Line graphs don’t have to be boring. Seaborn line charts add a whole new opportunity to make your line charts stand out and communicate new insights. Follow these easy to follow tutorial on how to to create line chart in Seaborn. There specifics that will be covered are colors, style and error bars. The fist […]
Data is from the Center for Disease Control which has health and disease penetration by state, county and city. This dashboard was created in Microsoft Power BI with two CSV export from the CDC that listed percentage of residents with diabetes by year and state. No calculated measures were created due to the data having percentages. […]
What is Pandas? Pandas is a Python library that used to read, clean, visualize, and process a dataset. Pandas uses a high-performance data analysis functions to manipulate data a structures which called data frame. You can compare this to a table in tools like Excel. Learn Python with Codecademy. Master the skill that your future […]
The importance of data analytics and visualization has grown tremendously over the last 5 years. The terms Data transformations, Big Data, AI, and Blockchain are discussed in every sphere of business including operational staff and c-suite executives. It is of paramount importance that huge data sets are visualized efficiently to give managers better insights and […]
This data was sourced from Kaggle which had both McDonalds and Starbucks items datasets. The data was broken up by items and nutritional elements. I put this data into a Power BI dashboards. There were several functions to get this to work. The exercise data set was sourced from Nutri Strategy I based all […]
How to use natural language sentiment analysis in your text data with Power BI. I am really starting to fall in love with Power BI now that I have the ability to use Python scripts to transform my data and bring my visuals to a whole new level. We will use the NLTK Sentiment Intensity […]
There are multiple ways to join, concatenated and merge data using Pandas. However, it all depends on your use case. For the examples below, we are going to use the example of a pickle shop merging their data with an ice cream shop to create a single data frame. Let’s take a look at the […]
Pandas cut function or pd.cut() function is a great way to transform continuous data into categorical data. The question is why would you want to do this. Here are a few reasons you might want to use the Pandas cut function. Practice your Python skills with Interactive Datasets. Reason to Cut and Bin your Continous Data […]
We are going to do some machine learning in Python to transform our dataset into algorithm-digestible data for churn analysis. using sci-kit learn It’s a ton easier than it sounds. We will be utilizing the Python scripting option within the query editor in Power BI. Learn more machine learning and Power BI use cases with […]
One of the best things that have happened to Power BI is the addition of Python scripting options. There are a host of things that can be accomplished such as data imports, custom Python visuals, and advanced data cleansing. For this tutorial, I am going to show you how to import PDF tables into Power […]