| author | Christian Urban <urbanc@in.tum.de> | 
| Thu, 06 Dec 2018 21:49:43 +0000 | |
| changeset 236 | fac3ebafbac1 | 
| parent 210 | 34f935e13bdd | 
| child 251 | a0bd77103898 | 
| 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 | |
| 201 | 16 | This assignment is about Scala and worth 10\%. The first and second | 
| 202 | 17 | part are due on 15 November at 11pm, and the third part on 21 December | 
| 199 | 18 | at 11pm. You are asked to implement two programs about list | 
| 18 | 19 | processing and recursion. The third 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 | |
| 36 | apply an automated marking script to them. | |
| 37 | ||
| 38 | In addition, the Scala assignments come with a reference implementation | |
| 39 | in form of a \texttt{jar}-file. This allows you to run any test cases
 | |
| 40 | on your own computer. For example you can call Scala on the command | |
| 41 | line with the option \texttt{-cp collatz.jar} and then query any
 | |
| 42 | function from the template file. Say you want to find out what | |
| 43 | the functions \texttt{collatz} and \texttt{collatz\_max}
 | |
| 44 | produce: for this you just need to prefix them with the object name | |
| 45 | \texttt{CW6a} (and \texttt{CW6b} respectively for \texttt{drumb.jar}).
 | |
| 46 | If you want to find out what these functions produce for the argument | |
| 47 | \texttt{6}, you would type something like:
 | |
| 48 | ||
| 49 | \begin{lstlisting}[language={},numbers=none,basicstyle=\ttfamily\small]
 | |
| 50 | $ scala -cp collatz.jar | |
| 51 | ||
| 52 | scala> CW6a.collatz(6) | |
| 53 | ... | |
| 54 | scala> CW6a.collatz_max(6) | |
| 55 | ... | |
| 56 | \end{lstlisting}%$
 | |
| 57 | ||
| 201 | 58 | \subsection*{Hints}
 | 
| 59 | ||
| 60 | \noindent | |
| 61 | \textbf{For Part 1:} useful math operators: \texttt{\%} for modulo; useful
 | |
| 62 | functions: \mbox{\texttt{(1\,to\,10)}} for ranges, \texttt{.toInt},
 | |
| 63 | \texttt{.toList} for conversions, \texttt{List(...).max} for the
 | |
| 64 | maximum of a list, \texttt{List(...).indexOf(...)} for the first index of
 | |
| 65 | a value in a list.\bigskip | |
| 66 | ||
| 67 | \noindent | |
| 68 | \textbf{For Part 2 + 3:} useful string functions: \texttt{.startsWith(...)} for
 | |
| 69 | checking whether a string has a given prefix, \texttt{\_ ++ \_} for
 | |
| 70 | concatenating two strings; useful option functions: \texttt{.flatten}
 | |
| 71 | flattens a list of options such that it filters way all | |
| 72 | \texttt{None}'s, \texttt{Try(...).getOrElse ...} runs some code that
 | |
| 73 | might raise an exception---if yes, then a default value can be given; | |
| 74 | useful list functions: \texttt{.head} for obtaining the first element
 | |
| 75 | in a non-empty list, \texttt{.length} for the length of a
 | |
| 76 | list; \texttt{.filter(...)} for filtering out elements in a list; \texttt{.getLines.toList} for obtaining a list of lines from
 | |
| 77 | a file; \texttt{.split(",").toList} for splitting strings according to
 | |
| 78 | a comma.\bigskip | |
| 79 | ||
| 80 | \noindent | |
| 81 | Fortunately Scala supports operator overloading. But make sure you understand the difference between \texttt{100 / 3} and
 | |
| 82 | \texttt{100.0 / 3}!
