| author | Christian Urban <urbanc@in.tum.de> | 
| Wed, 07 Aug 2019 14:32:21 +0100 | |
| changeset 272 | a091de62e3f8 | 
| parent 266 | 31e5218f43de | 
| child 276 | 5a8ef4dd6cc9 | 
| permissions | -rw-r--r-- | 
| 6 | 1 | \documentclass{article}
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changeset | 2 | \usepackage{../style}
 | 
| 195 | 3 | \usepackage{disclaimer}
 | 
| 199 | 4 | \usepackage{../langs}
 | 
| 6 | 5 | |
| 6 | \begin{document}
 | |
| 7 | ||
| 199 | 8 | \section*{Assignment 6 (Scala)}
 | 
| 9 | ||
| 10 | \mbox{}\hfill\textit{``The most effective debugging tool is still careful thought,}\\
 | |
| 11 | \mbox{}\hfill\textit{coupled with judiciously placed print statements.''}\smallskip\\
 | |
| 12 | \mbox{}\hfill\textit{ --- Brian W. Kernighan, in Unix for Beginners (1979)}\bigskip
 | |
| 13 | ||
| 14 | ||
| 15 | \noindent | |
| 266 | 16 | This assignment is about Scala and worth 10\%. The basic | 
| 17 | part is due on \cwSIX{} at 11pm, and the main part on \cwSIXa{}
 | |
| 199 | 18 | at 11pm. You are asked to implement two programs about list | 
| 266 | 19 | processing and recursion. The main part is more advanced and might | 
| 196 | 20 | include material you have not yet seen in the first lecture. | 
| 21 | \bigskip | |
| 199 | 22 | |
| 195 | 23 | \IMPORTANT{}
 | 
| 24 | ||
| 127 | 25 | \noindent | 
| 195 | 26 | Also note that the running time of each part will be restricted to a | 
| 199 | 27 | maximum of 30 seconds on my laptop. | 
| 192 | 28 | |
| 196 | 29 | \DISCLAIMER{}
 | 
| 6 | 30 | |
| 201 | 31 | \subsection*{Reference Implementation}
 | 
| 6 | 32 | |
| 199 | 33 | Like the C++ assignments, the Scala assignments will work like this: you | 
| 34 | push your files to GitHub and receive (after sometimes a long delay) some | |
| 35 | automated feedback. In the end we take a snapshot of the submitted files and | |
| 266 | 36 | apply an automated marking script to them.\medskip | 
| 199 | 37 | |
| 266 | 38 | \noindent | 
| 199 | 39 | In addition, the Scala assignments come with a reference implementation | 
| 40 | in form of a \texttt{jar}-file. This allows you to run any test cases
 | |
| 41 | on your own computer. For example you can call Scala on the command | |
| 42 | line with the option \texttt{-cp collatz.jar} and then query any
 | |
| 43 | function from the template file. Say you want to find out what | |
| 44 | the functions \texttt{collatz} and \texttt{collatz\_max}
 | |
| 45 | produce: for this you just need to prefix them with the object name | |
| 46 | \texttt{CW6a} (and \texttt{CW6b} respectively for \texttt{drumb.jar}).
