the_information_nexus/work/tbx/data_work.md

Certainly! Here's an example of how you can load and explore the data in a Jupyter Notebook using Python and the Pandas library:

```python
import pandas as pd

# Load the data from CSV file
df = pd.read_csv('raw_data.csv')

# Display the first 5 rows of the data
print("First 5 rows:")
display(df.head())

# Display the last 5 rows of the data
print("\nLast 5 rows:")
display(df.tail())

# Get information about the DataFrame
print("\nDataFrame Info:")
display(df.info())

# Get descriptive statistics of the numeric columns
print("\nDescriptive Statistics:")
display(df.describe())

# Check for missing values
print("\nMissing Values:")
display(df.isnull().sum())

# Get the data types of each column
print("\nData Types:")
display(df.dtypes)

# Get the shape of the DataFrame (rows, columns)
print(f"\nDataFrame Shape: {df.shape}")

Output:

First 5 rows:

	P&L Rollup	Sales Channel	Booked Date	Customer PO Number	Order Number	Line End Customer Name	Line Number	Ordered Quantity	Manufacturer	Item Number - Root	Item Number - Child1	Item Number - Child2	Item Number - Child3	Item Number - Child4	Item Number - Child5	Item Description	Product Family	Service Contract Duration	Buyer	Special Pricing Type	Deal ID	Special Pricing Account Number	Material Designator	SO Line Type	Ship From Consigned Org	Order Type	Org Code	Ext. Global Revenue	Ext. Global Cost	CDSD Dist Deviation Price Ext	Request Date	Promise Date	Schedule Ship Date	Schedule Arrival Date	Ship Confirm Date	Actual Shipment Date	Billed Revenue	Cisco GP	Cisco Mulit Yr Adj.	Adj. Cisco GP	Adj. Cisco Deviation Price	Cisco Subsidy	Non-Cisco GP	Total GP	Placeholder	VES Fee	VES Total GP	No Invoice	Cisco	Multi Year	VES	UK Order	Margin	ISO Week #
0	TBX AT&T	AT&T-PPI - Universal CPE-Hayes, Kyle	14-Feb-2024	4334036721	11349009	-	1	2	SILICOM	CPW000066	nan	nan	nan	nan	nan	Cable,Power Cord,AC,Brazil,10A/250V,1.8M,BLK	Other	-	Faerber, Jennifer Leigh	-	nan	-	-	Telco Drop Ship-Invoice	N	Telco Drop Ship	24	5.40	5.40	-	15-Feb-2024	-	-	-	-	-	$ 5.40	$ -	$ -	$ -	$ -	$ -	$ -	$ -	nan	0	0	FALSE	FALSE	FALSE	FALSE	FALSE	0%	7
1	TBX AT&T	ATT Whitebox Distribution - UK	18-Jan-2024	4334035695	11309329	-	1	1	SILICOM	CBL000077	nan	nan	nan	nan	nan	Cable,USB2 to RS-232 Cisco pinout,RJ-45 console	Other	-	Faerber, Jennifer Leigh	-	nan	-	-	WWTUK Drop Ship-Invoice	N	WWTUK Mixed	100	7.62	7.62	-	02-Feb-2024	15-Feb-2024	15-Feb-2024	15-Feb-2024	14-Feb-2024	14-Feb-2024	$ 7.62	$ -	$ -	$ -	$ -	$ -	$ -	$ -	nan	0	0	FALSE	FALSE	FALSE	FALSE	TRUE	0%	3
2	TBX AT&T	ATT Whitebox Distribution - UK	18-Jan-2024	4334035695	11309329	-	2	2	SILICOM	CPW000024	nan	nan	nan	nan	nan	Cable,Power Cord,AC,Italy,10A/250V,1.8M,BLK	Other	-	Faerber, Jennifer Leigh	-	nan	-	-	WWTUK Drop Ship-Invoice	N	WWTUK Mixed	100	5.55	5.55	-	02-Feb-2024	15-Feb-2024	15-Feb-2024	15-Feb-2024	14-Feb-2024	14-Feb-2024	$ 5.55	$ -	$ -	$ -	$ -	$ -	$ -	$ -	nan	0	0	FALSE	FALSE	FALSE	FALSE	TRUE	0%	3
3	TBX AT&T	ATT Whitebox Distribution - UK	18-Jan-2024	4334035695	11309329	-	3	1	SILICOM	KXVE	CPE	MECH	nan	nan	nan	SILICOM KIT- K#VE-CPE-MECH VE-CPE MECHANICAL PAR	Other	-	Faerber, Jennifer Leigh	-	nan	-	-	WWTUK Drop Ship-Invoice	N	WWTUK Mixed	100	15.32	14.40	-	02-Feb-2024	15-Feb-2024	15-Feb-2024	15-Feb-2024	14-Feb-2024	14-Feb-2024	$ 15.32	$ 0.92	$ -	$ 0.92	$ -	$ -	$ 0.92	$ 1.84	nan	0	0	FALSE	FALSE	FALSE	FALSE	TRUE	12%	3
