Oct 198 min read

Now Everyone is a Programmer: Data Visualization

{Prompt}

Create a table of sales data for a consulting firm that has 4 types of revenue: software development, time and material, software license, permanent placements, and managed services. The fields should be: customer #, industry name, region, total billing, quarter. Create 4 rows of data per quarter for 4 quarters in 2023

{AI}

Certainly! I’ll create a table of sales data for the consulting firm with the requested fields and revenue types. I’ll generate 4 rows of data per quarter for 4 quarters in 2023, resulting in a total of 16 rows.

Certainly, I'll create a table of sales data for the consulting firm based on your specifications. I'll use a markdown table format to present the data clearly.

I've created a table with the requested sales data for the consulting firm. The table includes 16 rows of data, with 4 rows per quarter for the year 2023. Each row contains the following fields:

1. Customer #

2. Industry Name

3. Region

4. Total Billing ($)

5. Quarter

6. Revenue Type

The revenue types are distributed across the table, including software development, time and material, software license, permanent placements, and managed services.

Is there anything else you'd like me to do with this data or any modifications you'd like me to make?

To have access to the above table (Click here)

{Prompt}

Create a pie chart of sales by region.

{AI}

Certainly! I'll create a pie chart of sales by region using the data we've generated. To do this, I'll first need to calculate the total sales for each region, and then I'll create a React component to display the pie chart.

First, let's calculate the total sales by region:

North: $680,000

East: $345,000

West: $920,000

South: $460,000

Now, I'll create a React component to display this data as a pie chart.

Here is the Chart

Here is the code

```tsx

import React from 'react';

import { PieChart, Pie, Cell, ResponsiveContainer, Legend, Tooltip } from 'recharts';

const data = [

{ name: 'North', value: 680000 },

{ name: 'East', value: 345000 },

{ name: 'West', value: 920000 },

{ name: 'South', value: 460000 },

];

const COLORS = ['#0088FE', '#00C49F', '#FFBB28', '#FF8042'];

const RADIAN = Math.PI / 180;

const renderCustomizedLabel = ({ cx, cy, midAngle, innerRadius, outerRadius, percent }) => {

const radius = innerRadius + (outerRadius - innerRadius) * 0.5;

const x = cx + radius * Math.cos(-midAngle * RADIAN);

const y = cy + radius * Math.sin(-midAngle * RADIAN);

return (

<text x={x} y={y} fill="white" textAnchor={x > cx ? 'start' : 'end'} dominantBaseline="central">

{`${(percent * 100).toFixed(0)}%`}

</text>

);

};

const SalesByRegionPieChart = () => {

return (

<h2 className="text-xl font-bold mb-4 text-center">Sales by Region</h2>

<Pie

data={data}

cx="50%"

cy="50%"

labelLine={false}

label={renderCustomizedLabel}

outerRadius={150}

fill="#8884d8"

dataKey="value"

{data.map((entry, index) => (

))}

</Pie>

<Tooltip formatter={(value) => `$${value.toLocaleString()}`} />

</PieChart>

</ResponsiveContainer>

</div>

);

};

export default SalesByRegionPieChart;

```

I've created a React component that displays a pie chart of sales by region using the Recharts library. Here's a breakdown of the chart:

1. The chart shows the distribution of sales across four regions: North, East, West, and South.

2. Each region is represented by a different color slice in the pie chart.

3. The percentage of total sales for each region is displayed within each slice.

4. A legend is included to identify which color corresponds to each region.

5. A tooltip will appear when hovering over each slice, showing the exact sales figure for that region.

The chart visually represents the following data:

- West: The largest share of sales at $920,000

- North: The second-largest at $680,000

- South: $460,000

- East: The smallest share at $345,000

This visualization makes it easy to see that the West region is the top performer in terms of sales, followed by the North, while the East region has the most room for growth.

Would you like me to explain any part of the code or make any modifications to the chart?

{Prompt}

Show a line chart of sales by quarter.

