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PDFfiller is both handy and speedy, having it at my desktop saves so much time. I never had any training so any problems with it would be entirely my own fault: seems a little clogged when done with the project.
2018-05-30
Meralis Acevedo
Meralis AcevedoI was able to find the form I needed. The only thing is that it was a little difficult figuring out how to use all the features it has. How to modify the text was not something I was able to do through erasing. Maybe using PDFfiller more often will help me maneuver the site with time.
2019-03-05
With pdfFiller the process of filling out pdf forms becomes easier like ABC
PdfFiller is a very comprehensive online PDF editor and form filling platform. With relatively intuitive and easy-to-use features, users can quickly create and fill out documents, forms, and contracts, save signatures, add text, embed images and combine multiple PDFs. In addition, it also provides access to thousands of free templates, cloud storage solutions and compatibility with popular file formats such as Adobe Acrobat and Microsoft Office. The software offers many features, such as customizable templates, unlimited storage and legally binding digital signatures. With its user-friendly interface, PdfFiller is the ideal tool for businesses and individuals who need a quick and efficient digital document management process.
Among the advantages is it's easy to use and navigate interface. Additionally, it has support for over 20 different document formats. It can also access forms quickly and efficiently. The process of filling out the form is electronic and sign the document with the eSignature feature so multiple users can collaborate on the document at the same time. It also has special security features to keep all data safe.
The downside is that the existing form templates are very limited. It's also inappropriate.for relatively long documents besides mac or iOS version is not provided besides it has a subscription fee to pay.
2023-02-26
Communication & follow through on point.
Only ever used Adobe in the past. Found this affordable option. It is fantastic. User friendly and an effective app. I applied for a rental with a heap of forms to fill out and now our family are living in it.
I accidentally signed up for the 1year subscription. I contacted the help desk, and advised that I only wanted to use it during the trial period for a purpose and happy to pay for one month.
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2022-03-28
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Great customer service, very quick reply and they took care of my issue immediately. Highly recommend this company. I did use the service as a free trial once and it's well worth the yearly fee if you have a need for a service where you can fill out, update and/or use .pdf documents.
2021-05-26
This is one handy app
This is one handy app! I'm constantly having to sign this or sign that but pdfFiller makes the process so simple and seamless. Gone are the days of printing my doc, signing it, and then scanning it back to HR at our corporate offices. pdfFiller has saved me a ton of time! I love it1
2021-05-25
Great customer service staff readily…
Great customer service staff readily available, they don't waste anytime contacting you or getting you the support you need. Highly recommend.
2021-02-03
I gave a bad review initially
I gave a bad review initially. I didn’t get the help I needed. Immediately someone else reached out. My issue was resolved within a few hours. I’m happy with the help I got the second time around. Thank you Gerald!
2020-08-19
I signed up originally to utilise this service. Whilst I did not wish to continue with the service (just wouldnt need it again) I did struggle to cancel the service. I sent an email outlining my issue and got the quickest response back and my account fixed and funds returned. Great service if you do require all the time. Easy to use. Highly recommend.
2020-07-25
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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.
What are log transformed variables?
A typical use of a logarithmic transformation variable is to pull outlying data from a positively skewed distribution closer to the bulk of the data in a quest to have the variable be normally distributed.
What does it mean to log transform data?
The log transformation is, arguably, the most popular among the different types of transformations used to transform skewed data to approximately 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.
Why do we log transform variables?
The Why: Logarithmic transformation is a convenient means of transforming a highly skewed variable into a more normalized dataset. When modeling variables with non-linear relationships, the chances of producing errors may also be skewed negatively.
How do you interpret logged variables in regression?
2:52 6:37 Suggested clip Log-Level Regression & Interpretation (What do the Regression YouTubeStart of suggested client of suggested clip Log-Level Regression & Interpretation (What do the Regression
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 do you log transform 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.
How do you interpret regression results?
The regression line on the graph visually displays the same information. If you move to the right along the x-axis by one meter, the line increases by 106.5 kilograms. Keep in mind that it is only safe to interpret regression results within the observation space of your data.
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