Martin Lagerström at Statistics Sweden is an ACQ5 Global Awards 2017 Winner!

Interview with Martin on page 52 

From http://awards.acq5.com/1/ and FB of Martin
Martin Lagerström at Statistics Sweden is an ACQ5 Global Awards 2017 Winner! Our readers gave his work on strategy, management and leadership top-score ratings in our poll. Moreover, comments in the poll like “He and Statistics Sweden is without doubt the go-to resource for the latest trends, knowledge, skills and know-how in these issues” made us to want to learn more. We invited Martin to tell us more about the why´s, what´s, how´s and outcomes of this work. Information about this will be well spread throughout the world to ACQ5´s many readers and through other platforms as ACQ5 cooperates with Time, Bloomberg Business, CNN, BBC and Sunday Times. The award is based on a detailed assessment by users and a jury - http://awards.acq5.com/1/ Click on the link in the picture above to read the interview on page 52!

The Trouble with Tables

The Trouble with Tables from Xavier Badosa
International Marketing and Ourtput DataBase Conference (IMAODBC) 2017. Madrid, Spain, 17-21 September 2017.
This presentation won the Bo Sundgren Award.

The Trouble with Tables, my presentation at #IMAODBC2017, winner of the best presentation award https://www.slideshare.net/badosa/the-trouble-with-tables … #mobile #interactive 

Easy-to-understand Statistics for the Public

Blog about Stats: 
In a recently published EUROSTAT publication, the authors demand innovative forms of communication from public statistics in order not to lose their socially important role. Among other things, they demand ‘…. to tell stories close to the people; to create communities around specific themes; to develop among citizens the ability to read the data and understand what is behind the statistical process.’

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The Good, the Bad and the Ugly - Communication of statistics in times of fake news

Blog about Stats:
In a recent paper Emanuele Baldacci, (Director, Eurostat) and Felicia Pelagalli, (President, InnovaFiducia) deal with the ‘challenges for official statistics of changes in the information market spurred by network technology, data revolution and changes in information consumers’ behaviours’ (p.3)

Three scenarios
The status-quo or bad scenario:

‘Information will continue to be consumed via multiple decentralized channels, with new information intermediaries emerging through social platforms, digital opinion leaders, technologies that reinforce belonging to peers with similar profiles and backgrounds, including in terms of beliefs.’ … ‘Under this scenario it is likely that increased competition from alternative data providers will put pressure on the official statistics position in the information ecosystem and lead to drastic reduction of public resources invested in official statistics, as a result of the perceived lack of relevance.’ (p.8)

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Boris Johnson's £350m mistake – and 6 other statistical errors we all fall for

New Statesman:
Sir David Norgrove, the head of the UK Statistics Authority, wrote an open letter to Boris Johnson on how he was "surprised and disappointed" by the foreign secretary restating that Brexit will lead an extra £350m per week being made available for public spending.

Norgrove went on to say that "it is a clear misuse of official statistics". Johnson is not the first Conservative cabinet minister to be reprimanded by the Stats Authority. Six others have as well, as detailed by George Eaton.

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MyData – a Nordic model for human-centered personal data

IIS:
MyData is the name of a human centered approach in personal data and Antti Poikola is one of the main initiators. The concept is well known on the open data arena in Finland, but now Antti Poikola wants the concept to be more used in other Nordic countries as well.

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Why Should Your Child Study Statistics?

This is Statistics:
In 2009, Google’s chief economist Hal Varian told The New York Times, “I keep saying that the sexy job in the next 10 years will be statisticians. And I’m not kidding.” Interest in the field has only increased since Varian’s remarks as word has spread about the field’s good pay and abundance of interesting and meaningful opportunities. In fact, Fortune magazine recently reported that statistics is the fastest-growing STEM degree. Yet the field continues to be a fairly well-kept secret, despite its perks, making jobs in statistics more plentiful than the number of skilled people who can do them.