4	TBX AT&T	CDSD - ATT Diversity Plus	02-Jan-2024	PO3000254372	11284576	Department of Justice	1	1	CISCO SYSTEMS (CISCOPRO)	C8500	12X	nan	nan	nan	nan	Cisco Catalyst 8500-12X Edge Platform	Catalyst Family	-	Berry, Gregory M. (Greg)	DEAL	75430194	75430194	-	Telco Drop Ship-Invoice	N	Telco Drop Ship	24	47,159.49	46,134.29	46,134.29	02-Jan-2024	01-Feb-2024	01-Feb-2024	01-Feb-2024	24-Jan-2024	27-Jan-2024	$ 47,159.49	$ 1,025.20	$ -	$ 1,025.20	$ 46,134.29	$ 830.42	$ -	$ 1,855.62	nan	0	0	FALSE	TRUE	FALSE	FALSE	FALSE	4%	1

Last 5 rows:

	P&L Rollup	Sales Channel	Booked Date	Customer PO Number	Order Number	Line End Customer Name	Line Number	Ordered Quantity	Manufacturer	Item Number - Root	Item Number - Child1	Item Number - Child2	Item Number - Child3	Item Number - Child4	Item Number - Child5	Item Description	Product Family	Service Contract Duration	Buyer	Special Pricing Type	Deal ID	Special Pricing Account Number	Material Designator	SO Line Type	Ship From Consigned Org	Order Type	Org Code	Ext. Global Revenue	Ext. Global Cost	CDSD Dist Deviation Price Ext	Request Date	Promise Date	Schedule Ship Date	Schedule Arrival Date	Ship Confirm Date	Actual Shipment Date	Billed Revenue	Cisco GP	Cisco Mulit Yr Adj.	Adj. Cisco GP	Adj. Cisco Deviation Price	Cisco Subsidy	Non-Cisco GP	Total GP	Placeholder	VES Fee	VES Total GP	No Invoice	Cisco	Multi Year	VES	UK Order	Margin	ISO Week #
9	TBX AT&T	CDSD - ATT Diversity Plus	02-Jan-2024	PO3000254372	11284576	Department of Justice	10	1	CISCO SYSTEMS (CISCOPRO)	GLC	SX	MMD	nan	nan	nan	1000BASE-SX SFP transceiver module, MMF, 850nm, DOM	SFP Family	-	Berry, Gregory M. (Greg)	DEAL	75430194	75430194	-	Telco Drop Ship-Invoice	N	Telco Drop Ship	24	281.81	275.68	275.68	02-Jan-2024	01-Feb-2024	01-Feb-2024	01-Feb-2024	24-Jan-2024	27-Jan-2024	$ 281.81	$ 6.13	$ -	$ 6.13	$ 275.68	$ 4.96	$ -	$ 11.09	nan	0	0	FALSE	TRUE	FALSE	FALSE	FALSE	4%	1
10	TBX AT&T	CDSD - ATT Diversity Plus	02-Jan-2024	PO3000254372	11284576	Department of Justice	11	1	CISCO SYSTEMS (CISCOPRO)	IOSXE	AUTO	MODE	nan	nan	nan	IOS XE Autonomous boot up mode for Unified image	Other	-	Berry, Gregory M. (Greg)	DEAL	75430194	75430194	-	Telco Drop Ship-No Invoice	N	Telco Drop Ship	24	0.00	0.00	0.00	02-Jan-2024	01-Feb-2024	01-Feb-2024	01-Feb-2024	28-Jan-2024	28-Jan-2024	$ -	$ -	$ -	$ -	$ -	$ -	$ -	$ -	nan	0	0	TRUE	TRUE	FALSE	FALSE	FALSE	0%	1
11	TBX AT&T	CDSD - ATT Diversity Plus	02-Jan-2024	PO3000254372	11284576	Department of Justice	12	2	CISCO SYSTEMS (CISCOPRO)	PWR	CH1	750WACR	nan	nan	nan	Cisco C8500 750W AC Power Supply	Power Supply	-	Berry, Gregory M. (Greg)	DEAL	75430194	75430194	-	Telco Drop Ship-No Invoice	N	Telco Drop Ship	24	0.00	0.00	0.00	02-Jan-2024	01-Feb-2024	01-Feb-2024	01-Feb-2024	28-Jan-2024	28-Jan-2024	$ -	$ -	$ -	$ -	$ -	$ -	$ -	$ -	nan	0	0	TRUE	TRUE	FALSE	FALSE	FALSE	0%	1
12	TBX AT&T	CDSD - ATT Diversity Plus	02-Jan-2024	PO3000254372	11284576	Department of Justice	13	2	CISCO SYSTEMS (CISCOPRO)	CAB	AC	nan	nan	nan	nan	AC Power Cord (North America), C13, NEMA 5-15P, 2.1m	Other	-	Berry, Gregory M. (Greg)	DEAL	75430194	75430194	-	Telco Drop Ship-No Invoice	N	Telco Drop Ship	24	0.00	0.

---

