Our group met up a few times to discuss and come up with solutions for some of the challenges we had. These are some of our solutions
Too much yet too little data
Instead of displaying the daily evolution of interactions for the entire year, we summarized our information by displaying the average interaction for each month of the year. After which, we focused on the month of October to display the daily evolution for each of the metrics, since the most recent data we received is in October. These allow us to present as much information as possible and yet, not crowd our infographic with line charts.
Data given was difficult to analysed
Fortunately, with the focus on a real company Paris
Saint-Germain, we dealt with the lack of interesting findings by analysing
their actual official Facebook page. For our chart on monthly evolution, we
identified the Facebook post for each month that potentially has the highest
number of interactions based on the likes, shares and comments we observed. For
our charts on daily evolution in October, we focused on suggesting the Facebook
posts that could potentially caused the apparent spikes observed.
This is what our group came up with after one of our group meetings
However, we felt that the post that we select for each month is too small and unattractive as seen from above. Hence, we used icons to represent and classify the content of the selected posts instead of displaying the full content of the actual posts.
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