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New Degree Programs for the Hottest Job of 2017

This is Statistics:
Demand for employees with statistical skills continues to soar. According to Glassdoor, the top job of 2017 is data scientist. In addition to this, three more of the top 10 professions rely on data analysis skills, meaning that at least four of the top 10 jobs of 2017 would require statistical skills to be hired.

Following steady and significant growth in statitsics program offerings since 2014, 2017 is proving to be another great year for the field. To meet the demand, the San Francisco Chronicle reports, universities across the nation are also creating new programs in data science.

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30 Data Analytics Careers That Aren't Data Scientists

Aspiring data scientists may have unrealistic
career expectations. [Image: Shutterstock]

Forbes:
One striking thing about these questions is that everybody is asking me, a person who has never, ever said, “I’m a data scientist,” how to be a data scientist. Another is that almost nobody asks how to become a statistician, data miner, engineer or any other profession that also uses analytical skills. This one relatively new title for people who analyze data has all but swallowed interest in many other analytical roles.

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Most asked Data Science Interview Questions-2017

Python- ML:
Data Science and Analytics jobs are in the great demand across the globe. The Harvard Business Review has named the DSA jobs as “the sexiest job of the 21st century”. According to IBM, the roles of Data Scientists and Analysts are projected to experience a demand spike by 28% by 2020. The following figure shows how important the DSA skills are today, and likely to be through 2020.

After experiencing the vibrant demand for the Data Science and Analytics jobs, you obviously need more attention while preparing for the DSA interviews. To help you prepare for the next interview, our subject experts have come up with a guide of most tricky interview questions and answers that will certainly let you give a tough fight in the interview.

1. What is Data Science?

Data Science is a mix of statistics, machine learning, and Artificial Intelligence that are used to extract knowledge or insights from the data available in different forms (structured or unstructured) for predicting the future trends.

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Specialization and Communication in Data Science

Simply Statistics:
I have been interested for a while now in how data scientists can better communicate data analysis activities to each other and to people outside the field. I believe that our current methods are inadequate because they have mostly been borrowed from other areas (notably, computer science). Many of those tools are useful, but they were not developed to communicate data analysis concepts specifically and often fall short. I talked about this problem in my Dean’s Lecture (below) earlier this year and how the field of data science could benefit from developing its own theories, to simplify communication as other fields have done.

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Levande landskap

Från Statisticon:
– en social kompass för ett kommunalt landskap i förändring

Tre år har gått sedan vi introducerade en metod för att visualisera den samlade socioekonomiska bilden i Sverige. Bilden visade läget för Sveriges kommuner år 2012. Med en omvärld som ständigt förändras och som inte minst de senaste åren har genomgått relativt stora förändringar, behöver även den socioekonomiska kartan uppdateras och analyseras på nytt. I detta inlägg gör vi en ny resa i Sveriges socioekonomiska landskap baserade på data avseende år 2015. Vi har använt samma tio variabler och metod för att skapa kartan och klustra kommunerna i olika landskap. Se not sist i inlägget för en mer detaljerad beskrivning av metoden och vilka variabler som ingår.

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How to create jaw dropping Data Visualizations on the web with D3.js?

From Analytics Vidhya:
Data Visualization is the way a data scientist expresses himself / herself. Creating a meaningful visualization requires you to think about the story, the aesthetics of the visualization and various other aspects.

If you are planning to create custom visualizations on the web, chances are that you’d have already heard about D3.js. A web based visualization library that features a plethora of APIs to handle the heavy lifting of creating advanced, dynamic and beautiful visualization content on the web.

In this article, we would learn some of D3’s powers and use them to create magic of our own! By end of the article, you will be able to create awesome stories for yourself!

This article is a continuation of my previous article, Beginner’s guide to build data visualizations on the web with D3.js . Which I would recommend you to read before going further for a better understanding.

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Visualising regional data using the geofacet R package

Significance magazine:
Spatial data make an enormous contribution to our understanding of the world. They allow us to monitor life expectancy and the spread of disease within a country, the distribution of employment and wealth across a continent, and the condition and use of land in a conservation area. They help us to understand from where people watched the recent eclipse, which roads are the most dangerous, and what areas of a city are the least polluted and have the lowest crime rates.

