Projekt Toronto Parking Tickets: Unterschied zwischen den Versionen
itawiki>Bakera (angelegt) |
itawiki>Bakera K (→Auftrag) |
||
Zeile 5: | Zeile 5: | ||
: Your mission is to write a program to figure out which Toronto street gave the city the most revenue from parking tickets in the first three days of January 2012. |
: Your mission is to write a program to figure out which Toronto street gave the city the most revenue from parking tickets in the first three days of January 2012. |
||
: |
: |
||
− | : [http://bakera.de/wp/wp-content/uploads/2013/11/Parking_Ticket_Contest_Data.zip |
+ | : [http://bakera.de/wp/wp-content/uploads/2013/11/Parking_Ticket_Contest_Data.zip Here is a CSV file] containing data of all parking tickets issued in Toronto from Jan 1 2012 to Jan 3 2012. This is actual data taken from the Toronto Open Data website. Simply include the CSV file in your project (create a file of the same name and copy-paste its contents) and code your logic to read and parse it accordingly. For better readability, you can open the CSV file in Excel too. |
: |
: |
||
: Also, here is a readme file that contains info on the metadata provided in the CSV file. You can use this file as a reference to better understand the data in the CSV file. |
: Also, here is a readme file that contains info on the metadata provided in the CSV file. You can use this file as a reference to better understand the data in the CSV file. |
Version vom 18. Februar 2014, 14:48 Uhr
Projektinformationen | |
---|---|
Aufwand (Ph) | 8 |
Teamgröße | 1-2 |
Schwierigkeitsgrad | mittel |
Ansprechpartner | Herr Bakera |
Projekttag |
Auftrag
- Your mission is to write a program to figure out which Toronto street gave the city the most revenue from parking tickets in the first three days of January 2012.
- Here is a CSV file containing data of all parking tickets issued in Toronto from Jan 1 2012 to Jan 3 2012. This is actual data taken from the Toronto Open Data website. Simply include the CSV file in your project (create a file of the same name and copy-paste its contents) and code your logic to read and parse it accordingly. For better readability, you can open the CSV file in Excel too.
- Also, here is a readme file that contains info on the metadata provided in the CSV file. You can use this file as a reference to better understand the data in the CSV file.
(Taken from http://www.programmr.com/toronto_parking_ticket_contests)
Projektgruppen
Bitte tragt euch für das Projekt auf der Seite Projekte von Herrn Bakera ein.
Meilensteine
- Löse das oben geschilderte Problem.
- Erstelle mit Hilfe einer Karte von Toronto eine Visualisierung für das Problem.