 | |
| 47 | If you want to find out what these functions produce for the argument | |
| 48 | \texttt{6}, you would type something like:
 | |
| 49 | ||
| 50 | \begin{lstlisting}[language={},numbers=none,basicstyle=\ttfamily\small]
 | |
| 51 | $ scala -cp collatz.jar | |
| 52 | ||
| 53 | scala> CW6a.collatz(6) | |
| 54 | ... | |
| 55 | scala> CW6a.collatz_max(6) | |
| 56 | ... | |
| 57 | \end{lstlisting}%$
 | |
| 58 | ||
| 201 | 59 | \subsection*{Hints}
 | 
| 60 | ||
| 61 | \noindent | |
| 62 | \textbf{For Part 1:} useful math operators: \texttt{\%} for modulo; useful
 | |
| 63 | functions: \mbox{\texttt{(1\,to\,10)}} for ranges, \texttt{.toInt},
 | |
| 64 | \texttt{.toList} for conversions, \texttt{List(...).max} for the
 | |
| 65 | maximum of a list, \texttt{List(...).indexOf(...)} for the first index of
 | |
| 66 | a value in a list.\bigskip | |
| 67 | ||
| 68 | \noindent | |
| 266 | 69 | \textbf{For Part 2:} useful string functions:
 | 
| 70 | \texttt{.startsWith(...)} for checking whether a string has a given
 | |
| 71 | prefix, \texttt{\_ ++ \_} for concatenating two strings; useful option
 | |
| 72 | functions: \texttt{.flatten} flattens a list of options such that it
 | |
| 73 | filters way all \texttt{None}'s, \texttt{Try(...).getOrElse ...} runs
 | |
| 74 | some code that might raise an exception---if yes, then a default value | |
| 75 | can be given; useful list functions: \texttt{.head} for obtaining the
 | |
| 76 | first element in a non-empty list, \texttt{.length} for the length of
 | |
| 77 | a list; \texttt{.filter(...)} for filtering out elements in a list;
 | |
| 78 | \texttt{.getLines.toList} for obtaining a list of lines from a file;
 | |
| 79 | \texttt{.split(",").toList} for splitting strings according to a
 | |
| 80 | comma.\bigskip | |
| 201 | 81 | |
| 82 | \noindent | |
| 266 | 83 | \textbf{Note!} Fortunately Scala supports operator overloading. But
 | 
| 84 | make sure you understand the difference between \texttt{100 / 3} and
 | |
| 201 | 85 | \texttt{100.0 / 3}!
 | 
| 86 | ||
| 87 | \newpage | |
| 266 | 88 | \subsection*{Basic Part (3 Marks, file collatz.scala)}
 | 
| 6 | 89 | |
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changeset | 90 | This part is about recursion. You are asked to implement a Scala | 
| 18 | 91 | program that tests examples of the \emph{$3n + 1$-conjecture}, also
 | 
| 92 | called \emph{Collatz conjecture}. This conjecture can be described as
 | |
| 93 | follows: Start with any positive number $n$ greater than $0$: | |
| 94 | ||
| 95 | \begin{itemize}
 | |
| 96 | \item If $n$ is even, divide it by $2$ to obtain $n / 2$. | |
| 97 | \item If $n$ is odd, multiply it by $3$ and add $1$ to obtain $3n + | |
| 98 | 1$. | |
| 99 | \item Repeat this process and you will always end up with $1$. | |
| 100 | \end{itemize}
 | |
| 101 | ||
| 102 | \noindent | |
| 266 | 103 | For example if you start with, say, $6$ and $9$, you obtain the | 
| 104 | two series | |
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changeset | 106 | \[ | 
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changeset | 107 | \begin{array}{@{}l@{\hspace{5mm}}l@{}}
 | 
| 199 | 108 | 6, 3, 10, 5, 16, 8, 4, 2, 1 & \text{(= 8 steps)}\\
 | 
| 109 | 9, 28, 14, 7, 22, 11, 34, 17, 52, 26, 13, 40, 20, 10, 5, 16, 8, 4, 2, 1  & \text{(= 19 steps)}\\
 | |
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changeset | 110 | \end{array}
 | 
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changeset | 111 | \] | 
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changeset | 112 | |
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changeset | 113 | \noindent | 
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changeset | 114 | As you can see, the numbers go up and down like a roller-coaster, but | 
| 18 | 115 | curiously they seem to always terminate in $1$. The conjecture is that | 
| 116 | this will \emph{always} happen for every number greater than
 | |
