fabiochiu/medium-articles huggingface dataset:
Redesigning Chart from NewsRoom: My Journey to the NewsRoom
By: Jayeola Gbenga
Tags: Line Chart, Newsroom, Data Journalism, Data Visualisation

A few weeks ago, I had this random idea of starting a side project for my weekly post on medium. Look at various charts released by the media and redesign them. This idea was to personally upskill myself in data visualization by learning from some of the best data journalists and learn data visualization principles along the way.

Let me give a little background introduction about myself so you can have a picture of the writer. Am currently an about to be graduate of Economics as of the time this article was written. About to be and doesn't know when I am going to graduate because my professors are on industrial strike for eight-month now and we have been advised to forget about school as of when this article was written.

Most of the visualization I have done where from assignment and project from my course work in College, so I have no formal education in Visualisation. But I love to see great charts, mostly interactives.

That was short but I believe you will get to know me better from my future articles as I journey into the land of data and charts.

For this post, I would be using this particular chart I came across from Businessday, a news reporting website from Nigeria. I made a quick replica on Excel so you can have a look at the chart. But you can still click on the link to read the article. A great write up from two great journalists in Nigeria, Favour Olarewaju and Mercy Ayodele.

The chart was to compare the inflation rate of food prices in Nigeria between January 2019 and September 2020. The inflation rate statistic is released every month by the National Bureau of Statistics, so the data point was a monthly time series data.

One of the things I was easily able to grasp by looking at the chart was the difference in data points in a particular month for 2019 and 2020. This actually showed the year by year increase between the prices for a particular month. I really liked that because one of the principles about chart is a chart should be easily readable without misinformation.

But I felt it was difficult to see how the prices have changed over time, which a line chart is best known for. This is a quick chart of a multiple line chart using Excel.

There was no much difference so I tried making the chart using Data Wrapper. The chart from datawrapper was better but I noticed the y-axis didn't start from zero.

Three great visualizations using two powerful software. I know including charts in an environment with deadlines, it's kind of difficult to think and search for software that would do something great. But Datawrapper solves that. It's a great tool for journalists if you haven't come across it before.

But what about Slope Chart. It's a common chart that shows development between two dates. Datawrapper can also do such, but I don't want to make the article too long so I would be going through that in my next article.
Underemployment: From College to Corporate
By: Jayeola Gbenga
Tags: Employment, Data Journalism, Development, Entrepreneurship, Youth

Nigerians would jokingly say “problem nor day finish”. Expenses are numerous and resources needed to take care of these expenses are limited. Working part time as a student or during holidays where one of the means needed to meet most of our long list of items to buy.

Some student join the labour force during breaks to earn some money. Offering their time, skill, service, muscle if need be. During these periods these student make plans to start something up immediately after graduation, umemployment figure keep soaring up, therefore plans have to be made.

The Nigeria Bureau of Statistics excludes student from the Labour force as most are not willingly looking for work due to studies. Its quite common to find student putting several hours to learn a skills outside studies. Learning an extra skill is a place to fall back on if white collar jobs arent forth coming.

Skill acquisition is a self sustaining way to personal development and financial breakthrough. Mastering a skill is needed to offer a worthy service. The cross over from a student to be part of the labour force requires you to make a choice on whom would you render your service to: to a boss or to your customers.

Dr Yemi Kale, The Statistician General of the Nigeria Bureau of Statistics, resonsible for the release of various statistical data relating to the Niigerian Economy made a clarification about how unemployment and underemployment are calculated.

Individuals who work for more than fourty hours a week are those considered to be fully employed while those who work for less than fourty hours are underemployed and unemployed for individuals who cannot find work at all.

The computation of the Unemployment may look stringent compared to that of the International Labour of Organisation (ILO) that computes the underemployed as those who work for less than an hour while those who work work more than an hour are categorised as fully employed.

But the measurement by the NBS shows the level at which small business holders are able to scale. Small business in Nigeria face a lot of challenge; economical, financial, whatever comes to your mind.

But as individuals move from side hustle student to small business enterpreneur just to make ends meet, the economical challenges still lies at the door keeing our dreams from coming through.
Discoteche chiuse. I giovani: “colpa nostra”
Tags: Journalism, Covid, Data Journalism, Bigdata, AGI

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Scuola e sanità. Sui social non si parla d’altro
Tags: Journalism, Covid 19, Bigdata, Datajournalism, AGI

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Cosa si dice sui social del rientro a scuola con (o senza) le mascherine
Tags: Journalism, Covid, Bigdata, Datajournalism, AGI

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Flavio Briatore positivo al Covid ma il sentiment è negativo
Tags: Big Data, Journalism, Covid 19, Data Journalism, AGI

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Incredible India!
By: Abhijeet Gaur
Tags: Data Journalism, Incredibleindia, Data Visualization, Tourism, India

Incredible India!

