PYTHON - Mindstorm

DATA ANALYSIS September 29, 2023

Sales Analysis with Python and Excel

Use ‘Sheet1’ (data) in excel file: sales_jan_feb_mar_2021_d.xlsx and do the following: 1) Read all columns of the excel file: sales_jan_feb_mar_2021_d.xlsx – 9 columns 2) Read specific columns of the excel file (Month, Actual_Sales, Customer, Salesperson): sales_jan_feb_mar_2021_d.xlsx – 4 columns 3) Create new excel file: Actual_Sales Mean by Salesperson.xlsx 4) Create new excel file: Actual_Sales Mean by Customer.xlsx 5) Create new excel file: Actual_Sales Mean by Month.xlsx 6) Create new tab: ActSalesMean by Salesperson in existing excel file: sales_jan_feb_mar_2021_d.xlsx and find actual sales mean by salesperson 7) Create new tab: ActSalesMean by Customer in existing excel file: sales_jan_feb_mar_2021_d.xlsx and find actual sales mean by customer 8) Create new tab: ActSalesMean by Month in existing excel file: sales_jan_feb_mar_2021_d.xlsx and find actual sales mean by month 9) Plot Actual_Sales Mean for 3, 4 and 5 10) Change styling of columns (font, alignment) for tabs: ‘ActSalesMean by Salesperson’, ‘ActSalesMean by Customer’, ‘ActSalesMean by Month’…

DATA ANALYSIS August 14, 2023

Use of chatGPT and YouTube to become a Data Analyst

Use of chatGPT and YouTube to become a Data Analyst – Χρήση του chatGPT και του YouTube για να κάνει κάποιος ανάλυση δεδομένων Code file: app.py Folder: C:\PythonPrograms\data_analysis_with_chatGPT 1) Merge multiple excel files – Συγχώνευση πολλών αρχείων excel data1.xlsx data2.xlsx data3.xlsx data4.xlsx 2) Clean data – Καθαρισμός δεδομένων 3) Create two excel reports (Total Revenue, Expenses and Profit by Category) and (Total Revenue, Expenses and Profit by Country) – Δημιουργία δύο αρχείων excel (category_report.xlsx and country_report.xlsx) 4) Add a chart to category_report.xlsx – Προσθήκη γραφήματος στο αρχείο excel category_report.xlsx 5) Add a chart to country_report.xlsx – Προσθήκη γραφήματος στο αρχείο excel country_report.xlsx 6) Build two interactive plots (category_chart.html and country_chart.html) 7) Create a streamlit dashboard with 2 graphs – Δημιουργία ενός πίνακα προβολής και διαχείρισης streamlit με 2 γραφήματα με τη βοήθεια της γλώσσας Python – with Python. Changed code by Trifonas Papadopoulos: #Code starts…

PYTHON August 6, 2023

Python and Excel

Scenario for using Python and Excel Request 1 Take the following 3 excel files: sales_jan_2022.xlsx sales_feb_2022.xlsx sales_mar_2022.xlsx and create a new excel: sales.xlsx and a new csv file: sales.csv with all the records from these 3 excel files. Request 2 Take the following 3 excel files: sales_jan_2022.xlsx sales_feb_2022.xlsx sales_mar_2022.xlsx and create a new excel: total_sales.xlsx and a new csv file: total_sales.csv with total of Actual_Quantity for each month. Request 3 Take the following 3 excel files: sales_jan_2022.xlsx sales_feb_2022.xlsx sales_mar_2022.xlsx and create a new excel: total_sales_by_salesperson.xlsx and a new csv file: total_sales_by_salesperson.csv with total of Actual_Sales per month for each salesperson. Request 1, 2 and 3 are completed with python script: main.py. See it in action . . . (watch the video below) Request 4 Take the following excel files: sales.xlsx total_sales_by_salesperson.xlsx and change the styling so it is easier to read them. Request 4 is…

ALL July 3, 2023

How to Create an Excel Data Entry Form in 10 Minutes Using Python (No VBA) | Easy & Simple