| 117 | 0.\footnote{While it is relatively easy to test this conjecture with
 | |
| 118 | particular numbers, it is an interesting open problem to | |
| 196 | 119 |   \emph{prove} that the conjecture is true for \emph{all} numbers ($>
 | 
| 120 |   0$). Paul Erd\"o{}s, a famous mathematician you might have hard
 | |
| 266 | 121 | about, said about this conjecture: ``Mathematics may not [yet] be ready | 
| 196 | 122 | for such problems.'' and also offered a \$500 cash prize for its | 
| 123 | solution. Jeffrey Lagarias, another mathematician, claimed that | |
| 124 | based only on known information about this problem, ``this is an | |
| 125 | extraordinarily difficult problem, completely out of reach of | |
| 126 | present day mathematics.'' There is also a | |
| 127 |   \href{https://xkcd.com/710/}{xkcd} cartoon about this conjecture
 | |
| 18 | 128 |   (click \href{https://xkcd.com/710/}{here}). If you are able to solve
 | 
| 129 | this conjecture, you will definitely get famous.}\bigskip | |
| 130 | ||
| 131 | \noindent | |
| 199 | 132 | \textbf{Tasks}
 | 
| 18 | 133 | |
| 134 | \begin{itemize}
 | |
| 135 | \item[(1)] You are asked to implement a recursive function that | |
| 136 | calculates the number of steps needed until a series ends | |
| 199 | 137 | with $1$. In case of starting with $6$, it takes $8$ steps and in | 
| 138 | case of starting with $9$, it takes $19$ (see above). In order to | |
| 18 | 139 | try out this function with large numbers, you should use | 
| 140 |   \texttt{Long} as argument type, instead of \texttt{Int}.  You can
 | |
| 141 | assume this function will be called with numbers between $1$ and | |
| 196 | 142 | $1$ Million. \hfill[2 Marks] | 
| 18 | 143 | |
| 144 | \item[(2)] Write a second function that takes an upper bound as | |
| 145 | argument and calculates the steps for all numbers in the range from | |
| 210 | 146 | 1 up to this bound (the bound including). It returns the maximum number of | 
| 147 | steps and the corresponding number that needs that many steps. More | |
| 148 | precisely it returns a pair where the first component is the number | |
| 149 |   of steps and the second is the corresponding number. \hfill\mbox{[1
 | |
| 150 | Mark]} | |
| 18 | 151 | \end{itemize}
 | 
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changeset | 153 | \noindent | 
| 18 | 154 | \textbf{Test Data:} Some test ranges are:
 | 
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changeset | 156 | \begin{itemize}
 | 
| 199 | 157 | \item 1 to 10 where $9$ takes 19 steps | 
| 158 | \item 1 to 100 where $97$ takes 118 steps, | |
| 159 | \item 1 to 1,000 where $871$ takes 178 steps, | |
| 160 | \item 1 to 10,000 where $6,171$ takes 261 steps, | |
| 161 | \item 1 to 100,000 where $77,031$ takes 350 steps, | |
| 162 | \item 1 to 1 Million where $837,799$ takes 524 steps | |
| 163 | %% runs out of stack space | |
| 164 | %% \item[$\bullet$] $1 - 10$ million where $8,400,511$ takes 685 steps | |
| 196 | 165 | \end{itemize}
 | 
| 18 | 166 | |
| 201 | 167 | |
| 127 | 168 | |
| 169 | ||
| 196 | 170 | |
| 266 | 171 | \subsection*{Main Part (7 Marks, file drumb.scala)}
 | 
| 199 | 172 | |
| 173 | A purely fictional character named Mr T.~Drumb inherited in 1978 | |
| 174 | approximately 200 Million Dollar from his father. Mr Drumb prides | |
| 175 | himself to be a brilliant business man because nowadays it is | |
| 176 | estimated he is 3 Billion Dollar worth (one is not sure, of course, | |
| 177 | because Mr Drumb refuses to make his tax records public). | |
| 178 | ||
| 179 | Since the question about Mr Drumb's business acumen remains open, | |
| 180 | let's do a quick back-of-the-envelope calculation in Scala whether his | |
| 181 | claim has any merit. Let's suppose we are given \$100 in 1978 and we | |
| 182 | follow a really dumb investment strategy, namely: | |
| 183 | ||
| 184 | \begin{itemize}
 | |
| 185 | \item We blindly choose a portfolio of stocks, say some Blue-Chip stocks | |
