Trending December 2023 # Creating And Visualizing Reports Automatically # Suggested January 2024 # Top 13 Popular

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Introduction to Kibana Reporting

You can generate a report proper format including the Kibana dashboard, data visualization, and other tools which make your report more meaningful about data. We can also save our project based on the image and pdf format which depends upon the requirements of yours like either in PNG, PDF. Kibana reporting we can generate not only automatically but also manually. In this blog, we will do both generations manually and automatically. Apart from this, we can also generate a report with the help of a script and Watcher. Kibana reporting makes our analytics more powerful by seeing all data in a single place.

Kibana Reporting Tool

To find where is Kibana reporting tool available, we have to follow the below steps:

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1. Open the Kibana and it will take to your first page of the Kibana.

4. Now, we have to look Kibana reporting option in that as shown below in the screenshot.

Features of Kibana Reporting

Below there is a customize feature display option, which provides all details of different kinds of tools charts, visualization, etc. that we can use in reporting.

1. Reporting Permission

To generate a report in Kibana, you must have a granted privilege to create a report which we called resporting_user, and also you have the privilege to access the index data which you want to create report else data will not display.

2. Creating a Manual Report

We can also create a report manually. To create a report manual we have to follow the following steps:

Index your data and access that index in the Kibana main dashboard.

We can choose the option according to our requirements:

If we want to make a report of visualization and charts, so we can choose either Pdf or image option.

we can also convert the whole canvas into pdf.

We can also opt for the option of CSV.

Now we can save that file anywhere in our local system.

The size of the report in which we generate either pdf or image form that depends upon through which we generating. If we are using canvas, then it has to determine the size before creating the report depends upon the requirements. But, if you are using any other app then might be it depends upon the size of that app like if we want to reduce the report size we can just decrease the size of the browser.

We can also create a report using POST through HTTP (with the help of the script). We can do for both PDF or CSV.

Steps to create POST link for PDF:

Go to the visualization of the Kibana and choose the time filter option. For an absolute time we have to use the time filter option.

Now the Kibana toolbar will show the share option as shown (Fig. no. 5) above. We have to choose a PDF option and create a PDF link.

Now copy the link showing in the below screenshot.

Fig. no. 6: PDF URL link

We have to load the data from the search option and for the absolute time, we can use the time filter option. The Discover option is available in the left toolbar at the top.

Now the Kibana toolbar will show the share option as shown (Fig. no. 5) above. We have to choose the CSV option and create a CSV link.

Now copy the link showing in the below screenshot.

We can also generate an automatic link for PDF and CSV through the script. This script requests a POST link and will get the result in the form of JSON and also contain a link to download the report. To get the report through a link we have to give GET request in the script itself.

curl

Code:

Here kbn-version is telling what version we are using currently. And -u elastic will check grant permission of the user to create a report. XPOST is basically for the POST.

Final report result:

After we have done all activities of reporting then our report will look like this. I just uploaded the saved projects. You can see a lot of saved projects which option is shown in fig. no. 3 left side.

The Kibana reporting option is very awesome to visualize all things in a single place to decision making. It has a lot of features that you explore while going through the above mention methods. Kibana has also another option to create reports automatically using Watcher. For that, we have to link the Watcher certificate to the Kibana, so that it can access Watcher.

This is a guide to Kibana Reporting. Here we discuss the Introduction to Kibana Reporting and its tools along with different features with example. You can also go through our other suggested articles to learn more –

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Steps For Creating Sas Ods With Examples And Faq

Introduction to SAS ODS

SAS ODS is the output delivery system that helps produce the output format in the SAS data program to understand the ideas and data reports with additional platform support on multiple PROC statements in the file through different parameters called path representing the html output cases in other filename paths data style is an additional parameter for the default set of styles that represented in SAS environment.

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SAS ODS denoted the SAS OUTPUT DELIVERY SYSTEM.

It is more user-friendly with the html, pdf, and RTF word document formats.

So it will produce friendly data reports with accuracy and customized data view pattern for user understanding.

