A quick-and-dirty tool for visualizing time-series data

1 of 2 The following code is from the post titled How to convert time series to temporalis, a powerful, time-tracking tool.

The post describes how to create a simple data visualization that uses time series.

The code is here.

You can find the code on GitHub.

Let’s use this data visualization to explain what’s going on in the real world.

The first question you need to ask is: What’s the data for?

In this post, we’re going to use the time series data for two countries, Turkey and the United States, which are not in the world.

We’ll also use some time series for each country and see how they’re different from each other.

We’ve also shown how to convert the time-based data into a temporalis time series using a tool called Gantt chart.

If you’re interested in learning more about Gantts, here’s a link to a post on the subject.

We also want to look at some other data sources, but they’re not available for use with this visualization.

To understand why, let’s first look at the underlying time series that’s being analyzed.

As you can see, Turkey’s data is a mix of two types of time series: time series from the last 10 years and time series since the 1940s.

There’s also a time series with a single year (1950-1956) for which we’re not sure which year it’s from.

In short, the data in this visualization is not just a mix, it’s not just time series, it has all sorts of variables that can change over time.

Let me explain what those variables are.

The data that we’ve looked at so far is from Turkey’s National Statistical Office (TNI).

It’s a collection of data from government agencies and private companies that collects and analyzes information on the daily lives of Turkey’s citizens.

For a quick overview of what that data looks like, here are a few examples.

As I mentioned earlier, we can see that the total number of people in Turkey has been steadily declining since the 1990s, while the total size of the country has grown.

The time series of the Turkish population that we’re interested the most in is the period from 1970 to 2020, which spans from the period 1970 to 2004.

The next time that we look at that data, we see that it is growing faster than the overall Turkish population.

This is a clear sign that there is a growing number of Turkish citizens.

This data is also a mix that includes data from the World Bank and other sources.

We can see here that the World Population Prospects (WRP) dataset from the International Monetary Fund is also important for Turkey.

The overall trend in Turkey’s population growth, however, is not showing the same trends that the WRP dataset shows.

The average growth rate of Turkey over the past decade is much slower than the average growth rates of the world’s populations.

To get a better understanding of what is going on here, let me take a look at a sample of the data from each of the countries.

You’ll notice that Turkey is the only country where we have time series in the format of a time- series from a single month.

You also see that Turkey’s growth rates are relatively flat over the last 20 years, which suggests that there are more than a few reasons for this.

It seems that the time trends in Turkey are changing more slowly than the data is changing.

There is also data that shows a higher percentage of Turks who are now employed.

This may be due to the fact that Turkey has a relatively small population and a relatively high unemployment rate.

The fact that Turkish citizens are less likely to have jobs and that they’re less likely than non-Turkish citizens to have an education makes Turkey look more depressed.

The most important variable for Turkey is not the population growth rate per se, but the age of the population.

Turkey has an aging population.

As of 2020, the population was 63.6 million, while in the 1990 census, it was 63 million.

This means that in 2020, Turkey is going to reach a demographic age of 65 years, and this is due to a very small increase in the number of the average Turkish citizens over the age 30.

If we look closer at the population change for each of these countries, we will see that there’s a clear relationship between the two.

In Turkey, the increase in age is the largest.

As a result, the percentage of the overall population that is between 20 and 64 years old is much higher in Turkey than in the United Kingdom, Germany, and Italy.

That’s because Turkey has one of the highest rates of elderly population in the European Union, and its older population is also less educated.

This makes Turkey a country that is increasingly dependent on immigrants and on migrants to provide the labour force, and it also makes it a country where young people are more likely to be unemployed.

In terms of Turkey, you’ll also notice that the