The recent data from 2018 shows us the amount of tourism in each state of India by foreigners and the citizens of the country. Abhijeet Gaur Oct 12, 2020·2 min read

Picture Credit: Unsplash.com

India is country of diversity. The diversity in nature, whether & culture invites millions of people to visit the country. Not only the foreigners but the citizens of the country are also keen travellers.

The country welcomed 1,679,371,995 travellers across 28 states and 7 union-territories. The huge amount of tourism that India gathered in 2018 has led to a GDP contribution of 9.2% i.e. 247.29 billion US dollars.

The tourism is varying as one moves from state to state depending upon the historical and the natural beauty across the places.

The amount of travel to each state/union-territories by both foreigners and the domestic is shown as well as compared to get a realistic approach of the tourism sector of the country.

Tourism Domestic vs Foreign

The amount of travel by domestic is more than compared to foreign. The total count of domestic travel in the year 2018 was 1,652,485,357 people. However, the total count of foreigners who travelled to various parts of India was 26,886,638 people.

OVERALL TOURIST COUNT -2018

The tourism plays a major role in the contribution to India’s GDP. The various developments and cultural scenario fetches more and more people every year to the incredible India.
City of London: Only 1 in 9 violence and sexual offences has a legal conclusion
By: Beatriz Farrugia
Tags: City Of London, Data Journalism, Ddj, Violence, Sexual Crime

The City of London Police registered 1,127 violence and sexual offences during one year;

But only 108 cases ended up in court, or with the offender receiving a penalty notice or caution.

Only 1 in 9 violence and sexual offences registered during one year by the City of London Police ended up in a formal judicial or criminal outcome.

It means that 108 of 1,127 cases arrived at the court, or the offender received a penalty notice or caution.

The number represents 9.58% of total sexual crimes reported between August 2019 and August 2020, according to a dataset available on Data Police UK.

In total, 77 incidents ended up in court. In other 30 crimes the offender received a caution, and just in one case a penalty notice was given.

One the other hand, 561 offences resulted in no identified suspect, incomplete investigation or prosecution. In 33 cases, there was no public interest in a formal action or further investigation.

Considering all types of crimes, the City of London Police reported 8,417 violations during the period August 2019-August 2020. In this sense, violence and sexual offences represented 13.39% of the total amount.

Click here to access the graphic.

The map below shows where each crime happened. However, 79 offences listed on the police dataset have no details about localization. Because of that, they have been removed from the map.

Click here to interact with the map.

Some #ddj reflections

Mapping

This data report has a scale approach, as it’s an attempt to measure the quantity of violence and sexual offences registered in a one year period by the City of London Police as well as the outcomes.

On the other hand, the map is completely exploratory, so everyone can search about a precise localization and verify the frequency of violence and sexual crimes in a neighborhood.

2. What the map does not tell us

Which types of violence and sexual crimes were committed;

Who the victims are/were — the victims profiles (genre, age…);

Is the outcome rate higher or lower than the national average?

The quantity of sexual crimes that have occured online during the same period (August 2019 — August2020);

Unreported sexual crimes and violences.

3. Editorial choices
Pit Bull Pic
By: Jenny James
Tags: Programming, Data Science, Data Journalism, Python, Data Analysis

Pit Bull Pic

My capstone project: Use a Convolutional Neural Network (CNN) to be able to distinguish between images of pit bulls and images of other breeds of dogs.

My dog Jack

There are features of pit bulls that distinguish them from other breeds, like the way their ears flop, or the size of their smiles! I want to create a model that can tell the difference between pit bull images and images of other breeds of dogs. First things first, I need a lot of dog pictures! I wrote a couple blog posts about scraping images from Petfinder using the Petpy API. There is part 1 where I scrape all the photos I need, and part 2 where I downloaded them. After that, I decided I needed more images, so after searching around I found the Stanford Dogs Dataset that contains 20,580 images from 120 different breeds. This turned out to be very helpful when gathering non-pit bull images.

image from Petfinder

After gathering 10,000 images from Petfinder and downloading the Stanford dataset, I begin the long and tedious process of cropping the photos that have a front facing dog with only slight angles to either side. Now that I have tons of headshots of dogs (or as many as I can do without going crazy), I divide them into two classes: pit and not pit. Now I create my model with tons of layers, I create my data generators and run it. I’m so excited to make my plots and see! Here’s my first instance of running my model:

Uh oh, that doesn’t look very good! Alright, let’s try adding a dropout layer.