| 186 | or some Real Estate stocks. | |
| 187 | \item If some of the stocks in our portfolio are traded in January of | |
| 188 | a year, we invest our money in equal amounts in each of these | |
| 189 | stocks. For example if we have \$100 and there are four stocks that | |
| 190 | are traded in our portfolio, we buy \$25 worth of stocks | |
| 191 | from each. Be careful to also test cases where you trade with 3 stocks, for example. | |
| 192 | \item Next year in January, we look at how our stocks did, liquidate | |
| 193 | everything, and re-invest our (hopefully) increased money in again | |
| 194 | the stocks from our portfolio (there might be more stocks available, | |
| 195 | if companies from our portfolio got listed in that year, or less if | |
| 196 | some companies went bust or were de-listed). | |
| 266 | 197 | \item We do this for 40 years until January 2019 and check what would | 
| 199 | 198 | have become out of our \$100. | 
| 199 | \end{itemize}
 | |
| 200 | ||
| 201 | \noindent | |
| 266 | 202 | Until Yahoo was bought by Altaba a few years ago, historical stock market | 
| 199 | 203 | data for such back-of-the-envelope calculations was freely available | 
| 201 | 204 | online. Unfortunately nowadays this kind of data is more difficult to | 
| 199 | 205 | obtain, unless you are prepared to pay extortionate prices or be | 
| 201 | 206 | severely rate-limited. Therefore this assignment comes with a number | 
| 199 | 207 | of files containing CSV-lists with the historical stock prices for the | 
| 208 | companies in our portfolios. Use these files for the following | |
| 209 | tasks.\bigskip | |
| 210 | ||
| 201 | 211 | \newpage | 
| 199 | 212 | \noindent | 
| 213 | \textbf{Tasks}
 | |
| 214 | ||
| 215 | \begin{itemize}
 | |
| 216 | \item[(1)] Write a function \texttt{get\_january\_data} that takes a
 | |
| 217 | stock symbol and a year as arguments. The function reads the | |
| 218 | corresponding CSV-file and returns the list of strings that start | |
| 219 | with the given year (each line in the CSV-list is of the form | |
| 220 |   \texttt{someyear-01-someday,someprice}).\hfill[1 Mark]
 | |
| 221 | ||
| 222 | \item[(2)] Write a function \texttt{get\_first\_price} that takes
 | |
| 223 | again a stock symbol and a year as arguments. It should return the | |
| 224 | first January price for the stock symbol in the given year. For this | |
| 225 | it uses the list of strings generated by | |
| 226 |   \texttt{get\_january\_data}.  A problem is that normally a stock
 | |
| 227 | exchange is not open on 1st of January, but depending on the day of | |
| 228 | the week on a later day (maybe 3rd or 4th). The easiest way to solve | |
| 229 | this problem is to obtain the whole January data for a stock symbol | |
| 230 | and then select the earliest, or first, entry in this list. The | |
| 231 | stock price of this entry should be converted into a double. Such a | |
| 232 | price might not exist, in case the company does not exist in the given | |
| 233 | year. For example, if you query for Google in January of 1980, then | |
| 234 | clearly Google did not exist yet. Therefore you are asked to | |
| 235 |   return a trade price with type \texttt{Option[Double]}\ldots\texttt{None}
 | |
| 236 |   will be the value for when no price exists; \texttt{Some} if  there is a
 | |
| 237 | price.\hfill[1 Mark] | |
| 238 | ||
| 239 | \item[(3)] Write a function \texttt{get\_prices} that takes a
 | |
| 240 | portfolio (a list of stock symbols), a years range and gets all the | |
| 241 | first trading prices for each year in the range. You should organise | |
| 242 |   this as a list of lists of \texttt{Option[Double]}'s. The inner
 | |
| 243 | lists are for all stock symbols from the portfolio and the outer | |
| 244 | list for the years. For example for Google and Apple in years 2010 | |
| 245 | (first line), 2011 (second line) and 2012 (third line) you obtain: | |
