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This is the greatest help to any business....I am amazed how user friendly and professional this makes for any business large or small. WOW ! Hats off to PDFfiller.
2015-02-12
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The log-in process for the patient who has never used this service. We have a few patients who value their privacy and would rather not have to create an account in order to complete a form.
What problems are you solving with the product? What benefits have you realized?
PDFfiller is wonderful for our new patients! We send them to our website and have them navigate to where we have the clickable button to either complete the forms online or to print and bring them with to their appointment.
We like PDFfiller because our patients don't want to have to waste precious minutes of their appointment time completing a health history update in the office. It's much simpler, not to mention faster, to have them do it at home and submit it when they're done!
What do you dislike?
The log-in process for the patient who has never used this service. We have a few patients who value their privacy and would rather not have to create an account in order to complete a form.
What problems are you solving with the product? What benefits have you realized?
PDFfiller is wonderful for our new patients! We send them to our website and have them navigate to where we have the clickable button to either complete the forms online or to print and bring them with to their appointment.
2019-11-05
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I like that I can read-only PDFs straight from Gmail - previewing with PDFfiller is way easier than having to download through Adobe.
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2018-07-30
Takes a little getting used to, but not bad
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Took some getting used to as I had used different products in the past. Other than that, there really is nothing bad about this software.
2018-02-12
Well
Well, this is my first experience and it was very well, although I will be sure of this assestment until I receibe the opinion of my coleges since they will read the edited pdf.
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The only thing that I didn't like, was that I select the option to pay 15 dlls and the charge to my credit card was almost twice.
2023-10-11
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2021-03-24
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How easy it is to use, the signature function too.
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History saves only one document and can't change it.
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It's great, so don't hesitate
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Don't need a printer and scanner to fill out documents
2021-02-15
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The easy use of the site and easy upload of forms and documents
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Not much not to like. Everything that I need is available
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I use it for contracts
2020-08-27
There are some glitches
There are some glitches, like if you type to fast it will double or triple the word your typing. But other than that it's great.
2020-04-18
Discard Columns Record Feature
The Discard Columns Record feature helps you manage your data efficiently. This tool allows you to clean up your records by removing unnecessary columns, making your datasets more streamlined and easier to use.
Key Features
Remove multiple columns in one action
Keep your data organized and relevant
Enhance data processing speed
Reduce storage needs
Improve data visualization
Potential Use Cases and Benefits
Simplify reports by eliminating irrelevant data
Prepare datasets for machine learning models
Streamline data import processes by focusing on essential information
Facilitate better data analysis and decision-making
Improve collaboration among team members by sharing concise data
By adopting the Discard Columns Record feature, you can solve common data management issues. This tool empowers you to focus on what matters, optimize performance, and ensure that your datasets serve your needs effectively.
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How do I drop columns from a data frame?
To delete rows and columns from Databases, Pandas uses the drop function. To delete a column, or multiple columns, use the name of the column(s), and specify the axis as 1. Alternatively, as in the example below, the 'columns' parameter has been added in Pandas which cuts out the need for 'axis'.
How do I drop multiple columns in pandas?
Pandas' drop function can be used to drop multiple columns as well. To drop or remove multiple columns, one simply needs to give all the names of columns that we want to drop as a list. Here is an example with dropping three columns from gap minder data frame.
How do I get rid of multiple columns in pandas?
Deleting rows and columns (drop) To delete rows and columns from Databases, Pandas uses the drop function. To delete a column, or multiple columns, use the name of the column(s), and specify the axis as 1.
How do I drop multiple rows in pandas?
Delete a Multiple Rows by Index Position in Database As of. drop() function accepts only list of index label names only, so to delete the rows by position we need to create a list of index names from positions and then pass it to drop(). As default value of place is false, so contents of DOB will not be modified.
How do I drop a column in SQL?
ALTER TABLE “table_name” DROP “column_name”;
ALTER TABLE “table_name” DROP COLUMN “column_name”;
ALTER TABLE Customer DROP Birth_Date;
ALTER TABLE Customer DROP COLUMN Birth_Date;
ALTER TABLE Customer DROP COLUMN Birth_Date;
How do I merge two Databases in pandas?
To join these Databases, pandas provides multiple functions like conceit(), merge(), join(), etc. In this section, you will practice using merge() function of pandas. You can notice that the Databases are now merged into a single Database based on the common values present in the ID column of both the Databases.
How do I drop a row in a data frame?
Delete a Multiple Rows by Index Position in Database As of. drop() function accepts only list of index label names only, so to delete the rows by position we need to create a list of index names from positions and then pass it to drop(). As default value of place is false, so contents of DOB will not be modified.
How do I delete a row in a data frame?
Rows can also be removed using the drop function, by specifying axis=0. Drop() removes rows based on labels, rather than numeric indexing. To delete rows based on their numeric position / index, use IOC to reassign the data frame values, as in the examples below.
How do I drop empty rows in pandas?
Drop Empty Rows or Columns If you're looking to drop rows (or columns) containing empty data, you're in luck: Pandas' drop() method is specifically for this. Technically you could run MyDataFrame. Dropna() without any parameters, and this would default to dropping all rows where are completely empty.
What does calling the method Database Drop () return?
Python | Pandas Database.drop() Pandas drop() method allows the user to analyze and drop Rows/Columns with Null values in different ways. ... 'any' drops the row/column if ANY value is Null and 'all' drops only if ALL values are null.
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