EN DAN SLAAT HET NOODLOT EVEN TOE…..of hoe ik mijn stem verloor en mijn identiteit

 Het lijkt wel of je te veel gedronken hebt en dubbelpraat, zei Marriet mijn vrouw, twee jaar geleden op een reis door de Pelopponnesos. Ik had bijna niets gedronken en toch...Verder geen aandacht aan geschonken. Maar het kwam terug; eerst met de uitspraak van de L en de R. Toch eens naar de huisarts. Doorgestuurd naar de specialisten- naar neurologie. En dan begint het circus van onderzoeken en testen. De uitslag….Door een neurologische aandoening wordt de doorgifte van de zenuwprikkel vanuit de hersenen naar de spier geblokkeerd. Mijn lippen en tong hebben hun kracht verloren. Spreken gaat moeizaam en eten/drinken is een opgave. Helaas is er geen remedie.

AND THEN FATE STRIKES...or how I lost my voice and identity

It seems as if you have had too much to drink and are double-talking, said Marriet my wife, two years ago on a trip through the Peloponnese. I had hardly drunk anything and yet…I paid no attention to it. But it came back; first with the pronunciation of the L and the R. Still, I went to the doctor. Referred to specialists - to neurology. And then the circus of research and testing begins. The result... Due to a neurological disorder, the transmission of the nerve impulse from the brain to the muscle is blocked. My lips and tongue have lost their strength. Speaking is difficult and eating/drinking is a task. Unfortunately, there is no cure.

And now? Bravely Forward!; however it took some time to take that step. Losing my ability to speak is an attack on my identity. Moreover, this violation of the ability to communicate sometimes creates the feeling of being trapped within yourself. It's not just that I can no longer say something the way I want to, but it's also difficult to make spontaneous, direct contact with others. I have to speak slower, enunciate more clearly and then hope that people understand what I have to say.

Answers from ChatGPT: How can data journalists use google sheets ml app?

 Here are some answers by ChatGPT on the following questions:

How can data journalists use Google sheets ml app?

What is the use of the ml app in google sheets for data journalists?

Can you give an example?

What is the use of ChatGPT for data journalists?

ChatGPT as a tool for data journalist

ChatGPT is becoming a big hit witin a week there are already millions of users. Access is simple; go to https://chat.openai.com/chat and log in for free with  for example a google account and you are in business. A hot topic is trying the most weird assignments.Just do a simple search on Twitter for chatGPT and you interesting examples. Of course there is discussion about the credibility..And of course there is more: fake news, students write essays with chatGPT, or journalist and communicators writing stories. How to improve your writing with chatGPT….

For data journalism chatGPT open news perspectives as well. Here are two examples related to simple data tasks in Calc and R. Chat GPT creates the R code and gives a howto for Calc.

Here is one way to calculate the squares of the first 10 numbers in R:

# Create a vector of the first 10 numbers

numbers <- 1:10

# Calculate the squares of the numbers

squares <- numbers^2

# Print the result

squares

This will output the following vector: 1 4 9 16 25 36 49 64 81 100.

Can you make a bar graph of this output

Certainly! Here is one way to create a bar graph of the squares of the first 10 numbers in R using the ggplot2 package:

# Load the ggplot2 package

library(ggplot2)

# Create a data frame with the numbers and their squares

df <- data.frame(numbers, squares)

# Create the bar graph

ggplot(df, aes(x = numbers, y = squares)) +

  geom_col()

This will create a bar graph with the numbers on the x-axis and the squares on the y-axis. The bars will represent the squares of the corresponding numbers.

You can customize the appearance of the graph by adding additional layers to the ggplot function. For example, you can change the appearance of the bars using the fill parameter, or add a title using the ggtitle function.

Here is an example of a customized bar graph:

ggplot(df, aes(x = numbers, y = squares)) +

  geom_col(fill = "orange") +

  ggtitle("Squares of the First 10 Numbers") +

  theme_minimal()

This will create a bar graph with orange bars and a title. The theme_minimal function sets a minimalistic theme for the graph.

­

Make a bar graph of the  square of the first 10 numbers in Calc(open office)

To create a bar graph of the results of the squares of the first 10 numbers in Calc, you can follow these steps:

    1. Enter the numbers you want to square in cells A1 through A10.

    2. In cells B1 through B10, enter the formulas to calculate the squares of the numbers in cells A1 through A10. You can use either the =POWER(A1, 2) or =A1^2 formula, as described in my previous response.

    3. Select the range of cells containing the numbers and the squares (e.g., A1:B10).

    4. Click the "Insert" tab and then click the "Bar" button in the "Charts" group.

    5. From the list of chart types that appears, choose the type of bar chart you want to create (e.g., "Clustered Bar," "Stacked Bar," etc.).

    6. A bar chart will be inserted in your spreadsheet, showing the squares of the first 10 numbers.

    7. To customize the appearance of the chart, you can right-click on it and select "Format Chart Area" to open the "Format Chart Area" dialog box. From here, you can change the colors, fonts, and other formatting options for the chart.

I hope this helps! Let me know if you have any questions.

Machine Learning for data journalists

 I have been writing about machine learning and data science as the next step for data journalists in 2019. For example: https://d3-media.blogspot.com/2019/03/kaggle-is-there-data-journalism-in.html. However this way of using ML had a steep learning curve. First you have be familiar with R and next you have to dig into various models of ML, like RandomForrest or Tensorflow. 

 Now there is light at the end of the tunnel, google sheets included an add-on for ML. Under extension in the ribbon you find ‘simple ML’ for sheets. This should give data journalism a new boost in working with statistical models. ML for sheets has two option, to predict missing values or to spot abnormal values. In order to get started you should read the documentation: https://simplemlforsheets.com/ and try the included dataset. Step by step you practice missing values, abnormal values, training and evaluating a model and finally predict values with a model. Have learned the hard way with R a couple of years ago, I was blown away; just a pushing a few buttons and done. No deep knowledge needed….however you better understand what you are doing. So if you have the taste, eat more ML at a special course by Google: Google Machine Learning Education: https://developers.google.com/machine-learning

 

From data journalism to data sensors

 MEASUREMENT OF CO2

From data journalism to data sensors

Some examples of  data sensors running on various micro controllers: 

1. Measuring climate in the living room on Raspberry Pi with a SGP30  measuring Co2 and DHT 22 voor temperature and humidity. Display graphics using Node-Red.

Measuring  Co2 with Arduino showing LCD crystal display and  RGB led for different levels of Co2

2. Measuring the weather with ESP32 Fire Beetle with BME280 measuring temperature, humidity and pressure. Display with ESP chart web server.

3. Mini solar panel measuring current with an Arduino Mega 2560, using INA219 and display on serial monitor, plotter and crystal  LCD.

Here are some toys for Xmas tree: