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notebook.tex
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% Default to the notebook output style
% Inherit from the specified cell style.
\documentclass[11pt]{article}
\usepackage[T1]{fontenc}
% Nicer default font (+ math font) than Computer Modern for most use cases
\usepackage{mathpazo}
% Basic figure setup, for now with no caption control since it's done
% automatically by Pandoc (which extracts  syntax from Markdown).
\usepackage{graphicx}
% We will generate all images so they have a width \maxwidth. This means
% that they will get their normal width if they fit onto the page, but
% are scaled down if they would overflow the margins.
\makeatletter
\def\maxwidth{\ifdim\Gin@nat@width>\linewidth\linewidth
\else\Gin@nat@width\fi}
\makeatother
\let\Oldincludegraphics\includegraphics
% Set max figure width to be 80% of text width, for now hardcoded.
\renewcommand{\includegraphics}[1]{\Oldincludegraphics[width=.8\maxwidth]{#1}}
% Ensure that by default, figures have no caption (until we provide a
% proper Figure object with a Caption API and a way to capture that
% in the conversion process - todo).
\usepackage{caption}
\DeclareCaptionLabelFormat{nolabel}{}
\captionsetup{labelformat=nolabel}
\usepackage{adjustbox} % Used to constrain images to a maximum size
\usepackage{xcolor} % Allow colors to be defined
\usepackage{enumerate} % Needed for markdown enumerations to work
\usepackage{geometry} % Used to adjust the document margins
\usepackage{amsmath} % Equations
\usepackage{amssymb} % Equations
\usepackage{textcomp} % defines textquotesingle
% Hack from http://tex.stackexchange.com/a/47451/13684:
\AtBeginDocument{%
\def\PYZsq{\textquotesingle}% Upright quotes in Pygmentized code
}
\usepackage{upquote} % Upright quotes for verbatim code
\usepackage{eurosym} % defines \euro
\usepackage[mathletters]{ucs} % Extended unicode (utf-8) support
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% to support a larger range
% The hyperref package gives us a pdf with properly built
% internal navigation ('pdf bookmarks' for the table of contents,
% internal cross-reference links, web links for URLs, etc.)
\usepackage{hyperref}
\usepackage{longtable} % longtable support required by pandoc >1.10
\usepackage{booktabs} % table support for pandoc > 1.12.2
\usepackage[inline]{enumitem} % IRkernel/repr support (it uses the enumerate* environment)
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\begin{document}
\maketitle
\begin{verbatim}
<h1>
WeRateDogs Twitter Archive - Act Report
</h1>
\end{verbatim}
\begin{verbatim}
<h3>
-By Piyush Kumar
</h3>
\end{verbatim}
\subsection{WeRateDog}\label{weratedog}
\begin{quote}
\begin{enumerate}
\def\labelenumi{\arabic{enumi}.}
\tightlist
\item
WerateDog twitter archived data contains 2365 rows and 17 columns from
the @dog\_rates twitter account. Which is downloaded manually from the
link provided in the section "Project Details".\\
\item
Then we created a request to download the "image-predictions.tsv
file".
\item
Then we extracted the data using twitter api and some specific data is
extraced such as "tweet\_id, retweets, favourites"
\end{enumerate}
\end{quote}
\subsection{Wrangling of Data}\label{wrangling-of-data}
\begin{quote}
\begin{enumerate}
\def\labelenumi{\arabic{enumi}.}
\tightlist
\item
Before cleaning the Dataset some usefull insights are drawn to
distinguish wheather data is having:
\end{enumerate}
\begin{enumerate}
\def\labelenumi{\alph{enumi}.}
\tightlist
\item
Quality Issues
\item
Tidiness Issues
\end{enumerate}
\begin{enumerate}
\def\labelenumi{\arabic{enumi}.}
\setcounter{enumi}{1}
\tightlist
\item
All three Dataset are comibined With respect to their Tweet\_Id's.
\item
After removing all the errors and storing in seprate csv file. And
observing this csv we concluded that only 1968 rows and 14 columns
were usefully for Analysis and drawing usefull insights from it.
