Indexing and Selecting Data in Python – How to slice, dice for Pandas Series and DataFrame

Analytics Vidhya

The post Indexing and Selecting Data in Python – How to slice, dice for Pandas Series and DataFrame appeared first on Analytics Vidhya. Introduction The Python and NumPy indexing operators [] and attribute operator ‘.’ (dot)

NOS 4.0 Cluster Health – Slices & Dices

Nutanix

It slices and it dices! Nutanix Cluster Health is a new feature that will be another great asset in maintaining availability for your Tier 1 workloads. Cluster Health allows the ability to monitor and visually see the overall health of cluster nodes, VMs and disks from a variety of different views

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NOS 4.0 Cluster Health – Slices & Dices

Nutanix

It slices and it dices! Nutanix Cluster Health is a new feature that will be another great asset in maintaining availability for your Tier 1 workloads. Cluster Health allows the ability to monitor and visually see the overall health of cluster nodes, VMs and disks from a variety of different views

NOS 4.0 Cluster Health – Slices & Dices

Nutanix

It slices and it dices! Nutanix Cluster Health is a new feature that will be another great asset in maintaining availability for your Tier 1 workloads. Cluster Health allows the ability to monitor and visually see the overall health of cluster nodes, VMs and disks from a variety of different views

NOS 4.0 Cluster Health – Slices & Dices

Nutanix

It slices and it dices! Nutanix Cluster Health is a new feature that will be another great asset in maintaining availability for your Tier 1 workloads. Cluster Health allows the ability to monitor and visually see the overall health of cluster nodes, VMs and disks from a variety of different views

How to use SQL with Pandas?

MLWhiz

It lets you slice and dice, groupby, join and do any arbitrary data transformation. Pandas is one of the best data manipulation libraries in recent times.

Getting into Big Data Career: An Overview

DataFloq

The ability to slice and dice big data facilitates predictive analytics and user behavior analytics. The Dice 2020 Tech Job Report labeled data engineer as the fastest-growing job in 2019 with a 50% year-over-year growth in the number of positions. Big data is all about what organizations do with the massive amount of data collected on a day-to-day basis. The data gets collected at a faster rate in varied forms and large volumes.

6 Principles to Make your Data Story Stick

Juice Analytics

Data visualizations are automatically connected together, so slicing-and-dicing is de-facto. The book Made to Stick set forth 6 principles essential to making ideas connect and spread. I was reminded of this list by a recent LinkedIn post by Gilbert Eijkelenboom. Then I was pleased to realize that all these ‘S-U-C-C-E-S’ principles are represented in the functionality of Juicebox.

Data Cube Operations – SQL Queries

Perficient Data & Analytics

OLAP cubes can display and sum large amounts of data while also providing users with searchable access to any data points so that the data can be rolled up, sliced, and diced as needed to handle the widest variety of questions that are relevant to a user’s area of interest. When you think of slicing, think of it as a specialized filter for a particular value in a dimension. Fig 2 – Data cube :Slicing and Dicing. Introduction.

BRIDGEi2i launches two interactive dashboards: COVID19 Global Monitor & COVID Stock Market Impact Monitor

bridgei2i

The Global COVID-19 Monitor gives live insights on the spread of the pandemic across the world and allows you to slice and dice data from many perspectives. California/Bangalore, 16th April 2020. BRIDGEi2i, a leading AI consultancy, has launched two interactive dashboards that highlight the impact of COVID19 globally across businesses and communities.

What is OLAP?

Jedox

The multidimensional approach to data storage allows you to quickly create ad hoc reports, for example by slicing the cube. In other words, a complete “slice” of data points with key figures is extracted, whose “thickness” is determined by a specified time period. Similarly, “dicing,” i.e. the extraction of a smaller cube from the “main cube,” which contains all the data, is another way to parse your data.

OLAP 52

Move Beyond Excel, PowerPoint And Static Business Reporting with Powerful Interactive Dashboards

datapine

They enable you to easily visualize your data, filter on-demand, and slice and dice your data to dig deeper. Soon businesses of all sizes will have so much amount of information that dashboard software will be the most invaluable resource a company can have.

In Times of Rapid Change, Business Process Modeling Becomes a Critical Tool

erwin

They also can slice and dice their models in multiple other ways, such as by functional hierarchies to understand what business groups organize or participate in processes as a step in driving better collaboration or greater efficiencies. With the help of business process modeling (BPM) organizations can visualize processes and all the associated information identifying the areas ripe for innovation, improvement or reorganization.

Data Storytelling: What's Easy and What's Hard

Juice Analytics

Putting data on a screen is easy. Making it meaningful is so much harder. Gathering a collection of visualizations and calling it a data story is easy (and inaccurate). Making data-driven narrative that influences people.hard.

Know Your Data Ingredients

Juice Analytics

These are the ways you slice and dice your metrics. We're so eager to see our data that we forget to look at our data. I've been indulging in more than my share of cooking instructional lessons. A few of my favorites: Claire Saffitz demonstrates how creativity, analysis, and intuition make it possible to replicate your favorite treats, Gourmet-style. Massimo Bottura showed me about how to build on traditional italian cooking to make a dish your own.

