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Outlook 98 was initially a free download and later remained as a free upgrade for Outlook 97 users adding new features - most notably support for non-Exchange accounts. Its availability has been pulled shortly before the release of Outlook 2000. As its release was outside the normal release cycle of the Office suites (to which the version numbers have been tied), the version number of Outlook 98 could not be a full version higher than Outlook 97.
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jq works quite well for this, you can install it via Homebrew. Specific usage depends on the structure of your JSON file, the accepted answer on -json-array-into-csv has details which should help to get started.
Other than some poor experiences you've had with the web-based converters, you've not indicated what your preferences are for programming language; e.g. Python, JavaScript, shell, etc. There are many options available, and it's really a matter of finding one that's in your "comfort zone".
Search engines are great for identifying options for something like this. For example, if you want to do this in Python, this search may help. A more language-neutral search may be to search github for JSON to CSV converters.
The ws variable will represent a worksheet in excel. In this example, we will use this worksheet to both read in our JSON string from and write the parsed JSON to Excel. To assign a worksheet to this variable, set it like this:
Lastly, to put the JSON string into the jsonObject, we will use one of the methods contained in the JsonConverter file you imported to begin this example. Since the builder of this library made all of the subroutines public, it is callable from the module this code is in. That call looks like this:
The structure of this tutorial is as follows. In the first section, we will have a quick look at a basic example of how to convert JSON to an Excel file with Pandas and Python. After we have seen and briefly learned, the syntax we will continue with a section covering some examples of when this knowledge may be useful. In the third section, we will have a look at the prerequisites of this Python tutorial and how to install Pandas. After we are sure we have everything needed, we will go through four steps on how to save JSON to Excel in Python. Here, we will start by reading the JSON file from the hard drive and saving it as an Excel file. Furthermore, we will also look at an example when reading JSON from a URL and saving it as a .xlsx file. Finally, we will also use the Python package JSON to excel converter.
Briefly explained, we first import Pandas, and then we create a dataframe using the read_json method. Finally, we save the dataframe to a .xlsx file with the to_excel method. Remember to change the string to the path we are you store the JSON data as well as where you want to save the Excel file.
As you can see in the code chunk above, we are first opening a file with Python (i.e., as json_file) with the with-statement. Moreover, in the with-statement we are using the load method. This is when we are actually reading the JSON file.
In this section, we will look at a bit more complex example. Now, there are times when the JSON data is nested and if we use the method above the Excel file will be messy. Luckily, we can fix this by using json_normalize from Pandas and the requests module:
In the code chunk above, we first imported requests and then json_normalize. Second, we created a string with the URL to the JSON data we want to save as an Excel file. Now, the next thing we do to use the get method which sends a GET request to our URL. Briefly, this is pretty much reading in the webpage that we want, and we can, then, use the json method to get the json data. Finally, we used the json_normalize to create a dataframe that we save as an Excel file. Again, saving the data we read from the JSON file is done with the to_excel method.
Now, as you may have noticed in the image of the output (i.e., the .xlsx files opened in Excel) we have a row that is not part of our original data.

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I used Excel years ago on Microsoft Windows, and hated how often Windows would crash and I'd lose my data. However, this version on Windows seems to be pretty stable (no crashes so far) and is in many ways more intuitive to use (at least for me) than Google Sheets. I would probably give it 5 stars, but I think the pricing for Microsoft office in general is pretty ridiculous, given that it's basically 30-year old software that hasn't really evolved that much in the past few years. I do think the move to the Cloud (Office 365) was a great idea, but when you consider that Google Docs is free, it's hard to justify paying as much as we do for this product, especially when you consider that Microsoft's move to .xlsx file format (from .xls) was essentially so that they could continue their monopoly. Boo.

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The actor is written in Node.js and uses Apify SDK. On input, it takes an Instagram query or a list of direct profile URLs, then it searches the query and scrapes page details, posts, or comments from the results and direct URLs. All of the resulting data is stored in a structured form into a dataset, from which you can download it in formats such as JSON, XML, Excel, CSV, etc.
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This new feature in Instagram lets you not only view all of your data but download an entire backup of your Instagram account including comments, photos, liked pictures, and more. It's currently rolling out on Android and iOS, and if you don't see it yet, you can still do it right from your phone's web browser.
To download your data instead, select "Request Download" under the Data Download heading (you can also just visit instagram.com/download/request/ to jump right there), then enter the email address you want to send it to (your account email should be automatically pre-filled) and tap "Next." Enter your account password on the next page, then "Request Download" to finish up.
ATLAS.ti imports Excel files generated by exportcomments.com. You can use the service for free to export up to 100 comments per link. For a small fee, you can use the service for three days to download the data you need. This also allows you to export nested comments.
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As a Social Media page admin or online marketer, there would be a chance that you want to save all the comments on your posts at some points. For example you may want to aggregate data to conduct sentiment analysis for your post; Picking winners of your Facebook game campaign from Facebook likes and comments data or you just want to simply download a copy of them. Okay, so let's get started.
First, we need to iterate through the JSON file which is gotten from scraping the tags which returns all the posts which are using that hashtag. Just as a reminder, the command would be: ins

