Check out the programming language Python.... Its very versatile, easy to learn, but extremely powerful... Its popularity means theres tons of support and resources, also there these things called librariess, they are collections of packages, with prewritten modules to accomplish common tasks... Because of the languages popularity there are tons of useful collections available... Data scientists use python to infer patterns, trends and visualize, calculate data, make pretty charts and graphs, and overall just make it easier to sift through data for new insights...
In a growing situation there are already tons of packages available to handle weather forecasting, greenhouse data logging, and python is so versatile its able to connect to tons of different systems and is very good at automating things for this reason also. You can write or just run simple programs that can import all that excel data, or directly from your sensors, and present it to you in different types of graphs, The point of this would be to make it easier to see changes in your data.... If you're looking at an excel chart, you may not notice a certain columns numbers rising, or spike on a couple rows and go back to normal... If that data is automatically plotted on a line/bar graph and matched with time, temp, RH, light timer/fan/etc. then you can see very easily.... Hey there was a spike every night around 7:23 pm wtf is going on here... and come to find out something happened like a mechanical timer was accidentally shut off for a 30 minute interval, and you would never know this because it spikes for such a short time... Theres millions of things you can do with that data, pattern and trend identification is just one... you can set up alerts for rising temps, you can set up automatic execution scripts using IFTTT (If this then that) logic... e.g. If temp rises 5°, shut off Co2, turn exhaust/intake fan on 5min and text my cell the current temp with a spike alert message.... You get the idea... Its very interesting and fun once you get into it, and you can tailor your systems, python is a great first language to learn IMO because you can do all these cool automations, as I said there are tons of resources, and when writing it its just more natural to read than a C++ or something with a very awkward syntax... Also because you can implement these small but powerful changes very quickly and easily... you get a quicker sense of reward than something struggling and trudging through programming in C or something and having to do a million things just to see a small change in a program... and if you cant see the value in any of those small changes, or its too confusing, then you wont have the motivation to learn, or the ability to retain the information if you do get any sense of joy or power out of it... Python is definitely better for first timers, but like I said still extremely powerful especially for data science.
Here are just some weather charts you can get an idea of seeing what line charts could do for a High and Low Temp/RH% for the last 15min/hour/day...check out if there any significant swings (remember when growing marijuana it is the swing of temp/humidity that causes the issues more so than the amount as in high/low humidity... So finding spikes in temp/rh is extremely important for marijuana)
