This data visualization project used the database of near 20000 comments of the users from TripAdvisor in five years.

The number of reviewers is increased steadily with fluctuation. In December 2016, the total amount jumped to over 400 after a sharply decline in November.

In the second plot, reviewers from different areas is compared during the five years. An overall view is shown as follow. We are able to see people from other areas in UK reviews less than other two groups.

We can see the first half year generally has less visitor reviews than the next half year. However, it should be note that the trend might also influenced by the development of TripAdvisor’s company itself (since the company is developed and the number of users is not invariable.

For London reviewers, the peak season in the first half of a year is May and for the last half is December. The trend is generally stable. A possible reason for why the number of reviews from London residents is continued at a relatively high level is probably because as local people, they would also tend to use TripAdvisor to find suggestions about the local restaurants and willing to share their experience to others.

For most restaurant, we can say each two factors among food, service and value, have a clear linear relationship. The average rating for each factor are aggregated in the range of 3.5 to 4.5.

For popularity, there is no relevance to the restaurants’ quality. The dots with different saturation level scattered disorderly. The restaurant, Union Jack, which has the highest popularity, has a relevant low average rating. However, the second popular restaurant, Pret a Manger, does have a satisfying reflection.

In order to know each restaurant’s name and find out the best restaurant, the name of the restaurant is added in the tag. Therefore, it is able to see a restaurant’s name by moving the mouse to its dot and it won’t be too messy. The exact number of popularity is also shown in this way. Here is a picture to illustrate what the tag looks like.