The Data Visualisation Catalogue

JANUARY 1, 2022

Another year has passed now and a new set of website statistics for 2021 is here, which will reveal what visualisation reference pages are the most popular. It’s always good to analyse the website statistics, as they may provide some indicator of what visualisation types are most commonly being used or taught.

Statistics 105

Statistics IT 105

The Data Visualisation Catalogue

JANUARY 8, 2021

2020 is finally over, so as per tradition the publishing of the website statistics on the most popular chart reference pages is to be obliged. So let’s explore the website statistics from the recent past year with a series of tables and visualizations.

Statistics 61

Statistics Visualization Publishing 61

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 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. Originally published in 2016, it has a second edition that was published in 2019 that includes a rewritten chapter on qualitative data as well as 9 new chart types and shortcuts on Excel.

Visualization 304

Visualization Dashboards Data-driven Statistics 304

The Data Visualisation Catalogue

DECEMBER 2, 2020

This is an update on the project, as it’s been a while since I last posted on this blog. One of the key projects I was working on in 2019 was to develop training courses for the OECD, which were introductory workshops to data visualisation. The post Project Update (Dec 2020) appeared first on The Data Visualisation Catalogue Blog.

Statistics 78

Statistics IT 78

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 81

Modeling Statistics Machine Learning Testing 81

IBM Big Data Hub

JANUARY 10, 2023

To make it easy for clients to understand how to utilize this capability within NPS, a demonstration was created that uses flight delay data for all commercial flights from United States airports that was collected by the United States Department of Transportation (Bureau of Transportation Statistics). Prerequisites for the demo.

Data Warehouse 52

Data Warehouse Cost-Benefit Statistics Data Processing 52

DataKitchen

APRIL 28, 2021

Gartner included data fabrics in their top ten trends for data and analytics in 2019. If you have data errors that drive unplanned work, then orchestrate a battery of statistical and process controls that qualify data sources and data processing. From an industry perspective, the topic of data fabrics is on fire. What is a Data Fabric?

Statistics 246

Statistics Optimization Data Analytics Technology 246

CIO Business Intelligence

APRIL 30, 2023

For example, Get into the Zone served up video montages of a player’s former winning performances, while an opponent tendency feature allowed players to view and analyse the statistical playing tendencies of their opponents. For us, this has been a monumental and strong partnership with the Australian Open since 2019. It exceeded 2.6

Data-driven 98

Data-driven Strategy Statistics Data Processing 98

BizAcuity

DECEMBER 8, 2021

The years 2019 and 2020 have seen a spike in mobile gaming as a whole because people have been finding it extremely difficult to cope with social isolation and finally got some respite in such platforms. iGaming as an industry is expanding like never before. The COVID-19 pandemic is partly responsible for this growth.

Statistics 96

Statistics Measurement Forecasting Consulting 96

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

It also owns Google’s internal time series forecasting platform described in an earlier blog post. With those stakes and the long forecast horizon, we do not rely on a single statistical model based on historical trends. Our team does a lot of forecasting. For high stakes, strategic forecasts, my answer is: yes!

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

IBM Big Data Hub

JANUARY 25, 2024

trillion, up from USD 864 billion in 2019 to 2020. Consider these questions: Do you have a platform that combines statistical analyses, prescriptive analytics and optimization algorithms? The post MRO spare parts optimization appeared first on IBM Blog. Is it easier said than done? Results may vary.

Optimization 73

Optimization Cost-Benefit Prescriptive Analytics Manufacturing 73

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. In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. We need to get to the root of the problem. Impact and confidence intervals.

Uncertainty 105

Uncertainty Measurement Metrics Risk 105

Smart Data Collective

APRIL 14, 2020

Data showed that Data Science and Analysis, comprising 21% of data scientists, is the degree that’s most likely to get you into data science in 2020, followed by the previous leader Computer Science (18.3%) and the traditional Statistics &Mathematics (16.3%). It’s true that data scientists come from various backgrounds. Coding Languages.

