Every dedicated blogger likes to know how much his blog is read or loved by his visitors both regular and occasional.
He/she would also like to know exactly which posts are the readers' favorites and which ones draw the highest number of comments.
Other relevant statistics include a keyword breakup record and also a record of which search engines are being used.
Web charts on a flash platform makes this process both easy and visually arresting.
If we take it one analytic at a time, we start with a composite bar and line chart that aptly illustrates both your monthly traffic and also the highest number of comments in each month and a drill-down option on each column that tells us exactly which posts were commented on and how many times.
This chart no only makes the job of studying the reception of your blog easier but it also allows from some great planning where you can write what you know will generate the greatest amount of debate or response.
Your blog is accessed by different people through different sources.
Not all of them are your friends and a lot of the visitors are getting to your page through keywords they might have typed out on a search engine.
With reference to this set of analytics, we can create two pie charts, one with the top five keywords that lead to your blog and a second pie chart with a clear segregation between the three sources through which your blog can be reached: search engines, direct link and referrals.
This not only efficiently tabulates all the statistics you want to know, but it also makes the job a visually arresting one.
A third set of analytics involves a set of figures talking about the visitors to your blog and their choice of browser, OS and their current Flash player version.
These statistics are informative as well as utilitarian and can be represented in a set of pie charts that can also be pulled apart and drilled down in to for more information.
This information could involve exact numbers and even user locations for more specific information.
The last set of analytics probably results in the prettiest chart yet.
This data visualization has got to do with tracking the comments that your posts inspire.
It is obvious that some posts will simply generate more comments than the other, now if you want to track the comparative popularity of your posts; you create a bubble chart with the size of each bubble representing the top ten posts in your blog starting from the most popular right to the one in the tenth position.
When hovered over with a mouse, each bubbles tells you exactly how many comments the post has received and a resource box below the chart tells us which the top ten posts are.
He/she would also like to know exactly which posts are the readers' favorites and which ones draw the highest number of comments.
Other relevant statistics include a keyword breakup record and also a record of which search engines are being used.
Web charts on a flash platform makes this process both easy and visually arresting.
If we take it one analytic at a time, we start with a composite bar and line chart that aptly illustrates both your monthly traffic and also the highest number of comments in each month and a drill-down option on each column that tells us exactly which posts were commented on and how many times.
This chart no only makes the job of studying the reception of your blog easier but it also allows from some great planning where you can write what you know will generate the greatest amount of debate or response.
Your blog is accessed by different people through different sources.
Not all of them are your friends and a lot of the visitors are getting to your page through keywords they might have typed out on a search engine.
With reference to this set of analytics, we can create two pie charts, one with the top five keywords that lead to your blog and a second pie chart with a clear segregation between the three sources through which your blog can be reached: search engines, direct link and referrals.
This not only efficiently tabulates all the statistics you want to know, but it also makes the job a visually arresting one.
A third set of analytics involves a set of figures talking about the visitors to your blog and their choice of browser, OS and their current Flash player version.
These statistics are informative as well as utilitarian and can be represented in a set of pie charts that can also be pulled apart and drilled down in to for more information.
This information could involve exact numbers and even user locations for more specific information.
The last set of analytics probably results in the prettiest chart yet.
This data visualization has got to do with tracking the comments that your posts inspire.
It is obvious that some posts will simply generate more comments than the other, now if you want to track the comparative popularity of your posts; you create a bubble chart with the size of each bubble representing the top ten posts in your blog starting from the most popular right to the one in the tenth position.
When hovered over with a mouse, each bubbles tells you exactly how many comments the post has received and a resource box below the chart tells us which the top ten posts are.