Ok, at least that doesn’t look worse. How about another dropout layer?

Ok, now we’re talking. This went from devastating to decent really fast! whew. So, is more of a good thing better? I think I will add one more dropout layer and see…

In this case, yes, more is better. So let’s keep going, maybe a fourth dropout layer will be even better!!

So there is a limit on how long a good thing stays good. I am going to stick with three dropout layers. My model is looking really good. If you haven’t guessed my capstone is not finished yet. I do know one thing, and that is if I continue to add images to the model, it should only get better. Now I’m back to work. :)
Hur berättar man bättre med klimatdata?
By: Clara Guibourg
Tags: Climate, Storytelling, Data Visualization, Data Journalism

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How do data grids look on a map? A 3D video
By: European Data Journalism Network
Tags: 3d, Maps, Data Journalism, Data, Explainer

References

This video is based on the data used for this article: Climate warming in Europe, municipality by municipality

Municipality-level data for Italy can be accessed through this interactive interface: In marcia con il clima

For more details on the methodology, check out the following notes:

The dataset is an elaboration of Copernicus data. More details about the original dataset: UERRA regional reanalysis for Europe on single levels from 1961 to 2019. Data for administrative units are from ISTAT.

The scripts used to create this dataset from the original source is available on GitHub. The scripts used to generate the files used to make the video are also available on GitHub.

N.B. this video outlines some common issues related to data grids, but does not go into the specifics that are peculiar of the dataset used as an example. For more information, check out the methodological note at the bottom of this article and read the documentation that accompanies the original dataset. Some of the issues outlined in the video are mentioned also in the original documentation: “results in complex terrain, such as mountainous regions or coastal areas, are generally less reliable than results over a more homogeneous terrain. The models cannot represent the strong gradients that sometimes are caused by the variable terrain.”
Corona ilivyodhihirisha umuhimu wa teknolojia sekta ya elimu Tanzania
Tags: Wanadata, Data Journalism

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Almost quarter of stop and searches carried out in West Midlands involved Pakistani ethnic group
By: Umar Hassan
Tags: Med7373, Data Journalism

Credit: timstalb for Pixabay.

Almost a quarter of stop and searches for controlled drugs carried out by West Midlands Police in August 2020 were for the Pakistani ethnic group.

Of the 523 stop and searches carried out for controlled drugs in that month from West Midlands Police, there were 125 searches carried out within that ethnic group.

That’s a 2% fall for the ethnic Pakistani group from August 2019 carried out by West Midlands Police where there were 145 stop and searches being made for controlled drugs.

In comparison, other ethnic groups, which include Black Africans, Black Caribbeans, Indians, and White Irish were less likely to be stopped and searched than Pakistanis for controlled drugs in August 2020 by West Midlands Police.

Here is a map in Flourish, showing each point where a stop and search incident has been made for controlled drugs in the West Midlands region for August 2020.

What stop and search powers are imposed with controlled drugs?

If a person is stopped and searched for controlled drugs, then the stop and search power imposed by West Midlands Police is Section 23, Misuse of Drugs Act 1971.

In a document, outlining the stop and search overview of powers for West Midlands Police, a constable may search the person “suspected of being in possession of the controlled drug” and “detain them for the purpose of the search”.

A constable could also search any “vehicle or vessel” for possession of the controlled drug and require the person in control of the vehicle or vessel to stop it for stop and search.

Bishop Dr Desmond Jaddoo, founder of community group Birmingham Empowerment Forum said: “The whole idea of stop and search is meant to be good in alleviating crime but its used as a tool of abuse.

“Academics talk a lot about overpolicing, but when crime populates in Black and Asian areas, it does not support their argument around this issue.

