The performance of any web site can be analyzed in the Fourier sense during a given time-window provided comprehensive statistics exist for that time-window.

Before we attempt an analysis, we need to decide what exactly constitutes a *signal* for a web site. The most prominent characteristic of *any* web site is the number of *pageloads* (L) or *hits* it receives, therefore we can define the signal of a web site to be related to the number of hits the web site receives.

Owners of web sites are primarily interested in *increasing* their web site's hits because this increases the web site's *popularity*, therefore if the hits go up the performance is becoming better and if the hits go down the performance is worsening.

We are therefore interested in the total *variance* of hits, or, in other words, in tracking the ups and downs of hits for the web site in question. If p is the period of the time-window in question, we have available data about the total number of hits/p as L[n] from a web page's statistics counter, therefore we can define the web site variance, as:

In turn, (1) now defines a web site signal in terms of the Heaviside step function H, as:

Once we have a signal S(t), we can analyze it in the Fourier sense using Maple. Follows the analysis for this web site starting with year 2011^{[1]}.

__Weekly Performance__

Week # | Hits^{[2]} |
S(t)/F_{25}(t)^{[3]} |
Spectrum^{[4]} |
Trend^{[5]} |

1 (2-8/1) |
390,539,434,449,515,479,345 | - | ||

2 (9-15/1) |
438,452,552,484,524,575,505 | + | ||

3 (16-22/1) |
532,498,576,543,611,608,604 | + | ||

4 (23-29/1) |
480,540,539,577,472,457,343 | - | ||

5 (30/1-5/2) |
442,538,648,477,448,473,397 | - | ||

6 (6/2-12/2) |
340,479,481,608,684,527,421 | + | ||

7 (13/2-19/2) |
468,593,650,564,592,496,441 | - | ||

8 (20/2-26/2) |
447,686,636,707,521,498,472 | + | ||

9 (27/2-5/3) |
518,571,563,627,585,519,464 | - | ||

10 (6/3-12/3) |
578,607,608,656,640,539,429 | - |

__Monthly Performance__

Month | Hits^{[2]} |
S(t)/F_{25}(t)^{[3]} |
Spectrum^{[4]} |
Trend^{[5]} |

January | 3199,3624,3920,3370 | + | ||

February | 3321,3625,3804,3967 | + | ||

March | 3847,4057,3827,3825 | - | ||

April | 4270,4005,3987,3494 | - |

__Yearly Performance__

Year | Hits^{[2]} |
S(t)/F_{25}(t)^{[3]} |
Spectrum^{[4]} |
Trend^{[5]} |

2011 | 15260,14006,16457,14293,13414,10568, 9489,10504,14295,19956,19482,17323 |
+ |

- Starting with year 2011, mainly because StatCounter has been unreliable as a data collection source in the past because of power outages which caused loss of data. Even disregarding these previous problems, the StatCounter servers have lately been
*blocked*in many US locations (many standard "hosts" files distributed on the net now include 127.0.0.0 blocks to StatCounter), and the blocked locations continue to increase as a function of time, so the data is now completely unreliable as it misses a large percentage of visitors. - Daily, weekly or monthly web site hits for time-window in question as recorded on StatScounter for the first six weeks, then as recorded on Google Analytics for the indicated dates. Hits by the author to his own web site have been excluded.
- Weekly, monthly or yearly signal S(t) (2) for this web site (red) and Fourier Series approximation with 25 terms (green).
- Weekly, monthly or yearly Harmonic Spectrum of S(t), showing amplitude of first 10 harmonics. From left to right: 0-th harmonic (DC-term) (red), 1-st harmonic (dominant) (green), 2-nd harmonic (yellow), 3-rd harmonic (blue), 4-th harmonic (magenta), 5-th harmonic (cyan), etc. Note that the n*p-th harmonic for n \in N is always 0. Note sharp change in intensity of harmonics during February, the month that the switch from StatCounter to Google Analytics took place.
- v
_{p}>0, Trend: +. v_{p}<0, Trend: -. v_{p}=0, Trend: undefined.