It also shared the same output format with other Operating System Environments and Software.

Multiple Proc statements help perform as a single file.

The SAS output delivery system helps to convert the data format like .html, pdf, etc., which helps to restore most of the areas in the SAS platform. It has two sets of parameters like, Path and Style; here, the path represents html set of input codes that get the appropriate output result cases, including the filename already saved with the .html format in the user location. Then the style represents the default set of methods available in the SAS environment on the proc set of SQL statements captured in the input file. The SAS dataset will be created accordingly to the ODS output statements with required output objects viewed by the record, and the same will be printed on the output console.

Using ODS, the html statement will create the file with an extension called .html format on the desired path based on the user inputs datasets output is produced, and the same will be consumed on the printed screen. It supports other extensions like pdf and word(TRF) format in the RTF file path across the data collections from the default procedure on the tools like ODS TRACE, ODS OUTPUT, SAS metadata, etc. These are some essential tools for printing the datas in the SAS environment. The SAS Graphics editor and other reporting procedures are buried with the procedural output on the demonstration that is exactly queried to retrieve the information.

Below code is the basic syntax for the formats:

The above codes are performed like Output Delivery System to access and convert the file systems.

Given below are the steps mentioned:

1. Navigate to the below URL and log in to the issue.

3. Then paste the below code for generating the ODS in html format.

4. ODS HTML

5. PATH = ‘/home/u61573544/August5’

6. FILE = ‘August5.html’

7. STYLE = EGDefault;

8. proc SQL;

9. select ID, SEGMENT, DENSITY

10. from MAPSSAS.INDIA

11. where ID in (1,6)

12. Order by ID;

13. quit;

14. ODS HTML CLOSE;

15. We get the above results with the columns like GLC: Province Number, Country Segment Number, and Levels for Reducing.

16. The condition is only satisfied with this query.

18. from MAPSSAS.INDIA

19. where ID in (1,6)

20. Order by ID;

21. And we get an output file with html format on the specified location like below.

The Data step and ODS will help create HTML and PDF reports in the default data table template to perform the user operations. Additionally, it will help write the output object to the HTML destination and the PDF format if the user input conversion is pdf.

Example for creating HTML Output using SAS ODS.

Code:

Output:

Example for creating PDF Output using SAS ODS.

Code:

Output:

The above example which same as the first example with html format output. Here we need to convert the data format by using the PDF view. We can use the same table with data and orders along with the FILE and STYLE paths.

Other FAQs are mentioned below:

Answer:

It is one type of conversion in SAS and stands for output delivery system. So it delivers using the ODS keyword, which is available in the SAS.

Answer:

Currently, it supports html, pdf, and RTF formats.

Answer:

Using ODS HTML

Specified PATH=’’

FILE=’name.html’

STYLE= “”;

Answer:

Using ODS PDF

FILE=”PATH”

STYLE=”name”

Answer:

Using ODS RTF

FILE=’path along with filename.rtf’

STYLE=”name”

The SAS ODS excludes the specific datas that may include source and destination parts. It also sets the default value, excludes ALL with other data lists, and sets it as the default value. It mainly focused on overcoming the data limitation compared to the standard SAS output.

This is a guide to SAS ODS. Here we discuss the introduction, examples, and steps for creating SAS ODS with FAQ. You may also have a look at the following articles to learn more –

Tips And Tricks For Creating Inclusive Content For Youtube

What do you mean by inclusive content on YouTube

Inclusive content on YouTube refers to videos that are welcoming and respectful to all viewers, regardless of their race, gender, sexual orientation, religion, ability, or other characteristics. This can include content that is produced with a diverse cast and crew, as well as content that actively works to challenge stereotypes and promote understanding of marginalized groups. Inclusive content can also include closed captions and audio descriptions for viewers with disabilities. Overall, the aim of inclusive content is to create a positive and respectful community for all viewers.