\end{enumerate}
\end{quote}
\subsection{Visualizations}\label{visualizations}
\subsubsection{1. Which rating was given to most of the
dogs?}\label{which-rating-was-given-to-most-of-the-dogs}
\begin{Verbatim}[commandchars=\\\{\}]
{\color{incolor}In [{\color{incolor}74}]:} \PY{k}{try}\PY{p}{:}
\PY{n}{plt}\PY{o}{.}\PY{n}{figure}\PY{p}{(}\PY{n}{figsize}\PY{o}{=}\PY{p}{(}\PY{l+m+mi}{10}\PY{p}{,}\PY{l+m+mi}{10}\PY{p}{)}\PY{p}{)}
\PY{n}{plt}\PY{o}{.}\PY{n}{title} \PY{p}{(}\PY{l+s+s1}{\PYZsq{}}\PY{l+s+s1}{Rating Numerator Distribution}\PY{l+s+s1}{\PYZsq{}}\PY{p}{,} \PY{n}{size}\PY{o}{=}\PY{l+m+mi}{15}\PY{p}{)}
\PY{n}{plt}\PY{o}{.}\PY{n}{xlabel}\PY{p}{(}\PY{l+s+s1}{\PYZsq{}}\PY{l+s+s1}{Rating Numerator}\PY{l+s+s1}{\PYZsq{}}\PY{p}{)}\PY{n}{z}
\PY{n}{plt}\PY{o}{.}\PY{n}{ylabel}\PY{p}{(}\PY{l+s+s1}{\PYZsq{}}\PY{l+s+s1}{Number of Ratings}\PY{l+s+s1}{\PYZsq{}}\PY{p}{)}
\PY{n}{base\PYZus{}color} \PY{o}{=} \PY{n}{sns}\PY{o}{.}\PY{n}{color\PYZus{}palette}\PY{p}{(}\PY{p}{)}\PY{p}{[}\PY{l+m+mi}{0}\PY{p}{]}
\PY{n}{sns}\PY{o}{.}\PY{n}{countplot}\PY{p}{(}\PY{n}{data} \PY{o}{=} \PY{n}{df}\PY{p}{,} \PY{n}{x} \PY{o}{=} \PY{l+s+s1}{\PYZsq{}}\PY{l+s+s1}{rating\PYZus{}numerator}\PY{l+s+s1}{\PYZsq{}}\PY{p}{,} \PY{n}{color} \PY{o}{=} \PY{n}{base\PYZus{}color}\PY{p}{)}
\PY{k}{except}\PY{p}{:}
\PY{n+nb}{print}\PY{p}{(}\PY{l+s+s2}{\PYZdq{}}\PY{l+s+s2}{error}\PY{l+s+s2}{\PYZdq{}}\PY{p}{)}
\end{Verbatim}
\begin{center}
\adjustimage{max size={0.9\linewidth}{0.9\paperheight}}{output_8_0.png}
\end{center}
{ \hspace*{\fill} \\}
\subsubsection{Observations:}\label{observations}
\begin{quote}
\begin{enumerate}
\def\labelenumi{\arabic{enumi}.}
\tightlist
\item
Most of the dogs get rating\_numerator in between 10-13
\item
There is very few dogs even 1 or 2 with rating 0 and numerator rating
as float
\end{enumerate}
\end{quote}
\begin{Verbatim}[commandchars=\\\{\}]
{\color{incolor}In [{\color{incolor}75}]:} \PY{n}{sns}\PY{o}{.}\PY{n}{pairplot}\PY{p}{(}\PY{n}{data}\PY{o}{=} \PY{n}{df}\PY{p}{)}
\end{Verbatim}
\begin{Verbatim}[commandchars=\\\{\}]
{\color{outcolor}Out[{\color{outcolor}75}]:} <seaborn.axisgrid.PairGrid at 0x1f173fb6c18>
\end{Verbatim}
\begin{center}
\adjustimage{max size={0.9\linewidth}{0.9\paperheight}}{output_10_1.png}
\end{center}
{ \hspace*{\fill} \\}
\subsubsection{Observations:}\label{observations}
\begin{quote}
\begin{enumerate}
\def\labelenumi{\arabic{enumi}.}
\tightlist
\item
Rating\_numerator vs favourites/retweets are right skewed.
