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

DataKitchen

MARCH 12, 2024

Through compelling testimonials from industry leaders, including a Top 10 global pharmaceutical company and a prominent data analytics team, the blog illustrates the profound impact of DataKitchen’s data observability on reducing data errors to nearly zero and bolstering team productivity. Databricks was all green.

Metrics 117

Metrics Software Cost-Benefit Testing 117

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. 1.1 – Beanplots, Statistics with R, Mark Greenwood and Katharine Banner Bean plot analysis of relative FN1 mRNA expression in normal renal tissue, oncocytoma and RCC.

Snapshot 86

Snapshot Visualization Statistics Measurement 86

AWS Big Data

MARCH 22, 2024

Table and column statistics were not present for any of the tables. The following graph shows performance improvements measured by the total query runtime (in seconds) for the benchmark queries. However, table statistics are often not available, out of date, or too expensive to collect on large tables.

Metadata 92

Metadata Statistics Broadcasting Optimization 92

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

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., This blog post discusses such a comprehensive approach that is used at Youtube. Figure 2: Spreading measurements out makes estimates of model (slope of line) more accurate.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Occam's Razor

MAY 14, 2012

So let's fix that problem in this blog post. Bonus One: Read: Brand Measurement: Analytics & Metrics for Branding Campaigns ]. There are many different tools, both online and offline, that measure the elusive metric called brand strength. I love using this tool to measure " unaided brand recall."

Measurement 128

Measurement Analytics Advertising Marketing 128

Jet Global

JULY 12, 2023

Editors note: This blog was originally published in October 2013, and has been completely revamped and updated for accuracy, relevancy, and comprehensiveness in September 2019 Prior to the 17th century, data visualization existed mainly in the realm of maps, displaying land markers, cities, roads, and resources.

Visualization 59

Visualization Statistics Scorecard Measurement 59

datapine

SEPTEMBER 6, 2022

As a content manager, you most likely spend most of your time writing quality blogs, email newsletters, and social media posts, all in an effort to ensure the business is growing and achieving its goals. Given that this indicator is directly tight to revenue, it is one of the most relevant success measurements for the marketing department.

Dashboards 179

Dashboards Reporting ROI Metrics 179

datapine

NOVEMBER 15, 2022

Product metrics are quantitative performance measurements used by businesses to gain insights into various areas like product development, pricing, quality, and more. They can evaluate architectural measures, quality measures, software complexity, or functional size. What Are Product Metrics?

Metrics 141

Metrics KPI Measurement Dashboards 141

IBM Big Data Hub

AUGUST 17, 2023

The process to create the commentary began by populating a data store on watsonx.data , which connects and governs trusted data from disparate sources (such as player rankings going into the match, head-to-head records, match details and statistics).

Unstructured Data 91

Unstructured Data Statistics Consulting Enterprise 91

datapine

JANUARY 6, 2022

Yet, before any serious data interpretation inquiry can begin, it should be understood that visual presentations of data findings are irrelevant unless a sound decision is made regarding scales of measurement. 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

datapine

JUNE 7, 2022

From political issues to sports statistics and the recent report you received on the ROI of your company blog, the internet as well as informational reports are flooded with examples of misleading data visualization. If you want to go deeper into the topic, take a look at our misleading statistics blog post.

Visualization 267

Visualization Metrics Statistics Dashboards 267

Domino Data Lab

OCTOBER 7, 2020

The Curse of Dimensionality , or Large P, Small N, ((P >> N)) , problem applies to the latter case of lots of variables measured on a relatively few number of samples. Statistical methods for analyzing this two-dimensional data exist. This statistical test is correct because the data are (presumably) bivariate normal.

Statistics 145

Statistics Testing Predictive Modeling Modeling 145

datapine

MARCH 25, 2019

Once you’ve set your data sources, started to gather the raw data you consider to offer potential value, and established clearcut questions you want your insights to answer, you need to set a host of key performance indicators (KPIs) that will help you track, measure, and shape your progress in a number of key areas. Establish your questions.

Key Performance Indicator 217

Key Performance Indicator Statistics Visualization Big Data 217

Domino Data Lab

NOVEMBER 17, 2020

High throughput screening technologies have been developed to measure all the molecules of interest in a sample in a single experiment (e.g., Our previous Domino Blog on the Curse of Dimensionality [2] , describes weird behaviors that emerge in data when P >> N: Points move far away from each other. Introduction. Antimicrobial.

Statistics 131

Statistics Measurement Testing Predictive Modeling 131

Smarten

APRIL 25, 2024

Users can harness the power of statistics and machine learning to uncover hidden insights and improve the overall quality of your data. effortlessly access a wide range of in-depth statistical measures such as skewness/kurtosis, word/phrase frequency, standard deviation, and more.

Data Quality 62

Data Quality Analytics Machine Learning Visualization 62

DataKitchen

NOVEMBER 18, 2022

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. Your data team manager needs to measure her team’s progress. Storing Run Data for Analysis.

Testing 130

Testing Statistics Measurement Metrics 130

Occam's Razor

SEPTEMBER 29, 2009

One of the ultimate excuses for not measuring impact of Marketing campaigns is: "Oh, that's just a branding campaign." It is criminal not to measure your direct response campaigns online. I also believe that a massively under appreciated opportunity exists to truly measure impact of branding campaigns online.