Inclusive content can have a number of benefits, including −

Increased representation and visibility of marginalized groups − Inclusive content can help to amplify the voices and perspectives of marginalized communities, which can help to combat stereotypes and bias.

Improved engagement and loyalty − Diversifying the perspectives and experiences represented in your content can help to attract and retain a wider range of readers or viewers.

Greater cultural understanding − Inclusive content can help to promote understanding and empathy between different groups, which can lead to a more tolerant and inclusive society.

Better business performance − Companies that are seen as inclusive and diverse are often perceived more positively by consumers, which can lead to better business performance.

Compliance with legal and ethical standards − Inclusive content can help to ensure that companies follow laws and regulations around discrimination and equal opportunity, as well as ethical standards of inclusivity and diversity.

Understanding the importance of words is key. They can motivate, but also have the capacity to differentiate and remove. When it comes to composing all-inclusive material, you must be mindful of the language you use.

Using gender-neutral terminology should be taken for granted. Instead of terms such as “mankind” and “salesman”, use “humankind” and “salesperson”. In addition, you should avoid any gender-based presumptions. Please note that politicians are not always men, and a parent does not necessarily have to be a woman. It is best to use a gender-neutral pronoun such as “they” in these situations.

Use inclusive language and avoid stereotypes or offensive language.

Consider the diversity of your audience and represent a wide range of perspectives. If you are looking to promote an inclusive and diverse environment, stock images featuring white, middle-class Americans or Europeans will not be enough. People prefer to be represented in images, which is why learning how to use diverse stock photos is essential. This will make them feel empowered, included, and increase their connection to your company and product.

Use closed captions or subtitles to make your content accessible to viewers with hearing impairments. Add descriptive text to your videos to make them accessible to viewers with visual impairments.

Be mindful of cultural references and avoid appropriating or misrepresenting cultures.

Consider the background and setting of your videos, and make sure they are not discriminatory or offensive.

Avoid using flashing lights or strobe effects, which can trigger seizures or migraines.

Be mindful of your tone and the words you use in your videos, and consider the impact they may have on different viewers.

Avoid industry jargon, abbreviations, and other specialized terms that the average consumer will not understand.

To ensure you have all the tools needed to create inclusive content going forward, make sure to commit the steps in this article to memory and add them to your style guide. Take some time to explore the stock photo libraries I mentioned, and keep learning about using inclusive language.

Google Data Studio Community Visualizations Best Reports

Did you know you can use Google Data Studio Community Visualizations to customize your report for clearer data?

Depicting figures is the norm in workplaces to understand the dynamics of progress in the company. But sometimes we need to represent a set of data in our own defined set.

Here we’ll look at some of the featured charts of the Community Visualizations Tool of Google Data Studio (now called Looker Studio):

Let’s get started!

We learned about all the different standard chart types in Google Data Studio, but what if the type of visualizations that we are after is not possible to achieve with any of those default chart types?

What if we want something completely different? The good news is within Data Studio, we have community visualizations and components.

The feature is right now in the developer preview mode as we speak.

Here’s the page Data Studio Community Visualizations and you can learn about everything that you need to put together to create a currency visualization.

As you can see, it says that you will have the flexibility to use any visualization library, any kind of JavaScript library, and CSS to create your visualizations.

Then you can define how to style your element, and how to tell the story with your data with that JavaScript library, CSS, and some coding knowledge.

You don’t have to be a developer or a technical expert to create your own visualizations. It’s possible for anyone that creates a custom visualization to share it with others.

People and companies are creating community visualizations, and they’re sharing them with us if Google reviews them. Then, they are shared in this little menu in Google Data Studio.

Instead of adding a chart menu and using one of the standard charts, you can open a little menu and access community visualizations that are approved by Google.

They work quite similarly to the rest of the standard Data Studio charts.

Let’s look at the Gauge chart by Data Studio and see how it works.

For example, we have a Metric and we can Sort it. We can apply the Default date range.

On the STYLE tab, we can apply a minimal gauge value at zero.