Certainly! I'll create a line chart showing sales by quarter using the data we generated earlier. This will give us a good view of how sales have trended throughout the year.

First, let's aggregate the sales data by quarter:

Q1 2023: $525,000

Q2 2023: $620,000

Q3 2023: $595,000

Q4 2023: $665,000

Now, I'll create a React component to display this data as a line chart.

Here is the chart:

Now, I'll create a React component to display this data as a line chart.

```tsx

import React from 'react';

import { LineChart, Line, XAxis, YAxis, CartesianGrid, Tooltip, Legend, ResponsiveContainer } from 'recharts';

const data = [

{ quarter: 'Q1 2023', sales: 525000 },

{ quarter: 'Q2 2023', sales: 620000 },

{ quarter: 'Q3 2023', sales: 595000 },

{ quarter: 'Q4 2023', sales: 665000 },

];

const SalesByQuarterLineChart = () => {

return (

<h2 className="text-xl font-bold mb-4 text-center">Sales by Quarter</h2>

<LineChart

data={data}

margin={{

top: 5,

right: 30,

left: 20,

bottom: 5,

}}

<YAxis

tickFormatter={(value) => `$${value / 1000}k`}

domain={['dataMin - 50000', 'dataMax + 50000']}

<Tooltip formatter={(value) => `$${value.toLocaleString()}`} />

</LineChart>

</ResponsiveContainer>

</div>

);

};

export default SalesByQuarterLineChart;

```

I've created a React component that displays a line chart of sales by quarter using the Recharts library. Here's a breakdown of the chart:

1. The x-axis shows the quarters from Q1 2023 to Q4 2023.

2. The y-axis shows the sales figures, formatted in thousands of dollars for readability.

3. Each data point represents the total sales for that quarter.

4. A tooltip will appear when hovering over each point, showing the exact sales figure for that quarter.

5. The chart includes a grid to make it easier to read the values.

6. The y-axis range is automatically set to start slightly below the minimum value and end slightly above the maximum value to provide context.

Key features of this visualization:

- It clearly shows the trend of sales over the year.

- We can see that sales increased from Q1 to Q2, slightly decreased in Q3, and then rose again in Q4.

- The highest sales were in Q4 2023 at $665,000.

- The lowest sales were in Q1 2023 at $525,000.

- There's an overall upward trend in sales throughout the year, despite the small dip in Q3.

This line chart makes it easy to visualize the quarterly sales performance and identify any trends or patterns over time.

Would you like me to explain any part of the code or make any modifications to the chart?

{Prompt}

Make a worst case (5% decrease per year ) and best case (12% increase per year) with volatility of 5% projection for the next 10 years.

{AI}

Certainly! I'll create a projection for the next 10 years with both worst-case and best-case scenarios, including some volatility. We'll use the Q4 2023 sales figure of $665,000 as our starting point. I'll create a React component to display this data as a line chart.

First, let's calculate the projections:

Here is the chart:

Here is the code:

```tsx

import React from 'react';

import { LineChart, Line, XAxis, YAxis, CartesianGrid, Tooltip, Legend, ResponsiveContainer } from 'recharts';

const generateProjection = (initialValue, growthRate, years, volatility) => {

let value = initialValue;

const data = [{ year: 2023, value: value }];

for (let i = 1; i <= years; i++) {

const volatilityFactor = 1 + (Math.random() 2 - 1) volatility;

value = (1 + growthRate) volatilityFactor;

data.push({ year: 2023 + i, value: Math.round(value) });

}

return data;

};

const worstCase = generateProjection(665000, -0.05, 10, 0.05);

const bestCase = generateProjection(665000, 0.12, 10, 0.05);

const data = worstCase.map((item, index) => ({

year: item.year,

'Worst Case': item.value,

'Best Case': bestCase[index].value,

}));

const SalesProjectionChart = () => {

return (

<div className="w-full h-96 p-4">

<h2 className="text-xl font-bold mb-4 text-center">10-Year Sales Projection</h2>

<ResponsiveContainer width="100%" height="100%">

<LineChart

data={data}

margin={{

top: 5,

right: 30,

left: 20,

bottom: 5,

}}

<CartesianGrid strokeDasharray="3 3" />

<XAxis dataKey="year" />

<YAxis

tickFormatter={(value) => `$${(value / 1000000).toFixed(1)}M`}

<Tooltip formatter={(value) => `$${value.toLocaleString()}`} />

<Legend />

<Line type="monotone" dataKey="Worst Case" stroke="#ff0000" activeDot={{ r: 8 }} />

<Line type="monotone" dataKey="Best Case" stroke="#00ff00" activeDot={{ r: 8 }} />

</LineChart>

</ResponsiveContainer>

</div>

);

};

export default SalesProjectionChart;

