100+ Concepts of Data Science/Analytics/Engineering in 5 minutes. (10/10)
Here are the last 10 terms (91–100) in 5 minutes to give you an overview of the data world from Data Science to Data Analytics to Data Engineering:
91. Scatter Plots
There are many different ways to visualize data.
One of the most common is a scatter.
Scatter Plots are commonly used to visualize a relationship between two or more variables.
You can create a four-dimensional scatter plot by giving each point a color in a three-dimensional scatter plot.
92. Bar Charts
Bar Charts are a staple of data visualization and are a great default chart to use because they’re very familiar to most people and easy for people to read.
Most people display their charts in a vertical bar chart.
I would actually suggest going for the horizontal bar chart as most people read right to left, top to bottom the horizontal bar chart preserves the natural order of reading and makes it easier to compare classes to one another.
93. Pie Charts
Pie Charts are a chart type that should almost never be used if you have more than three very differently sized groups.
It’ll become very difficult for your audience to differentiate the group.
Pie chart slices are differentiated based on the volume of each slice.
I would actually suggest that you switch pie charts to horizontal bar charts.
That way, your data is communicated in a more consistent and easy-to-read manner.
94. Line Graph
Line Graphs are an excellent way to show change over time.
Just be careful as the fact that the lines have no breaks in them implies that the data is continuous as in something happening between the points on the chart.
95. Time Series Data
Time series data is a very common data type used to graph line graphs.
It is any data with a date and time in one column and generally a numeric value in another column.
96. Tree Maps
Treemaps are a fun graph type that can highlight the biggest categories in a complex system.
They’re often used to map out the sectors of a nation’s economy.
A Histogram is a special bar chart that groups the values in a single group in buckets that are represented by columns.
It’s used to illustrate how data is distributed.
The choropleth map is a great way to illustrate the differences in geographic areas.
It’s a very powerful map type and is used a lot to illustrate the difference in populations.
99. Radar Graph
Radar graphs are a great way of comparing multiple quantitative variables against one another and really highlighting the outliers that might be there.
100. Ultrawide Monitors
And finally at 100; ultra-wide monitors.
A great way to annoy people on zoom calls whenever you share your screen by making your text way too small to read but the perfect size for you.
You can’t be taken seriously as a data professional if you don’t have one of these.
Thank you so much for reading. This is the final part (10/10) of this series. If you liked this story don’t forget to press that clap icon. Check out more of my stories here: Aditya Ghimire. Follow for more.