Measurement 128

Measurement Metrics Analytics Marketing 128

Smarten

MARCH 19, 2024

Statistical and analytical experts will tell you that there are three primary factors that can help you decide on the metrics to use for your analysis: The type of data you want to analyze – Understanding the data type can help you decide whether you need to consider a binary approach or look at categories, etc.

Analytics 57

Analytics Statistics Visualization Metrics 57

datapine

NOVEMBER 6, 2023

That is why we are putting together a series of blog posts that do a deep dive into different types of graphs and charts to help understand what each of them can do for your analytical efforts. After reading the limitations portion of the blog, you probably have a sense of when not to use a line chart.

Visualization 186

Visualization Cost-Benefit KPI Sales 186

Cloudera

DECEMBER 3, 2021

In part 1 of this blog post, we discussed the need to be mindful of data bias and the resulting consequences when certain parameters are skewed. This involves identifying, quantifying and being able to measure ethical considerations while balancing these with performance objectives. We need to get to the root of the problem.

Uncertainty 100

Uncertainty Measurement Metrics Risk 100

IBM Big Data Hub

JULY 10, 2023

Vibration analysis—a component of condition monitoring systems—utilizes vibration sensors to measure frequencies in an asset and detect abnormalities that may indicate a problem. Frequency measures the number of oscillations per unit of time, usually expressed in Hertz (Hz). Accelerometers (e.g., Accelerometers (e.g.,

Optimization 55

Optimization IT Measurement Cost-Benefit 55

DataKitchen

MAY 10, 2021

The measurement and monitoring of your end-to-end process can serve as an important tool in the battle to eliminate errors. We liken this methodology to the statistical process controls advocated by management guru Dr. Edward Deming. Week after week, it is measured with a million rows. Statistical Process Control.

Testing 214

Testing Manufacturing Data Quality Statistics 214

DataKitchen

JUNE 7, 2021

Hopefully, with metrics in place, you can show measured improvements in productivity and quality that will win converts. DataOps includes four key objectives: Measure Your Process – As data professionals, we advocate for the benefits of data-driven decision making. Measure Your Process. DataOps Objectives.

Testing 130

Testing IT Measurement Data-driven 130

IBM Big Data Hub

NOVEMBER 29, 2023

In other words, a differentially private synthetic dataset still reflects the statistical properties of your real dataset. Here are two common metrics that, while not comprehensive, serve as a solid foundation: Leakage score : This score measures the fraction of rows in the synthetic dataset that are identical to the original dataset.

Metrics 82

Metrics Machine Learning Risk Statistics 82

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 96

Data Quality Statistics Data Lake Visualization 96

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

IBM Big Data Hub

APRIL 9, 2024

. “With the data we’ve prepared we can then calculate the odds of a birdie or an eagle from a particular sector; we can also look across to the opposite side of the fairway for contrastive statistics,” says Baughman. We also measure response time since this is a near real-time system.

Management 80

Management IT Machine Learning Metrics 80

Depict Data Studio

AUGUST 28, 2023

For numbers , we need to tabulate them using descriptive statistics , which often aren’t possible with pivot tables. Here’s an older blog post that shows you how to get started with pivot tables within minutes. Numbers are test scores, ages, number of people, amount of money donated, etc.

Statistics 52

Statistics Dashboards Interactive Measurement 52

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

datapine

APRIL 16, 2019

By implementing the right reporting tools and understanding how to analyze as well as to measure your data accurately, you will be able to make the kind of data driven decisions that will drive your business forward. Qualitative data analysis is based on observation rather than measurement. 9) Set measurable goals for decision making.

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287

datapine

SEPTEMBER 16, 2022

But often that’s how we present statistics: we just show the notes, we don’t play the music.” – Hans Rosling, Swedish statistician. 14) “Visualize This: The Flowing Data Guide to Design, Visualization, and Statistics” by Nathan Yau. “Most of us need to listen to the music to understand how beautiful it is.

Visualization 304

Visualization Dashboards Data-driven Statistics 304

Cloudera

AUGUST 4, 2022

In a previous blog post , we demonstrated the power of Parquet page indexes, which can greatly improve the performance of selective queries. They store min/max statistics about Parquet pages (more on that in the aforementioned previous blog post), so with their help we only need to read fractions of the file. ardinality=2.88M |.

IoT 105

IoT Measurement Statistics Cost-Benefit 105

Depict Data Studio

DECEMBER 10, 2019

Here are four statistical formulas that every spreadsheet user should know. Statistical Formula #1: Calculating the Average or Mean. Statistical Formula #2: Median. Statistical Formula #3: Mode. Statistical Formula #4: Standard Deviation. I try to vary my blog content between beginner and advanced topics.

Statistics 81

Statistics Consulting Reporting Measurement 81

IBM Big Data Hub

APRIL 13, 2023

Explore data In this step, I’ll look at both sample records and the summary statistics of the training dataset to gain insights into the dataset. outtable is the name of the table where SUMMARY1000 will store gathered statistics for the entire dataset. Check the summary statistics of the numeric column. NOT IN(SELECT FT.ID

Modeling 83

Modeling Statistics Machine Learning Testing 83

BizAcuity

DECEMBER 8, 2021

Analyzing the lifetime value of players is a complex task but can be done with the right tool that employs advanced technology and AI to examine player behaviour and come up with statistics that are more or less accurate. The tool will measure the number of people who have uninstalled your application.

Statistics 96

Statistics Measurement Forecasting Consulting 96