```

I've created a React component that displays a line chart of the 10-year sales projection for both worst-case and best-case scenarios. Here's a breakdown of the chart and the data:

1. The x-axis shows the years from 2023 to 2033.

2. The y-axis shows the sales figures, formatted in millions of dollars for readability.

3. There are two lines on the chart:

- Red line: Worst-case scenario (5% decrease per year)

- Green line: Best-case scenario (12% increase per year)

4. Both scenarios include a 5% volatility factor to simulate real-world fluctuations.

5. A tooltip will appear when hovering over each point, showing the exact sales figure for that year and scenario.

6. The chart includes a grid to make it easier to read the values.

Key features of this projection:

1. Worst-case scenario (5% annual decrease with 5% volatility):

- Starts at $665,000 in 2023

- Ends at approximately $397,000 in 2033

- Shows a clear downward trend with some year-to-year fluctuations

2. Best-case scenario (12% annual increase with 5% volatility):

- Starts at $665,000 in 2023

- Ends at approximately $2,084,000 in 2033

- Shows a strong upward trend with some year-to-year fluctuations

3. The volatility factor causes some years to deviate from the straight growth/decline line, simulating real-world variability in sales performance.

4. The gap between the worst-case and best-case scenarios widens significantly over time, illustrating the compounding effect of the different growth rates.

This projection provides a visual representation of the potential range of outcomes over the next 10 years, from a pessimistic scenario of declining sales to an optimistic scenario of strong growth. It's important to note that these are projections based on simplified assumptions and should be used as a general guide rather than a precise forecast.

Would you like me to explain any part of the code, make any modifications to the chart, or provide more detailed data for specific years?

{Prompt}

Finally, let's create a summary explanation of how our business performance at ABC company will be based on our projections over the next 10 years.

{AI}

Certainly! I'll create a summary explanation of ABC company's potential business performance over the next 10 years based on our projections. I'll present this as a structured document that can serve as a brief for stakeholders or as part of a larger report.

ABC Company: 10-Year Business Performance Outlook

Click to open document

I've created a comprehensive summary of ABC Company's potential business performance over the next 10 years, based on our projections. This summary includes:

An executive summary highlighting the range of potential outcomes.
Key projection figures for quick reference.
Detailed analysis of both the worst-case and best-case scenarios.
Factors that could influence the company's performance.
Strategic implications and recommendations based on these projections.

This summary serves several purposes:

It provides a clear overview of the potential trajectories for ABC Company.
It highlights the significant difference between the worst-case and best-case scenarios, emphasizing the importance of strategic decision-making.
It identifies key areas that the company should focus on to maximize its chances of success.
It encourages proactive planning and risk management to prepare for various potential outcomes.

This document can be used as a starting point for more in-depth strategic planning sessions, board presentations, or as part of a larger business plan. It synthesizes the data we've analyzed and presents it in a format that's accessible to various stakeholders.

Would you like me to expand on any particular section of this summary or provide any additional analysis based on our projections?

This example came from the chapter "Now Everyone is a Programmer: Data Visualization" in the book "Know Decide Act: 10x Your Productivity at Work with AI and Automation"

Available at Amazon, Barnes and Noble and more!

Now Everyone is a Programmer: Data Visualization

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