By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics in sports industry
    Here’s How Data Analytics In Sports Is Changing The Game
    6 Min Read
    data analytics on nursing career
    Advances in Data Analytics Are Rapidly Transforming Nursing
    8 Min Read
    data analytics reveals the benefits of MBA
    Data Analytics Technology Proves Benefits of an MBA
    9 Min Read
    data-driven image seo
    Data Analytics Helps Marketers Substantially Boost Image SEO
    8 Min Read
    construction analytics
    5 Benefits of Analytics to Manage Commercial Construction
    5 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: Completing Data Science Tasks in Seconds, Not Minutes
Share
Notification Show More
Latest News
big data mac performance
Data-Driven Tips to Optimize the Speed of Macs
News
3 Ways AI Has Helped Marketers and Creative Professionals Streamline Workflows
3 Ways AI Has Helped Marketers and Creative Professionals Streamline Workflows
Artificial Intelligence
data analytics in sports industry
Here’s How Data Analytics In Sports Is Changing The Game
Big Data
data analytics on nursing career
Advances in Data Analytics Are Rapidly Transforming Nursing
Analytics
data analytics reveals the benefits of MBA
Data Analytics Technology Proves Benefits of an MBA
Analytics
Aa
SmartData Collective
Aa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Science > Completing Data Science Tasks in Seconds, Not Minutes
Data Science

Completing Data Science Tasks in Seconds, Not Minutes

Mito is a powerful new data science tool that is going to transform the future of the data analytics field.

Aaron Diamond-Reivich
Last updated: 2021/03/10 at 10:58 AM
Aaron Diamond-Reivich
6 Min Read
data science projects
Shutterstock Photo License - By marymyyr
SHARE

The mitochondria is the powerhouse of the cell. It’s responsible for creating the energy your cells power your body with. Or something. Biology was a long time ago.

Contents
Easy SmeasyGreat PowerOwnership and flexibilityEasy, Powerful, and Flexible

Mito is the powerhouse of your data analytics workflow. We built Mito to be the first analytics tool that’s easy to use, super powerful, and designed to keep your workflow yours forever.

Easy Smeasy

When it comes to data analytics, not much is easier to use than a spreadsheet. For this reason, spreadsheets have been the predominant tool when it comes to basic data analysis for the past 20 years. If you work with data, you’ve done work in Excel or Google Sheets.

Spreadsheets are easy to use along two dimensions. First, they make it really easy to see and understand what data you’re actually working with – making it easier for you to diagnosis how to proceed with your analysis. Then, once you’re ready to start your analysis, spreadsheets make it easy to point and click your way to a completed, informative analysis — no ‘coding’ required.

More Read

365 Data Science

365 Data Science Courses Free Until November 21

How The Explosive Growth Of Data Access Affects Your Engineer’s Team Efficiency
Here’s Why a Bootcamp Won’t Make You a Data Scientist
Roles of Python Developer in Data Science Teams
5 Reasons for Data Scientists To Learn Ethical Hacking

But spreadsheets aren’t built for large datasets, or complex analytics, or repeatable processes.

Great Power

If you’re looking to analyze large data sets quickly, or to do a complex analysis, or to create a repeatable data analytics process, you’re probably looking to use python. Python is the go to language for modern data analytics. It’s able to support significantly larger datasets than traditional spreadsheets, allows you to do machine learning and AI analytics, and provides infinite opportunities for customization. They also have led to a number of opportunities with predictive analytics.

However, Python is much harder to use and less intuitive than spreadsheets. For one, it’s a lot harder to gain a visual understanding of your data when it’s not all right in front of you. The default visualization of a pandas dataframe, the primary data type for Python data analysis, is not at all interactive and only minimally informative, as it only displays a handful of rows and columns of your dataset. Moreover, actually learning how to manipulate your data in Python in a useful manner can take days or weeks as you learn the necessary syntax and background knowledge to actually complete your analysis. Nobody has ever argued that the pandas syntax is intuitive.

Data analytics tools like Alteryx and Power BI were built to address these usability problems, while also giving users similar power to Python.

Ownership and flexibility

Alteryx and Power BI are point and click data and analysis tools that have the ability to analyze much larger datasets than traditional spreadsheets, but they limit data workers in two ways. First, unlike programming languages, these tools actually lock you into a specific environment. If you do your analysis in Alteryx, you _always_ have to do your analysis in Alteryx. Not only does this lock you into a specific workflow, but it constraints your analysis unnecessarily. If Alteryx doesn’t support the specific analysis tool you require, you’re SOL. This lack of flexibility either forces you to fracture your workflow across multiple tools or alter the question/answer pair you’re pursuing. (It’s also worth noting that tools like Alteryx cost upwards of $5000 a month per user.

Easy, Powerful, and Flexible

Mito was specifically designed with all three of our EDA desires in mind! Our philosophy is that data analysis should be as easy as Excel and Alteryx, but with the power and ownership structure of Python and Pandas. This leads to a tool where you can easily see and interact with your data through a point and click environment, but one where you can also use code to extend your analysis if Mito doesn’t support a specific part of your EDA process.

So, what is Mito? Mito is a spreadsheet extension to JupyterLab that automatically converts your analysis into standard Pandas code. Because Mito is at its core a spreadsheet, your data is default visible and interactive. Just like you’d expect from Excel, you can edit, scroll, and transform your data using the most popular spreadsheet formulas. And because Mito generates Pandas code, it can easily support analyses with millions of rows of data — in fact, we regularly use a 10 million row dataset in our live demos of the tool.

But unlike Alteryx, because Mito generates Python/Pandas code, your analysis is completely yours, just as if you wrote the code by hand! In fact, early Mito users are passing Mito altered dataframes into matplotlib and Scikit-Learn, or even taking their Mito-generated code and putting it on servers to process data as it comes in. You’re completely free to alter and take your analysis with you as you see fit.

TAGGED: Data Science, data science projects, data science tools, data scientists
Aaron Diamond-Reivich March 9, 2021
Share this Article
Facebook Twitter Pinterest LinkedIn
Share
By Aaron Diamond-Reivich
Thinking About F̶i̶l̶e̶ ̶M̶a̶n̶a̶g̶e̶m̶e̶n̶t̶ V̶e̶r̶s̶i̶o̶n̶ ̶C̶o̶n̶t̶r̶o̶l̶ Collaboration. Co-Founder Mito. Ex @ConsenSys

Follow us on Facebook

Latest News

big data mac performance
Data-Driven Tips to Optimize the Speed of Macs
News
3 Ways AI Has Helped Marketers and Creative Professionals Streamline Workflows
3 Ways AI Has Helped Marketers and Creative Professionals Streamline Workflows
Artificial Intelligence
data analytics in sports industry
Here’s How Data Analytics In Sports Is Changing The Game
Big Data
data analytics on nursing career
Advances in Data Analytics Are Rapidly Transforming Nursing
Analytics

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

You Might also Like

365 Data Science
Data Science

365 Data Science Courses Free Until November 21

4 Min Read
data access for engineers
Big Data

How The Explosive Growth Of Data Access Affects Your Engineer’s Team Efficiency

11 Min Read
Data Scientists
Data Science

Here’s Why a Bootcamp Won’t Make You a Data Scientist

5 Min Read
hire the right python developers for your data science team
Python

Roles of Python Developer in Data Science Teams

5 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

  • About
  • Contact
  • Privacy
Follow US

© 2008-23 SmartData Collective. All Rights Reserved.

Removed from reading list

Undo
Go to mobile version
Welcome Back!

Sign in to your account

Lost your password?