 | |
| 83 | ||
| 84 | \newpage | |
| 199 | 85 | \subsection*{Part 1 (3 Marks, file collatz.scala)}
 | 
| 6 | 86 | |
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changeset | 87 | This part is about recursion. You are asked to implement a Scala | 
| 18 | 88 | program that tests examples of the \emph{$3n + 1$-conjecture}, also
 | 
| 89 | called \emph{Collatz conjecture}. This conjecture can be described as
 | |
| 90 | follows: Start with any positive number $n$ greater than $0$: | |
| 91 | ||
| 92 | \begin{itemize}
 | |
| 93 | \item If $n$ is even, divide it by $2$ to obtain $n / 2$. | |
| 94 | \item If $n$ is odd, multiply it by $3$ and add $1$ to obtain $3n + | |
| 95 | 1$. | |
| 96 | \item Repeat this process and you will always end up with $1$. | |
| 97 | \end{itemize}
 | |
| 98 | ||
| 99 | \noindent | |
| 199 | 100 | For example if you start with $6$, or $9$, you obtain the | 
| 18 | 101 | series | 
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changeset | 102 | |
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changeset | 103 | \[ | 
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changeset | 104 | \begin{array}{@{}l@{\hspace{5mm}}l@{}}
 | 
| 199 | 105 | 6, 3, 10, 5, 16, 8, 4, 2, 1 & \text{(= 8 steps)}\\
 | 
| 106 | 9, 28, 14, 7, 22, 11, 34, 17, 52, 26, 13, 40, 20, 10, 5, 16, 8, 4, 2, 1  & \text{(= 19 steps)}\\
 | |
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changeset | 107 | \end{array}
 | 
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changeset | 108 | \] | 
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changeset | 109 | |
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changeset | 110 | \noindent | 
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changeset | 111 | As you can see, the numbers go up and down like a roller-coaster, but | 
| 18 | 112 | curiously they seem to always terminate in $1$. The conjecture is that | 
| 113 | this will \emph{always} happen for every number greater than
 | |
| 114 | 0.\footnote{While it is relatively easy to test this conjecture with
 | |
| 115 | particular numbers, it is an interesting open problem to | |
| 196 | 116 |   \emph{prove} that the conjecture is true for \emph{all} numbers ($>
 | 
| 117 |   0$). Paul Erd\"o{}s, a famous mathematician you might have hard
 | |
| 118 | about, said about this conjecture: ``Mathematics may not be ready | |
| 119 | for such problems.'' and also offered a \$500 cash prize for its | |
| 120 | solution. Jeffrey Lagarias, another mathematician, claimed that | |
| 121 | based only on known information about this problem, ``this is an | |
| 122 | extraordinarily difficult problem, completely out of reach of | |
| 123 | present day mathematics.'' There is also a | |
| 124 |   \href{https://xkcd.com/710/}{xkcd} cartoon about this conjecture
 | |
| 18 | 125 |   (click \href{https://xkcd.com/710/}{here}). If you are able to solve
 | 
| 126 | this conjecture, you will definitely get famous.}\bigskip | |
| 127 | ||
| 128 | \noindent | |
| 199 | 129 | \textbf{Tasks}
 | 
| 18 | 130 | |
| 131 | \begin{itemize}
 | |
| 132 | \item[(1)] You are asked to implement a recursive function that | |
| 133 | calculates the number of steps needed until a series ends | |
| 199 | 134 | with $1$. In case of starting with $6$, it takes $8$ steps and in | 
| 135 | case of starting with $9$, it takes $19$ (see above). In order to | |
| 18 | 136 | try out this function with large numbers, you should use | 
| 137 |   \texttt{Long} as argument type, instead of \texttt{Int}.  You can
 | |
| 138 | assume this function will be called with numbers between $1$ and | |
| 196 | 139 | $1$ Million. \hfill[2 Marks] | 
| 18 | 140 | |
| 141 | \item[(2)] Write a second function that takes an upper bound as | |
| 142 | argument and calculates the steps for all numbers in the range from | |
| 210 | 143 | 1 up to this bound (the bound including). It returns the maximum number of | 
| 144 | steps and the corresponding number that needs that many steps. More | |
| 145 | precisely it returns a pair where the first component is the number | |
| 146 |   of steps and the second is the corresponding number. \hfill\mbox{[1
 | |
| 147 | Mark]} | |
| 18 | 148 | \end{itemize}
 | 
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changeset | 150 | \noindent | 
