# Statistics

The statistics are carried out on the results of the research. For a Tweet to be taken into account in statistics, it must therefore belong to the selected source and verify both the criterion and the filter.

By default, a summary is displayed. To change the statistic to display, simply choose the one you want from the drop-down list:

Here are the statistics available for now:

## Summary

Summarizes in a few figures the result of the research:

Some explanations on these figures:

**Number of Tweets**is the number of Tweets found.**Total number of Retweets**is the sum of the Retweets of all the found Tweets.**Example**: if the result of the search contains 2 Tweets retweeted 100 times for one and 200 times for the other, this number is 300 = 100 + 200.**Average number of Retweets**is the total number of Retweets reported to the number of Tweets.**Example**: if the result of the search contains 2 Tweets retweeted 100 times for one and 200 times for the other, this number is 150 = (100 + 200) / 2.**Total number of likes**: same as the total number of Retweets, but for the likes.**Average number of likes**: same as the average number of Retweets, but for the likes.

## Activity

### Number of Retweets

Displays the distribution of the Retweets:

This chart shows the percentage of Tweets with a number of Retweets not exceeding a given amount. For example, in the graph above, we see that just under 90% of the Tweets have no more than 50 Retweets. By moving your mouse over the graph, you get more precise figures:

An interesting indicator, better than the average (see Summary) which is strongly influenced by extreme values, is the median. You can get an approximation by positioning the mouse cursor as close as possible to the point of the curve corresponding to a percentage of 50%. In our example, the closest point corresponds to a Retweets count of 23, which means that about half of the Tweets have less than 23 Retweets and the other half has more:

### Number of likes

Displays the distribution of the likes.

Operation is analogous to the number de retweets.

## Hashtags

Displays the most Tweeted, Retweeted or liked hashtags.

By unchecking the `Sort by frequency`

box, hashtags are displayed in alphabetical order.

You can click on a hashtag to search on Twitter.

### Most tweeted hashtags

Displays the 100 hashtags appearing most often in the found Tweets:

In the example above, the most Tweeted hashtag is #Twitter, which appears in 593 Tweets.

### Most Retweeted hashtags

Displays the 100 hashtags that generated the most Retweets:

You see here that the most Retweeted hashtag is #favor which received 20637 Retweets. This means that the 308 Tweets (see the chart in the previous section) containing #favor generated a total of 20637 retweets (the sum of the Retweets of the 308 Tweets).

### Most Reweeted hashtags on average

Displays the 100 hashtags that generated the most Retweets by Tweet, on average:

Here is #brand who takes the lead with an average of 123 Retweets, which means that the Tweets containing this hashtag have been Retweeted on average 123 times. The Tweets containing #favor have been Retweeted on average 67 times (corresponding to 20637/308: see previous section).

### Most liked hashtags

Same as Most Retweeted hashtags, but for the likes.

### Most liked hashtags on average

Same as Most Retweeted hashtags in average, but for the likes.

## Mentions

The statistics on the mentions work in the same way as for hashtags.

## Authors

The statistics on the authors of Tweets work in the same way as for hashtags.

## Hours

The hourly statistics gives you the time distribution of the selected Tweets depending eventually on the number of Retweets or likes they get.

### Hourly distribution of the number of Tweets

Indicates for each hour the number of Tweets created during this time:

In the example, 206 Tweets were sent between midday and 1pm.

### Hourly distribution of the total number of generated Retweets

The graph shows for each hour the total number of Retweets generated by the Tweets created during this time:

In the example, the Tweets sent between midday and 1pm have generated until now 7168 Retweets.

### Hourly distribution of the average number of Retweets generated by Tweet

The graph shows for each hour the average number of Retweets generated by Tweet by the Tweets created during this time:

In the example, the Tweets sent between middday and 1pm were Retweeted on average 35 times but the best time is between 9 and 10pm with 43 Retweets by Tweet on average.

### Hourly distribution of the total number of likes generated

Same as Hourly distribution of the total number of generated Retweets, but for the likes.

### Hourly distribution of the average number of likes generated by Tweet

Same as Hourly distribution of the average number of Retweets generated by Tweet, but for the likes.