\item
Retweets vs favourites is linear positive.
\end{enumerate}
\end{quote}
\subsubsection{What are the 10 most frequent predicted dog
breeds?}\label{what-are-the-10-most-frequent-predicted-dog-breeds}
\begin{Verbatim}[commandchars=\\\{\}]
{\color{incolor}In [{\color{incolor}76}]:} \PY{k}{try}\PY{p}{:}
\PY{n}{df}\PY{p}{[}\PY{l+s+s1}{\PYZsq{}}\PY{l+s+s1}{pred\PYZus{}breed}\PY{l+s+s1}{\PYZsq{}}\PY{p}{]}\PY{o}{.}\PY{n}{value\PYZus{}counts}\PY{p}{(}\PY{p}{)}\PY{p}{[}\PY{l+m+mi}{0}\PY{p}{:}\PY{l+m+mi}{10}\PY{p}{]}\PY{o}{.}\PY{n}{sort\PYZus{}values}\PY{p}{(}\PY{n}{ascending}\PY{o}{=}\PY{k+kc}{False}\PY{p}{)}\PY{o}{.}\PY{n}{plot}\PY{p}{(}\PY{n}{kind} \PY{o}{=} \PY{l+s+s1}{\PYZsq{}}\PY{l+s+s1}{barh}\PY{l+s+s1}{\PYZsq{}}\PY{p}{)}
\PY{n}{plt}\PY{o}{.}\PY{n}{xlabel}\PY{p}{(}\PY{l+s+s1}{\PYZsq{}}\PY{l+s+s1}{Number of Breed Prediction}\PY{l+s+s1}{\PYZsq{}}\PY{p}{)}
\PY{n}{plt}\PY{o}{.}\PY{n}{title}\PY{p}{(}\PY{l+s+s1}{\PYZsq{}}\PY{l+s+s1}{Top 10 frequent dog breeds}\PY{l+s+s1}{\PYZsq{}}\PY{p}{,} \PY{n}{size}\PY{o}{=}\PY{l+m+mi}{15}\PY{p}{)}
\PY{n}{plt}\PY{o}{.}\PY{n}{ylabel}\PY{p}{(}\PY{l+s+s1}{\PYZsq{}}\PY{l+s+s1}{Dog Breed}\PY{l+s+s1}{\PYZsq{}}\PY{p}{)}
\PY{n}{plt}\PY{o}{.}\PY{n}{plot}\PY{p}{(}\PY{p}{)}\PY{p}{;}
\PY{k}{except}\PY{p}{:}
\PY{n+nb}{print}\PY{p}{(}\PY{l+s+s2}{\PYZdq{}}\PY{l+s+s2}{error}\PY{l+s+s2}{\PYZdq{}}\PY{p}{)}
\end{Verbatim}
\begin{center}
\adjustimage{max size={0.9\linewidth}{0.9\paperheight}}{output_13_0.png}
\end{center}
{ \hspace*{\fill} \\}
\subsubsection{Observations:}\label{observations}
\begin{quote}
\begin{enumerate}
\def\labelenumi{\arabic{enumi}.}
\tightlist
\item
Most of the dogs have golden retriever, labrador retriever as breed
which all are rated.
\end{enumerate}
\end{quote}
\subsection{Conclusion}\label{conclusion}
\begin{quote}
\begin{enumerate}
\def\labelenumi{\arabic{enumi}.}
\tightlist
\item
Most of the dogs get rating\_numerator in between 10-13
\item
There is very few dogs even 1 or 2 with rating 0 and numerator rating
as float.
\item
Most of the dogs have golden retriever, labrador retriever as breed
which all are rated.
\item
The max no of tweets are: 78839
\item
The max no of tweets are: 14
\item
Rating\_numerator vs favourites/retweets are right skewed.
\item
Retweets vs favourites is linear positive.
\end{enumerate}
\end{quote}
% Add a bibliography block to the postdoc
\end{document}