| 18 | 151 | \textbf{Test Data:} Some test ranges are:
 | 
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changeset | 153 | \begin{itemize}
 | 
| 199 | 154 | \item 1 to 10 where $9$ takes 19 steps | 
| 155 | \item 1 to 100 where $97$ takes 118 steps, | |
| 156 | \item 1 to 1,000 where $871$ takes 178 steps, | |
| 157 | \item 1 to 10,000 where $6,171$ takes 261 steps, | |
| 158 | \item 1 to 100,000 where $77,031$ takes 350 steps, | |
| 159 | \item 1 to 1 Million where $837,799$ takes 524 steps | |
| 160 | %% runs out of stack space | |
| 161 | %% \item[$\bullet$] $1 - 10$ million where $8,400,511$ takes 685 steps | |
| 196 | 162 | \end{itemize}
 | 
| 18 | 163 | |
| 201 | 164 | |
| 127 | 165 | |
| 166 | ||
| 196 | 167 | |
| 199 | 168 | \subsection*{Part 2 (3 Marks, file drumb.scala)}
 | 
| 169 | ||
| 170 | A purely fictional character named Mr T.~Drumb inherited in 1978 | |
| 171 | approximately 200 Million Dollar from his father. Mr Drumb prides | |
| 172 | himself to be a brilliant business man because nowadays it is | |
| 173 | estimated he is 3 Billion Dollar worth (one is not sure, of course, | |
| 174 | because Mr Drumb refuses to make his tax records public). | |
| 175 | ||
| 176 | Since the question about Mr Drumb's business acumen remains open, | |
| 177 | let's do a quick back-of-the-envelope calculation in Scala whether his | |
| 178 | claim has any merit. Let's suppose we are given \$100 in 1978 and we | |
| 179 | follow a really dumb investment strategy, namely: | |
| 180 | ||
| 181 | \begin{itemize}
 | |
| 182 | \item We blindly choose a portfolio of stocks, say some Blue-Chip stocks | |
| 183 | or some Real Estate stocks. | |
| 184 | \item If some of the stocks in our portfolio are traded in January of | |
| 185 | a year, we invest our money in equal amounts in each of these | |
| 186 | stocks. For example if we have \$100 and there are four stocks that | |
| 187 | are traded in our portfolio, we buy \$25 worth of stocks | |
| 188 | from each. Be careful to also test cases where you trade with 3 stocks, for example. | |
| 189 | \item Next year in January, we look at how our stocks did, liquidate | |
| 190 | everything, and re-invest our (hopefully) increased money in again | |
| 191 | the stocks from our portfolio (there might be more stocks available, | |
| 192 | if companies from our portfolio got listed in that year, or less if | |
| 193 | some companies went bust or were de-listed). | |
| 194 | \item We do this for 40 years until January 2018 and check what would | |
| 195 | have become out of our \$100. | |
| 196 | \end{itemize}
 | |
| 197 | ||
| 198 | \noindent | |
| 201 | 199 | Until Yahoo was bought by Altaba last year, historical stock market | 
| 199 | 200 | data for such back-of-the-envelope calculations was freely available | 
| 201 | 201 | online. Unfortunately nowadays this kind of data is more difficult to | 
| 199 | 202 | obtain, unless you are prepared to pay extortionate prices or be | 
| 201 | 203 | severely rate-limited. Therefore this assignment comes with a number | 
| 199 | 204 | of files containing CSV-lists with the historical stock prices for the | 
| 205 | companies in our portfolios. Use these files for the following | |
| 206 | tasks.\bigskip | |
| 207 | ||
| 201 | 208 | \newpage | 
| 199 | 209 | \noindent | 
| 210 | \textbf{Tasks}
 | |
| 211 | ||
| 212 | \begin{itemize}
 | |
| 213 | \item[(1)] Write a function \texttt{get\_january\_data} that takes a
 | |
| 214 | stock symbol and a year as arguments. The function reads the | |
| 215 | corresponding CSV-file and returns the list of strings that start | |
| 216 | with the given year (each line in the CSV-list is of the form | |
| 217 |   \texttt{someyear-01-someday,someprice}).\hfill[1 Mark]
 | |
| 218 | ||
| 219 | \item[(2)] Write a function \texttt{get\_first\_price} that takes
 | |
| 220 | again a stock symbol and a year as arguments. It should return the | |
| 221 | first January price for the stock symbol in the given year. For this | |
| 222 | it uses the list of strings generated by | |
| 223 |   \texttt{get\_january\_data}.  A problem is that normally a stock
 | |
| 224 | exchange is not open on 1st of January, but depending on the day of | |
| 225 | the week on a later day (maybe 3rd or 4th). The easiest way to solve | |
