Visualizing Sales Data with PivotCharts in Excel In this code along, we delve into the world of data analysis and visualization using PivotCharts and PivotTables on a sales dataset. Agata Bak-Geerinck 2 de noviembre de 2023 Data Analysis ...
The Adult dataset derives from census data, and consists of information about 48842 individuals and their annual income. The example code in this section uses one-hot encoding. Python Copy # This code uses one-hot encoding to convert all categorical variables into binary vectors. schema = ""...
Congrats on making it to the end! You've learned enough in this tutorial to continue self-learning Plotly from some of our other resources: Introduction to data visualization with Plotly in Python course Data Visualization with Plotly in R tutorial Creating histograms in Plotly tutorial You can ...
Python’s visualization landscape is quite complex with many available libraries for various types of data visualization. In previousarticles, I have covered several approaches for visualizing data in python. These options are great for static data but oftentimes there is a need to create interactive ...
Categorical:The values of these variables are names or labels. There is no inherent ordering to the labels. Examples of such variables are countries in a sales database and the names of products. Ordinal:Variables that can take on values that are ranked on an arbitrary numerical scale. The ...
transforming the data into visual elements that reveal patterns and trends that people might miss otherwise. For example, a visualization might include intersecting line charts that show how a change in an organization's marketing strategy in the first quarter led to a drop in sales throughout the...
Recently, a customer contacted us with an interesting challenge: How to generate charts from data using AI? They had initially tried usingAzure OpenAI AssistantswithCode Interpreter, which can generate static images by building and executing Python code in real time. Although the s...
the map and the color spread. This means that the more latitude-longitude dots you have on the map, the better the representation of reality. Precision geographical heat maps are created with mathematical-statistical tools, like R, Python, or more specialized tools, and require a lot of data...
As a seasoned Pythonista, I am a big fan of Kenneth Reitz’ Requests package as it massively simplifies HTTP communication in the Python world. This inspired me to write Excel Requests, a dead simple Excel Addin to make Json over HTTP from Excel a walk in the park. Installation Installing...
Download Leo's Julia data set from Dropbox (11MB) And just in case you think two was enough, Leo also made this fantastic rainbow plasma viz. I'm not sure how he did it, but it is mesmerizing!Steven PestanaTo create Blue Marble in Tableau, I used a python script to extract and ...