No deal, no killing! Big Data visualization technology decrypts global ivory trade shady

Objective

since looking at the two articles about Datav data use by the big god of mu sauce, I am also very preface want to use Datav artifact to make a data visualization work. After an afternoon of fighting, I succeeded from small white users to advance for the novice user, after (jiao) inspection (Xun) dare not to stash, specifically written down to share with you. This novice tutorial only attempts static data; API, database, SQL and other advanced data application tips can refer to the previous article of mu sauce, please poke Links: Datav First combat sharing: teach you 30 minutes to create a large car screen

as a former country that has carried out assistance missions in many countries in Africa, NGO practitioners, I very much love the scenery of the African grassland, the sunset, twos elephants, giraffes under the baobab tree slowly through the scene, is Africa left me the most impressive. I can't understand why someone would slaughter these beautiful animals in order to make some flashy decorations.

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"No sale, no killing", the anti-wildlife products of the public service ads are very popular, for the protection of wild animals played a big role. has become the Internet industry practitioners I have been very curious, can access the data on the internet, grilled wild animals poaching, smuggling, consumption of the shady! A simple search found that there are many publicly disclosed data on the Internet wildlife protection agencies, especially about the illegal trade of ivory data is the most adequate. So , centralized fire, ivory illegal trade as a breakthrough!

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Step 1: Start by setting a few small goals to achieve! Goal in front, work heart not Panic!

Goal One: The final data visualization works can be shared over the Internet, the more sharing, the more value. After some research, Datav can generate web links for sharing, praise!

Goal two: Make an eye-catching global ivory smuggling roadmap, grilled by a grilled elephant who is killing elephants, who are consuming ivory.

Goal Three: Make a map-based country heat chart to see which places are the most elephants.

Goal four: Analyze the trend of illegal ivory trade in recent years.

SETP2: Looking for illegal ivory trade data

There are many sources of Internet data on illegal ivory trade, www.savetheelephants.org, www.worldwildlife.org, https://cites.org/eng/prog/mike/index.php, is a rich database. Based on the objectives of STEP1, the following types of data are collected:

1. Some of the smuggling routes of ivory (more than 500 kilograms of international ivory smuggling cases seized between 2009-2011)

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Data Source: CITES MIKE Program

2. Some elephant conservation country data

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Data Source: "Continent-wide survey reveals massive decline in African savannah elephants", 2016

3, all kinds of comprehensive statistical data

Seizure statistics of 2009~2013 ivory smuggling cases

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Data Source: Traffic International

2009-2013 seizure of ivory smuggling statistics

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Data Source: Traffic International

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No deal, no killing! Big Data visualization technology decrypts global ivory trade shady