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  • * Remember the data visualisation principles * [http://bit.ly/DashboardsPeopleLoveToUse A Guide to Creating Dashboards People Love to Use]
    6 KB (663 words) - 06:06, 8 November 2019
  • == Dashboards == <p>The dashboards can be found in https://public.tableau.com/profile/tan.sok.yi#!/vizhome/Ass
    4 KB (648 words) - 22:14, 13 October 2019
  • ..._Kok_Jim_Meng_Interactive Visualisation| <font color="#FFFFFF">Interactive Visualisation</font>]] ==Interactive Visualisation==
    6 KB (841 words) - 22:16, 13 October 2019
  • ...ong Ying_Visualisation|<b><font size="3"><font color="#43464b">Interactive Visualisation</font></font></b>]] <font size="4"><font color="#43464b">'''Interactive Visualisation'''</font></font>
    9 KB (1,359 words) - 21:50, 13 October 2019
  • ...T1_Assign_Lee_Cheng_Leng_Visualisations| <font color="#FFFFFF">Interactive Visualisation</font>]] When the user opens the visualisation tool, they are first greeted by the Homepage.
    7 KB (935 words) - 18:35, 13 October 2019
  • ...T1_Assign_Lee_Cheng_Leng_Visualisations| <font color="#FFFFFF">Interactive Visualisation</font>]] The objectives of the visualisation dashboards are as follows:
    4 KB (529 words) - 14:42, 8 October 2019
  • ...9-20T1_Assign_Victor_Lin_Visualisations| <font color="#FFFFFF">Interactive Visualisation</font>]] ...the case, as well as navigational buttons to each of the dashboards.The 3 dashboards that branch out from here are:'''Overview''', '''Sensor Data''', and '''Cov
    6 KB (944 words) - 23:45, 13 October 2019
  • ..._Kok_Jim_Meng_Interactive Visualisation| <font color="#FFFFFF">Interactive Visualisation</font>]] Finally, I have created the new output that is used for the Tableau visualisation for this assignment.
    9 KB (1,362 words) - 19:27, 12 October 2019
  • ...ong Ying_Visualisation|<b><font size="3"><font color="#43464b">Interactive Visualisation</font></font></b>]] ...round as a whole and determine when the earthquake actually hits. From the visualisation, we can see that there was a surge in damage reports on April 8, 8am. This
    13 KB (2,074 words) - 23:05, 13 October 2019
  • == INTERACTIVE VISUALISATION == ==LOOKING INTO THE DASHBOARDS==
    11 KB (1,718 words) - 22:01, 13 October 2019
  • == Interactive Visualisation and Design Implementation== === Home Dashboard: Interactive Visualisation ===
    23 KB (3,527 words) - 22:04, 13 October 2019
  • <center>The final visualisation can be accessed here[[https://public.tableau.com/views/MC2_Dashboard/Home?: The final interactive visualization consists of a few linked Dashboards organised as follows:
    13 KB (1,815 words) - 22:59, 12 October 2019
  • ...ware such as Tableau and Microsoft PowerBi. However, there is little to no visualisation done on the NBA using self-implemented coding applications such as R Shiny. On a macro scale, the visualisation is able to provide users who are interested in NBA analytics with an initia
    13 KB (1,792 words) - 21:40, 23 November 2019
  • ...ware such as Tableau and Microsoft PowerBi. However, there is little to no visualisation done on the NBA using self-implemented coding applications such as R Shiny. On a macro scale, the visualisation is able to provide users who are interested in NBA analytics with an initia
    13 KB (1,795 words) - 21:39, 23 November 2019
  • ...e tourism industry. Furthermore, Macao’s government does not have a proper visualisation tool for its gaming industry, which is a huge component of the tourism indu ...ing of visitor arrivals, visitor spending, lodging and gaming. Through our visualisation , we aim to identify the relation between the tourism industry, and its two
    21 KB (3,025 words) - 12:39, 22 November 2019
  • ...able insights on how to improve their game. This will be done through data visualisation insights derived from the premier players and teams of the NBA. This visualisation aims to provide insights into the following:
    12 KB (1,651 words) - 19:08, 23 November 2019
  • ...able insights on how to improve their game. This will be done through data visualisation insights derived from the premier players and teams of the NBA. This visualisation aims to provide insights into the following:
    12 KB (1,653 words) - 21:40, 23 November 2019
  • ...hly. The following interactivity elements are also used throughout all the dashboards to maintain consistency:</p> || <center>Navigation across different dashboards with just a click of a button.</center>
    17 KB (2,638 words) - 12:56, 12 October 2019
  • Before I may begin using the data to plot to generate my charts and dashboards, I need to import the above-mentioned data files and create a relationship =Dashboard - Interactive Visualisation=
    22 KB (3,512 words) - 23:58, 13 October 2019
  • ** Effective visualisation to organise multivariate data by hierarchy ** Effective visualisation to see the influx of Visitors from and to Korea.
    13 KB (1,824 words) - 14:59, 8 October 2019

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