOSSEE, IIT Bombay
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+\documentclass[14pt,compress]{beamer}
+%\documentclass[draft]{beamer}
+%\documentclass[compress,handout]{beamer}
+%\usepackage{pgfpages} 
+%\pgfpagesuselayout{2 on 1}[a4paper,border shrink=5mm]
+
+% Modified from: generic-ornate-15min-45min.de.tex
+\mode<presentation>
+{
+  \usetheme{Warsaw}
+  \useoutertheme{infolines}
+  \setbeamercovered{transparent}
+}
+
+\usepackage[english]{babel}
+\usepackage[latin1]{inputenc}
+%\usepackage{times}
+\usepackage[T1]{fontenc}
+
+% Taken from Fernando's slides.
+\usepackage{ae,aecompl}
+\usepackage{mathpazo,courier,euler}
+\usepackage[scaled=.95]{helvet}
+
+\definecolor{darkgreen}{rgb}{0,0.5,0}
+
+\usepackage{listings}
+\lstset{language=Python,
+    basicstyle=\ttfamily\bfseries,
+    commentstyle=\color{red}\itshape,
+  stringstyle=\color{darkgreen},
+  showstringspaces=false,
+  keywordstyle=\color{blue}\bfseries}
+
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+% Macros
+\setbeamercolor{emphbar}{bg=blue!20, fg=black}
+\newcommand{\emphbar}[1]
+{\begin{beamercolorbox}[rounded=true]{emphbar} 
+      {#1}
+ \end{beamercolorbox}
+}
+\newcounter{time}
+\setcounter{time}{0}
+\newcommand{\inctime}[1]{\addtocounter{time}{#1}{\tiny \thetime\ m}}
+
+\newcommand{\typ}[1]{\lstinline{#1}}
+
+\newcommand{\kwrd}[1]{ \texttt{\textbf{\color{blue}{#1}}}  }
+
+% Title page
+\title{Python for Scientific Computing : Large Scale Data Processing}
+
+\author[FOSSEE] {FOSSEE}
+
+\institute[IIT Bombay] {Department of Aerospace Engineering\\IIT Bombay}
+\date{}
+
+% DOCUMENT STARTS
+\begin{document}
+
+\begin{frame}
+  \maketitle
+\end{frame}
+
+\begin{frame}
+  \frametitle{About the Session}
+  \begin{block}{Goal}
+    We read and process large data file to solve a problem.
+  \end{block}
+  \begin{block}{Checklist}
+    \begin{itemize}
+    \item sslc.txt
+  \end{itemize}
+  \end{block}
+\end{frame}
+
+\begin{frame}
+  \frametitle{Structure of the file}
+  Understanding the structure of sslc1.txt
+  \begin{itemize}
+    \item Each line in the file has a student's details(record)
+    \item Each record consists of fields separated by ';'
+  \end{itemize}
+\emphbar{A;015162;JENIL T P;081;060;77;41;74;333;P;;}
+\end{frame}
+
+\begin{frame}
+  \frametitle{Structure of the file \ldots}
+\emphbar{A;015163;JOSEPH RAJ S;083;042;47;AA;72;244;;;}
+  Each record consists of:
+  \begin{itemize}
+    \item Region Code : 'A'
+    \item Roll Number : '015163'
+    \item Name : 'JOSEPH RAJ S'
+    \item Marks of 5 subjects: English(083), Hindi(042), Maths(47), Science(AA), Social(72)
+    \item Total marks : 244
+    \item Pass/Fail (P/F) : ''
+    \item Withheld (W) : ''
+  \end{itemize}
+\end{frame}
+
+\begin{frame}
+  \frametitle{Statistical Analysis: Problem statement}
+  1. Read the data supplied in the file \emph{sslc1.txt} and carry out the following:
+  \begin{block}{}
+    Draw a pie chart representing proportion of students who scored more than 90\% in each region in Science.    
+  \end{itemize}
+\end{frame}
+
+\begin{frame}
+  \frametitle{Problem statement: explanation}
+    \emphbar{Draw a pie chart representing proportion of students who scored more than 90\% in each region in Science.}
+    \begin{columns}
+    \column{5.25\textwidth}
+    \hspace*{.5in}
+    \includegraphics[height=2.6in, interpolate=true]{data/science}
+    \column{0.8\textwidth}
+\end{columns}
+\end{frame}
+
+\begin{frame}
+  \frametitle{Machinery Required}
+  \begin{itemize}
+    \item File reading
+    \item Parsing
+    \item Dictionaries 
+    \item Arrays
+    \item Statistical operations
+  \end{itemize}
+\end{frame}
+
+\begin{frame}[fragile]
+  \frametitle{Summary}
+  \begin{block}{lists}
+    \begin{itemize}
+    \item Creation.
+    \item Appending.
+    \item Iterating through list.
+    \end{itemize}
+  \end{block}
+  \begin{block}{Data processing}
+    \begin{itemize}
+    \item In form of lists.
+    \item Handling files.
+    \item for loops  
+    \end{itemize}  
+  \end{block}
+\end{frame}
+
+\begin{frame}
+  \frametitle{Thank you!}  
+  \begin{block}{}
+  This session is part of \textcolor{blue}{FOSSEE} project funded by:
+  \begin{center}
+    \textcolor{blue}{NME through ICT from MHRD, Govt. of India}.
+  \end{center}  
+  \end{block}
+\end{frame}
+
+\end{document}