Sisense Q4 2020: Analytics for Every User With AI-Powered Insights

Sisense

Often, to find those types of insights, you slice, dice, and filter. Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data.

Migration Supporting Real-Time Analytics for Customer Experience Management

Cloudera

With the ability to separate storage from compute, smg360 will be able to support highly skilled power users and offer them the ability to infinitely slice and dice their data as needed. .

Oracle BI vs Tableau vs Microsoft BI

Perficient Data & Analytics

Slice and dice of data in complex dashboards, through prompts, filters navigation, comparison etc. Introduction. OBIEE: Oracle Business Intelligence Enterprise Edition Plus, also termed as theOBI EE Plus, is Oracle Corporation’s set of business intelligence tools consisting of former Siebel Systems business intelligence and Hyperion Solutions business intelligence offerings.

Semantic Search for Smart Data Discovery in the Pharma Industry

Ontotext

The information can be sliced and diced using analytical dashboards and interactively explored navigating through the knowledge graph. Modern medicine and the Pharmaceutical industry have made tremendous breakthroughs over the past few centuries. From the discovery of penicillin to gene editing, Life Sciences and Pharma have helped treat and prevent many life-threatening diseases.

12 Marketing Reports Examples You Can Use For Annual, Monthly, Weekly And Daily Reporting Practice

datapine

These reports are slicing, dicing, and analyzing data, while connects the dots between your marketing activities and the goals originally set. Let’s face it: every serious business that wants to generate leads and revenue needs to have a marketing strategy that will help them in their quest for profit.

The Backbone of Operations in the Car Rental Industry

Perficient Data & Analytics

To effectively slice and dice this data requires Big Data technology. Digital transformation can absolutely be thought of as improving a website through which a car rental company sells its used vehicles – an important source of revenue for the company. It can also be thought of as enhancing a mobile app that enables customers to make, modify, or cancel reservations, view a car’s mileage and features, or track a car rental shuttle.

Data in the Modern Space Age

Kirk Borne

Some of these technologies are as ubiquitous across today’s world as sliced bread. Whether they are commonplace and widely adopted, or else still in R&D, what powers practically all of them is not sliced bread, but sliced and diced data! It has been said that any technology sufficiently advanced will look like magic.

Common Business Intelligence Challenges Facing Entrepreneurs

datapine

Robust dashboards can be easily implemented, allowing potential savings and profits to be quickly highlighted with simple slicing and dicing of the data. “BI is about providing the right data at the right time to the right people so that they can take the right decisions” – Nic Smith. Data analytics isn’t just for the Big Guys anymore; it’s accessible to ventures, organizations, and businesses of all shapes, sizes, and sectors.

Will AI Increase the Reach of BI and Analytics?

Birst BI

No longer will the business user need to slice and dice the data or ask for more data to answer a business question. The business intelligence (BI) assembly line is broken, with adoption or utilization rates of only 30 percent in a typical organization, according to Gartner [1]. These adoption rates include all the users of the BI system – administrators who manage the system, analysts who build reports, and business users who consume reports for better decision making.

Sisense’s Q2 Release: A Modern Data Experience Across the Analytics Continuum

Sisense

With self-service dashboards, citizen data analysts can build live data models and dashboards without code, and business teams can use dashboards to slice, dice, and drill into anywhere to answer questions autonomously. Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. Today’s organizations are more data-driven than ever.

What is Automated Data Discovery?

Octopai

– Visualizing your data landscape: By slicing and dicing the data landscape in different ways, what connections, relationships, and outliers can be found? Put on your virtual safari helmet and sharpen your navigation skills. We’re going on an expedition of discovery. This is no ordinary, physical journey. We’re exploring the true heart of darkness: the uncharted territory of your data landscape.

Current Financial Performance at Your Fingertips: Financial Ratios

Jet Global

When you have reporting tools that make it easy to slice and dice data from inside and outside the accounting department, you can generate dozens of different financial ratios. Despite years of searching, no one’s ever discovered a magic formula for business success that ensures the right outcome over and over again. But that doesn’t mean we can’t come close. Financial ratios are the best way to understand your current financial performance.

Best Reporting Tools List You Can’t Miss in 2020

FineReport

Pros: The capability of “slice and dice” data, analyze different datasets is powerful. . Reporting tools play vital importance in transforming data into visual graphs and charts, presenting data in an attractive and intuitive manner. An excellent reporting tool will let you gather information conveniently and to have a comprehensive view of your business.

Semantic Search for Smart Data Discovery in the Pharma Industry

Ontotext

The information can be sliced and diced using analytical dashboards and interactively explored navigating through the knowledge graph. Modern medicine and the Pharmaceutical industry have made tremendous breakthroughs over the past few centuries. From the discovery of penicillin to gene editing, Life Sciences and Pharma have helped treat and prevent many life-threatening diseases.