| 226 | this problem is to obtain the whole January data for a stock symbol | |
| 227 | and then select the earliest, or first, entry in this list. The | |
| 228 | stock price of this entry should be converted into a double. Such a | |
| 229 | price might not exist, in case the company does not exist in the given | |
| 230 | year. For example, if you query for Google in January of 1980, then | |
| 231 | clearly Google did not exist yet. Therefore you are asked to | |
| 232 |   return a trade price with type \texttt{Option[Double]}\ldots\texttt{None}
 | |
| 233 |   will be the value for when no price exists; \texttt{Some} if  there is a
 | |
| 234 | price.\hfill[1 Mark] | |
| 235 | ||
| 236 | \item[(3)] Write a function \texttt{get\_prices} that takes a
 | |
| 237 | portfolio (a list of stock symbols), a years range and gets all the | |
| 238 | first trading prices for each year in the range. You should organise | |
| 239 |   this as a list of lists of \texttt{Option[Double]}'s. The inner
 | |
| 240 | lists are for all stock symbols from the portfolio and the outer | |
| 241 | list for the years. For example for Google and Apple in years 2010 | |
| 242 | (first line), 2011 (second line) and 2012 (third line) you obtain: | |
| 243 | ||
| 244 | \begin{verbatim}
 | |
| 245 | List(List(Some(311.349976), Some(20.544939)), | |
| 246 | List(Some(300.222351), Some(31.638695)), | |
| 247 | List(Some(330.555054), Some(39.478039))) | |
| 201 | 248 | \end{verbatim}\hfill[1 Mark]
 | 
| 199 | 249 | \end{itemize}
 | 
| 250 | ||
| 251 | \subsection*{Advanced Part 3 (4 Marks, continue in file drumb.scala)}
 | |
| 252 | ||
| 253 | \noindent | |
| 254 | \textbf{Tasks}
 | |
| 255 | ||
| 256 | \begin{itemize}  
 | |
| 257 | \item[(4)] Write a function that calculates the \emph{change factor} (delta)
 | |
| 258 | for how a stock price has changed from one year to the next. This is | |
| 259 | only well-defined, if the corresponding company has been traded in both | |
| 260 | years. In this case you can calculate | |
| 261 | ||
| 262 | \[ | |
| 263 |   \frac{price_{new} - price_{old}}{price_{old}}
 | |
| 264 | \] | |
| 265 | ||
| 266 | If the change factor is defined, you should return it | |
| 267 |   as \texttt{Some(change\_factor)}; if not, you should return
 | |
| 268 |   \texttt{None}.\mbox{}\hfill\mbox{[1 Mark]}
 | |
| 269 | ||
| 270 | \item[(5)] Write a function that calculates all change factors | |
| 271 | (deltas) for the prices we obtained under Part 2. For the running | |
| 272 | example of Google and Apple for the years 2010 to 2012 you should | |
| 273 | obtain 4 change factors: | |
| 274 | ||
| 275 | \begin{verbatim}  
 | |
| 276 | List(List(Some(-0.03573992567129673), Some(0.539975124774038)) | |
| 277 | List(Some(0.10103412653643493), Some(0.24777709700099845))) | |
| 278 | \end{verbatim}
 | |
| 279 | ||
| 280 | That means Google did a bit badly in 2010, while Apple did very well. | |
| 281 | Both did OK in 2011. Make sure you handle the cases where a company is | |
| 282 |   not listed in a year. In such cases the change factor should be \texttt{None}
 | |
| 283 | (see~(4)). | |
| 284 |   \mbox{}\hfill\mbox{[1 Mark]}
 | |
| 285 | ||
| 286 | \item[(6)] Write a function that calculates the ``yield'', or | |
| 287 | balance, for one year for our portfolio. This function takes the | |
| 288 | change factors, the starting balance and the year as arguments. If | |
| 289 | no company from our portfolio existed in that year, the balance is | |
| 290 | unchanged. Otherwise we invest in each existing company an equal | |
| 291 | amount of our balance. Using the change factors computed under Task | |
| 292 | 2, calculate the new balance. Say we had \$100 in 2010, we would have | |
| 293 | received in our running example involving Google and Apple: | |
| 294 | ||
| 295 |   \begin{verbatim}
 | |
| 296 | $50 * -0.03573992567129673 + $50 * 0.539975124774038 | |
| 297 | = $25.21175995513706 | |
| 298 |   \end{verbatim}
 | |
| 299 | ||
| 300 | as profit for that year, and our new balance for 2011 is \$125 when | |
| 301 |   converted to a \texttt{Long}.\mbox{}\hfill\mbox{[1 Mark]}
 | |
| 302 | ||
| 303 | \item[(7)] Write a function that calculates the overall balance | |