“There have been incidents where a Black or Asian person in Birmingham has been unjustifiably stopped and searched for controlled drugs, which often ends up in an arrest or a caution from the police.”
Assignment 5: All the Chart Types
By: Emily Dosal
Tags: Data Journalism, Film Data, USA, Data Viz, UK

Midterm

My Flourish Graph [Link Below]:

Americans laugh a lot at animals, toys and silly, heartwarming duos

I decided to compare American comedy weekend and gross box office numbers, as well as audience ratings, to the British Film Institute data I used in my previous chart. I took the IMDB Box Office Mojo Domestic chart for the same weekend of June 28–30, 2019, and exactly like my previous chart, organized the top 15 comedy films out of the list of films playing that weekend across America and compared weekend gross, total domestic gross to date, and Rotten Tomatoes audience ratings. I chose Rotten Tomatoes ratings over IMDB audience ratings because Rotten Tomatoes is an American site. IMDB, although now owned by Amazon, was created and based in the UK, and contains more international traffic overall — most Rotten Tomatoes critics and users I’ve come across are American. Through comparing BFI and American cinema data, I found that American comedies were harder to find after the animated films and further down the list. Both British and American audiences responded well to the popular animated/Disney films; Aladdin and Toy Story 4 mainly. However, the USA has bigger numbers with more silly, slapstick and cartoon-y type comedies (Shazam!, The Hustle) and follows the steeping numbers with Pikachu popularity. In the UK, darker, dryer and more sarcastic comedies (Dr. Strangelove, Kind Hearts and Coronets, Sometimes Always Never) came sooner down the list with bigger numbers than that of any slapstick/family/duo comedies. Brits prefer darker, dryer and even vintage comedy films (Kind Hearts, Strangelove), while Americans gravitate toward animals, animated features, comic book characters and silly family duo movies (A Dog’s Journey, Late Night, Being Frank) — lighter themes.

One Dataset, 10 Ways

Chosen Data: America’s Favorite Fast Food Pizza (circa 2015)

The Actual Data (for reference):

Data Source: marketforce.com

10 Graphs:

Graph #1

Graph #2

Graph #3

Graph #4

Graph #5

Graph #6

Graph #7

Graph #8

Graph #9
Sveriges Natur och Newsworthy nominerade till tidskriftspris
Tags: Award, Data Journalism, Climate Change

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Moria: What happens when press coverage ceases
By: Vanessa Fillis
Tags: Moria, Data Journalism, Refugees

Credit: UNHCR

Interest in the Greek refugee camp Moria has died down since the camp was destroyed by fire.

On 8 September 2020, several fires have devastated Greece’s largest migrant camp. They made the overcrowded facility on the island of Lesbos uninhabitable, leaving nearly 13,000 people without shelter.

Immediately after the fires broke out, it made the news, with Google searches for “refugee camp Moria” reaching an all-time high.

But the data also shows that the attention did not last long. Just a week after the fires, the interest faded away, with Google searches dropping.

Franziska Grillmeier, a German journalist living on Lesvos, saw this coming. She raises the question if everything will start all over again in the new camp.

New camp, same situation

Since the fires, European countries have agreed to take some refugees and asylum seekers have been moved to a new camp. But mostly, the situation remains unchanged.

The overcrowded camp makes it impossible for the refugees to keep their distance.

“In the new camp, people who tested positive for the coronavirus and people who tested negative are isolated together behind barbed wire. It is a crime”, said Erik Marquardt, Member of the European Parliament for the Alliance 90/The Greens political party, in an interview with ZDF.

He adds:

“They often don’t even have running water to wash their hands.”

Marquardt criticises the Parliament in Brussels for saying, there should never be a Moria again, while at the same time the situation on Lesvos is worsening every day.
Less than 5 percent of suspects charged in 2020
By: Vanessa Fillis
Tags: West Midlands, Crime, Data Journalism

West Midlands Police are struggling to prosecute suspects. According to data from the Police UK, the majority of suspects could not be identified or prosecuted.

Less than five percent of reported crime suspects were charged between 1 January 2020 and 31 August 2020 in the West Midlands.

According to Police UK this is, among other things, due to a lack of evidence:

“In circumstances where there is insufficient evidence, the decision may be taken to focus resources on those offences which are capable of being charged and prosecuted.”

So far, more than 200.000 crimes have been reported to the West Midlands police of which three quarters have been investigated and closed.

For the rest of the cases no outcome data is available. In some cases, investigations continue to this day.

The data does not include any information on the outcome of anti-social-behaviour-crimes.

“This is because, unlike recorded crimes which are investigated by the police, a number of local agencies work together to respond to ASB and this set up varies across the country.”

Police UK

Police struggling to charge suspects across the UK

Not only the police in the West Midlands are struggling to prosecute suspects.

In the same period of time, over four million crimes have been reported across all Police Forces in England, Wales and Northern Ireland.

