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Plot for Total views and likes of Teja's Webcam Sudoku Solver video on YouTube

This plot is broken.

Error using dateformverify (line 18)
DATESTR failed converting date number to date vector.  Date number out of range.

Error in datestr (line 195)
S = dateformverify(dtnumber, dateformstr, islocal);
  • Created by: Toshiaki Takeuchi
  • Latest result: Error using dateformverify (line 18) DATESTR failed converting date number to date vector. Date number out of range. Error in datestr (line 195) S = dateformverify(dtnumber, dateformstr, islocal);
  • Created on: 06 Feb 2012

"Total Views" and "likes" from Solving a Sudoku Puzzle Using a Webcam by Teja on YouTube and track its growth.

このビデオには 日本語バージョン もあります。

Plot Image
% time1383 and data1383 available for use
% for Total likes of Teja's Webcam Sudoku Solver video on YouTube
% 
% Total views of Teja's Webcam Sudoku Solver video on YouTube
%   time vector is: time1382
%   data vector is: data1382

subplot(2,1,1)

  % Fit the growth of total views
  [p,S,mu] = polyfit(time1382,data1382,1);
  p1 = [p(1)/mu(2) p(2)-p(1)*mu(1)/mu(2)];

  % Project into the future
  tf = [time1382; time1382(end)+1];
  df = polyval(p1,tf);

  % Predict the number for the next day
  d=round(df(end));
  t=datestr(time1382(end)+1,1);
  s=sprintf('Prediction for %s: %d followers',t,d);

  % Predict when it will reach a goal
  goal = 8000;
  g = sprintf('Will reach %d views on ', goal);
  g = [g datestr((goal - p1(2))/p1(1),1)];

  % Was previous prediction correct?
  [p,S,mu] = polyfit(time1382(1:end-1),data1382(1:end-1),1);
  p2 = [p(1)/mu(2) p(2)-p(1)*mu(1)/mu(2)];
  prev = polyval(p2,time1382(end-1)+1);
  prev = round(prev);
  gap = prev-data1382(end);
  t=datestr(time1382(end),1);
  p=sprintf('Prev Prediction for %s off by %d',t,gap);

  % Plot the data and trend
  plot(time1382,data1382, '-');
  hold on
  line(tf,df,'Color','magenta','LineStyle','-')
  plot(time1382(end),prev, 'ro');
  datetick
  title('Total views of Teja''s Sudoku video')
  legend('Total Views','Trend','Prev Prediction', 'Location', 'Northwest')
  xlabel(s)
  hold off
 
  % Get normalized position for annotation
  xrange = xlim;
  xmin = xrange(1);
  xmax = xrange(2);
  yrange = ylim;
  ymin = yrange(1);
  ymax = yrange(2);

  % Add the prediction
  XPos = xmin+0.35*(xmax-xmin);
  YPos1 = ymin+0.2*(ymax-ymin);
  YPos2 = ymin+0.1*(ymax-ymin);
  text(XPos,YPos1,p)
  text(XPos,YPos2,g)

subplot(2,1,2)
  % Adjust the Y axis
  ymin = fix(min(data1383));
  ymax = ceil(max(data1383));

  plot(time1383,data1383, '-');
  datetick
  title('Total likes of Teja''s Sudoku video')
  ylim([ymin-1 ymax+1])
  set(gca,'YTick',ymin-1:ymax+1)
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