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Analysis of Financial Transactions Trends Over Time

FEC TETRA 310524.txt

Missing file

Are there any trends in the data?

The data has been successfully loaded into a DataFrame. Here are the first few rows:
JournalCodeJournalLibEcritureNumEcritureDateCompteNumCompteLibCompAuxNumCompAuxLibPieceRefPieceDateEcritureLibDebitCreditEcritureLetDateLetValidDateMontantdeviseIdevise
BCFABRED CFABCFA_juil.23_120230710661600Interets bancaires operations finanNaNNaN120230710INTERET 30-06-202318,510,00NaNNaN20240704NaNNaN
BCFABRED CFABCFA_juil.23_120230710512502BRED CFANaNNaN120230710INTERET 30-06-20230,0018,51NaNNaN20240704NaNNaN
BCFABRED CFABCFA_juil.23_220230710411120Clients FPCC10026CONSTRUCTYS_App220230710Virt reçu CONSTRUCTYS0,003908,00ANaN20240704NaNNaN
BCFABRED CFABCFA_juil.23_220230710512502BRED CFANaNNaN220230710Virt reçu CONSTRUCTYS3908,000,00NaNNaN20240704NaNNaN
OD CHEOD CHEVAUCHEMENTOD CHE_juil.23_120230701408100FRS - FACT NON PARVENUESNaNNaN120230701COFODIS20,400,00ANaN20240704NaNNaN
Next, let's analyze the data to identify any trends.
The graph above shows the trends in Debit and Credit over time based on the 'EcritureDate'. Here are some observations:
  • Debit and Credit values fluctuate over time, indicating varying financial activities.
  • Specific dates might show spikes in either Debit or Credit, which could be due to significant transactions or events.
Would you like to dive deeper into any specific aspect of the data or perform another type of analysis?

Are you able to analysis all Revenue accounts ?

It appears that there are no entries in the data that match the common revenue keywords ('Revenue', 'Sales', 'Income', 'Turnover') in the 'CompteLib' column.
Could you provide more specific criteria or account numbers that identify revenue accounts in your dataset? This will help in accurately filtering and analyzing the revenue accounts.

all accounts starting with 70 are sales accounts

The data has been successfully filtered for accounts starting with '70', which are identified as sales accounts. Here are the first few rows of the filtered revenue data:
JournalCodeJournalLibEcritureNumEcritureDateCompteNumCompteLibCompAuxNumCompAuxLibPieceRefPieceDateEcritureLibDebitCreditEcritureLetDateLetValidDateMontantdeviseIdevise
Next, let's analyze the revenue data to identify trends and insights.
It seems that the file FEC TETRA 310524.txt is not found in the current directory. Please ensure that the file is correctly uploaded or provide the correct file path.

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