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Very user friendly site. I did lose my first document, since I didn't select the 'DONE' box first. Maybe just a little pop up message on how important that step is would be helpful.
2015-06-21
It can be irritating. There are capabilities in the software that are not immediately obvious. You have to discover them without assistance. e.g. How to reduce font size where that is available.
2016-09-26
VERY GOOD PRODUCT. WISH IT HAD "ADD/SUBTRACT" FUNCTIONS, WHICH WOULD PRECLUDE THE NEED FOR DOING SO MANUALLY AND THEN INSERTING TOTALS/SUBTOTALS MANUALLY.
2018-06-17
A Great Paperless Office Tool
PdfFiller is offers more than just fillable PDF forms. While there are many other options out there, its features stand and makes my work easy. The best features are that I don't need to have any software installed as it works on devices connected to the internet and I can edit an entire PDF document on the web and download to my PC, even during the free version. PDF forms can also be filled with data from spreadsheets and is integrated with google, dropbox and Microsoft cloud storages, which makes it easy to export and import data.
The form templates don't offer much room for creativity. They are more business structured and limits customization.
2023-01-15
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Best customer service ever! I accidentally signed for a year and it cost me an amount of money I can't afford (it doesn't seem much, but when your local currency is way behind USD, it greatly hurts your wallet). After reaching Rachel on pdfFiller's customer service team, they not only refunded me but also waived a month of free access. I couldn't be happier of using it! Recommending it to all my friends, from now on!
2021-05-13
PDF Filler is a great tool for me and my business. However, more fonts would be nice rather than the few that are available, around 10 or so. Also, if I can use art as a watermark instead of just script, that would be amazing. Otherwise, PDFFiller gets the job well done.
2020-10-30
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2020-10-11
Well I am finding this to be quite convenient and plus...
Well I am finding this to be quite convenient and plus having all types of forms, but since most things come in PDF I am loving it for my small business, I can duplicate the state tax for for each company and only fill in the "seller" info and that is so time saving! I think I am going to absolutely love this, its my first day here and already feel super pleased!
2020-08-21
I started using this app this year but…
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2025-03-12
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Should you standardize data before applying PCA?
Yes, it is necessary to normalize data before performing PCA. The PCA calculates a new projection of your data set. If you normalize your data, all variables have the same standard deviation, thus all variables have the same weight and your PCA calculates relevant axis.
Should I standardize before PCA?
Hello ! Yes, it is necessary to normalize data before performing PCA. The PCA calculates a new projection of your data set. And the new axis are based on the standard deviation of your variables.
Why do we standardize data for PCA?
2 Answers. Normalization is important in PCA since it is a variance maximizing exercise. It projects your original data onto directions which maximize the variance. The first plot below shows the amount of total variance explained in the different principal components her we have not normalized the data.
Do you need to standardize data for PCA?
Yes, it is necessary to normalize data before performing PCA. If you normalize your data, all variables have the same standard deviation, thus all variables have the same weight and your PCA calculates relevant axis.
Why do we need to standardize data?
Data standardization is about making sure that data is internally consistent. That is, each data type has the same content and format. Standardized values are useful for tracking data that isn't easy to compare otherwise. For example, suppose you and your friend went to different universities.
What is the goal of PCA?
PCA is a widely used statistical tool for dimension reduction. The objective of PCA is to find common factors, the so called principal components, in form of linear combinations of the variables under investigation, and to rank them according to their importance.
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.
What type of data should be used for PCA?
PCA works best on data set having 3 or higher dimensions. Because, with higher dimensions, it becomes increasingly difficult to make interpretations from the resultant cloud of data. PCA is applied on a data set with numeric variables.
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