Only in five percent of these crimes a suspect has been charged.
數據看腥羶色標題：娛樂新聞最愛寫哪個部位？
By: Dennis Tseng
Tags: Data, News Articles, Data Journalism, Gender, Taiwan

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Netflix 紅什麼？從排名數據帶你一次看清楚
By: Dennis Tseng
Tags: Netflix, Korean Dramas, Data Journalism, Data, Taiwan

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Interviewing the data source: Pew Research Center Local News Survey
By: Laura Kurtzberg
Tags: Local Journalism Miami, Data Journalism, Local Journalism, Data Analysis

Illustration by Anna Golde from Icons8

When working with data as journalists, we don’t always have a hypothesis about the data in mind. In those cases when we are searching for a story in the data, it can be useful to ‘interview’ the data source. As described by NPR, interviewing the data source is a way to explore the data for the first time. We may ask a serious of preliminary questions, describe the context of the dataset, and use exploratory statistics to find data insights.

To have the class practice diving into a dataset, I found some open data and had everyone vote on what they would like to work with. The class picked the Pew Research Center Local News Survey, a nationwide survey on local news reliability, access, and community involvement. This data can be freely downloaded in SPSS file format (.sav) by anyone with a Pew Research Center account. For the purposes of this class exercise, I converted the data into a .csv file.

Some important links:

The result was the following guide, which the VIC-4001 class put together collaboratively over the course of three lectures.
Number of patients waiting 6 or more weeks for diagnostic tests goes up
By: Vanessa Fillis
Tags: Data Journalism, Health, Nhs

Two in every five patients on hold for diagnostic procedures in the UK have already been waiting for 6 or more weeks at the end of July 2020. This reveals data from the NHS. 24 percent of patients have been waiting for at least 13 weeks. The NHS hat set itself a standard that this number should be as low as one percent of patients — which was therefore not met in July 2020. At the end of the month, a total of 1.236.628 patients did not have their diagnostic procedures yet.

While one year before in July 2019 only 4 percent of patients had to wait six or more weeks, this number has dramatically increased in July 2020. Its peak was two months before in May 2020 when the health system was dealing with the height of the Covid-19 pandemic.

Number of patients waiting six weeks or more for diagnostic procedures

The diagnostic procedure with the shortest waiting time was Electrophysiology with a median waiting time of 2 weeks. Patients with a referral to Urodynamics had to wait the longest with a median waiting time of 9.8 weeks.
“I figured it would be better just to go all in” — Niels de Hoog on life change in lockdown
By: Callum Thomson
Tags: Journalism, Careers, Data Journalism, Career Change, Software Development

“I figured it would be better just to go all in” — Niels de Hoog on life change in lockdown

What motivates someone to give up a successful career and go back to school — in the middle of a global pandemic? Callum Thomson Sep 17, 2020·2 min read

When Niels de Hoog begins our Zoom call, the smartly dressed 34-year-old greets me from a large, sparsely decorated Birmingham bedroom. He’s new to the city, having recently arrived in the UK to begin the Masters course in Data Journalism at Birmingham City University.

Niels de Hoog: “I decided I’d better just go for it”

Niels was sad to give up his “lovely” Amsterdam apartment, but is settling in to his new home city, and has already set up a ‘Brummies’ group on WhatsApp to bring his fellow students together.

“I had to leave behind my social life, my family, my friends — that’s a big step,” Niels tells me. And making the move during the coronavirus pandemic has made the transition more pronounced, with return trips off the cards for the foreseeable future. “Hopefully they’ll lift these lockdown restrictions soon, so I’ll be able to travel back and forth,” he says. So why make the change?

“When I decided that I wanted to become a journalist, I decided I’d better just go for it. Instead of trying to do something on the side and hoping one day to roll into it, I figured it would be better to just go all in. At certain points in my life, I’ve needed to take a big step to get somewhere new.”

Niels has worked as a software developer in his native Netherlands for more than a decade, building mobile apps for commercial clients including Schiphol airport. But in his spare time, he has created apps with a social purpose. These include Gramophone, which creates personalised playlists for people with dementia, using music to help rekindle memories.

This social purpose drove his shift towards data journalism too. “I want to contribute to something meaningful,” Niels says, “and I felt that as a software developer, my options were limited.”

Inspired by the New York Times’ 2018 investigation into location tracking, he immersed himself in data journalism by reading and completing online courses, including one on Investigative Reporting in the Digital Age.

Niels hopes the Masters course will equip him with new writing and investigative skills to complement his existing knowledge of coding. And as data and algorithms play a greater role in our lives, he believes journalists with technical expertise are becoming increasingly vital to society.

“Our world is getting more complex. There’s a huge challenge for journalists to make the world understandable, give insight where needed, and to tackle injustice.”

Could his technical expertise be a burden on the course, if fellow students rely too heavily on his help?

