This material may not be published, broadcast, rewritten, or redistributed. When it goes live, you'll also be able to access the system using a smartphone.Ĭopyright 2015 Scripps Media, Inc. The new online system is expected to launch next year. She says that's a threat her people are constantly monitoring. The clerk also pointed out that when it comes to personal information, a potential cyber attack is always a concern. "I believe that we are doing everything that is humanly possible to be able to protect the people from Palm Beach County," said Bock. "Now that we're going from hard copy into digital public records access, it's much easier for state and local officials to make bigger mistakes through the click of a button." Bock says she will do everything she can to keep the county's library of information safe. "I see it as an example of the potential danger of dealing with digital public records," said Green. "We do fingerprinting." But even with safeguards, civil rights attorney James Green fears problems. As Clerk, they serve as the keeper of court records, documenting our lives. "Nobody comes into our office without having a background check, without having an FBI check," explained Bock. As the County Comptroller, they provide a critical check and balance to make. Those checks and balances, she says, aren't limited to just the documents. And not one, but two people will manually check to make sure forbidden information doesn't go public. The clerk says special software will flag private information like bank account and Social Security numbers. "Would you seek Social Security numbers, would you sell bank information? Would you sell it? That is something we do look at and that's why we have a lot of checks and balances." "Would somebody who has access to that information sell it?" said Bock. The records her office will soon make available online often contain people's personal information. "There could always be a breach," she replied. The state of Florida started generating public records in 1849 and these records usually include information from 67 counties. "Are you concerned that what happened in the city could happen here?" NewsChannel5 reporter Gabrielle Sarann, asked Bock. The Florida State Records website contains information about criminal records, court records, vital records and includes over 185 million transparent public records.
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There are a few ways to create subplots like the one above. In this case, I’m creating the plot through the matplotlib API because I find it easier to customize. #- format y tickers manually (it could be done in loop, but I kept getting some problems)Īxes_major_formatter((lambda x,pos: f"%"))Īnd the output will be: Chart of top 10 economies, showing their GDP growth and actual dollar value We can tell pandas to create a separate plot for each series (column) in the dataframe by passing the subplots boolean parameter to the plot function: The resulting dataframe for each country will look like this: Showing dataframe corresponding to USA data from the World Bank Pandas Subplots Finally, the column names were replaced with more human-readable strings. Additionally, I turned the time column into a DateTime column and set it as the index. The code above will return a multi-index pandas dataframe like this: Dataset format as it comes from wbgapi packageįor this exercise, I found it easier to work with individual country dataframes, so I had to split them based on their country codes. I just wanted to share how simple it is to fetch the data. Here are some of the codes:ĭon’t pay too much attention to the undefined variables and objects in the code above. I found the ones I was interested in by searching on Google. The World Bank uses code names for different types of data. The download process is relatively simple. To keep this post manageable, I will only focus on the current top 10 world economies by total GDP, according to this Investopedia article. The World Bank has a lot of data on every country, all the way back to 1960. I think it is very useful for data acquisition. Luckily, I found a Python package that implements the World Bank API to make downloading the data easier.Įxpect a full blog post in the future covering this library in more detail. Now, you could download the data manually, but I prefer a more programmatic way of doing it. The World Bank has several databases to choose from. Dataset For This Postįor this post, I decided to get some data about different countries’ economies and populations. You can find the link to the code at the end of the article. On top of that, I’m showing how you can use subplots to join data series that share a common axis, for example, stock prices and trading volume. I’ll also be covering how to format the tick labels for each axis, and the titles and labels for the plot. Therefore, you can consider this as a follow-up to that post.įirst, I’ll be introducing a very convenient Python library to download global economic data from the World Bank. However, I did not get a chance to go deeper into them. 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