| 246 | ||
| 247 | \begin{verbatim}
 | |
| 266 | 248 | List(List(Some(312.204773), Some(26.782711)), | 
| 249 | List(Some(301.0466), Some(41.244694)), | |
| 250 | List(Some(331.462585), Some(51.464207))) | |
| 201 | 251 | \end{verbatim}\hfill[1 Mark]
 | 
| 266 | 252 | |
| 253 | ||
| 254 | %\end{itemize}
 | |
| 199 | 255 | |
| 266 | 256 | %\subsection*{Advanced Part 3 (4 Marks, continue in file drumb.scala)}
 | 
| 257 | % | |
| 258 | %\noindent | |
| 259 | %\textbf{Tasks}
 | |
| 199 | 260 | |
| 266 | 261 | %\begin{itemize}  
 | 
| 199 | 262 | |
| 263 | \item[(4)] Write a function that calculates the \emph{change factor} (delta)
 | |
| 264 | for how a stock price has changed from one year to the next. This is | |
| 265 | only well-defined, if the corresponding company has been traded in both | |
| 266 | years. In this case you can calculate | |
| 267 | ||
| 268 | \[ | |
| 269 |   \frac{price_{new} - price_{old}}{price_{old}}
 | |
| 270 | \] | |
| 271 | ||
| 272 | If the change factor is defined, you should return it | |
| 273 |   as \texttt{Some(change\_factor)}; if not, you should return
 | |
| 274 |   \texttt{None}.\mbox{}\hfill\mbox{[1 Mark]}
 | |
| 275 | ||
| 276 | \item[(5)] Write a function that calculates all change factors | |
| 266 | 277 | (deltas) for the prices we obtained in Task (2). For the running | 
| 199 | 278 | example of Google and Apple for the years 2010 to 2012 you should | 
| 279 | obtain 4 change factors: | |
| 280 | ||
| 266 | 281 | \begin{verbatim}
 | 
| 282 | List(List(Some(-0.03573991804411003), Some(0.539974575389325)), | |
| 283 | List(Some(0.10103414222249969), Some(0.24777764141006836))) | |
| 199 | 284 | \end{verbatim}
 | 
| 285 | ||
| 286 | That means Google did a bit badly in 2010, while Apple did very well. | |
| 287 | Both did OK in 2011. Make sure you handle the cases where a company is | |
| 288 |   not listed in a year. In such cases the change factor should be \texttt{None}
 | |
| 266 | 289 | (recall Task~(4)). | 
| 199 | 290 |   \mbox{}\hfill\mbox{[1 Mark]}
 | 
| 291 | ||
| 292 | \item[(6)] Write a function that calculates the ``yield'', or | |
| 293 | balance, for one year for our portfolio. This function takes the | |
| 294 | change factors, the starting balance and the year as arguments. If | |
| 295 | no company from our portfolio existed in that year, the balance is | |
| 296 | unchanged. Otherwise we invest in each existing company an equal | |
| 297 | amount of our balance. Using the change factors computed under Task | |
| 266 | 298 | (2), calculate the new balance. Say we had \$100 in 2010, we would have | 
| 199 | 299 | received in our running example involving Google and Apple: | 
| 300 | ||
| 301 |   \begin{verbatim}
 | |
| 266 | 302 | $50 * -0.03573991804411003 + $50 * 0.539974575389325 | 
| 303 | = $25.21173286726075 | |
| 199 | 304 |   \end{verbatim}
 | 
| 305 | ||
| 306 | as profit for that year, and our new balance for 2011 is \$125 when | |
| 307 |   converted to a \texttt{Long}.\mbox{}\hfill\mbox{[1 Mark]}
 | |
| 308 | ||
| 309 | \item[(7)] Write a function that calculates the overall balance | |
| 310 | for a range of years where each year the yearly profit is compounded to | |
| 311 | the new balances and then re-invested into our portfolio. | |
| 312 | For this use the function and results generated under (6).\\ | |
| 313 |   \mbox{}\hfill\mbox{[1 Mark]}
 | |
| 314 | \end{itemize}\medskip  
 | |
| 315 | ||
| 316 | ||
| 317 | ||
| 318 | \noindent | |
| 319 | \textbf{Test Data:} File \texttt{drumb.scala} contains two portfolios
 | |
| 320 | collected from the S\&P 500, one for blue-chip companies, including | |
| 321 | Facebook, Amazon and Baidu; and another for listed real-estate | |
| 322 | companies, whose names I have never heard of. Following the dumb | |
| 266 | 323 | investment strategy from 1978 until 2019 would have turned a starting | 
| 324 | balance of \$100 into roughly \$39,162 for real estate and a whopping | |