Data Science 91

Data Science Statistics IT Big Data 91

The Unofficial Google Data Science Blog

APRIL 23, 2024

If $Y$ at that point is (statistically and practically) significantly better than our current operating point, and that point is deemed acceptable, we update the system parameters to this better value. This blog post discusses such a comprehensive approach that is used at Youtube. Journal of Statistical Software, 56(1):1-56, 2014. [5]

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Sisense

JULY 7, 2020

Another feature of In-Warehouse Data Prep is the warehouse statistics profiling view, which allows users to understand their data at a glance, identifying patterns, relationships, and unexpected values. Her debut novel, The Book of Jeremiah , was published in 2019. Today’s organizations are more data-driven than ever.

Slice and Dice 92

Slice and Dice Data Warehouse Analytics Dashboards 92

datapine

NOVEMBER 19, 2019

While we’ve seen traces of this in 2019, it’s in 2020 that computer vision will make a significant mark in both the consumer and business world. Already in our shortlist of tech buzzwords 2019, artificial intelligence is on the front scene for next year again. Artificial Intelligence (AI). Connected Retail. Hyperautomation.

Technology 279

Technology Internet of Things IT IoT 279

DataKitchen

OCTOBER 5, 2022

A 2019 DataKitchen/Eckerson survey found that 79% of companies have more than three data-related errors in their pipelines per month. A survey of data engineers conducted by DataKitchen in 2022 revealed some shocking statistics. Today’s data and analytic systems are complex, made up of any number of disparate tools and data stores.

Testing 173

Testing Risk Data Processing Statistics 173

Cloudera

JULY 11, 2021

According to statistics by Singapore’s Ministry of Education, there has been a 3% increase in the number of women pursuing STEM university degrees from 2017 to 2019, as reported by The Straits Times. . The post Paving the way for women in Tech: Fostering young girls’ enthusiasm for STEM appeared first on Cloudera Blog.

Sales 106

Sales Consulting Statistics Technology 106

IBM Big Data Hub

AUGUST 9, 2023

Why phishing simulations are important Recent statistics show phishing threats continue to rise. Since 2019, the number of phishing attacks has grown by 150% percent per year— with the Anti-Phishing Working Group (APWG) reporting an all-time high for phishing in 2022 , logging more than 4.7 appeared first on IBM Blog.

Testing 73

Testing Measurement Behavioral Analytics Reporting 73

FineReport

MAY 6, 2020

Analisis prediktif: analisis axis waktu, principal component analysis, nonparametric regression, statistical process control. Di-update setiap minggunya, termasuk blog, tutorial, kelas, buku, karir, dan sebagainya. 10 python blogs worth following : 10 blog untuk mempelajari Pthon. The Elements of Statistical Learning.

Data mining 98

Data mining Data Warehouse Machine Learning Big Data 98

DataKitchen

OCTOBER 5, 2022

A 2019 DataKitchen/Eckerson survey found that 79% of companies have more than three data-related errors in their pipelines per month. A survey of data engineers conducted by DataKitchen in 2022 revealed some shocking statistics. Today’s data and analytic systems are complex, made up of any number of disparate tools and data stores.

Testing 130

Testing Risk Data Processing Statistics 130

Jet Global

JULY 11, 2019

By using a combination of data, statistical algorithms, and machine learning techniques, predictive analytics identifies the likelihood of future outcomes based on the past. In this blog post, we are going to cover the role of business intelligence in demand forecasting, an area of predictive analytics focused on customer demand.

Business Intelligence 72

Business Intelligence Forecasting Predictive Analytics Data Warehouse 72

Sisense

JUNE 30, 2020

The primary objective of data visualization is to clearly communicate what the data says, help explain trends and statistics, and show patterns that would otherwise be impossible to see. Her debut novel, The Book of Jeremiah , was published in 2019.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Peter James Thomas

APRIL 9, 2019

This is the second year in which I have produced a retrospective of my blogging activity. Maybe I will do better with 2019’s highlights! Statistics & Data Science. Statistics & Data Science. As in 2017 , I have failed miserably in my original objective of posting this early in January. Data Visualisation.

