I thought I'd better post an update about the Lemmy.nz census. I have been working on analysing the data and writing a post, but there's probably still a while before I'll be done. There's quite a lot to get through.
Also, if anyone knows any good tools for generating graphs then let me know! I'm using LibreOffice Calc as an excuse to learn how to use it, and it's graphs aren't that great. I can break out Excel if I have to but to be fair Excel graphs aren't much better.
You could do this with python and a couple of libraries. This is just an example, but you could import the data from a DB or use a CSV file.
import matplotlib.pyplot as plt
import numpy as np
# Pie chart data
labels = ['Category A', 'Category B', 'Category C', 'Category D', 'Category E']
sizes = [30, 25, 20, 15, 10]
colors = ['#ff9999','#66b3ff','#99ff99','#ffcc99','#c2c2f0']
# Pie chart
plt.figure(figsize=(8, 8))
plt.pie(sizes, labels=labels, colors=colors, autopct='%1.1f%%', startangle=140)
plt.title('Sample Pie Chart')
plt.axis('equal') # Equal aspect ratio ensures that pie is drawn as a circle.
plt.show()
# Histogram data
data = np.random.normal(0, 1, 1000) # Generate 1000 random data points with a normal distribution
# Histogram
plt.figure(figsize=(10, 6))
plt.hist(data, bins=30, color='#66b3ff', edgecolor='black')
plt.title('Sample Histogram')
plt.xlabel('Value')
plt.ylabel('Frequency')
plt.show()
Ooh thanks! I'll definitely have a play with this. What's the step before this? Is it as simple as installing python, putting the code in somefile.py, then running it?
LibreOffice Calc supports its own macro language as well as a subset of VBA! I recently converted an Excel macro to LibreOffice and it wasn't too painful.
Fudge, I forgot to complete it! I got halfway through and started having an existential crisis about my identity ha ha and thought I'll come back later and fix this.
Mainly I don't like that the pie charts are hard to tell what is what. If there are 6 or 7 things and you have to tell which is which by colour, that's a bit tricky. Labels on the sections would be better, but I haven't worked out how to do that.
Maybe if I think a pie chart shows it best, I'll also include the bar chart so it's clearer.
Pie charts tend to work when you have three to four categories, more than that they fall apart.
The nice thing about the bar chart is the axis label which can be the raw value rather than a percentage, having a large (7-8) number of categories is still readable especially if there minority categories.
Also, is all just my opinion, so don't let me stop you using whatever you like!
Haha one of my pet peves for data visualisation is graphs that don't start at zero. I get sometimes the movement is too small to visualise properly when you start from zero, but you can't probably understand the scale if you don't start at zero.