| 325 | \$462,199 for blue chips. Note when comparing these results with your | |
| 199 | 326 | own calculations: there might be some small rounding errors, which | 
| 327 | when compounded lead to moderately different values.\bigskip | |
| 328 | ||
| 329 | ||
| 330 | \noindent | |
| 331 | \textbf{Moral:} Reflecting on our assumptions, we are over-estimating
 | |
| 332 | our yield in many ways: first, who can know in 1978 about what will | |
| 333 | turn out to be a blue chip company. Also, since the portfolios are | |
| 334 | chosen from the current S\&P 500, they do not include the myriad | |
| 335 | of companies that went bust or were de-listed over the years. | |
| 336 | So where does this leave our fictional character Mr T.~Drumb? Well, given | |
| 337 | his inheritance, a really dumb investment strategy would have done | |
| 338 | equally well, if not much better.\medskip | |
| 339 | ||
| 340 | \end{document}
 | |
| 341 | ||
| 342 | \newpage | |
| 192 | 343 | |
| 196 | 344 | This part is about web-scraping and list-processing in Scala. It uses | 
| 345 | online data about the per-capita alcohol consumption for each country | |
| 346 | (per year?), and a file containing the data about the population size of | |
| 347 | each country. From this data you are supposed to estimate how many | |
| 348 | litres of pure alcohol are consumed worldwide.\bigskip | |
| 192 | 349 | |
| 350 | \noindent | |
| 196 | 351 | \textbf{Tasks (file alcohol.scala):}
 | 
| 192 | 352 | |
| 353 | \begin{itemize}
 | |
| 196 | 354 | \item[(1)] Write a function that given an URL requests a | 
| 355 | comma-separated value (CSV) list. We are interested in the list | |
| 356 | from the following URL | |
| 192 | 357 | |
| 358 | \begin{center}
 | |
| 196 | 359 |   \url{https://raw.githubusercontent.com/fivethirtyeight/data/master/alcohol-consumption/drinks.csv}
 | 
| 192 | 360 | \end{center}
 | 
| 127 | 361 | |
| 196 | 362 | \noindent Your function should take a string (the URL) as input, and | 
| 363 | produce a list of strings as output, where each string is one line in | |
| 364 | the corresponding CSV-list. This list from the URL above should | |
| 365 | contain 194 lines.\medskip | |
| 192 | 366 | |
| 367 | \noindent | |
| 196 | 368 | Write another function that can read the file \texttt{population.csv}
 | 
| 201 | 369 | from disk (the file is distributed with the assignment). This | 
| 196 | 370 | function should take a string as argument, the file name, and again | 
| 371 | return a list of strings corresponding to each entry in the | |
| 372 | CSV-list. For \texttt{population.csv}, this list should contain 216
 | |
| 373 | lines.\hfill[1 Mark] | |
| 374 | ||
| 375 | ||
| 376 | \item[(2)] Unfortunately, the CSV-lists contain a lot of ``junk'' and we | |
| 377 | need to extract the data that interests us. From the header of the | |
| 378 | alcohol list, you can see there are 5 columns | |
| 379 | ||
| 380 |   \begin{center}
 | |
| 381 |     \begin{tabular}{l}
 | |
| 382 |       \texttt{country (name),}\\
 | |
| 383 |       \texttt{beer\_servings,}\\
 | |
| 384 |       \texttt{spirit\_servings,}\\
 | |
| 385 |       \texttt{wine\_servings,}\\
 | |
| 386 |       \texttt{total\_litres\_of\_pure\_alcohol}
 | |
| 387 |     \end{tabular}  
 | |
| 388 |   \end{center}
 | |
| 389 | ||
| 390 | \noindent | |
| 391 | Write a function that extracts the data from the first column, | |
| 392 | the country name, and the data from the fifth column (converted into | |
| 393 |   a \texttt{Double}). For this go through each line of the CSV-list
 | |
| 394 |   (except the first line), use the \texttt{split(",")} function to
 | |
| 395 | divide each line into an array of 5 elements. Keep the data from the | |
| 396 | first and fifth element in these arrays.\medskip | |
| 192 | 397 | |
| 196 | 398 | \noindent | 
| 399 | Write another function that processes the population size list. This | |
| 400 |   is already of the form country name and population size.\footnote{Your