Data-driven 49

Data-driven Statistics Data Science Big Data 49

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

On the one hand, basic statistical models (e.g. This blog post motivates this problem more fully, and discusses monotonic splines and lattices as a solution. This blog post motivates this problem more fully, and discusses monotonic splines and lattices as a solution. As introduced in Zaheer et al.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

Jet Global

OCTOBER 1, 2019

By using a combination of data, statistical algorithms, and machine learning techniques, predictive analytics identifies the likelihood of future outcomes based on the past. In this blog post, we are going to cover the role of business intelligence in demand forecasting, an area of predictive analytics focused on customer demand.

Business Intelligence 40

Business Intelligence Forecasting Predictive Analytics Data Warehouse 40

Cloudera

SEPTEMBER 15, 2022

Mark: Yes, another concept gaining traction with data leaders is the data mesh, which was introduced by Zhamak Dehghani in 2019 as an approach to address the challenges when deploying data programs. Distribution monitors the statistical characteristics of the data resource, which is an excellent linkage with data quality. .

Data Lake 86

Data Lake Data Architecture Data-driven Data Warehouse 86

Depict Data Studio

APRIL 16, 2019

GRADprofdev #GradsDo pic.twitter.com/Dw15UFiFDh — GradSchoolatUSC (@GradSchoolatUSC) April 5, 2019. Long ago, I had majored in psychology so I could take as many research methods and statistics courses as possible. link] — Heather Brandt (@BlondeScientist) April 11, 2019. Hey check out this data viz!

Visualization 56

Visualization Reporting Statistics Dashboards 56

O'Reilly on Data

DECEMBER 9, 2019

Recall from my previous blog post that all financial models are at the mercy of the Trinity of Errors , namely: errors in model specifications, errors in model parameter estimates, and errors resulting from the failure of a model to adapt to structural changes in its environment. The interval [-a, a] is called a 90% confidence interval.

Statistics 27

Statistics Uncertainty Risk Marketing 27

Smart Data Collective

OCTOBER 14, 2019

In September 2019, Google decided to make it’s Differential Privacy Library available as an open-source tool. When Google talked about releasing this tool in its blog, the brand pointed out that if you don’t protect user data, you risk losing people’s trust.

Data Science 70

Data Science Machine Learning Big Data Interactive 70

Sisense

AUGUST 30, 2021

Here’s a dive into the latest sales statistics to reveal which vehicles are the biggest hits in 100+ countries around the globe, along with a cool color-coded infographic map. Rachel Burstyn has been a part of the Sisense content team since 2019. Auto sales, by the numbers. What can our car-buying habits tell us about ourselves?

Analytics 52

Analytics Sales Reporting Metrics 52

Jen Stirrup

JUNE 20, 2020

My analysis is based on the Financial statements put forward by PASS using some basic metrics; until you do that piece, you can’t move forward to compare and contrast it with other data since you have not done your ‘descriptive statistical analysis’ first to ensure that the comparison is valid. What does that say about the #SQLFamily?

Metrics 104

Metrics Business Analytics Data-driven Statistics 104

Domino Data Lab

MAY 8, 2019

Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have. Use of influence functions goes back to the 1970s in robust statistics. 2018-06-21).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Sisense

JULY 27, 2021

The box score was developed by sportswriter Henry Chadwick in 1858, and over 150 years later, statistics, data, and analysis have revolutionized the sport. So it made perfect sense in 2019 to open a beautiful new concert hall there. The summer is heating up here in the States, and baseball season is jumping into high gear.

Analytics 52

Analytics Data-driven Statistics Measurement 52

Sisense

DECEMBER 11, 2019

It’s why Sisense, having merged with Periscope Data in May 2019, chose to host this event in Tel Aviv. With data growing at a staggering rate, managing and structuring it is vital to your survival. In this piece, we detail the Israeli debut of Periscope Data. Driving startup growth with the power of data. What VCs want from startups.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

datapine

FEBRUARY 23, 2023

2) Charts And Graphs Categories 3) 20 Different Types Of Graphs And Charts 4) How To Choose The Right Chart Type Data and statistics are all around us. That said, there is still a lack of charting literacy due to the wide range of visuals available to us and the misuse of statistics. Table of Contents 1) What Are Graphs And Charts?

Visualization 177

Visualization Dashboards Sales Measurement 177