The Data Visualisation Catalogue

APRIL 8, 2024

One of the notable features of a Beanplot is its ability to highlight anomalies in the data, such as bimodal distributions or duplicate measurements. Beanplot: A Boxplot Alternative for Visual Comparison of Distributions, Peter Kampstra Figure 4: An asymmetric beanplot of the singers. Long, bold lines correspond to mean of each group.

Snapshot 86

Snapshot Visualization Statistics Measurement 86

The Data Visualisation Catalogue

FEBRUARY 20, 2024

A Bagplot is a visualisation method used in robust statistics primarily designed for analysing two- or three-dimensional datasets. The key purpose of a Bagplot is to provide a comprehensive understanding of various statistical properties of the dataset, including its location, spread, skewness, and identification of outliers.

Snapshot 77

Snapshot Statistics Visualization Measurement 77

AWS Big Data

JUNE 6, 2023

AWS Glue Data Quality allows you to measure and monitor the quality of data in your data repositories. An operational scorecard is a mechanism used to evaluate and measure the quality of data processed and validated by AWS Glue Data Quality rulesets. The crawler builds a Data Catalog, so the data can be queried using Athena.

Data Quality 69

Data Quality Metrics Visualization Dashboards 69

datapine

JANUARY 6, 2022

Through the art of streamlined visual communication, data dashboards permit businesses to engage in real-time and informed decision-making and are key instruments in data interpretation. Interval: a measurement scale where data is grouped into categories with orderly and equal distances between the categories.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

Smarten

APRIL 25, 2024

What you need are apps and solutions that allow you to ask easy questions in your own words and receive guidance and recommendations on how to best visualize and present your data and what techniques to use to gain the most insight. These measures empower them with a deeper understanding of their data like never before.

Data Quality 62

Data Quality Analytics Machine Learning Visualization 62

datapine

JANUARY 24, 2021

Once you have your data analytics questions, you need to have some standard KPIs that you can use to measure them. OK – so far, you’ve picked out some data analysis questions, and you’ve found KPIs to measure them. There are basically 4 types of scales: *Statistics Level Measurement Table*. Did the best according to what?

IT 317

IT Statistics KPI Data-driven 317

CIO Business Intelligence

JULY 5, 2022

Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. Business analytics also involves data mining, statistical analysis, predictive modeling, and the like, but is focused on driving better business decisions.

Business Analytics 124

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 124

FineReport

FEBRUARY 25, 2020

To this end, I’ve used the knowledge of data visualization to design dashboard templates for five scenarios, hoping to help relevant organizations or enterprises effectively monitor the epidemic situation and carry out prevention and control work. Employee travel statistics dashboard. Top 16 Types of Chart in Data Visualization.

Visualization 105

Visualization Dashboards Risk Reporting 105

datapine

MARCH 31, 2022

According to the US Bureau of Labor Statistics, demand for qualified business intelligence analysts and managers is expected to soar to 14% by 2026, with the overall need for data professionals to climb to 28% by the same year. The Bureau of Labor Statistics also states that in 2015, the annual median salary for BI analysts was $81,320.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

CIO Business Intelligence

JUNE 7, 2022

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance.

Data Analytics 127

Data Analytics Diagnostic Analytics Management Analytics 127

CIO Business Intelligence

JUNE 14, 2023

Certifications measure your knowledge and skills against industry- and vendor-specific benchmarks to prove to employers that you have the right skillset. Candidates show facility with data concepts and environments; data mining; data analysis; data governance, quality, and controls; and visualization.

Big Data 125

Big Data Data Analytics Analytics Predictive Modeling 125

DataKitchen

NOVEMBER 18, 2022

Logs and storage for problem diagnosis and visualization of historical trends. Observability users are then able to see and measure the variance between expectations and reality during and after each run. Real-time details are not the only purpose for setting and measuring against expectations. An event or rules engine.

Testing 130

Testing Statistics Measurement Metrics 130

Smart Data Collective

SEPTEMBER 2, 2023

With better benchmarks, KPIs, and statistics , business leaders can better understand their environments and ultimately make more objective, logical decisions. Key performance indicators (KPIs) can serve as excellent measuring sticks that guide your progress and allow you to define and evaluate success. For example: Fixation on KPIs.