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Graphical interpretations of data: An introduction

Significance magazine:
This is the first of a series of articles on the design of simple graphs – graphs you could draw with pencil and ruler but are now more likely to be produced using software. You can find examples in the book Plain Figures1 covering the presentation of statistics by graphs and tables. Despite that and other sources of advice, simple two-dimensional graph forms often fail to communicate as their maker intended – or so one assumes.

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The Surprising Things Statistics Tell Us About Fiction

Illustration by Tim Lahan

The New Yorker:
In high school, writing term papers on the family PC, I’d often turn to Microsoft Word’s “readability statistics” feature to make sure I sounded smart enough. With a few clicks, Word assigned my papers a Flesch-Kincaid Grade Level: a number from one to twelve indicating how many years of education the average reader would need to have completed in order to decipher my language. I had no idea how Word made this calculation, but I noticed that it rewarded prolix sentences with a higher “grade.” So that’s what I wrote. I put my every word choice under close scrutiny. Soon my paragraphs buckled under the weight of clauses and polysyllables, but I, a ninth grader, was generating prose that only twelfth graders could read—which made me pretty hot shit, my thinking went.

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Visualize This: Statistician Nathan Yau Helps Non-Experts Understand Data

This is Statistics:
Nathan Yau is a statistician best known for being the author of the highly successful FlowingData.com, a blog on visualization, statistics, and information design. Nathan graduated from University of California, Los Angeles, with a doctorate in statistics and created FlowingData.com to catalog his work. His focus is on data visualization and he has turned the blog into a full-time job, using it to make data easy for non-experts to understand.

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Fox & Friends, före och efter valet i USA

Från Journalism++ Stockholm

Här har Vox gjort textanalys på allt den konservativa morgonshowen Fox & Friends sänt de senaste 17 månaderna, baserat på Internet Archives textarkiv över amerikansk tv. De har använt Pythonbiblioteket NLTK för det mesta jobbet, och något som heter Vader för sentimentanalys.

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Big data – a new opportunity for statistics production

http://vilniusworkshop2017.vgtu.lt/wp-content/uploads/2017/07/vilnius-japec-final.pdf

From: Workshop on Survey Statistics Theory and Methodology

The Baltic-Nordic-Ukrainian Network on Survey Statistics is a non-governmental group of enthusiastic survey statisticians in Estonia, Finland, Latvia, Lithuania, Sweden, Ukraine and Belarus and their home institutions, most of them being a university or a national statistical agency. It started in 1996 as a Baltic-Nordic network and was extended to include also Ukraine and Belarus. Four Summer Schools 1997, 2009, 2013 and 2016 in Estonia, Ukraine, Belarus and Ukraine, twelve Workshops 1998-2001, 2003-2006 and 2008, 2010, 2012 and 2014 in Latvia, Lithuania and Estonia, and four Conferences 2002, 2007, 2011 and 2015 in Sweden and Finland were organized. Exchange visits for university teachers, research students and survey practitioners to universities within the Network with a total duration of more than 100 months were also arranged. The website of the Network is http://wiki.helsinki.fi/display/BNU/Home.

Krönikör Johan Norberg: "I anonymiteten blir vi skamlöst ärliga"

Godmorgon, världen! | Sveriges Radio:
Få opinionsundersökare eller analytiker trodde att Donald Trump skulle vinna presidentvalet. Han låg under ett par procentenheter bland annat efter rasistiska utfall och svarta väljare skulle ju mobilisera mot honom.

Men om vi hade konsulterat dataanalytiker hade dessa kunnat berätta att det fanns ett problem med den förutsägelsen. Vita amerikaners googlesökningar i flera swingstater antydde att de hade större rasfördomar än de uttryckte öppet, och svarta sökte inte efter information om väljarregistrering och vallokaler som de borde ha gjort om de tänkt rösta i den utsträckning de påstod sig planera.

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