Using Jupyter Notebook for this analysis is a great idea! Jupyter Notebook provides an interactive environment where you can combine code, visualizations, and explanatory text in a single document. This makes it easy to create a narrative flow for your analysis and share the results with others.

Here's how you can structure your Jupyter Notebook for a more scroll-through analysis:

1. Introduction
- Provide an overview of the dataset and the goals of the analysis
- Describe the data source and any relevant background information

2. Data Loading and Exploration
- Load the CSV file into a Pandas DataFrame
- Explore the data using functions like `head()`, `tail()`, `info()`, `describe()`
- Provide commentary on the structure and quality of the data

3. Data Cleaning and Preprocessing
- Handle missing values and data type conversions
- Create new calculated columns as needed
- Describe the steps taken to clean and preprocess the data

4. Sales Performance Analysis
- Group data by relevant dimensions and time periods
- Calculate and display key sales metrics 
- Use visualizations to highlight trends and patterns
- Provide insights and commentary on the findings

5. Profitability Analysis
- Calculate and display profitability metrics by segment
- Use visualizations to compare profitability across categories
- Provide insights and commentary on the findings

6. Customer Analysis
- Group data by customer and calculate key metrics
- Identify top customers and analyze their characteristics
- Use visualizations to highlight customer trends and patterns
- Provide insights and commentary on the findings

7. Insights and Recommendations
- Summarize the key takeaways from the analysis
- Provide data-driven recommendations for improvement
- Prioritize actions based on potential impact

8. Next Steps
- Discuss potential future analyses or data collection efforts
- Provide guidance on how to operationalize the insights

Throughout the notebook, use a combination of code cells for data manipulation and analysis, and markdown cells for commentary, insights, and recommendations. Use visualizations wherever possible to make the findings more engaging and easier to understand.

Here's an example of how the notebook might flow:

![Jupyter Notebook Example](https://i.imgur.com/aTWiXLG.png)

To create charts and graphs in Jupyter Notebook, you can use the `%matplotlib inline` magic command to display plots directly in the notebook. For example:

```python
import pandas as pd
import matplotlib.pyplot as plt

%matplotlib inline

# Load data
df = pd.read_csv('raw_data.csv')

# Analyze sales by month
sales_by_month = df.groupby(pd.Grouper(key='Date', freq='M'))['Revenue'].sum().reset_index()

# Create line chart
plt.figure(figsize=(10,6))
plt.plot(sales_by_month['Date'], sales_by_month['Revenue'])
plt.title('Sales Revenue by Month')
plt.xlabel('Month')
plt.ylabel('Revenue ($)')
plt.show()

This will create a line chart of sales revenue by month directly in the Jupyter Notebook.

By combining code, visualizations, and commentary in a logical flow, you can create a compelling and informative analysis that's easy for others to follow and understand.

Let me know if you have any other questions as you create your Jupyter Notebook!