If you expect a project to be successful, you’ll need to assign goals. A blog is not just a project, but rather a business that needs a specific direction. Many bloggers fail to set precise goals, and that’s when the chaos begins. Without a roadmap, you’ll never reach the destination.

Therefore, the best way to ensure your blog’s stability and long-term performance is to decide long rearm goals and split them into smaller chunks. Establish milestones, create deadlines, and stick to your plan no matter what.

If you’re ready to learn more about case studies, chances are you have some involvement in back to back marketing meaning your company sells a product or service to other businesses. In a time where skepticism and demands for buyers' attention are at an all time high, case studies are crucial parts of an effective business to business marketing strategy.

All case studies describe a particular research method that provides factual evidence from a specific example. The methods of business case studies are similar to scientific case studies, but instead of trying to cure diseases, Back to Back marketers are trying to make their offerings more compelling to potential customers.

Simply put, a case study is a way to prove your product or service works, with factual evidence from your current customers.

First, you'll need some data. I'm using the 2010 data, and hopefully the 2020 data will likely be structured very similarly. I went to the Census data page, selected the datasets link, and downloaded the csv file for the "Single Year of Age and Sex Population Estimates: April 1, 2010 to July 1, 2017 Civilian". I opened it in Excel, and then saved it as an xls spreadsheet. Here's a sample of what the original data looked likes.

I imported the data using the code below, and then subset to just the columns I wanted. Next I limited the data to the desired state (in this case North Carolina), transposed the data so that each age became a separate column, used SQL to create new variables that grouped the columns into the desired age groups, and then transposed the data again to get it structured such that I could create a stacked bar chart. There are probably a dozen other ways you could have transformed the data to achieve similar results, but here's a link to my SAS code if you'd like to see the details (perhaps you can even recommend some improvements!).

Now let's work on the values shown along the axes. We had to make the male values in the data negative to have them plot to the left of the axis, but we don't want the values to show as 'negative' in the graph. Therefore we can set up a user-defined-format to make the negative values print as positive.

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Hi, This is Andrea Horowitz , and i have published lot of websites and blog post. So i improved my skills and knowledge of my strength .The more clients as a freelance writer and strategist don't just want to see the content has performed.

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