Waking Up The World of Big Data

Sisense

All these devices funnel more and more bits of data into warehouses and lakes the world over and that data is bought, sold, shared, sliced, diced, and drilled into to reveal a wide array of insights (it also gets totally ignored until someone figures out what to do with it). The term “Big Data” has lost its relevance. The fact remains, though: every dataset is becoming a Big Data set, whether its owners and users know (and understand) that or not.

What AI Means to a Retailer Dedicated to Customer Experience

Birst BI

When the data sets are large, with numerous attributes, users spend a lot of time slicing and dicing for newer insights or apply their original hypotheses to a subset of data. Retailers are focused more than ever on quickly adjusting to changing customer preferences and demand. Specialty’s Café and Bakery is a great example of a retailer that is using data to drive decisions related to product development and selection, inventories, staffing, and more to attract and keep customers.

Enterprise Data Integration: Better Data, Smarter Decisions

Sisense

We collect hundreds of gigs of data, but unless you have a clear method of slicing and dicing that data and presenting [those findings] to whoever the user is, it’s not really useful.”. In Transform to Win , we explore the challenges facing modern companies, diving into their individual digital transformations and the people who drive them. Learn about the changes they’re making to not just remain competitive, but win in the future to stand the test of time.

How Errors Propagate If There Is No Single Source of Truth

Jet Global

Finance professionals frequently pull data out of an ERP, transfer it into Excel, slice and dice the information, and adjust the underlying formulas, all manually. Now that organizations run on data, any mistakes in that information can have serious consequences that spread across departments. Take financial reports as an example. If the metrics in those reports are off in any way, it gives decision makers a skewed perspective of enterprise performance.

How to Streamline Report Management to Enhance Your Data-Driven Business

Sisense

A critical part of effectively exploring your data, transforming it into actionable insights, and enhancing decision-making for your business is being empowered to slice and dice your data, and be less dependent on technical resources for new updates. Blog.

Deliver AI-Powered Analytics Apps on Cloud-Native Sisense

Sisense

Currently, data-driven decision making is based on the business users’ ability to successfully filter, slice, and dice known KPIs they want to track and improve upon. Introducing Sisense Release Q3 2019.

The Complete Digital Analytics Ecosystem: How To Win Big

Occam's Razor

You need to slice! You need to dice! Repeat after me: Slice, dice, drill!! The world of digital analytics seems to be insanely complicated. And, yes, some of it is. Third-party or first-party cookies anyone? And, are we tracking people, devices, web browsers or whoknowswhat? But it is a lot less complicated than you might believe. Really. A lot less complicated.

Real-Time Reporting from Your Armchair

Jet Global

Gaining insight from your data requires that users have the power to slice, dice, and filter that information so that it is meaningful and actionable. In the new reality brought on these unprecedented times, the office water cooler has ceased to be the hub for work discussions with colleagues. Like many others, finance and accounting professionals are turning to collaboration tools, as remote work becomes the norm for millions of people around the world.

Go Beyond BI. You Need DI. 4 Ways to Take Data-Driven Business to the Next Level

Sisense

Once you’ve asked the crazy questions, empower your business users to slice and dice the data. Ask any business leader worth their salt if their business is data-driven and they’ll say “Of course we are.” Any other response would soon see them out of a job. But how data-driven are they really? Despite best intentions, this is often more of an aspiration than a reality, and they’re not as data-driven as they think.

The Data Journey: From Raw Data to Insights

Sisense

Dimension tables include information that can be sliced and diced as required for customer analysis ( date, location, name, etc.). We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations.

So Far, VR-Enabled Data Visuailzation is Nonsense

Perceptual Edge

In the not so distant future, I picture the average Joe or Jane regularly making use of their spatial intelligence to slice and dice big data of any kind, because everyone has the basic skill-sets required to play Sherlock Holmes in mixed reality. Few data technologies are subject to more hype these days than VR-enabled data visualization. I have never seen a single example that adds value and therefore makes sense.

Blending Art and Science: Using Data to Forecast and Manage Your Sales Pipeline

Sisense

For sales leaders, what’s hugely empowering is the ability to slice and dice data on the fly, understand what team and individual reps should be achieving, and easily measure the team from a data driven standpoint. Nowadays, sales is both science and art. Best practice blends the application of advanced data models with the experience, intuition and knowledge of sales management, to deeply understand the sales pipeline.

It's Not The Ink, It's The Think: 6 Effective Data Visualization Strategies

Occam's Razor

Too many bars, inside them too many slices, odd color choices, all end up with this question: what the heck's going on here? What you want to do instead is to do all the slicing, dicing, segmentation, beautiful math, and then step above it. Ten years, and the 944,357 words, are proof that I love purposeful data, collecting it, pouring smart strategies into analyzing it, and using the insights identified to transform organizations.

Data scientist as scientist

The Unofficial Google Data Science Blog

As you can see from the tiny confidence intervals on the graphs, big data ensured that measurements, even in the finest slices, were precise. To account for this, we sliced the data by country; we also restricted to pages without images or top ads, to get an intuition for behavior in less complex cases. We sliced and diced the experimental data in many many ways. When they don’t, we cannot tell, so slicing by directly inferred scroll type produces a selection bias.