 | |
| 401 | friendly lecturer already did the messy processing for you from the | |
| 402 |   Worldbank database, see \url{https://github.com/datasets/population/tree/master/data} for the original.} Again, split the
 | |
| 403 | strings according to the commas. However, this time generate a | |
| 404 |   \texttt{Map} from country names to population sizes.\hfill[1 Mark]
 | |
| 405 | ||
| 406 | \item[(3)] In (2) you generated the data about the alcohol consumption | |
| 407 | per capita for each country, and also the population size for each | |
| 408 | country. From this generate next a sorted(!) list of the overall | |
| 409 | alcohol consumption for each country. The list should be sorted from | |
| 410 | highest alcohol consumption to lowest. The difficulty is that the | |
| 411 | data is scraped off from ``random'' sources on the Internet and | |
| 412 | annoyingly the spelling of some country names does not always agree in both | |
| 413 | lists. For example the alcohol list contains | |
| 414 |   \texttt{Bosnia-Herzegovina}, while the population writes this country as
 | |
| 415 |   \texttt{Bosnia and Herzegovina}. In your sorted
 | |
| 416 | overall list include only countries from the alcohol list, whose | |
| 417 | exact country name is also in the population size list. This means | |
| 418 | you can ignore countries like Bosnia-Herzegovina from the overall | |
| 419 | alcohol consumption. There are 177 countries where the names | |
| 420 | agree. The UK is ranked 10th on this list by | |
| 421 | consuming 671,976,864 Litres of pure alcohol each year.\medskip | |
| 422 | ||
| 423 | \noindent | |
| 424 | Finally, write another function that takes an integer, say | |
| 425 |   \texttt{n}, as argument. You can assume this integer is between 0
 | |
| 426 | and 177 (the number of countries in the sorted list above). The | |
| 427 | function should return a triple, where the first component is the | |
| 428 | sum of the alcohol consumption in all countries (on the list); the | |
| 429 |   second component is the sum of the \texttt{n}-highest alcohol
 | |
| 430 | consumers on the list; and the third component is the percentage the | |
| 431 |   \texttt{n}-highest alcohol consumers drink with respect to the
 | |
| 432 | the world consumption. You will see that according to our data, 164 | |
| 433 | countries (out of 177) gobble up 100\% of the World alcohol | |
| 434 |   consumption.\hfill\mbox{[1 Mark]}
 | |
| 18 | 435 | \end{itemize}
 | 
| 11 
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 Christian Urban <christian dot urban at kcl dot ac dot uk> parents: 
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changeset | 436 | |
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 Christian Urban <christian dot urban at kcl dot ac dot uk> parents: 
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changeset | 437 | \noindent | 
| 196 | 438 | \textbf{Hints:} useful list functions: \texttt{.drop(n)},
 | 
| 439 | \texttt{.take(n)} for dropping or taking some elements in a list,
 | |
| 440 | \texttt{.getLines} for separating lines in a string;
 | |
| 441 | \texttt{.sortBy(\_.\_2)} sorts a list of pairs according to the second
 | |
| 442 | elements in the pairs---the sorting is done from smallest to highest; | |
| 443 | useful \texttt{Map} functions: \texttt{.toMap} converts a list of
 | |
| 444 | pairs into a \texttt{Map}, \texttt{.isDefinedAt(k)} tests whether the
 | |
| 445 | map is defined at that key, that is would produce a result when | |
| 446 | called with this key; useful data functions: \texttt{Source.fromURL},
 | |
| 447 | \texttt{Source.fromFile} for obtaining a webpage and reading a file.
 | |
| 127 | 448 | |
| 196 | 449 | \newpage | 
| 450 | ||
| 451 | ||
| 18 | 452 | |
| 129 | 453 | |
| 135 | 454 | |
| 6 | 455 | |
| 456 | %%% Local Variables: | |
| 457 | %%% mode: latex | |
| 458 | %%% TeX-master: t | |
| 459 | %%% End: |