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What our customers say about pdfFiller
See for yourself by reading reviews on the most popular resources:
I'm liking the PDFfiller very much! One problem I'm having is when I get ready to type into another area it takes to much time for me to get the click on prompts....for the shaded area peach. I wish that was faste
2019-01-09
I think the learning curve is a little steep. Also, at times the app seems a little counter-intuitive. It's not always easy to find forms you have worked on previously.
2019-10-27
I needed to make editable changes to a document in a short window of time. PDF Filler did the job!
User-friendly and it saved the first draft so I had time to purchase a trial run of the software in order to save the final version on my PC.
I wish that I could've been able to log in and get right to my previously saved work faster. The intro screen and the print screen were rather busy.
2017-11-15
This was easy to work with and understand, now I can get my work done
This was easy to work with, so simple to understand.
converting files was a nightmare, now it's all working so well.
2024-05-27
The Best PDF Field Configuration Sodftware
By Far, the easiest tool and best option to modify PDF and define all Filling fields, however you want. i have no complaints at all, only my gratitude.
2023-06-01
Great program a fairly easy to use
Great program a fairly easy to use. We had to cancel because my company could not justify the expense of the program at this time.
2023-05-11
*** at pdf filler was amazing! I needed a document for an application with the police department and he came through for me, saving me from not making a deadline! Thanks so much ***! Please give this man a raise! **********
2022-10-25
Editable Template
I needed a template to create a one pager for a project and pdf filler was perfect for editing the document. I could even add pictures.
2022-05-29
Fairly easy to navigate
Fairly easy to navigate. Text does not always line up exactly right, but close enough to make the document readable. Overall, very pleased with the service.
2021-03-08
For pdfFiller’s FAQs
Below is a list of the most common customer questions. If you can’t find an answer to your question, please don’t hesitate to reach out to us.
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How do you standardize features?
Standardization (Z-score Normalization) The general method of calculation is to determine the distribution mean and standard deviation for each feature. Next we subtract the mean from each feature. Then we divide the values (mean is already subtracted) of each feature by its standard deviation.
How do you standardize data?
Subtract mean and divide by standard deviation: Center the data and change the units to standard deviations. Subtract mean: Center the data. Divide by standard deviation: Standardize the scale for each variable that you specify, so that you can compare them on a similar scale.
How do you standardize?
Subtract the mean,, from the value you want to convert, X. Divide the result from Step 1 by the standard deviation,.
How do you standardize data by hand?
Subtract mean and divide by standard deviation: Center the data and change the units to standard deviations. Subtract mean: Center the data. Divide by standard deviation: Standardize the scale for each variable that you specify, so that you can compare them on a similar scale.
How do you standardize a sample mean?
We subtract off the mean of X, which is, and divide through by the standard deviation of X, which is n, to obtain a standardized version of the sample mean: X/n.
How do you standardize normal?
When you standardize a random variable, its mean becomes zero and its standard deviation becomes one. Therefore, if the Z score of x is zero, then the value of x is equal to the mean. If the Z score of x is one, then the value of x is one standard deviation above the mean.
Should I normalize or standardize?
In the business world, “normalization” typically means that the range of values are “normalized to be from 0.0 to 1.0”. “Standardization” typically means that the range of values are “standardized” to measure how many standard deviations the value is from its mean. However, not everyone would agree with that.
Is standardization the same as normalization?
The terms normalization and standardization are sometimes used interchangeably, but they usually refer to different things. Normalization usually means to scale a variable to have a value between 0 and 1, while standardization transforms data to have a mean of zero and a standard deviation of 1.
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