“It’ll be back and forth, I think,” he predicts. “I’ll be asking them questions as well.”
Callum Thomson strives to make the complex simple
By: Niels De Hoog
Tags: Journalism, Careers, Data Journalism, Inspiration, Statistics

“There’s something about making tricky concepts easy to understand.”

Playing the piano at the level that Callum Thomson did requires an enormous attention to detail. Day after day he would sit down at a piano, and play for hours, trying to work out the best way to bring the music to life — striving for a level of perfection that was never quite attainable. This intense focus, and dealing with the pressure of needing to perform on stage, is what propelled him through his impressive career.

What started with a degree in music, ended up as a job as the head of data journalism at the Office for National Statistics (ONS). An unlikely journey as this may seem, it starts to make more sense when you dig a bit deeper.

Callum on stage at age 21.

At the ONS, Callum manages a team of seven people, which handles everything from writing news articles to managing social media accounts. As a journalist, he will often spot interesting stories hiding in the stats collected by the organisation. In the article “Being 18 in 2018” for example, he combines data on several different topics to explain how the lives of 18-year-olds in 2018 look very different from those of the generation before them.

“There’s something about making tricky concepts easy to understand”, Callum explains as he tries to put a finger on what it is that connects the different aspects of his professional life.

In a previous job, Callum made music programmes for the BBC and his goal would always be to make classical music more accessible, despite its reputation as being difficult to get into. To a certain extent it wasn’t that different from his current position. Only instead of compositions he now tries to make complex datasets understandable to the general public. “Fundamentally it’s a democratic exercise. It’s about opening up the facts to as many people as possible”, he says.

With a little imagination, this ability and the desire to take a complex idea and transform it so that it can be understood by most people, can even be seen in his musical career. For what is music, if not the translation of abstract thoughts and emotions into something that can be experienced viscerally through the medium of sound.

Even as the head of data journalism at ONS, Callum feels that he can improve. And that’s why he’s joining me and a number of others on a data journalism course at Birmingham City University starting next week. He hopes to gain the skills needed to work on data-driven stories more independently, so that he can tell these stories without needing to hunt down a collaborator with the right skillset first. “It’s something I’ve wanted to do for a long time, and I think it will be really beneficial”, he explained.
你越罷我越挺？分析臉書廣告數據，解讀罷免宣傳攻防戰
By: Dennis Tseng
Tags: Data Journalism, Politics, Data Visualization, Data, Taiwan

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#Howto use in-tooltip-charts with 23degrees.io EN/GER
Tags: Maps, Dataviz, Data Journalism, Data Visualization, Data Science

## für Deutsche Version nach unten scrollen ##

In our last blog entry we explained to you the basics of how to use tooltips in charts and maps. Today we’ll go a step further and explore how to insert one or more visualizations into the tooltip of a chart or map with 23degrees.

How to insert a visualization into a tooltip

To insert a visualization into a tooltip first go to the tooltip editor of your chart or map and select insert statistic.

Now choose from one of the three following options.

1. My existing statistics & 3. Insert a Specific slug

When selecting my existing statistics pick your visualization for the tooltip from the folder where it’s stored. Then click on the chart or map you would like to insert.

Alternatively, you can Insert a Specific slug of an existing chart or map into an input field. Slug = the part of the url that comes after “https://app.23degrees.io/view/”

In the next step, you can set parameters effecting the way the visualization will be displayed in the tooltip. These settings include width and height (as % of total tooltip) and the possibility to merge your in-tooltip-chart with the corresponding visualization according to a specific data field (column).

We call this a Join.

In the example below we merged the two visualization by the columns containing the country names (“Land”). Note that you can also merge by two or more columns

Once the Join is active click on ADD STATISTIC to insert your chart into the tooltip.

And there it is! Your tooltip now contains a line chart and thanks to the Join function the values displayed in the line chart correspond to the country selected on the map.

2. Data field

Another way to create an in-tooltip-chart is to insert a slug (the part of the url after https://app.23degrees.io/view/) of an existing visualization in the data table of your chart/map.

Here, the first step is to copy the slug of the visualization that will later appear in your tooltip.

Next, paste the slug into a data field (column) of the main visualization.

Create your visualization (save -> continue to statistic) and go to the tooltip editor. Click insert statistic and select Insert statistic from Data Field. Now chose the data field, that contains your slug from the dropdown menu.

The next steps are the same are the same as before. Mind that the Join function does not exist with this type of in-tooltip visualization.

