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2018-04-27
I love it! my only gripe is not being able to send emails with pdf's as normal attachments. I have to send a lot of PDF's to insurance companies and they complain that their systems cannot open the PDF's as sent from pdffiller so I have to take the time to download them from pdffiller, upload them to my CRM, and then attach them in emails. It would be great to be able to save that time. But other than that I am very impressed with the service.
2019-02-14
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
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PDF Filler is great for completing forms, editing existing PDF documents, and digitally signing forms.
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We are only using part of the functionality of PDFfiller. No doubt other businesses will be able to take advantage of more of the features. Well worthwhile.
What problems are you solving with the product? What benefits have you realized?
PDF Filler saves us time in several ways: 1) saves time spent scanning documents, 2) makes completion of third party forms faster and more professional looking, 3) enables editing of existing PDF documents (rather than editing in Word, printing or saving as a PDF and re-signing), and 4) Digital signing.
2019-01-02
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2019-01-29
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2023-06-01
Classify Link Log Feature
The Classify Link Log feature offers a straightforward way to manage and analyze your link data effectively. This tool streamlines your workflow by providing clarity and organization in tracking your links. By using this feature, you enhance your ability to monitor and comprehend how your links perform, which ultimately supports your decision-making process.
Key Features
User-friendly interface for easy navigation
Real-time tracking of link performance
Comprehensive categorization options
Data export capabilities for reports
Integration with existing systems
Potential Use Cases and Benefits
Marketers can analyze link effectiveness in campaigns
Content creators can organize and assess their resources
Businesses gain insights into customer engagement through links
Organizations can maintain compliance with link regulations
Analysts can create detailed reports to inform strategies
If you struggle with managing your link data, the Classify Link Log feature presents a simple solution. By categorizing and tracking your links efficiently, you save time, boost productivity, and enhance your overall link management strategy. This feature empowers you to make informed decisions that lead to better outcomes.
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What is ordinal classification?
(Wikipedia) In statistics, ordinal regression (also called ordinal classification) is a type of regression analysis used for predicting an ordinal variable, i.e. a variable whose value exists on an arbitrary scale where only the relative ordering between different values is significant.
Are ordinal variables categorical?
An ordinal variable is a categorical variable for which the possible values are ordered. Ordinal variables can be considered in between categorical and quantitative variables. Thus, it does not make sense to take a mean of the values.
Which types of variables are categorical?
Categorical Variables. A categorical or discrete variable is one that has two or more categories (values). There are two types of categorical variable, nominal and ordinal. A nominal variable has no intrinsic ordering to its categories.
Is year an ordinal variable?
Ordinal variables are categorical. Finally, year can be a nominal variable. You might have data on the year of death of a number of people.
What is an example of ordinal data?
A common example of nominal data is gender; male and female. Other examples include eye color and hair color. An easy way to remember this type of data is that nominal sounds like named, nominal = named. Ordinal Data. Ordinal data is data which is placed into some kind of order or scale.
Can regression be used for ordinal data?
Ordinal logistic regression (often just called 'ordinal regression') is used to predict an ordinal dependent variable given one or more independent variables. ... As with other types of regression, ordinal regression can also use interactions between independent variables to predict the dependent variable.
What is an ordinal regression analysis?
In statistics, ordinal regression (also called “ordinal classification”) is a type of regression analysis used for predicting an ordinal variable, i.e. a variable whose value exists on an arbitrary scale where only the relative ordering between different values is significant.
Which type of variable would be considered ordinal?
A ordinal variable, is one where the order matters but not the difference between values. For example, you might ask patients to express the amount of pain they are feeling on a scale of 1 to 10. A score of 7 means more pain that a score of 5, and that is more than a score of 3.
Is an ordinal variable categorical?
An ordinal variable is a categorical variable for which the possible values are ordered. Ordinal variables can be considered in between categorical and quantitative variables. Thus, it does not make sense to take a mean of the values.
How do you do ordinal logistic regression in SPSS?
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Ordinal logistic regression using SPSS (July 2019) — YouTubeYouTubeStart of suggested client of suggested clip
Ordinal logistic regression using SPSS (July 2019) — YouTube
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