Clean up name in csv

Explore how to clean up name in csv quickly with DocHub

Editing csv is fast and simple using DocHub. Skip downloading software to your laptop or computer and make adjustments with our drag and drop document editor in a few fast steps. DocHub is more than just a PDF editor. Users praise it for its ease of use and powerful capabilities that you can use on desktop and mobile devices. You can annotate documents, generate fillable forms, use eSignatures, and email documents for completion to other people. All of this, put together with a competitive cost, makes DocHub the perfect decision to clean up name in csv files effortlessly.

Your quick guide to clean up name in csv with DocHub:

Add your csv file into your DocHub account.
After you select your document, click it to view it in our editor.
Use robust editing tools to make any adjustments to your record.
Once finished, click Download/Export and save your csv to your device or cloud storage.
Store your documents in your Documents folder for quick access from any device.

Make your next tasks even easier by turning your documents into reusable templates. Don't worry about the security of your data, as we securely store them in the DocHub cloud.

PDF editing simplified with DocHub

Seamless PDF editing

Editing a PDF is as simple as working in a Word document. You can add text, drawings, highlights, and redact or annotate your document without affecting its quality. No rasterized text or removed fields. Use an online PDF editor to get your perfect document in minutes.

Smooth teamwork

Collaborate on documents with your team using a desktop or mobile device. Let others view, edit, comment on, and sign your documents online. You can also make your form public and share its URL anywhere.

Automatic saving

Every change you make in a document is automatically saved to the cloud and synchronized across all devices in real-time. No need to send new versions of a document or worry about losing information.

Google integrations

DocHub integrates with Google Workspace so you can import, edit, and sign your documents directly from your Gmail, Google Drive, and Dropbox. When finished, export documents to Google Drive or import your Google Address Book and share the document with your contacts.

Powerful PDF tools on your mobile device

Keep your work flowing even when you're away from your computer. DocHub works on mobile just as easily as it does on desktop. Edit, annotate, and sign documents from the convenience of your smartphone or tablet. No need to install the app.

Secure document sharing and storage

Instantly share, email, and fax documents in a secure and compliant way. Set a password, place your documents in encrypted folders, and enable recipient authentication to control who accesses your documents. When completed, keep your documents secure in the cloud.

Drive efficiency with the DocHub add-on for Google Workspace

Access documents and edit, sign, and share them straight from your favorite Google Apps.

Install now

How to clean up name in csv

4.6 out of 5

42 votes

hey everyone welcome back to the channel and this one I wanted to cover a subscriber request on how we can remove special characters from our Excel worksheets programmatically weamp;#39;ll do this using Python and pandas letamp;#39;s look at our data first and then weamp;#39;ll get started here in our Excel workbook we just have a little bit of data however in this data we have a lot of special characters that donamp;#39;t belong so letamp;#39;s see how we can use Python to remove these special characters the first thing Iamp;#39;m going to do before we leave Excel is Iamp;#39;ll format these and format all these cells to just have a data type of text this might save us a few headaches later on now that we had that letamp;#39;s go ahead and open up our text editor will be using pandas so go ahead an import pandas as PD and then we need the excel file Pat Iamp;#39;m working in the same directory so mine will just be the name of my excel file so office info xlsx and then like al

Related features

Rework tone in DOTX

Rework tone in DWD

Rework tone in EGT

Rework tone in EPUB

Rework tone in EZW

Rework tone in FDX

Rework tone in FTM

Rework tone in FTX

Got questions?

Below are some common questions from our customers that may provide you with the answer you're looking for. If you can't find an answer to your question, please don't hesitate to reach out to us.

Contact us

How do I clean up a list of names in Excel?

Delete one or more names On the Formulas tab, in the Defined Names group, click Name Manager. In the Name Manager dialog box, click the name that you want to change. Select one or more names by doing one of the following: To select a name, click it. Click Delete. Click OK to confirm the deletion.

How do I separate first and last name in CSV?

Follow these steps: Select the column of names that you want to separate. Click on the Data tab in the ribbon. Click on Text to Columns. Choose the Delimited option. Select the delimiter that separates first and last names for instance, a space character or a comma. Click on Next.

What is the best format for CSV file?

CSV best practices Use commas as separators. Use double quotes for encapsulating values. Use the same number of columns in each row. Use column names in the first row. Use the UTF-8 character set. Use a spreadsheet to export CSV. Be consistent.

How do I format a CSV header?

Start with your full name and make it stand out using a slightly larger font than the rest of the document. Avoid using nicknames, and dont use the word resume on your header. Add your contact information, including your phone number, address, email and LinkedIn profile (if you have one).

How do you format a CSV file name?

The CSV file format is one type of delimiter-separated file format. Delimiters frequently used include the comma, tab, space, and semicolon. Delimiter-separated files are often given a .csv extension even when the field separator is not a comma.

What is .CSV file format example?

A CSV file is a list of data separated by commas. For instance, it may look like the following: Name,email,phone number,address. Example,example@example.com,555-555-5555,Example Address.

How to clean up data in CSV?

1 Check for errors. The first step to clean CSV data is to check for any errors or anomalies that could impede reading or processing the data correctly. 2 Handle missing values. 3 Standardize values. 4 Normalize data. 5 Detect outliers. 6 Validate data. 7 Heres what else to consider.

How to correctly format a CSV file?

Here are the rules for creating CSV files: Separate data fields with a delimiter, usually a comma. Keep each record on a separate line. Do not follow the last record in a file with a carriage return. In the first line of the file, include a header with a list of the column names in the file.

See why our customers choose DocHub

Great solution for PDF docs with very little pre-knowledge required.

"Simplicity, familiarity with the menu and user-friendly. It's easy to navigate, make changes and edit whatever you may need. Because it's used alongside Google, the document is always saved, so you don't have to worry about it."

Pam Driscoll F
Teacher

A Valuable Document Signer for Small Businesses.

"I love that DocHub is incredibly affordable and customizable. It truly does everything I need it to do, without a large price tag like some of its more well known competitors. I am able to send secure documents directly to me clients emails and via in real time when they are viewing and making alterations to a document."

Jiovany A
Small-Business

I can create refillable copies for the templates that I select and then I can publish those.

"I like to work and organize my work in the appropriate way to meet and even exceed the demands that are made daily in the office, so I enjoy working with PDF files, I think they are more professional and versatile, they allow..."

Victoria G
Small-Business

be ready to get more

Edit and sign PDFfor free

Get started now