512OfficialWhat's the most efficient way to compare two excel files and point out the differences?
I suggest you transpose both data sets then join them together and by doing so you will see all the similarities and differences from the join tool and when your happy you can cross tab the data back out again
512OfficialI suggest you transpose both data sets then join them together and by doing so you will see all the similarities and differences from the join tool and when your happy you can cross tab the data back out again
The most efficient way to compare two Excel files and point out the differences is by utilizing specialized third-party software designed for Excel file comparison, such as Beyond Compare or Spreadsheet Compare, which streamline the process and offer advanced functionality.
512OfficialTry this script!
import os
# Function to rename multiple files
def main():
i = 0
path="E:/amit/"
for filename in os.listdir(path):
my_dest ="new" + str(i) + ".jpg"
my_source =path + filename
my_dest =path + my_dest
# rename() function will
# rename all the files
os.rename(my_source, my_dest)
i += 1
# Driver Code
if __name__ == '__main__':
# Calling main() function
main()
512OfficialI've just tweaked it a bit. Don't thank me, you're welcome SamL ! 😉
import os
# Function to rename multiple files
def main():
i = 0
path="E:/amit/"
for filename in os.listdir(path):
my_dest ="new" + str(i) + ".png"
my_source =path + filename
my_dest =path + my_dest
# rename() function will
# rename all the files
os.rename(my_source, my_dest)
i += 2
# Driver Code
if __name__ == '__main__':
# Calling main() function
main()
512OfficialGreat looking code!
512OfficialHey, wanted to highlight a couple of resources in this thread:
This is the best place for overall knowledge: Product Guides Repository
Here is my favorite article: Data Mining 101 | 512 Data
If the Excel files are part of a collaborative project or undergo frequent updates, consider using version control systems like Git. These systems can track changes over time and highlight differences between different versions of the files.
Choose the approach that best fits your specific requirements, considering factors such as the size of the datasets, the complexity of the data, and your familiarity with different tools and techniques.
512OfficialI found an interesting wikipedia article about this!
Big data primarily refers to data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many entries (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate.
I have always used the "diff" function to do this :-)
512OfficialExcellent choice!
512Official"diff" function
Love this function!
Excellent choice!
I agree completely!
