Predictive Analytics Blog » twitter analysis http://vaultanalytics.com/marketinganalytics Predictive Analytics for Nonprofits Tue, 27 Jul 2010 18:37:01 +0000 http://wordpress.org/?v=2.9.2 en hourly 1 Using The “Linest” Function in Excel For Faster Twitter Potential Reach Analysis http://vaultanalytics.com/marketinganalytics/2009/12/using-the-%e2%80%9clinest%e2%80%9d-function-in-excel-for-faster-twitter-potential-reach-analysis/ http://vaultanalytics.com/marketinganalytics/2009/12/using-the-%e2%80%9clinest%e2%80%9d-function-in-excel-for-faster-twitter-potential-reach-analysis/#comments Mon, 07 Dec 2009 16:15:40 +0000 Curtis Seare http://vaultanalytics.com/marketinganalytics/?p=345 Last time we looked at a way to put together an analysis for the potential reach of a tweet; today we’ll look at a method of using the ‘linest’ function in excel to make the analysis faster. When you go to Twellow to look up the users that would be interested in your business, it will give you a long list of profiles. The only way to get the data into Excel is to type it in manually, so if we want the entire list of sometimes thousands of users, we need a way to cut back on the amount of time it takes. Here’s the method in a few steps:

1. List manually the first 10 to 20 names; you want to be exact with the users that have a substantial amount of followers.

2. After the really large users are entered in, you’ll notice that the number of users doesn’t change drastically from, say, user 25 to user 40. So, we’ll just enter in the two users and use a regression to fill in the rest. This makes our work faster, and we’re still close enough on the numbers for our analysis. How to do this is shown below.

Set up for the regression

Set up for the regression

 

Setting up the linest function

Setting up the linest function

Remember to important things when setting up the ‘linest’ function:
1. Make sure an highlight two adjacent cells before typing it in.
2. After entering the formula, hit ctrl+shift+enter

 

Filling in the data

Filling in the data

Repeat this as many times as necessary to get the complete data set. As you keep going, you can increase the intervals from 15 to 50 to 100, etc.

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