It's not hard to work them out. basically you have to divide your statistical data with the number of seconds in the time period the statistical data refers to. It's much easier to understand with an example.
Lets say Google has 2 milion searches every 60 seconds - to find out the RPS we divide 2 milion with 60.
Total Google searches / time period = RPS
2,000,000 / 60 = 33333.33333
If the time frame is a day, a week, a month, or one year, you divide the data with the numbers of seconds in a day, a week, a month or one year.
| Period | Number of Seconds |
|---|---|
| One Minute | 60 |
| One Hour | 3,600 |
| One Day | 86,400 |
| One Week | 604,800 |
| One Month (30 days) | 2,592,000 |
| One Year | 31,536,000 |
| Description | RPS |
|---|---|
| World Population | 3.0002744 |
| Google searches | 33333.3333333 |
| Songs added on Spotify | 0.2333333 |
| Domains registered | 1.1666666 |
| Tracks downloaded from iTunes | 250 |
| New Wordpress blog posts | 5.7833333 |
| New Websites created | 9.5166666 |
| Walmart transactions | 283.3333333 |
| New Tumblr photos | 333.3333333 |
| Emails sent | 3400000 |
| Photos on Instagram | 60 |
| Professional searches on Linkedin | 183.3333333 |
| Amazon Sales | 1383.3333333 |
| Photos shared on SnapChat | 1733.3333333 |
| Tweets on Tweeter | 4633.3333333 |
| Photo Views on Flickr | 333333.3333333 |
| Minutes connecting on Skype | 23333.3333333 |
| Posts on Facebook | 41000 |
| Likes on Facebook | 30000 |
| Hours of video uploaded on YouTube | 1.2 |
| Minutes of video uploaded on YouTube | 72 |
| Seconds of video uploaded on YouTube | 4320 |
| More to come... | data |
On the right side you'll find a notepad widget to help you write down your RPS - the data should carry to the next page you visit.
Sources: qmee blog Wikipedia
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