Did you know you can use Python code to create an Excel Data Entry Form and avoid duplicate records? Πως να δημιουργήσετε μια φόρμα εισαγωγής δεδομένων σε 10 λεπτά με τη γλώσσα προγραμματισμού PYTHON (No VBA) Πως να διασφαλίσετε ότι δεν θα κάνετε διπλοεγγραφές Excel fields : Name, City, Favorite Color, German, Spanish, English, Children Excel before data entry Data entry form Excel after data entry ‘Python code starts here. import PySimpleGUI as sg import pandas as pd # Add some color to the window sg.theme(‘DarkTeal9’) EXCEL_FILE = ‘data_entry.xlsx’ df = pd.read_excel(EXCEL_FILE) layout = [ [sg.Text(‘Please fill out the following fields:’)], [sg.Text(‘Name’, size=(15,1)), sg.InputText(key=’Name’)], [sg.Text(‘City’, size=(15,1)), sg.InputText(key=’City’)], [sg.Text(‘Favorite Color’, size=(15,1)), sg.Combo([‘Green’, ‘Blue’, ‘Red’], key=’Favorite Color’)], [sg.Text(‘I speak’, size=(15,1)), sg.Checkbox(‘German’, key=’German’), sg.Checkbox(‘Spanish’, key=’Spanish’), sg.Checkbox(‘English’, key=’English’)], [sg.Text(‘No. of Children’, size=(15,1)), sg.Spin([i for i in range(0,16)], initial_value=0, key=’Children’)], [sg.Submit(), sg.Button(‘Clear’), sg.Exit()] ] window = sg.Window(‘Simple data entry form’, layout) def clear_input(): for key…

ALL October 4, 2022

How to select rows and columns in pandas (Python)

Πως να επιλέγετε γραμμές και στήλες με τη βιβλιοθήκη pandas της γλώσσας προγραμματισμού Python See below the data and the code for the result shown on image . . . How to select rows and columns in pandas # Credit : Trifonas Papadopoulos, Oct 4th, 2022, Version 2.0 # start of code —————————————————————————————– import pandas as pd import numpy as np # data data = [[‘A0001′,”,”,”,0,’variable’,0,0], [‘A0001′,’WHITE’,’S’,’Small’,1,’variation’,0,0], [‘A0001′,’WHITE’,’M’,’Medium’,2,’variation’,0,0], [‘A0001′,’WHITE’,’L’,’Large’,3,’variation’,0,0], [‘A0001′,’WHITE’,’XL’,’Extra Large’,4,’variation’,0,0], [‘A0001′,’BLACK’,’L’,’Large’,5,’variation’,0,0], [‘A0003′,”,”,”,6,’variable’,0,0], [‘A0003′,’BLACK’,’XL’,’Extra Large’,7,’variation’,0,0], [‘A0002′,”,”,”,8,’variable’,0,0], [‘A0002′,’BLACK’,’L’,’Large’,9,’variation’,0,0], [‘A0002′,’BLACK’,’XL’,’Extra Large’,10,’variation’,0,0], [‘A0004′,”,”,”,12,’variable’,0,0], [‘A0004′,’WHITE’,’S’,’Small’,12,’variation’,0,0], [‘A0004′,’RED’,’S’,’Small’,13,’variation’,0,0], [‘A0004′,’RED’,’M’,’Medium’,14,’variation’,0,0], [‘A0001′,’WHITE’,’XXL’,’2 Extra Large’,15,’variation’,0,0], ] # print list of columns print(‘–list of columns———————————————————–‘) cols = list(df.columns.values) print(cols) # dataframe with defined column names df = pd.DataFrame(data, columns=[‘parent’, ‘color’, ‘size’, ‘size_desc’, ‘order’, ‘type’, ‘quantity’,’price’]) print(”) print(‘–dataframe with defined column names—————————————‘) print(df) # end of code —————————————————————————————– If you want to see more ways to select rows and columns in pandas (Python), read my code (Version…

ALL September 23, 2022

Comparison of data values between two excel files and creation of a new excel and csv file with PYTHON