As you can see, the diagram in the tooltip is only displayed, when the element containing a slug in the corresponding row of the data table is selected. In this case, the tooltip only shows a graphic for the “e-paper readers” because the other rows in the data table do not contain any slugs.
關於 READr 怎麼找記者的
By: Hsin-Chan Chien
Tags: Readr, Data Journalism, News

Learn more. Medium is an open platform where 170 million readers come to find insightful and dynamic thinking. Here, expert and undiscovered voices alike dive into the heart of any topic and bring new ideas to the surface. Learn more

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Artificial Unintelligence: How Computers Misunderstand the World by Meredith Broussard
By: Lisa Hwang
Tags: Data Journalism, Artificial Intelligence, Ethics, Meredith Broussard, Machine Learning

I was about to type something about the machine uprising but that sounded too Terminator-ish. But there’s a grain of truth to it. In Artificial Unintelligence: How Computers Misunderstand the World, Meredith Broussard, an assistant professor at NYU’s Arthur L. Carter Journalism Institute who studied computer science as an undergrad at Harvard, is here to tell us about how computers are brilliant and useful but are only as smart as the people who programmed them.

The book is certainly accessible and appealing to wide audiences, as evidenced by being recommended to me by a physician. You’ll find some Python programming snippets in the book but nothing too alienating for someone who has no clue about coding. Data science students will likely recognize the Titanic Kaggle machine learning competition in Chapter, 7, “Machine Learning: The DL on ML.”

Artificial Unintelligence delves into specific experiences that Broussard had as well as ethics. She writes, “One recurrent idea in this book is that computers are good at some things and very bad at others, and social problems arise from situations in which people misjudge how suitable a computer is for performing the task.” The chapters that lingered with me most were the ones about the hackathon bus (Chapter 10, “On the Startup Bus”) and her rides in early autonomous vehicles and test driving a Tesla (Chapter 8, “This Car Won’t Drive Itself”). Hmm, I sense a vehicular theme here. But I won’t write more in case you want to read about her adventures (misadventures?) for yourself.

Computers are tremendous assets to humanity but they aren’t perfect, and Artificial Unintelligence shows off the perils of trusting them too much. I recommend this book for people who are interested in computers, data science, machine learning, and tales of technology gone wrong.

xkcd comic mentioned in the book

On a side tangent, personally, I think Broussard should write an episode of Black Mirror. With her computer science background and writing experience, it’d be interesting to see what she’d come up with for the Netflix show that explores dark technology themes in the future or very near future. Charlie Brooker, please consider this.
#Howto use tooltips with 23degrees.io EN/GER
Tags: Maps, Dataviz, Data Journalism, Data Visualization, Data Science

## Für Deutsche Version nach unten scrollen##

Tooltips are annotations for your chart or map that appear once you click or hover on a certain point in your visualization (either a geographical region on a map or a line or bar in a chart).

To start editing your tooltip go to your preferred visualization. Activate the editor mode by clicking on the pen icon. Then click on the tooltip section: fifth tab from above.

Tooltips can display three different types of information.

1. Text or unicode icons (static)

Simple text or unicode icons can be typed into your tooltip via tooltip editor. The text will remain static regardless of where you will place your click on the map or chart.

2. A data field from the corresponding data set of your visualization (modular)

Each inserted data field will display a characteristic (i.e row ) of a specific variable (i.e column) referring to a matching variable of the given row.

For example a world map showing the spread of new Covid 19 infections per day: when clicking on a country the tooltip will pop-up showing the information we have chosen to be displayed inside our tooltip.
Cosa si dice sui social dei banchi di scuola a rotelle voluti da Azzolina
Tags: Big Data, AGI, Journalism, Data Journalism

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Tra Piazza Affari e ‘Piazza Social’ c’è sintonia sull’accordo per Aspi
Tags: Big Data, Journalism, Data Journalism, Politica, AGI

Learn more. Medium is an open platform where 170 million readers come to find insightful and dynamic thinking. Here, expert and undiscovered voices alike dive into the heart of any topic and bring new ideas to the surface. Learn more

Make Medium yours. Follow the writers, publications, and topics that matter to you, and you’ll see them on your homepage and in your inbox. Explore
Time to Shine, A Career Change Story…
By: Qamar Zeeshan
Tags: Hope, Career Change, First Post, Struggles In Life

Another challenging day of my life, I was told by my employer by having one-to-one, probably thinking of NOT hurting with his words, This job is not suited with your educational background and skills, we are unfortunately unable to continue our journey together. We are sorry, but you have to go.

