#data journalist

New Post has been published on http://newsreaders.in/india-becomes-most-dangerous-country-for-journalists/

India becomes 5th most dangerous country for journalists : RWB

News Delhi : In terms of journalists, India is one of the most vulnerable countries in the world, while the entry of America in this list is for the first time. In the report of Reporters Without Borders released on December 18, the assassination of Saudi journalist Jamal Khashogi and the Data Journalist of Slovakia Yan Kucheik shows the extent to which enemies of freedom of press can go. Both India and America are on the same page in this list.

In the 11 months of 2018 80 journalists have been killed around the world. Apart from India and America, this list includes Yemen, Mexico, Syria and Afghanistan. According to the Report Without Borders report, 6 journalists were killed in this year in India and many other journalists were killed in fatal attacks. Along with this, several journalists were assaulted or threatened.

Apart from this, many journalists had to face a hay campaign against themselves, in which the threat of killing life on social media was very common. Reporters Without Borders report says that among the 5 most dangerous countries in the world of journalists, besides India, America, Mexico, Yemen, Syria and Afghanistan are also involved and many journalists have lost their lives here.

The study of the report reveals that barbaric methods were also used to kill these journalists. In his report, he has been referring to the murder of two journalists Naveen Nishchal and Vijay Singh of a Hindi newspaper.

The report said that a village head of Bihar had killed SUV car on both the reporters on March 25 after reporting it against him. One such incident happened in Madhya Pradesh, where a journalist reporting on local mining mafia was loaded and killed by a truck.

In the last 3 years, criminal organizations involved in illegal mining of sand or other illegal mining have killed at least six journalists.

Data journalist, The Grocer – William Reed Business Media – Crawley, England

One of the great things about The Grocer is there’s lots of lovely data. Sales. Prices. Footfall figures. Availability stats. Clicks. Eyeballs. The FMCG industry is awash with amazing data. And The Grocer is lucky enough to be able to analyse a lot of it.

As a result, we get some fantastic stories. Stories that our audience of food and drink professionals love. Stories that are picked up by the…

Let Excel, Pandas and Tableau count the ways.

Data journalism has too many parts and characteristics that I love for me to say that one in particular is my favorite. But one of the most powerful and satisfying parts of it is creating data out of information that's out there, and liberating data/information that sources tell me is locked up.

Whether it's a report, a tip from a source or an event, I'm always curious if data exists about it. More often than not, data does exist. But also more often than not, it's hidden or concealed, or buried within the dreaded PDF. It also may not be in typical "data" format yet.

One of my favorite moments as a data journalist comes when a source tells me, "I don't know," or "I know that data exists and we have it, I just don't know where it is or how to get to it." No problem, I say, that's what I'm here for.

In the past two months at Naples Daily News, I've figured out how to crack PDFs and mine website source code to get to data that otherwise might have taken days or weeks to get to me via calling sources. Calling a source and asking for the data still stands as the best method. I actually like it when my sources know what I'm up to; it makes me feel like I'm not going behind anyone's back.

Still, there's a little geeky programmer inside of me who feels an awesome victory when I get data and nobody knows I have it.

But what's more? When my sources become perplexed, unsure and not confident about their ability to get me the data, and I call them back the next day (or write an article/make a map or graphic the next day) saying, "yep, I got the data." 

What are my secrets? How do I liberate the trapped data and get the stories? 

C'mon; I've worked too hard to find these solutions and tricks to just give them away. If you want the data, and if you want to know, just start looking. 

It's difficult to say whether this is the blog's final transformation. It's been a hooping blog and a cooking blog, but now I think it's time for it to become a blog about the trials and tribulations of a beginning data journalist.

Finishing my undergrad degree with a sudden fervor for data and using it to better my reporting came unexpectedly and all at once. Too many sleepless nights I remember wondering if a dataset existed or if I could even get it. Lots of times I'd drift off to sleep with the image of me working my dream job in a dream location with a dream team.

All jokes and cheesiness aside, it happened. I'm the database intern for Naples Daily News and my first data story for the paper ran front-page and above the fold today. The map, available online through Tableau Public (god love ya, Tableau) is by far the best part. It wasn't (that) easy, though. 

I knew our idea was possible using Tableau but I hadn't ever really used it to go with a story-I'd mostly just played around with it and plugged in random datasets to see what kind of graphics and maps it could make. But this time, I had a mission.

In the past month or so in Collier County, we've had three bear-vehicle collisions. In two of them, three bears died. One of those three bears was a cub, and it just breaks my little heart. I love bears. They're just so dang cute. 

So, as heartbreaking as it was to write about bear deaths, it was also somewhat therapeutic to crunch that data and make the map and write the story. When my editor and I sat down and looked at the numbers, we found central Florida counties to be heaviest in bear-vehicle deaths. Counties such as Lake, Marion and Volusia all border or are within the Ocala National Forest. Similarly, Collier's got the Big Cypress Reserve and is close to the Everglades. 

As the article reads, we've got more people and more bears. The data proves it: more people, more bears, more people running into bears-quite literally. 

The map came after receiving the data in an email, just copied and pasted into the email. Then it went into Excel, and many versions of Excel later (including using Tableau's super handy Excel plug-in; thanks, Roberto) out came the pretty little dataset that powers the map.

Information Is Beautiful

David McCandless

London, UK