We can set the maximum. Since we have 43,474 new users, let’s put the maximum at 50,000 because of the major tick label and the number of minor tick sections, etc.

We need to define three different sections – green section, yellow section, and red section.

If the business owner is happy with 40 to 50,000 users in the time slot, it is green. They may start to worry if it’s somewhere between 25,000, and 40,000 users.

They have fewer users than they expected. Anything between zero and 25,000 users is bad and that someone’s gonna get red.

Basically, that’s it. So it has the same data Properties tab and it has the same install tab, just like any other standard chart in Data Studio.

The Sunburst chart shows one metric over multiple dimensions. It uses this kind of ring to show the distribution of that metric across different categories within that dimension.

Here we have revenue by Product Category as a product.

The main ring in the middle, which is a darker shade, represents the product category. We can see the nest, apparel, and office drinkware.

It’s similar to the Treemap visualization that we saw in the previous lesson. So the underlying data set is basically the same revenue, product, category, and product.

However, here we have a different kind of visualization. If you hover over any of these, we can see that the product category, for example, had a 71% share of revenue across all categories.

For example, we can move the mouse cursor to the outer ring to see the actual products within that category to actual NEST products within the NEST category, and how much was the share of revenue across the single category.

If required, we can have another ring and another dimension, as well.

Let’s take a look at another example. Here we have one metric session and three dimensions – the landing page, second page, and exit page.

We are visualizing a kind of a story of how people enter the website, which pages they land on, and what are the second pages that they see.

Finally, we see what is the last page that they see, and what is the page that they exit from.

The ring in the middle represents the landing page. We can see that the homepage was responsible for 57% of the sessions.

Of those people, 75,000 of them reloaded the homepage, which corresponds to 26% of people who landed on the homepage and 15% of all the stuff sections put on the website.

If we move another level out, we can see that the homepage could have been the exit session for our website as well.

There could have been other pages, so from homepage to homepage and then exit on the basket.

Remember that there can be different pages between the second page and the exit page, it doesn’t mean that they directly went from the second page to the exit page. So that was Sunburst.

Next, we have an Animated Bar chart.

We have the top 10 cities by revenue from 2023 to date, and this chart type uses animation to show how the top 10 cities by revenue change from month to month during this time period.

Here, we’ve chosen to highlight New York, San Francisco, and Mountain View.

But depending on the story you want to tell, you can decide which value from your categories you want to highlight.

Maybe you want to see the change in product revenue, or product categories revenue over time, you can highlight that and see how it changes over time.

A heat map is quite straightforward and can apply to dimension and one metric. In this example, we have users by day of the week and hour of the day.

This type of visualization uses different shades of color to show the highest and lowest values for that metric, in this case, users for the combinations for the different combinations of those two categories.

For example, Thursday at 10 am, we had this number of users, but on Wednesday, and Tuesdays we’re not so busy.

If the owner of this business wants to allocate resources to their customers, they know that Mondays, Thursdays, Fridays, and Saturdays are quite busy. Perhaps some of the employees could take a day off on Tuesdays and Wednesdays.

Moving on to the next area, here is the funnel visualization, which I’m sure would be exciting for most people.

For a long time, when people wanted to create a funnel visualization in Google Data Studio, they had to use a static image as a background, and then just overlay some scorecards over a static image.

But now with the introduction of this funnel diagram, it’s easier than ever to create a funnel visualization Data Studio.

All you need to do is just pick your metrics, and then place them in order. The chart will take care of the rest. Here we see how users go through the purchase funnel on this website.

How many sessions do we have? How many people? What percentage of them view the collection page?

How many product detail views do we have? How many products were added to the basket? How many checkouts? Finally, how many transactions?

Immediately, we can see the bottleneck from the collection page to the product detail. Maybe they have ugly product images.

If this is the issue, then they would have to look at their website and see what can be done to increase the percentage of product detail views.

Let’s move on to the next one – the range filter. This one is not a visualization, but it’s a community component.

It’s a filter menu that allows us to select a range between a minimum and a maximum number, or during the date range to filter the rest of the charts and components on the page.