Worried, how am I going to survive with my family in UK, as I had no such provision for this sort of situation. Lucky, that I never lose hope and kept struggling, finally thought of moving towards I.T as my career change. I joined a course in London, and within couple of months, I got my first role as “Desktop Engineer” as a trainee and then got another offer from a big organization “Fujitsu”, where I dreamt of working, couple of years back.

Don’t feel entitled to anything you didn’t sweat and struggle for. — Marian Wright Edelman

Photo by Frederik Löwer on Unsplash

Cutting a long story short, I’m stepping up and growing to be an experienced “IT Systems Engineer”, and will continue to pursue career in I.T. as long as I can…
Life after Entrepreneurship to Corporate Job
By: Rahul Bhavsar
Tags: Corporate, Entrepreneurship, Career Advice, Business, Career Change

Photo by bruce mars on Unsplash

I started my career with my own business much before i finish my education, I had no experience in business and neither my family had anyone from business. So the first 2 business i made many crazy and stupid mistakes and ended up busting the both the business. I learned a great deal of lessons from those 2 business but was forced to take the job to pay off the debts.

I kept getting the urge of running my own business and after 5 years of working for someone I gained some good experience and keeping all the mistakes of past I started again. For next 7– 8 years I started 4 startups in the Cloud Industry, 2 services company and 2 SaaS product companies, I never thought that I would get back to Job ever but despite learning from mistakes of the first 2 business I made new mistakes and, but I learned a lot from those also. I will share the mistakes and learnings of the mistakes in a separate story, but I finally ended up closing 2 companies and sold the order 2 Companies.

I was approached by a Global Company at the right time when I was closing the chapter of my second wave of entrepreneurship, I decided to give it a try as I wanted to learn and gain more experience in the Cloud Industry and finally got the job and started the journey first time as an executive in a global company, its been 5 years and I can say that the journey of working in the corporate after a strong entrepreneurship experience has been great. Everything I did as a founder helped in an unusual way to think, do and execute and perform as I was able to relate to the ground reality of what it takes to run the business and was able to understand the challenges of our customers much better and provide the right solutions. It also helps me to constantly challenge the status quo and bureaucracy of process and get starting to take the actions for the problems. Bottom line is that it's to the great advantage if you move to a corporate world after running your own business as you gain a lot more unique experience which is especially useful in the corporate world.

But this is not the only reason I am happy and motivated, it's the company and leadership of the company who really made the difference. The leaders gave me the freedom to work and allowed me to embrace my ideas and that kept my entrepreneurship spirit going within the company, the company really took care of my needs when I needed and gave the responsibility which was exactly matching my interest and experience. Its proven when you love what you do you excel in your work and I experienced that in what I am doing.

I hope this story helps all those who are at that crossroad of life from business to job.

Rahul Bhavsar (LinkedIn Profile)
My Covid Career Change & Why Maybe You Should Have One Too.
By: Lisa Lee
Tags: Careers, Career Advice, Covid-19, Career Change, Working From Home

Photo by JESHOOTS.COM on Unsplash

When the quarantine started, besides being shocked by the fact this all was happening, I was selling real estate, married, and mom to my 7 year old son, two teenage stepsons, and two wild, boisterous lab rescues. And then, I soon became a teacher like all other parents of the world. But after the dust had settled and the world started reopening again, there was all this talk about our kids going back to school in the fall. I was all for it as my son is a complete social butterfly. But I also thought what happens if they shut the schools down again? I can’t be trailblazing all over the county selling real estate with my 7 year old in tow. I need a job working from home.

In addition, I knew an impending divorce was upon me, and I therefore also needed consistent income to be a single mom. What better solution then to find a job where I could work from home? So that’s what I did. I reached out to a colleague from my old sales job and started working from home. Now, not everyone has the luxury to do this. A lot of people work out in the field or away from their homes.

However, in addition to working from home full time, I did find that the opportunity to create a side hustle as an extra means of providing was quite viable in many different areas as well. I started making tribute videos for birthdays, Mother’s Day, and upcoming graduates at $50 a pop. There was also writing. Medium for example allows you to write from your home or anywhere. And several companies like Mary Kay, Arbonne, Rodan & Fields, and many more allow you to sell things virtually without carrying actual inventory or seeing people in person. Vloggers on YouTube are creating videos and incomes from some of the coolest places on the planet.

So, although, the virus of 2020 has been awful in so many ways, it has also allowed me to shift my mindset to the possibilities of other income streams in addition to my main job. What I love is that these other possibilities give me an outlet to be creative which is one of my passions in life.

What about you? Have you considered or already started creating multiple income streams for yourself which allow you to be mobile or work from home? If not, think about it. The possibilities are endless!