Key Performance Indicator 115

Key Performance Indicator Statistics Metrics Interactive 115

datapine

JULY 17, 2019

KPI is a value measured to assess how effective a project or company is at achieving its business objectives. In other words, KPIs provide organizations with the means of measuring how various aspects of the business are performing in relation to their strategic goals. Set up a report which you can visualize with an online dashboard.

KPI 223

KPI Reporting Key Performance Indicator Dashboards 223

AWS Big Data

JUNE 6, 2023

For example, medical researchers found that across 79,000 emergency department encounters of pediatric patients in a hospital, incorrect or missing patient weight measurements led to medication dosing errors in 34% of cases. They have to gather detailed data statistics, such as minimums, maximums, averages, and correlations.

Data Quality 93

Data Quality Statistics Data Lake Visualization 93

datapine

AUGUST 28, 2019

Stories inspire, engage, and have the unique ability to transform statistical information into a compelling narrative that can significantly enhance business success. According to a study performed by Skyword, content that features a mix of words and visuals drives 34% more engagement than text-only articles, blog posts, or whitepapers.

KPI 193

KPI Visualization Dashboards Data-driven 193

datapine

SEPTEMBER 29, 2022

5) How Do You Measure Data Quality? In this article, we will detail everything which is at stake when we talk about DQM: why it is essential, how to measure data quality, the pillars of good quality management, and some data quality control techniques. How Do You Measure Data Quality? Table of Contents. 2) Why Do You Need DQM?

Data Quality 241

Data Quality Metrics Data-driven Management 241

Smart Data Collective

OCTOBER 8, 2023

It is an interdisciplinary field, combining computer science, statistics , mathematics, and business intelligence. Data Analysis The cleaned data is then analyzed using various statistical techniques and algorithms. This might include creating visualizations, such as graphs or charts, or writing detailed reports.

Data Analytics 95

Data Analytics Analytics Statistics Data Collection 95

Sisense

OCTOBER 6, 2020

Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively. All descriptive statistics can be calculated using quantitative data. Digging into quantitative data. or “how often?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

FineReport

DECEMBER 9, 2021

Business intelligence strategy is seen as a roadmap designed to help companies measure their performance and strengthen their performance through architecture and solutions. KPI (Key Performance Indicator)-the indicator you will use to measure performance. BI visualization to analyze cost(by FineReport). Set up a team.

Strategy 98

Strategy Business Intelligence KPI Key Performance Indicator 98

CIO Business Intelligence

JANUARY 17, 2024

In addition, he adds, flexibility also stands out, since it allows the brand to customize deliverables according to specific needs and preferences of each client, using different formats, languages, ​​and visualizations. According to Mohammed, the results of this digital transformation journey are measurable and impressive.

Digital Transformation 112

Digital Transformation Dashboards Reporting Data Science 112

FineReport

MARCH 7, 2024

Pattern Recognition The goal is data cleansing, transforming unstructured data into structured data for statistical purposes, data exploration, pattern recognition, and the formulation of viewpoints for data analysis reports. These reports distill viewpoints for guiding operations based on statistics, hotspots, and audience analysis.

Dashboards 52

Dashboards Reporting Advertising Statistics 52

FineReport

JUNE 29, 2023

An IoT dashboard serves as a data visualization instrument that restructures and presents a set of data obtained and transmitted by network-connected devices. Data Collection The components required for your specific case may vary depending on your goals and the data to be visualized. IoT dashboards What is IoT Dashboard?

IoT 52

IoT Dashboards Visualization Cost-Benefit 52

Depict Data Studio

AUGUST 28, 2023

For numbers , we need to tabulate them using descriptive statistics , which often aren’t possible with pivot tables. Formulas: Play Well with Quick Vizzes Formulas feed seamlessly into at-a-glance visualizations, like spark lines , data bars , heat tables , and symbol fonts. Pivot tables don’t.)

Statistics 52

Statistics Dashboards Interactive Measurement 52

Smarten

JUNE 17, 2022

.” The Information Technology Amendment Act of 2009 designated CERT-IN as the national agency to perform functions for cyber security, including the collection, analysis and dissemination of information on cyber incidents, as well as taking emergency measures to handle incidents and coordinating cyber incident response activities.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

datapine

APRIL 2, 2019

A KPI scorecard is a term used to describe a statistical record that measures progress or achievement towards a set performance indicator. It includes top indicators per perspective (usually the most measurable KPIs). Measures and parameters : Scorecards are most commonly focused to track KPIs in comparison to a set target.

