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I found it relatively easy to use, it would be nice if it had an undo selection. And getting the right size font was not easy. Had to wait for print out to see.
2014-05-12
Managing the signature was difficult and took many attempts. Something near satisfaction was accepted. Otherwise, this app saved me time and made this task easier to complete. Thanks to PDFfiller.
2019-01-31
Great application for getting forms filled out quickly and efficiently. Love the feature of being able to mail directly from the application and have used that several times.
2019-02-07
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I like the choice of fonts because one can add changes or complete empty fields to a pdf and by using a different font from the original text it is clear that the additions are different from the original.. Also I like that one can add circles, check marks, "X" to a doc. And can erase portions of text.
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I dislike that you have to pay extra to add or subtract pages from a pdf.
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My hand writing is very poor. So I use PDFiller to compensate for this deficiency..
I like the choice of fonts because one can add changes or complete empty fields to a pdf and by using a different font from the original text it is clear that the additions are different from the original.. Also I like that one can add circles, check marks, "X" to a doc. And can erase portions of text.
What do you dislike?
I dislike that you have to pay extra to add or subtract pages from a pdf.
What problems are you solving with the product? What benefits have you realized?
My hand writing is very poor. So I use PDFiller to compensate for this deficiency..
2019-05-21
One of the most powerful PDF tools.
With PDFfiller we reduce considerable all of our copies and printing. Now, it's way easier to work with PDF and we don't need fisic paper in our desks.
It also reduce our costs since we use way less paper than before.
This software definitely have so many functionalities, that makes it almost impossible no use it all. The many options to edit and do whatever you want with the PDF makes this software one of the bests.
It could have a longer free trial period.
2019-06-07
Works great, I have never had a problem.
Easy to fill in forms.
Easy to use. Everything is labeled well so you can find what you need to do quick. The files are always where I need them to be.
I haven't had any problems using this software. There isn't anything bad I can say because I haven't ran into anytjing.
2017-11-14
I've been using this app to help me…
I've been using this app to help me edit a workbook PDF that I am using for a course and it has been incredibly helpful. The only issue I am having comes to resizing text boxes, which can be rather cumbersome.
2022-08-22
It's user friendly and I'm figuring it out as I go... just a bit of support with downloading to my google drive and figuring out why/when to use the link would be great.
2021-05-20
Thank you <3
My experience here is great. I've talked to one of their support and she's really nice. She resolved the issue immediately. Thank you so much, K!
2021-04-23
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Why do we do log transformation?
The log transformation can be used to make highly skewed distributions less skewed. This can be valuable both for making patterns in the data more interpretable and for helping to meet the assumptions of inferential statistics. Figure 1 shows an example of how a log transformation can make patterns more visible.
Why do we transform data?
Transforms are usually applied so that the data appear to more closely meet the assumptions of a statistical inference procedure that is to be applied, or to improve the interpretability or appearance of graphs. Nearly always, the function that is used to transform the data is invertible, and generally is continuous.
What happens if log transformation does not normalize data?
1 Answer. Log transformation leads to a normal distribution only for log-normal distributions. Not all distributions are log-normal, meaning they will not become normal after the log transformation.
Why we use log linear model?
If you use natural log values for your dependent variable (Y) and keep your independent variables (X) in their original scale, the econometric specification is called a log-linear model. These models are typically used when you think the variables may have an exponential growth relationship.
How do you convert skewed data in R?
square-root for moderate skew: sort(x) for positively skewed data, log for greater skew: log10(x) for positively skewed data, inverse for severe skew: 1/x for positively skewed data. Linearity and heteroscedasticity:
How do I standardize data in R?
To standardize your data, i.e., data with a mean of 0 and a standard deviation of 1, you can use the scale function from the base package which is a generic function whose default method centers and/or scales the columns of a numeric matrix.
What does the log function do in R?
R log Function. Log() function computes natural logarithms (Ln) for a number or vector. Log10 computes common logarithms (Lg). Log2 computes binary logarithms (Log2).
What is log transformation in dip?
Log transformation The value 1 is added to each of the pixel value of the input image because if there is a pixel intensity of 0 in the image, then log (0) is equal to infinity. During log transformation, the dark pixels in an image are expanded as compare to the higher pixel values.
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