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I did not like the way my card was charged the $120 initial annual fee. I only wanted to pay by month. That was misleading and I did not appreciate it. If your going to offer the monthly plan, offer it, make the wording more clear. don't try and trick people into the yearly plan and make them go through customer service to get the refund. The reason I give four stars is because (1) the customer service rep was so helpful in getting me my refund back and (2) you have an awesome product. It is really working well for me.
2017-12-27
Fill in the Blanks!
As per the 'Pro's' above, when edited could be then be immediately sent by mail to my counter-party sitting across a meeting room table. Crucially important for editing legal documents...........
Every had a pdf file or document that you can't collect text sections,OR fill in a form, or add notations or extend a document. I did, and often, and I wanted it to look professional as possible, be online, so access from off office meetings was available, and documents changeable in an instant. One that when edited could be then be immediately sent by mail to my counter-party sitting across a meeting room table. Crucially important for editing legal documents. Then I found PDFfiller, it does that and more and I would highly recommend it, a reasonable cost for an excellent product that continues to update and improve its offering. Keep up the good work!
A little bit cumbersome in remembering how to download a finished document, could be just me, but clearer tags or instructions might help
2019-05-17
ease of use could be a little better
The signature feature is wonderful. Tabbing around the form is easy. It makes signing documents very convenient instead of having to print them out and sign and fax or send back.
It seems like each time I try to do something new, it costs extra. Example is signatures. Only holds 3 signatures.
2017-11-15
the experience was mostly good, however, when coming from a google doc and putting the document here to convert into a pdf, the drop down tabs that were originally in the google doc did not work- in that way, it was tedious.
2023-10-12
Thank you so much for the super prompt reply!
I had somehow removed the date stamp from my digital signature and I could not figure out how to get it back on. Turns out it was a pretty simple fix (doh!). Kara responded super fast to my cry for help. She provided written instructions as well as a screenshot (very helpful!). My date stamp is back on. :)
2023-03-10
Phenomenal customer support.
I use pdf filler occasionally for signing docs, I recently had an issue with the website and dreaded contacting Cust support-and when I finally did it was by far the easiest, quickest interaction I've ever had with a cust support rep.Dee was polite, efficient, and knowledgeable. I was stunned, and impressed-thank you Dee
2022-02-07
I made a mistake and accidentally…
I made a mistake and accidentally signed up for this service. When I got the bill for $96, I was shocked. I thought it was going to be such a hassle and was so pleasantly surprised. I got a full refund within an hour of writing to them with a very nice note.
2021-08-10
I love that I can fill out forms and save them fax them from here and really anything I need to do in one area. I hate that it cost so much cause I’m on a fixed income and don’t have the money to keep it I can only use it for the free 39 days.
2021-02-27
due to ill health and family…
due to ill health and family committments I couldnt utilse my free month very much but what I did use was brilliant especially the erase function. When I start University in September I will probably sign up for it a sit will be useful. the customer service was especially good.
2025-02-24
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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 is a log transformation not possible?
Unfortunately, data arising from many studies do not approximate the log-normal distribution so applying this transformation does not reduce the skewness of the distribution. In fact, in some cases applying the transformation can make the distribution more skewed than the original data.
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 is log transformation skewed?
Notice how large values on the x-axis are relatively smaller on the y-axis. Now, in a right-skewed distribution you have a few very large values. The log transformation essentially reels these values into the center of the distribution making it look more like a Normal distribution.
What does log transformation do to data?
Log Transformations. 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.
Why does log transformation make data normal?
2.1. Using the log transformation to make data conform to normality. If the original data follows a log-normal distribution or approximately so, then the log-transformed data follows a normal or near normal distribution. In this case, the log-transformation does remove or reduce skewness.
How do you interpret log transformed data?
Only the dependent/response variable is log-transformed. Exponential the coefficient, subtract one from this number, and multiply by 100. Only independent/predictor variable(s) is log-transformed. Both dependent/response variable and independent/predictor variable(s) are log-transformed.
Why is data transformation important in statistics?
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.
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