| 304 | for a range of years where each year the yearly profit is compounded to | |
| 305 | the new balances and then re-invested into our portfolio. | |
| 306 | For this use the function and results generated under (6).\\ | |
| 307 |   \mbox{}\hfill\mbox{[1 Mark]}
 | |
| 308 | \end{itemize}\medskip  
 | |
| 309 | ||
| 310 | ||
| 311 | ||
| 312 | \noindent | |
| 313 | \textbf{Test Data:} File \texttt{drumb.scala} contains two portfolios
 | |
| 314 | collected from the S\&P 500, one for blue-chip companies, including | |
| 315 | Facebook, Amazon and Baidu; and another for listed real-estate | |
| 316 | companies, whose names I have never heard of. Following the dumb | |
| 317 | investment strategy from 1978 until 2018 would have turned a starting | |
| 318 | balance of \$100 into roughly \$101,589 for real estate and a whopping | |
| 319 | \$1,587,528 for blue chips. Note when comparing these results with your | |
| 320 | own calculations: there might be some small rounding errors, which | |
| 321 | when compounded lead to moderately different values.\bigskip | |
| 322 | ||
| 323 | ||
| 324 | \noindent | |
| 325 | \textbf{Moral:} Reflecting on our assumptions, we are over-estimating
 | |
| 326 | our yield in many ways: first, who can know in 1978 about what will | |
| 327 | turn out to be a blue chip company. Also, since the portfolios are | |
| 328 | chosen from the current S\&P 500, they do not include the myriad | |
| 329 | of companies that went bust or were de-listed over the years. | |
| 330 | So where does this leave our fictional character Mr T.~Drumb? Well, given | |
| 331 | his inheritance, a really dumb investment strategy would have done | |
| 332 | equally well, if not much better.\medskip | |
| 333 | ||
| 334 | \end{document}
 | |
| 335 | ||
| 336 | \newpage | |
| 192 | 337 | |
| 196 | 338 | This part is about web-scraping and list-processing in Scala. It uses | 
| 339 | online data about the per-capita alcohol consumption for each country | |
| 340 | (per year?), and a file containing the data about the population size of | |
| 341 | each country. From this data you are supposed to estimate how many | |
| 342 | litres of pure alcohol are consumed worldwide.\bigskip | |
| 192 | 343 | |
| 344 | \noindent | |
| 196 | 345 | \textbf{Tasks (file alcohol.scala):}
 | 
| 192 | 346 | |
| 347 | \begin{itemize}
 | |
| 196 | 348 | \item[(1)] Write a function that given an URL requests a | 
| 349 | comma-separated value (CSV) list. We are interested in the list | |
| 350 | from the following URL | |
| 192 | 351 | |
| 352 | \begin{center}
 | |
| 196 | 353 |   \url{https://raw.githubusercontent.com/fivethirtyeight/data/master/alcohol-consumption/drinks.csv}
 | 
| 192 | 354 | \end{center}
 | 
| 127 | 355 | |
| 196 | 356 | \noindent Your function should take a string (the URL) as input, and | 
| 357 | produce a list of strings as output, where each string is one line in | |
| 358 | the corresponding CSV-list. This list from the URL above should | |
| 359 | contain 194 lines.\medskip | |
| 192 | 360 | |
| 361 | \noindent | |
| 196 | 362 | Write another function that can read the file \texttt{population.csv}
 | 
| 201 | 363 | from disk (the file is distributed with the assignment). This | 
| 196 | 364 | function should take a string as argument, the file name, and again | 
| 365 | return a list of strings corresponding to each entry in the | |
| 366 | CSV-list. For \texttt{population.csv}, this list should contain 216
 | |
| 367 | lines.\hfill[1 Mark] | |
| 368 | ||
| 369 | ||
| 370 | \item[(2)] Unfortunately, the CSV-lists contain a lot of ``junk'' and we | |
| 371 | need to extract the data that interests us. From the header of the | |
| 372 | alcohol list, you can see there are 5 columns | |
| 373 | ||
| 374 |   \begin{center}
 | |
| 375 |     \begin{tabular}{l}
 | |
| 376 |       \texttt{country (name),}\\
 | |
| 377 |       \texttt{beer\_servings,}\\
 | |
| 378 |       \texttt{spirit\_servings,}\\
 | |
| 379 |       \texttt{wine\_servings,}\\
 | |
| 380 |       \texttt{total\_litres\_of\_pure\_alcohol}
 | |
| 381 |     \end{tabular}  
 | |
| 382 |   \end{center}
 | |
| 383 | ||
| 384 | \noindent | |
| 385 | Write a function that extracts the data from the first column, | |
| 386 | the country name, and the data from the fifth column (converted into | |
