Hello! My name is Ishaan Jain, a Information Technology undergrad at Manipal University Jaipur. I will be working on developing an information theoretic approach to filter out artificial information and real information in geospatial datasets for Xbitinfo during Google Summer of Code 2023.

What did I do this week?

This week, I examined various variables of CONUS dataset to determine if any artificial information was present, and if so, whether there is some reemerging information for trailing mantissa bits or the information is never dropping to zero.

What is coming up next?

Will test the function which I have created to monitor artificial information using keepbits as check variable.

Hello! My name is Ishaan Jain, a Information Technology undergrad at Manipal University Jaipur. I will be working on developing an information theoretic approach to filter out artificial information and real information in geospatial datasets for Xbitinfo during Google Summer of Code 2023.

What did I do this week?
This week, I dedicated my efforts to improving the efficiency of the function I developed, which automates the workflow of encoding, decoding, and comparing specific variables of the CONUS404 dataset. The primary goal was to optimize the function for better performance and effectiveness. To enhance efficiency, I carefully analyzed the code and identified areas where improvements could be made. I focused on streamlining the encoding and decoding processes.

What is coming up next?
Will try categorizing factors leading to artificial information popping up and try to come up with a solution to tackle it.

Hello! My name is Ishaan Jain, a Information Technology undergrad at Manipal University Jaipur. I will be working on developing an information theoretic approach to filter out artificial information and real information in geospatial datasets for Xbitinfo during Google Summer of Code 2023.
What did I do this week?
This week, I focused on developing a function that automates a workflow for encoding, decoding, and comparing specific variables of the CONUS404 dataset. The primary objective of this function was to analyze and understand the presence of artificial information within the dataset.
To achieve this, I created a streamlined process that involved encoding the selected variables of the CONUS404 dataset, followed by decoding them. By comparing the resulting plots of the bitinformation from the original dataset, encoded dataset, and decoded dataset, I gained insights into the nature and origins of artificial information. 
Overall, this week's accomplishments involved creating a function that automates the workflow of encoding, decoding, and comparing specific variables of the CONUS404 dataset. This function has proven to be a valuable tool in identifying and examining artificial information, leading to a deeper understanding of its origins and effects.
What is coming up next?
Will try categorizing factors leading to artificial information popping up and try to come up with a solution to tackle it.

Hello! My name is Ishaan Jain, a Information Technology undergrad at Manipal University Jaipur. I will be working on developing an information theoretic approach to filter out artificial information and real information in geospatial datasets for Xbitnfo during Google Summer of Code 2023.

What did I do this week?
During this week, I focused on investigating the presence of artificial information within datasets, specifically using the CONUS404 dataset. To accomplish this, I followed a multi-step process. Firstly, I encoded the CONUS404 dataset using linear quantisation encoding technique. By applying encoding, I aimed to explore whether artificial information existed within the dataset and, if so, to gain insights into its nature and origin.
The CONUS404 dataset comprised various variables, including RAINCVMAX, PREP_ACC_NC, SNOWENERGY, COSALPHA ,LANDMASK etc. These variables offered a diverse range of hydro-climate and meteorological data, making them ideal for analysis and investigation.
Next, I proceeded to decode the encoded datasets to retrieve the original data. This step allowed me to compare the bitinformation (or information content) of the resultant datasets with that of the original datasets. By examining any differences or discrepancies, I sought to observe the potential impact of encoding on the information content of the dataset and identify any artificial information introduced in the process.

What is coming up next?
In the upcoming week, my plan is to try to come up with some ideas on how to tackle this issue of artificial information popping up in bitinformation analysis.

Did I get stuck somewhere?
I was stuck while plotting subplots of bitinformation of various variables using matplotlib and could not find a good way to get many bitinformation analysis figures in one plot.

Hello! My name is Ishaan Jain, a Information Technology undergrad at Manipal University Jaipur. I will be working on developing an information theoretic approach to filter out artificial information and real information in geospatial datasets for Xbitnfo during Google Summer of Code 2023.

What did I do this week?

During this week, I successfully completed writing tests for PR#188 and focused on enhancing the functionality of the code by trying to add both keepbits and inflevels to the add_bitinfo labels function. Furthermore, I dedicated time in understanding few possibilties to identify artificial information in datasets. Started working on CONUS dataset to try to identify the how the artificial information is getting induced.
Overall, this week was marked by the completion of tests for PR#188, as well as the exploration of methods to detect artificial information in datasets. By actively working on the CONUS dataset, I am making progress towards uncovering the influences and effects of artificial information.

What is coming up next?
In the upcoming week, my plan is to observe and understand the development of artificial information using CONUS dataset and try to come up with some ideas on how to tackle this issue of artificial information popping up in bitinformation analysis.