General order statistics
Full statistics 
Total orders  
Items sold  
Total revenue  $ 
– items  $ 
– shipping  $ 
– taxes  $ 

Avg. items per order  
Avg. order price  $ 
Avg. orders per min.  

Today statistics (from 0:00 EST) 
Total orders  
Items sold  
Total Revenue  $ 
– items  $ 
– shipping  $ 
– taxes  $ 

Avg. items per order  
Avg. order price  $ 
Avg. orders per min.  


Live Statistics
Order № 
Items 
Cost, $ 
Total Price, $ 
Region 






















Exposition
Here you can observe the influx of orders, ranging from XMLshop's commencement all the way up to the previous day (from 0:00 EST). The orders are published anonymously, with a waiting time of up to 20 minutes. The order numbers are also changed, ensuring the privacy of the given buyers.
Find your name in our customer base
Exposition
Here you can find the people who made orders through XMLshop all the way up to our inception. If you choose a common name, we will list the exact number of people with that name. If you choose a rare name, we will only show that the name has been seen less than 5 times within our database in order ensure privacy for our clients. You can search either by the last or first name, but not both. The names are saved the way our customers entered them. For example, Michael could be Mike or even Mickey. All three of these variations will be listed as separate names.
The hourly distribution of orders
general statistics 
order frequency 
total amount
Exposition
The graph collectively shows the number of orders per minute (blue line) and the average income from sales per minute (green line) relating to the time of the day. The data used has been collected over several years and includes over a million orders for over 100 million U.S. dollars. The time is as shown in the Eastern Time Zone, UTC5. The sources of data and the method of implementation can be seen in "order frequency" and "total amount". For your convenience, the graph also includes the average and maximum values.
Exposition
Every point within this graph represents the average number of orders per minute within a twenty minute range in the last two years. For example, if we want to track the frequency of orders at 10:30, we sum up all of the orders between 10:20 and 10:40 for the last two years. The total comes to 17958 orders which means on average, we get 24.6 orders within these twenty minutes (17958 orders/(365 days out of the year+365)=24.6) This amounts to 1.23 orders per minute (24.6/20=1.23) These 1.23 orders is what you see on the graph under 10:30.
Exposition
Every point within this graph shows the income speed per minute within a twenty minute range for the last two years. For example, if we want to track the income speed at 10:30, we sum up all of the income between 10:20 and 10:40 for the last two years. The total comes to 1120988 dollars, which means on average, we get 1535. 6 dollars within these twenty minutes (1120988 dollars/(365 days out of the year+365)= 1535.6) This amounts to 76.78 dollars per minute (1535.6/20=76.78) These 76.78 dollars is what you see on the graph under 10:30.
The distribution of orders by weekdays
Exposition
The graph shows the distribution of the number of orders and income by days of the week. Blue represents the distribution of the number of orders while green represents the distribution of income. The data is based around the sales statistics ranging several years. For your convenience, the graph also includes the average and maximum values.