Here we have 3rd of January to 20th of May,

We can use this range filter to limit the amount of data that is represented on the rest of the charts on this page.

Did you notice that as we adjusted the range, the trendline changed and the scorecard above was also refreshed to reflect the new numbers?

Let’s take a look at the final example – the Sankey chart. The Sankey chart is a good means to show the relationship between categories of two or more dimensions. Here, we have gender, device category, and age range.

We can hover the mouse pointer, and each of these sections highlights the relationship between each pair of categories, male users on mobile, and female users on desktop.

🚨 Note: Make sure to build mobile-friendly dashboards to not miss out on traffic from mobile users.

For example, desktop users that are 18 to 24 years old could be a category.

Now you know that within Data Studio, it is possible to create custom visualizations and components and share them with others.

You know where to find them and how to use them, and we also reviewed some of the most interesting ones together.

To access Community Visualizations, you need to sign up for a new account on the Data Studio Community Visualizations page. Once you have an account, you can use approved community visualizations by opening the menu in Google Data Studio and selecting the desired visualization.

A Gauge Chart is a type of community visualization in Google Data Studio that allows you to display a metric and define different sections to represent different ranges or thresholds. It is useful for visualizing data in relation to predefined thresholds or targets.

The Range Filter is a community component in Google Data Studio that allows you to select a range between a minimum and maximum value or set a date range to filter the data displayed in other charts and components on the page. It helps in analyzing data within specific ranges or time periods.

This is how we can use the Community Visualizations on the Google Data Studio.

These charts provide the freedom to get creative with the report, customized to serve you. The pros of Data Studio Community Visualizations are many.

The key merit of Community Visualization is the freedom to use any tool to represent data in a model that deems fit.

With easy legends and interactive elements, data analysis is a piece of cake! You can make it more fun by adding interactive elements and filters!

When it comes to interactive elements, Google Data Studio interactive dashboards can bring your reports to the next level.

Apple Reports Q1 2023 Earnings Miss Amid Weak Iphone Sales And Supply Shortages

Apple’s highly-anticipated earnings for fiscal Q1 2023 are here, covering the months of October, November, and December. This quarter represents the all-important holiday shopping season for Apple and was also the first full quarter of iPhone 14 availability.

In a quarter significantly impacted by supply chain shortages, Apple reported $117.15 billion in revenue with a profit of $29.99 billion. That’s a decline of 5% in revenue and 13% in net income, compared to the same quarter one year ago.

Going into today’s Q1 2023 earnings release, analysts were pessimistic in their predictions. The consensus among analysts was for total revenue of $122.85 billion, which means they were expecting a decline of around $1 billion compared to Q1 2023.

The context here is that Apple battled significant supply constraints in Q1 2023, primarily affecting the iPhone 14 Pro and iPhone 14 Pro Max. Apple was even forced to release a statement to investors back in November, warning that iPhone 14 Pro shipments would be lower than previously anticipated.

Today’s release of Q1 2023 earnings gives us a closer look at how big of an impact those supply shortages had on Apple’s performance.

For context, Apple reported a record revenue of $123.95 billion for Q1 2023 with a profit of $34.6 billion. That represented an all-time revenue record for the company. The 5% year-over-year revenue decline represents Apple’s largest quarterly revenue decline since 2023.

Apple no longer reports unit sales for any of its products but instead reports a breakdown of revenue by product category. Here is the full breakdown for the fiscal Q1 2023, compared to fiscal Q1 2023 numbers.

iPhone: $65.78 billion (vs. $71.63 billion)

Mac: $7.74 billion (vs. $10.85 billion)

iPad: $9.40 billion (vs. $7.25 billion)

Wearables, home, and accessories: $13.48 billion (vs. $14.70 billion)

Services: $20.78 billion (vs. $19.5 billion)

Apple CEO Tim Cook touted the company’s performance in Q1 2023:

“As we all continue to navigate a challenging environment, we are proud to have our best lineup of products and services ever, and as always, we remain focused on the long term and are leading with our values in everything we do,” said Tim Cook, Apple’s CEO. “During the December quarter, we achieved a major milestone and are excited to report that we now have more than 2 billion active devices as part of our growing installed base.”

