Shopfronts, people to watch, friends to run into, spontaneous conversations with strangers, the richness of details in t

Having cars as protagonists is inadequate, seeing that the social functions of the city are completely disregarded, resulting in cold and uninviting spaces that lack human life.

Spaces to get-together with friends, meet people or just enjoy the city are vital for an active urban life. To achieve that, it’s necessary to have well-thought-out urban furniture, as well as a plan that is based on the human scale.

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simpler performance testing and analysis, and better application performance in general, the team is investigating ways to simplify this process. Stay tuned for more on that when we have anything to share. But in the meantime, I hope the commands and information above are helpful for your startup testing needs.

By looking at the visualization, we can see that customers hardly repurchase this item more than twice, and a lot of customers cease to buy this product after their first purchases.

For an urban setting to be planned around people’s well-being and social needs, it is key to pay attention to the human dimension. To accomplish that, some aspects — that often intertwine as you’ll see — are of crucial importance. Here are 5 of them:

Once, when I went to Germany for a college workshop at a university in Oldenburg, I spent a few days in Frankfurt before heading north. It was my first time in Germany and I was the core definition of a foreigner — I was alone and couldn’t speak a word of german. As soon as I left my suitcases at the hostel, I went out to explore the city. That’s when I came across the street in the photo below. I felt compelled to sit and watch people walk by while listening to a guy playing the piano right next to where I was sitting. Somehow I felt like I belong there. That’s a people-friendly place.

In this article, I have shown you how to customize your data with different types of visualizations. If you find it helpful, you can save it and review anytime you want. It can save you tons of time down the road. :D

In this article, I have shown you how to customize your data with different types of visualizations. If you find it helpful, you can save it and review anytime you want. It can save you tons of time down the road. :D

Concrete benches scattered around a huge square is not the urban furniture I am talking about. Well-thought-out urban furniture is comfortable and stimulates conversations and is also strategically-positioned in a way that takes advantage of city life.

Cities are supposed to be a place of encounters, spontaneous conversations, or to relax and people watch. Cities should invite us to sit and enjoy ourselves for a while. They should be a place where we can create new experiences, or to simply take a nice walk.

As I want to see the number of items sold in each day of the week, I may use this type of chart to display the information. As usual, let’s first calculate the items sold and group them by categories and days.

Another way to review your data is swarm plot. In swarm plot, points are adjusted (vertical classification only) so that they do not overlap. This is helpful as it complements box plot when you want to display all observations along with some representation of the underlying distribution.

For this data, I want to compare the sales of top 10 categories with the rest in both year 2014 and 2015. Now, let’s transform our data to get this information visualized.

Also, in places that we feel invited to sit for a while and enjoy, like that street in Frankfurt, the human scale is strictly taken into account, creating a space full of detail, such as different textures, colors, decorations, smells, and sounds. That’s what makes an urban setting people-friendly.

It’s a fact that most of our cities are planned around cars, highways, and parking lots while the most important element of urban planning is callously put in the back burner: people.