Scorecard 226

Scorecard KPI Dashboards Reporting 226

Smart Data Collective

NOVEMBER 1, 2020

The clustering process can be divided into the following stages: Selecting objects for clustering; Determining the set of variables; Calculating the similarity measure values between objects; Grouping similar objects into clusters; Presenting results. As a visualization tool – PCA is great at showing a bird’s view of the process.

Machine Learning 134

Machine Learning Data mining Visualization Statistics 134

datapine

MARCH 22, 2019

Moreover, measuring these metrics will also avert potential customer frustrations, monitor customer satisfaction levels, and give you a more concrete, informed idea of how your customer-facing team is doing. How To Measure Customer Satisfaction? How To Measure Customer Satisfaction?

Metrics 134

Metrics Dashboards Measurement Interactive 134

Smarten

APRIL 12, 2023

Smarten Augmented Analytics tools include Assisted Predictive Modeling , Smart Data Visualization , Self-Serve Data Preparation , Sentiment Analysis , and Clickless Analytics with natural language processing (NLP) for search analytics.

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 52

Smart Data Collective

JUNE 4, 2021

Data science needs knowledge from a variety of fields including statistics, mathematics, programming, and transforming data. Mathematics, statistics, and programming are pillars of data science. In data science, use linear algebra for understanding the statistical graphs. It is the building block of statistics.

Data Science 105

Data Science Statistics Deep Learning Machine Learning 105

Sisense

SEPTEMBER 3, 2020

Besides strong technical skills (for instance, use of Hadoop, programming in R and Python , math, statistics), data scientists should also be able to tackle open-ended questions and undirected research in ways that bring measurable business benefits to their organization.

Statistics 97

Statistics Metrics Visualization Finance 97

AWS Big Data

APRIL 3, 2024

We discuss how to visualize data quality scores in Amazon DataZone, enable AWS Glue Data Quality when creating a new Amazon DataZone data source, and enable data quality for an existing data asset. If the asset has AWS Glue Data Quality enabled, you can now quickly visualize the data quality score directly in the catalog search pane.

Data Quality 88

Data Quality Visualization Metadata Metrics 88

DataRobot Blog

SEPTEMBER 1, 2022

This also shows how the models compare on standard performance metrics and informative visualizations like Dual Lift. But many of the things you need to measure for your business are hyperspecific for your unique problems and opportunities — specific business KPIs or data science secrets. Manage changing market conditions.

Metrics 145

Metrics Statistics Modeling Data Science 145

Business Over Broadway

MARCH 13, 2019

Watson Studio accomplished this feat by providing a platform to help you prepare data and build models on your own desktop using their easy-to-use visual drag and drop tools. Next, we can explore our data by calculating some descriptive statistics for our measures. The level of satisfaction is indexed by a summary statistic.

Statistics 78

Statistics Measurement Descriptive Analytics Machine Learning 78

Perceptual Edge

APRIL 21, 2019

This certainly applies to data visualization, which unfortunately lends itself to a great deal of noise if we’re not careful and skilled. Every choice that we make when creating a data visualization seeks to optimize the signal-to-noise ratio. No accurate item of data, in and of itself, always qualifies either as a signal or noise.

Visualization 76

Visualization Statistics Uncertainty Modeling 76

Rocket-Powered Data Science

JULY 7, 2019

Computer Vision: Data Mining: Data Science: Application of scientific method to discovery from data (including Statistics, Machine Learning, data visualization, exploratory data analysis, experimentation, and more). They cannot process language inputs generally. Industry 4.0 Examples: (1) Automated manufacturing assembly line. (2)

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Jen Stirrup

JUNE 16, 2020

Convincing Your HiPPo: Business Statistics for AI and Data Science ( Wednesday 15th July at 12.30pm EST, 5.30pm BST ). To be successful and confident for working AI and Data Science, it’s important to have a grasp of statistics. And any other data visualization topics you care to mention! And who clears up the mess?

Statistics 64

Statistics Visualization Machine Learning Business Intelligence 64