Apple CFO Luca Maestri echoed Cook:

“We set an all-time revenue record of $20.8 billion in our Services business, and in spite of a difficult macroeconomic environment and significant supply constraints, we grew total company revenue on a constant currency basis,” said Luca Maestri, Apple’s CFO. “We generated $34 billion in operating cash flow and returned over $25 billion to shareholders during the quarter while continuing to invest in our long-term growth plans.”

You can read Apple’s full earnings release in this post on Apple Newsroom. Stay tuned to 9to5Mac for more coverage from the AAPL earnings call with Tim Cook and Luca Maestri next. You can also listen live via the company’s Investor Relations website at 2:00 pm PT/5:00 pm ET.

AAPL share prices are sliding in after-hours trading, down as much as 5%.

FTC: We use income earning auto affiliate links. More.

How To Remove Automatically Installed Iphone Security Patches

Apple now allows users to remove any iPhone security patches that were automatically installed by iOS 16’s Rapid Security Response system. Here’s how to do that.

What’s happening? Apple has acknowledged that users can remove any security patches installed by the new Rapid Security Response feature in iOS 16.

Why care? Sometimes an app you use most often won’t work after a rapid security response or you may need to test something before a patch was installed. Well, now you can roll back the iPhone’s security patches!

What to do? Don’t touch this feature unless you know what you’re doing.

Apple has updated its support document to confirm that it is now possible to manually remove any security patches for critical exploits that were automatically installed by iOS 16’s Rapid Security Response system.

In Settings → General → About, touch “iOS Version” and then choose “Remove Security Update.” If you don’t see this option, there are no rapid security patches installed. You can also reinstall any removed rapid security responses later.

But when said patch becomes part of a standard iOS software update, it gets installed permanently and can no longer be removed.

Rapid Security Response is a feature of iOS 16, iPadOS 16, and macOS Ventura designed to permit Apple to deliver security patches for critical vulnerabilities without fully updating your iPhone. The goal is to deliver critical patches before they become part of other improvements in a future software update.

It lets Apple continue releasing security updates for older operating systems (a good example is iOS 15.7, a bug-fix update that arrived alongside iOS 16).

You can get Rapid Security Responses automatically on your iPhone if you go to Settings → General → Software Update → Automatic Updates and make sure that “Security Responses & System Files” is turned on.

Doing so will ensure that any rapid security responses and system files are automatically downloaded and installed on your iPhone and supported accessories.

If you turn off automatic Rapid Security Responses updates, you can manually install these security patches in Settings → General → Software Update.

Some security patches may require restarting the device to complete the installation. Apple notes that certain system files will always be auto-installed even if rapid security responses are turned off, but doesn’t specify which ones.

This feature is also present in iPadOS 16 and macOS Ventura. However, those updates are not coming out until October so Apple’s support document currently doesn’t mention them.

By separating security patches from standard iOS releases, Apple can react much faster to protect the privacy and security of its customers. Say there’s a new zero-day exploit in iOS that is being used in the wild to target unsuspecting iPhone users.

As soon as Apple has created a solution to patch the vulnerability, it’s able to push and install it automatically on all devices with the Rapid Security Response feature enabled. Previously, folks had to wait until a patch was implemented in a future iOS software update, leaving them open to exploits.

The vast majority of regular users should leave the automatic iPhone patches turned on by default. Otherwise, you’ll need to wait for full iOS updates to get the patches. It goes without saying that no one should remove a security patch installed by iOS 16’s Rapid Security Response unless they have a very good reason for it.

If you’re an app developer there’s some value in being able to test your software with different security patches installed. Another example would be certain business apps and management tools. Outside of those edge cases, everyone should just turn on rapid security patches on their iPhone and be down with it.

Related tips:

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