Hi all,
First time poster here. I have an assortment of csv files that contain some meter data that I wish to do geoprocessing and display in GIS. The data is formatted in a difficult manner, so I wanted to develop a python code to extract the data into a geodatabase of some sort. I can expect a new csv to be added each month. Is there a best practice when organizing a geodatabase like this?
I have ~190 "points" which are meters at various buildings which report every hour. The calculation I need to do on these points consists of 3 points for each building at any given time point (meaning every time point has ~65 buildings' worth of data). Can I put this all into one geodatabase and query off of that? Do I need to break buildings out or meters into different datasets for querying?
Some examples of queries that might be needed are:
- Behavior of all buildings between x and y date
- Behavior of a particular building on some date
- after time period x - y did some building behave differently
Thanks in advance for your help!
First time poster here. I have an assortment of csv files that contain some meter data that I wish to do geoprocessing and display in GIS. The data is formatted in a difficult manner, so I wanted to develop a python code to extract the data into a geodatabase of some sort. I can expect a new csv to be added each month. Is there a best practice when organizing a geodatabase like this?
I have ~190 "points" which are meters at various buildings which report every hour. The calculation I need to do on these points consists of 3 points for each building at any given time point (meaning every time point has ~65 buildings' worth of data). Can I put this all into one geodatabase and query off of that? Do I need to break buildings out or meters into different datasets for querying?
Some examples of queries that might be needed are:
- Behavior of all buildings between x and y date
- Behavior of a particular building on some date
- after time period x - y did some building behave differently
Thanks in advance for your help!