Numpy -Slicing and Dicing: A Beginner’s Guide

Analytics Vidhya

The post Numpy -Slicing and Dicing: A Beginner’s Guide appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction : Numpy is a package for scientific calculation in Python.

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)

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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

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

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.

Faster data exploration in Jupyter through Lux

Domino Data Lab

Lux also supports specifying particular intent and then further slice, dice and filter charts to find one that best suits the problem you’re working on. Outside of performing slice and dice analysis, Lux allows you to bookmark certain visualizations by using the exported property.

The Bite-Size Future of Business Intelligence

Paul Blogs on BI

He did not think people would consume BI dashboards and perform slice-and-dice or complex drill-down functions on their phones.

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.

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.

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.

OLAP 73

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.

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.

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.

The How-To Guide for Cleaning and Preparing Data for Analysis

Juice Analytics

Your data table needs to include enough details to support the slicing and dicing you want to do. Tidying up your data is part science, part art, and all work. If you’re lucky, you’ll get your hands on some perfectly formatting data ( Slack does a nice job, for example).

Documenting and Managing Governance, Risk and Compliance with Business Process

erwin

Organizations and specifically the C-suite are demanding to see risk profiles at different slices and dices of a particular process.

Risk 56

The Art of Data Storytelling

Juice Analytics

In the traditional story spine, they refer to it as “because of that…”; for analytics, we call it “slicing-and-dicing.” Data Storytelling is a powerful way to present data in ways that influence your audience.

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.

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.

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.

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.

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.

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.

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.

Analyzing Data from Multiple Sources: The Key to More Powerful Insights

Sisense

Safety Analytics & Innovation Manager Shaul Shalev said, “We collect hundreds of gigs of data … but unless you have a clear method of slicing and dicing that data and presenting it to users, it’s not really useful. Simple datasets just won’t cut it anymore.

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.

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.

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. .

Experimenting to Win with Data

Sisense

It’s crucial “to be able to slice and dice and go into that detail as you go along because not only do you want to provide information on a holistic view or a high level, but you want to be able to dive deeper.”.

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.

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.

How to Streamline Yardi Financial Reporting

Insight Software

In other words, they are designed to slice and dice very large datasets and to present the information in an intuitive, easily digestible way. Like many sectors of the economy, the real estate industry has experienced massive disruptions over the past year.

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.

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.

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.”.

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.

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.

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.

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.