Let’s assume that you have 2 excel files : product_data_excel.xlsx (99 rows x 5 columns, A2: E100) product_data_excel_2.xlsx (107 rows x 5 columns, A2:E108) The 5 columns of the two excel files are : product_id, product_description, quantity, regular_price and category.product_data_excel.xlsx You have changed quantity and price values for existing product_ids : “A0001” and “A0003” (column : “product_id”) and you have added 8 new products in excel file : product_data_excel_2.xlsx. product_data_excel_2.xlsx Now you want to compare product_data_excel.xlsx and product_data_excel_2.xlsx and create a new excel file : product_data_excel_changed_and_new_records.xlsx and csv file : product_data_excel_changed_and_new_data.csv with the 2 existing products you have changed and the 8 new ones you have added. product_data_excel_changed_and_new_records.xlsx Download product_data_excel.xlsx, product_data_excel_2.xlsx, product_data_excel_changed_and_new_records.xlsx, product_data_excel_changed_and_new_records.csv Click comparing_data_values_between_2_excel_files to see the code (html format) . . .

ALL September 17, 2022

Join, merge multiple CSV files to one CSV or EXCEL file, renaming headers and styling multiple EXCEL files with PYTHON

Let’s assume that you got three csv files from the sales department : “_sales_january_2021_d.csv” “_sales_feb_2021_d.csv”“_sales_mar_2021_d.csv” and you want : to join them in one new csv file : “sales_jan_feb_mar_2021_d.csv” to find actual sales sum per month, actual sales sum (quantity) per month and actual sales mean per month to save actual sales by person per month in csv file : “sales_by_person.csv”and in excel file : “sales_by_person.xlsx” to save “sales_by person.csv” as “sales_by_person_modified.csv” with different english headers to save “sales_by person.csv” as “sales_by_person_modified_gr.csv” with different greek headers to find actual sales sum, actual sales mean and actual sales total for salesperson : “Trifon Papadopoulos” to create a graph(bar) for Actual Sales total per Salesperson to create a graph(bar) for Actual Sales total per Month_ref to join “sales_jan_feb_mar_2021_d.csv” with “sales_january_2021_d_products_orders.csv” and save the output to excel file : “output1.xlsx” to improve styling of excel files : “sales_jan_feb_mar_2021_d.xlsx” and “output1.xlsx” Results of…

ALL September 7, 2022

Data Analysis and Visualization with Python – Example 5

Comparison of Budget and Actual Sales / Jan 21 – Jun 21 Results 1) Budget Sales VS Actual Sales – Graph (line) 2) Budget Sales sum 3) Actual Sales sum 4) Difference between Budget Sales sum and Actual Sales sum – Euro 5) Actual Sales sum is X % of Budget Sales sum 6) Creation of new data source file (format : csv) with 2 new columns 7) Budget Sales VS Actual Sales – Graph (bar) Photo 1 8) Budget Sales VS Actual Sales – Graph (line), selection of certain columns to plot and different graph dimensions (photo 1) 9) Budget Sales mean (photo 1) 10) Actual Sales mean (photo 1) Click the html file data_visualization_with_python_5 to view the project . . . Data source file : sample_data_sales.csv Columns in data source file : month, budget_sales, actual_sales New data source file : sample_data_sales_with_difference.csv New columns calculated and added with…

ALL April 11, 2022

Plotting charts in excel with python

Αυτόματη εισαγωγή δεδομένων πίνακα δεδομένων και τριών γραφημάτων σε αρχείο excel και αποθήκευση αυτού σε προκαθορισμένο φάκελο με χρήση γλώσσας προγραμματισμού python. Μπορούμε να αναλύσουμε και να μετατρέψουμε σε γραφήματα, οποιοδήποτε πίνακα δεδομένων. Το μόνο που πρέπει να κάνετε εσείς, είναι να τρέξετε το πρόγραμμα που θα σας δώσουμε και το αρχείο θα δημιουργηθεί στον προκαθορισμένο φάκελο. Products 1 to 6 Comparison of Sales (Units) for year 2020 and 2021 Products, Sales Score 2020, Sales Score 2021 Product 1, 90, 45 Product 2, 78, 39 Product 3, 60, 30 Product 4, 80, 40 Product 5, 60, 30 Product 6, 90, 60 FB Tags : #softexperia #analysis #graphs #python / fb : Softexperia.com / www.softexperia.com