| 387 |   a \texttt{Double}). For this go through each line of the CSV-list
 | |
| 388 |   (except the first line), use the \texttt{split(",")} function to
 | |
| 389 | divide each line into an array of 5 elements. Keep the data from the | |
| 390 | first and fifth element in these arrays.\medskip | |
| 192 | 391 | |
| 196 | 392 | \noindent | 
| 393 | Write another function that processes the population size list. This | |
| 394 |   is already of the form country name and population size.\footnote{Your
 | |
| 395 | friendly lecturer already did the messy processing for you from the | |
| 396 |   Worldbank database, see \url{https://github.com/datasets/population/tree/master/data} for the original.} Again, split the
 | |
| 397 | strings according to the commas. However, this time generate a | |
| 398 |   \texttt{Map} from country names to population sizes.\hfill[1 Mark]
 | |
| 399 | ||
| 400 | \item[(3)] In (2) you generated the data about the alcohol consumption | |
| 401 | per capita for each country, and also the population size for each | |
| 402 | country. From this generate next a sorted(!) list of the overall | |
| 403 | alcohol consumption for each country. The list should be sorted from | |
| 404 | highest alcohol consumption to lowest. The difficulty is that the | |
| 405 | data is scraped off from ``random'' sources on the Internet and | |
| 406 | annoyingly the spelling of some country names does not always agree in both | |
| 407 | lists. For example the alcohol list contains | |
| 408 |   \texttt{Bosnia-Herzegovina}, while the population writes this country as
 | |
| 409 |   \texttt{Bosnia and Herzegovina}. In your sorted
 | |
| 410 | overall list include only countries from the alcohol list, whose | |
| 411 | exact country name is also in the population size list. This means | |
| 412 | you can ignore countries like Bosnia-Herzegovina from the overall | |
| 413 | alcohol consumption. There are 177 countries where the names | |
| 414 | agree. The UK is ranked 10th on this list by | |
| 415 | consuming 671,976,864 Litres of pure alcohol each year.\medskip | |
| 416 | ||
| 417 | \noindent | |
| 418 | Finally, write another function that takes an integer, say | |
| 419 |   \texttt{n}, as argument. You can assume this integer is between 0
 | |
| 420 | and 177 (the number of countries in the sorted list above). The | |
| 421 | function should return a triple, where the first component is the | |
| 422 | sum of the alcohol consumption in all countries (on the list); the | |
| 423 |   second component is the sum of the \texttt{n}-highest alcohol
 | |
| 424 | consumers on the list; and the third component is the percentage the | |
| 425 |   \texttt{n}-highest alcohol consumers drink with respect to the
 | |
| 426 | the world consumption. You will see that according to our data, 164 | |
| 427 | countries (out of 177) gobble up 100\% of the World alcohol | |
| 428 |   consumption.\hfill\mbox{[1 Mark]}
 | |
| 18 | 429 | \end{itemize}
 | 
| 11 
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 Christian Urban <christian dot urban at kcl dot ac dot uk> parents: 
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changeset | 430 | |
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changeset | 431 | \noindent | 
| 196 | 432 | \textbf{Hints:} useful list functions: \texttt{.drop(n)},
 | 
| 433 | \texttt{.take(n)} for dropping or taking some elements in a list,
 | |
| 434 | \texttt{.getLines} for separating lines in a string;
 | |
| 435 | \texttt{.sortBy(\_.\_2)} sorts a list of pairs according to the second
 | |
| 436 | elements in the pairs---the sorting is done from smallest to highest; | |
| 437 | useful \texttt{Map} functions: \texttt{.toMap} converts a list of
 | |
| 438 | pairs into a \texttt{Map}, \texttt{.isDefinedAt(k)} tests whether the
 | |
| 439 | map is defined at that key, that is would produce a result when | |
| 440 | called with this key; useful data functions: \texttt{Source.fromURL},
 | |
| 441 | \texttt{Source.fromFile} for obtaining a webpage and reading a file.
 | |
| 127 | 442 | |
| 196 | 443 | \newpage | 
| 444 | ||
| 445 | ||
| 18 | 446 | |
| 129 | 447 | |
| 135 | 448 | |
| 6 | 449 | |
| 450 | %%% Local Variables: | |
| 451 | %%% mode: latex | |
| 452 | %%% TeX-master: t | |
| 453 | %%% End: |