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Pengalaman saya menggunakan rumus di excel, jika transaksi semakin banyak maka program akan semakin lama untuk bisa dibuka. Solusinya memang bisa dengan menambah spesifikasi komputer. Namun ini adalah pilihan yang mahal. Opsi yang lebih baik adalah dengan menggunakan VBA.
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Microsoft excel memang canggih, apalagi bila anda bisa mengoptimalkan penggunaan beragam function dan macro didalamnya. Dengan microsoft excel kita bisa mencatat beragam transaksi dengan model input bebas sesuka kita, termasuk untuk mencatat transaksi akuntansi. Bagi mereka yang mencari software akuntansi gratis, mungkin salah satu opsi yang terlintas di benak adalah menggunakan komputer akuntansi excel karena tidak perlu beli. Kebanyakan komputer sudah dilengkapi microsoft office dimana ada program aplikasi excel didalamnya, terlepas bajakan atau tidak.
Diatas dapat kita lihat bahwa program komputer excel sekilas nampak lebih murah namun apabila kita bandingkan dengan kerepotan ketika kita membutuhkan rekap data, dan berbagai laporan analisa lainnya maka kita tetap harus banyak kerja manual kembali.
Bahaya utama dari laporan akuntansi menggunakan excel ini adalah masalah integritas data dan ketidakadaan fasilitas untuk audit. Karena di excel semua berbasis file sehingga siapapun bebas mengedit file beserta data-data keuangan penting yang ada didalamnya.
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Armor and Shield Proficiency: Monks are not proficient with any armor or shields. When wearing armor, using a shield, or carrying a medium or heavy load, a monk loses his AC bonus, as well as his fast movement and flurry of blows abilities.
When unarmored and unencumbered, the monk adds his Wisdom bonus (if any) to his AC and his CMD. In addition, a monk gains a +1 bonus to AC and CMD at 4th level. This bonus increases by 1 for every four monk levels thereafter, up to a maximum of +5 at 20th level.
These bonuses to AC apply even against touch attacks or when the monk is flat-footed. He loses these bonuses when he is immobilized or helpless, when he wears any armor, when he carries a shield, or when he carries a medium or heavy load.
You can make all of your attacks with a single monk weapon. Alternatively, you can replace any number of these attacks with an unarmed strike. This FAQ specifically changes a previous ruling made in the blog concerning this issue.
A monk applies his full Strength bonus to his damage rolls for all successful attacks made with flurry of blows, whether the attacks are made with an off-hand or with a weapon wielded in both hands. A monk may substitute disarm, sunder, and trip combat maneuvers for unarmed attacks as part of a flurry of blows. A monk cannot use any weapon other than an unarmed strike or a special monk weapon as part of a flurry of blows. A monk with natural weapons cannot use such weapons as part of a flurry of blows, nor can he make natural attacks in addition to his flurry of blows attacks.
A monk also deals more damage with his unarmed strikes than a normal person would, as shown above on Table: Monk. The unarmed damage values listed on Table: Monk are for Medium monks. A Small monk deals less damage than the amount given there with his unarmed attacks, while a Large monk deals more damage; see Table: Small or Large Monk Unarmed Damage.
At 1st level, the monk gains Stunning Fist as a bonus feat, even if he does not meet the prerequisites. The monk may attempt a stunning attack a number of times per day equal to his monk level, plus one more time per day for every four levels he has in classes other than monk.
At 4th level, and every 4 levels thereafter, the monk gains the ability to apply a new condition to the target of his Stunning Fist. This condition replaces stunning the target for 1 round, and a successful saving throw still negates the effect.
The monk must choose which condition will apply before the attack roll is made. These effects do not stack with themselves (a creature sickened by Stunning Fist cannot become nauseated if hit by Stunning Fist again), but additional hits do increase the duration.
At 2nd level or higher, a monk can avoid damage from many area-effect attacks. If a monk makes a successful Reflex saving throw against an attack that normally deals half damage on a successful save, he instead takes no damage. Evasion can be used only if a monk is wearing light armor or no armor. A helpless monk does not gain the benefit of evasion.
At 3rd level, a monk uses his monk level in place of his base attack bonus when calculating his Combat Maneuver Bonus. Base attack bonuses granted from other classes are unaffected and are added normally.
At 5th level, a monk adds his level to all Acrobatics checks made to jump, both for vertical jumps and horizontal jumps. In addition, he always counts as having a running start when making jump checks using Acrobatics. By spending 1 point from his ki pool as a swift action, a monk gains a +20 bonus on Acrobatics checks made to jump for 1 round.
At 12th level or higher, a monk can slip magically between spaces, as if using the spell dimension door. Using this ability is a move action that consumes 2 points from his ki pool. His caster level for this effect is equal to his monk level. He cannot take other creatures with him when h

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